for a Brighter Future

HubSpot CRM Corporate Training Program

🟢 LEVEL 1: Beginner (HubSpot CRM Fundamentals)

Duration: 6 Days (48 Hours)

🎯 Learning Objectives (Level 1)

• Understand HubSpot CRM structure and tools
• Learn customer data and pipeline management
• Understand sales, marketing, and service workflows
• Learn basic reporting and dashboards

✅ Learning Outcomes (Level 1)

• Manage contacts, companies, and deals
• Track leads and sales pipelines
• Create basic marketing campaigns
• Manage customer service tickets
• Build reports and dashboards
• Ready for entry-level CRM/HubSpot roles

📘 Modules & Topics

Module 1: HubSpot Overview & CRM Basics (1 Day)

• Introduction to CRM concepts
• HubSpot ecosystem (Sales, Marketing, Service Hub)
• Navigation and UI

Module 2: Contacts & Data Management (1 Day)

• Contacts, companies, deals
• Data properties and lifecycle stages
• Data import/export

Module 3: Sales Hub Basics (1 Day)

• Deals and pipelines
• Lead tracking
• Task and activity management

Module 4: Marketing Hub Basics (1 Day)

• Email marketing
• Forms and landing pages
• Campaign basics

Module 5: Service Hub Basics (1 Day)

• Tickets and support pipelines
• Customer service tools
• Knowledge base basics

Module 6: Reporting & Dashboard Basics (1 Day)

• Standard reports
• Dashboard creation

🟡 LEVEL 2: Intermediate (Implementation & Automation)

Duration: 10 Days (80 Hours)

🎯 Learning Objectives (Level 2)

• Configure and customize HubSpot CRM
• Implement automation across sales, marketing, and service
• Analyze performance using reports and dashboards
• Integrate HubSpot with external tools

✅ Learning Outcomes (Level 2)

• Build automated sales and marketing workflows
• Customize pipelines and CRM data structure
• Create advanced reports and dashboards
• Integrate HubSpot with external systems
• Deliver end-to-end CRM implementation
• Ready for HubSpot Specialist / Consultant roles

📙 Modules & Topics

Module 1: Sales Automation (2 Days)

• Pipeline customization
• Deal automation
• Sales sequences

Module 2: Marketing Automation (2 Days)

• Email workflows
• Lead nurturing campaigns
• Marketing automation strategies

Module 3: Service Automation (1.5 Days)

• Ticket automation
• SLA management
• Customer feedback tools

Module 4: CRM Customization (1.5 Days)

• Custom properties and objects
• Pipeline customization
• Workflow automation

Module 5: Reporting & Analytics (1.5 Days)

• Custom reports
• Attribution reporting
• Performance dashboards

Module 6: Integration Basics (1 Day)

• HubSpot APIs
• Integration with third-party tools
• Data synchronization

Module 7: Hands-on Project (0.5 Day)

• End-to-end CRM workflow setup

🔴 LEVEL 3: Advanced (CRM Strategy & Enterprise Implementation)

Duration: 12 Days (96 Hours)

🎯 Learning Objectives (Level 3)

• Design enterprise CRM strategies using HubSpot
• Implement advanced automation and personalization
• Analyze business performance using advanced analytics
• Integrate HubSpot with enterprise systems
• Manage data governance and CRM scalability

✅ Learning Outcomes (Level 3)

• Design and implement end-to-end CRM strategies
• Build advanced automated workflows and campaigns
• Analyze revenue and customer data effectively
• Integrate HubSpot with enterprise applications
• Manage data governance and compliance
• Deliver enterprise-level CRM solution
• Ready for CRM Manager / HubSpot Architect roles

📕 Modules & Topics

Module 1: CRM Strategy & Lifecycle Management (2 Days)

• Customer lifecycle management
• CRM strategy design
• Funnel optimization

Module 2: Advanced Automation & Personalization (2 Days)

• Advanced workflows
• Personalization strategies
• AI-based automation

Module 3: Advanced Reporting & Data Analytics (2 Days)

• Revenue analytics
• Attribution models
• Data-driven decision making

Module 4: Integration & API Development (2 Days)

• Advanced API integration
• Custom integrations
• Middleware concepts

Module 5: Data Governance & Security (1 Day)

• Data privacy (GDPR basics)
• Access control
• Data quality management

Module 6: CRM Optimization & Scaling (1.5 Days)

• Performance optimization
• Multi-team and multi-region setup

Module 7: Testing & Deployment (0.5 Day)

• Testing workflows
• Release management

Module 8: Capstone Project (1 Day)

• Enterprise CRM implementation

Summary

Microsoft Dynamics CRM (Dynamics 365 CE) Corporate Training Program

🟢 LEVEL 1: Beginner (CRM Fundamentals)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Dynamics CRM Overview & Navigation (1 Day)

• Introduction to CRM concepts
• Dynamics 365 CE modules (Sales, Service, Marketing)
• UI navigation (Model-driven apps)

Module 2: Core Entities & Data Model (2 Days)

• Accounts, Contacts, Leads
• Opportunities and activities
• Relationships and data structure

Module 3: Sales Module Basics (1.5 Days)

• Lead qualification
• Opportunity management
• Sales pipeline

Module 4: Customer Service Basics (1.5 Days)

• Case management
• Service level agreements (SLA)
• Knowledge base

Module 5: Marketing Basics (1 Day)

• Campaigns and segments
• Email marketing basics

Module 6: Reports & Dashboards (1 Day)

• System views
• Dashboards and reports

🎯 Learning Objectives (Level 1)

• Understand Dynamics CRM structure and modules
• Learn customer data and relationship management
• Understand sales, marketing, and service workflows
• Learn reporting and dashboard basics

✅ Learning Outcomes (Level 1)

• Manage leads, accounts, contacts, and opportunities
• Track sales pipeline and customer interactions
• Handle customer service cases and SLAs
• Create basic campaigns and reports
• Ready for entry-level Dynamics CRM roles

🟡 LEVEL 2: Intermediate (Implementation & Customization)

Duration: 15 Days (120 Hours)

📙 Modules & Topics

Module 1: Advanced Sales & Service (3 Days)

• Sales automation
• Customer service automation
• Omnichannel engagement

Module 2: CRM Customization (3 Days)

• Custom entities and fields
• Forms, views, and dashboards
• Business rules

Module 3: Power Platform Integration (3 Days)

• Power Apps (model-driven apps)
• Power Automate workflows
• Dataverse basics

Module 4: Security & Access Control (2 Days)

• Security roles
• Business units
• Field-level security

Module 5: Automation & Workflows (2 Days)

• Workflow automation
• Business process flows
• Approval processes

Module 6: Integration Basics (1 Day)

• APIs and connectors
• Data import/export

Module 7: Hands-on Project (1 Day)

• End-to-end CRM solution implementation

🎯 Learning Objectives (Level 2)

• Configure Dynamics CRM for business processes
• Customize CRM entities and workflows
• Build automation using Power Platform
• Manage security and access control
• Integrate CRM with external systems

✅ Learning Outcomes (Level 2)

• Customize CRM data model and UI
• Implement automated workflows and business processes
• Build apps and workflows using Power Platform
• Configure security roles and permissions
• Integrate CRM with external applications
• Deliver complete CRM solution
• Ready for Dynamics CRM Functional Consultant roles

🔴 LEVEL 3: Advanced (Architecture & Enterprise CRM Solutions)

Duration: 20 Days (160 Hours)

📕 Modules & Topics

Module 1: Dynamics CRM Architecture (4 Days)

• Solution architecture
• Environment and lifecycle management
• Performance optimization

Module 2: Advanced Power Platform (4 Days)

• Advanced Power Apps development
• Power Automate advanced workflows
• Dataverse advanced concepts

Module 3: Integration & Development (3 Days)

• REST APIs and web services
• Plugins and custom development (.NET basics)
• Azure integration

Module 4: Advanced Automation & AI (2 Days)

• AI Builder
• Predictive analytics
• Intelligent automation

Module 5: Data Migration & Governance (2 Days)

• Data migration strategies
• Data quality and governance

Module 6: Security & Compliance (2 Days)

• Advanced security model
• Compliance and auditing

Module 7: Testing & Deployment (1 Day)

• Testing strategies
• Release management

Module 8: Capstone Project (2 Days)

• Enterprise CRM implementation

🎯 Learning Objectives (Level 3)

• Design enterprise CRM architectures using Dynamics 365
• Develop advanced applications and integrations
• Implement automation and AI-driven workflows
• Manage data, security, and governance
• Optimize performance and scalability

✅ Learning Outcomes (Level 3)

• Architect scalable Dynamics CRM solutions
• Develop custom plugins and integrations
• Build advanced Power Platform applications
• Implement AI-driven CRM automation
• Manage data migration and governance
• Deliver enterprise-level CRM solution
• Ready for:
  • Dynamics 365 Solution Architect
  • Senior CRM Consultant

📊 Overall Program Summary

 Salesforce (Admin + Developer) Corporate Training Program

🟢 LEVEL 1: Beginner (Salesforce Fundamentals – Admin Basics)

Duration: 10 Days (80 Hours)

🎯 Learning Objectives (Level 1)

• Understand Salesforce CRM and platform basics
• Learn data modeling and object relationships
• Manage users, roles, and security
• Understand sales and service processes
• Build reports and basic automation

✅ Learning Outcomes (Level 1)

• Navigate Salesforce Lightning interface
• Create and manage objects, fields, and relationships
• Configure users, roles, and permissions
• Manage leads, opportunities, and cases
• Build reports and dashboards
• Create basic automation workflows
• Ready for Salesforce Administrator (Admin) certification

📘 Modules & Topics

Module 1: Salesforce Overview & CRM Basics (2 Days)

• Introduction to CRM and Salesforce ecosystem
• Cloud model (Sales Cloud, Service Cloud)
• Navigation (Lightning Experience)

Module 2: Data Model & Objects (2 Days)

• Standard vs Custom objects
• Fields, relationships
• Schema design basics

Module 3: User Management & Security (2 Days)

• Users, roles, profiles
• Permission sets
• Organization-wide defaults

Module 4: Sales & Service Processes (2 Days)

• Leads, accounts, contacts
• Opportunities and pipelines
• Case management

Module 5: Reports & Dashboards (1 Day)

• Report types
• Dashboards and analytics

Module 6: Automation Basics (1 Day)

• Workflow rules
• Process Builder basics
• Introduction to Flow

🟡 LEVEL 2: Intermediate (Admin + Developer Implementation)

Duration: 18 Days (144 Hours)

🎯 Learning Objectives (Level 2)

• Configure advanced Salesforce features
• Develop Apex code and automation
• Build Lightning UI components
• Integrate Salesforce with external systems
• Design scalable CRM solutions

✅ Learning Outcomes (Level 2)

• Implement advanced security and sharing models
• Build complex automation using Flow and Apex
• Develop Apex triggers and classes
• Create Lightning components for UI customization
• Integrate Salesforce with external APIs
• Deliver complete CRM solution
• Ready for:
  • Salesforce Administrator (Advanced)
  • Salesforce Platform Developer I

📙 Modules & Topics

Module 1: Advanced Data Modeling (2 Days)

• Advanced relationships
• Data validation rules
• Record types and page layouts

Module 2: Advanced Security & Sharing (2 Days)

• Role hierarchy
• Sharing rules
• Field-level security

Module 3: Automation Advanced (3 Days)

• Salesforce Flow (screen, auto-launched flows)
• Approval processes
• Process automation design

Module 4: Apex Programming Basics (3 Days)

• Apex syntax and structure
• Classes, triggers
• SOQL and SOSL

Module 5: Lightning Components (2 Days)

• Lightning Web Components (LWC) basics
• UI customization

Module 6: Integration Basics (2 Days)

• REST/SOAP APIs
• Data import/export
• External system integration

Module 7: Reports & Analytics Advanced (2 Days)

• Custom report types
• Advanced dashboards

Module 8: Hands-on Project (2 Days)

• End-to-end CRM implementation

🔴 LEVEL 3: Advanced (Salesforce Architecture & Enterprise Development)

Duration: 22 Days (176 Hours)

🎯 Learning Objectives (Level 3)

• Design enterprise Salesforce architectures
• Develop scalable and maintainable applications
• Implement advanced integrations and APIs
• Apply DevOps and deployment strategies
• Manage data, security, and governance

✅ Learning Outcomes (Level 3)

• Architect scalable Salesforce solutions
• Develop enterprise-grade Apex and Lightning applications
• Implement complex integrations and automation
• Manage CI/CD pipelines and deployments
• Ensure data quality, security, and compliance
• Deliver enterprise CRM system
• Ready for:
  • Salesforce Platform Developer II
  • Salesforce Architect roles

📕 Modules & Topics

Module 1: Salesforce Architecture (4 Days)

• Multi-org strategy
• Data architecture
• Scalability and performance

Module 2: Advanced Apex & Development (4 Days)

• Advanced Apex patterns
• Batch Apex and asynchronous processing
• Test classes and coverage

Module 3: Advanced Lightning Development (3 Days)

• Advanced LWC
• Component communication
• UI performance optimization

Module 4: Integration & API Management (3 Days)

• Advanced API integration
• Middleware and event-driven integration
• Platform events

Module 5: DevOps & Deployment (2 Days)

• Change sets and deployment tools
• CI/CD for Salesforce
• Version control

Module 6: Security & Governance (2 Days)

• Advanced security design
• Compliance and auditing

Module 7: Data Migration & Management (2 Days)

• Data migration strategies
• Data quality and governance

Module 8: Capstone Project (2 Days)

• Enterprise CRM implementation

Summary

Zoho CRM Corporate Training Program (India SMB + Enterprise)

🟢 LEVEL 1: Beginner (Zoho CRM Fundamentals)

Duration: 6 Days (48 Hours)

🎯 Learning Objectives (Level 1)

• Understand Zoho CRM structure and ecosystem
• Learn lead, contact, and deal management
• Understand sales, marketing, and support workflows
• Learn basic reporting and dashboards

✅ Learning Outcomes (Level 1)

• Manage leads, contacts, and deals effectively
• Track sales pipeline and activities
• Create basic marketing campaigns
• Handle customer support tickets
• Generate reports and dashboards
• Ready for entry-level CRM roles in SMB/enterprise

📘 Modules & Topics

Module 1: Zoho CRM Overview & Setup (1 Day)

• CRM fundamentals
• Zoho ecosystem (CRM, Books, Desk, Campaigns)
• UI navigation and setup
• Indian business use cases

Module 2: Leads & Contacts Management (1 Day)

• Lead capture and qualification
• Contacts and accounts
• Data import/export

Module 3: Sales Pipeline Management (1 Day)

• Deals and stages
• Activities and tasks
• Sales forecasting basics

Module 4: Marketing Basics (1 Day)

• Email campaigns
• Lead nurturing
• Campaign tracking

Module 5: Customer Support Basics (1 Day)

• Cases and ticketing
• Zoho Desk integration basics
• Customer lifecycle

Module 6: Reports & Dashboards (1 Day)

• Standard reports
• Dashboard creation
• KPI tracking

🟡 LEVEL 2: Intermediate (Implementation & Automation)

Duration: 10 Days (80 Hours)

🎯 Learning Objectives (Level 2)

• Configure Zoho CRM based on business workflows
• Implement automation and process control using Blueprint
• Customize CRM modules and layouts
• Integrate Zoho CRM with ecosystem apps
• Analyze performance using reports and dashboards

✅ Learning Outcomes (Level 2)

• Automate sales and business workflows
• Implement Blueprint for process standardization
• Customize CRM modules and user interface
• Integrate CRM with Zoho Books, Desk, and Campaigns
• Create advanced reports and dashboards
• Deliver end-to-end CRM solution
• Ready for Zoho CRM Consultant roles

📙 Modules & Topics

Module 1: Sales Automation (2 Days)

• Workflow rules
• Assignment rules
• Sales process automation

Module 2: Blueprint & Process Management (2 Days)

• Blueprint design
• Process standardization
• Approval processes

Module 3: CRM Customization (2 Days)

• Custom modules and fields
• Layout customization
• Validation rules

Module 4: Marketing Automation (1.5 Days)

• Zoho Campaigns integration
• Lead scoring
• Customer journeys

Module 5: Integration & Zoho Ecosystem (1.5 Days)

• Zoho Books (GST & invoicing – India context)
• Zoho Desk (support integration)
• Third-party integrations

Module 6: Reporting & Analytics (1 Day)

• Advanced reports
• Sales analytics
• KPI dashboards

Module 7: Hands-on Project (0.5 Day)

• End-to-end CRM implementation

🔴 LEVEL 3: Advanced (Enterprise CRM & Architecture)

Duration: 12 Days (96 Hours)

🎯 Learning Objectives (Level 3)

• Design CRM strategies for SMB and enterprise environments
• Implement advanced automation and AI-driven workflows
• Integrate Zoho CRM with enterprise systems
• Manage data governance and compliance
• Optimize CRM performance and scalability

✅ Learning Outcomes (Level 3)

• Design and implement scalable CRM strategies
• Use AI features for lead scoring and predictions
• Build API-based integrations and automation
• Manage data governance and compliance requirements
• Analyze business performance using advanced analytics
• Deliver enterprise-level CRM solution
• Ready for CRM Manager / Zoho Architect roles

📕 Modules & Topics

Module 1: CRM Strategy & Lifecycle (2 Days)

• Customer lifecycle management
• Sales funnel optimization
• CRM strategy for SMB + enterprise

Module 2: Advanced Automation & AI (2 Days)

• Advanced workflows
• Zia AI features (prediction, scoring)
• Personalization strategies

Module 3: Integration & API Development (2 Days)

• Zoho CRM APIs
• Webhooks
• Middleware integrations

Module 4: Data Management & Governance (2 Days)

• Data quality management
• GDPR/Indian compliance basics
• Access control and security

Module 5: Analytics & Business Intelligence (1.5 Days)

• Zoho Analytics
• Revenue and performance insights

Module 6: CRM Optimization & Scaling (1.5 Days)

• Multi-region/multi-team setup
• Performance optimization

Module 7: Capstone Project (1 Day)

• Enterprise CRM implementation (India business case)

Summary

Cybersecurity – Cloud Security Corporate Training Program

🟢 LEVEL 1: Beginner (Cloud Security Fundamentals)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to Cloud Security (1 Day)

• Cloud computing basics
• Shared Responsibility Model
• Cloud service models (IaaS, PaaS, SaaS)

Module 2: Identity & Access Management (IAM) Basics (2 Days)

• Users, roles, policies
• Authentication vs authorization
• Least privilege principle

Module 3: Data Security Fundamentals (1.5 Days)

• Data classification
• Encryption (at rest & in transit)
• Key management basics

Module 4: Network Security in Cloud (1.5 Days)

• VPC/VNet basics
• Security groups and firewalls
• Network segmentation

Module 5: Monitoring & Logging Basics (1 Day)

• Cloud monitoring tools
• Logs and alerts
• Security event basics

Module 6: Compliance & Governance Basics (1 Day)

• Compliance standards (ISO, GDPR basics)
• Governance and policies

🎯 Learning Objectives (Level 1)

• Understand cloud security fundamentals and risks
• Learn IAM and access control basics
• Understand data protection and encryption
• Learn network security basics in cloud
• Understand compliance and governance

✅ Learning Outcomes (Level 1)

• Configure basic IAM roles and permissions
• Apply encryption for data protection
• Set up basic network security controls
• Monitor logs and identify security events
• Understand compliance requirements
• Ready for entry-level cloud security roles

🟡 LEVEL 2: Intermediate (Cloud Security Implementation)

Duration: 12 Days (96 Hours)

📙 Modules & Topics

Module 1: IAM Advanced (2 Days)

• Role-based access control (RBAC)
• Identity federation
• Multi-Factor Authentication (MFA)

Module 2: Data Security & Encryption (2 Days)

• Key Management Services (KMS)
• Secrets management
• Data loss prevention (DLP)

Module 3: Network Security Deep Dive (2 Days)

• Advanced VPC/VNet design
• Private endpoints
• WAF and DDoS protection

Module 4: Security Monitoring & Threat Detection (2 Days)

• SIEM basics
• Threat detection tools
• Logging and alerts

Module 5: Governance & Compliance (2 Days)

• Cloud policies (AWS Config / Azure Policy)
• Risk management frameworks
• Auditing

Module 6: DevSecOps Basics (1 Day)

• Security in CI/CD pipelines
• Code scanning basics

Module 7: Hands-on Project (1 Day)

• Secure cloud application deployment

🎯 Learning Objectives (Level 2)

• Implement advanced IAM and access controls
• Secure data using encryption and key management
• Design secure cloud networks
• Monitor and detect security threats
• Apply governance and compliance frameworks
• Integrate security into DevOps workflows

✅ Learning Outcomes (Level 2)

• Implement RBAC, MFA, and identity federation
• Configure encryption and secrets management
• Design secure network architectures
• Use monitoring tools for threat detection
• Apply governance and compliance policies
• Integrate DevSecOps practices
• Deliver secure cloud deployment
• Ready for Cloud Security Engineer roles

🔴 LEVEL 3: Advanced (Enterprise Cloud Security & Architecture)

Duration: 15 Days (120 Hours)

📕 Modules & Topics

Module 1: Cloud Security Architecture (3 Days)

• Secure architecture design
• Zero Trust model
• Defense-in-depth

Module 2: Advanced Threat Protection (2 Days)

• Threat intelligence
• Advanced attack detection
• Incident response in cloud

Module 3: Multi-Cloud Security (2 Days)

• Security across AWS, Azure, GCP
• Cross-cloud identity management

Module 4: DevSecOps Advanced (2 Days)

• Secure CI/CD pipelines
• Container and Kubernetes security

Module 5: Data Governance & Compliance (2 Days)

• Regulatory compliance (GDPR, ISO)
• Data governance frameworks

Module 6: Security Operations & Automation (2 Days)

• Security automation (SOAR basics)
• Incident response automation

Module 7: Performance & Risk Optimization (1 Day)

• Risk assessment
• Cost vs security trade-offs

Module 8: Capstone Project (1 Day)

• Enterprise cloud security architecture

🎯 Learning Objectives (Level 3)

• Design enterprise-grade cloud security architectures
• Implement Zero Trust and advanced threat protection
• Manage multi-cloud security environments
• Integrate security into DevOps pipelines
• Automate security operations and incident response

✅ Learning Outcomes (Level 3)

• Architect secure and compliant cloud environments
• Detect and respond to advanced threats
• Implement multi-cloud security strategies
• Secure containerized and cloud-native applications
• Automate security monitoring and response
• Deliver enterprise-grade cloud security solution
• Ready for:
  • Cloud Security Architect
  • Security Consultant / DevSecOps Engineer

📊 Overall Program Summary

Network Security Corporate Training Program

🟢 LEVEL 1: Beginner (Network Security Fundamentals)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to Cybersecurity & Networking (1 Day)

• Cybersecurity fundamentals
• CIA Triad (Confidentiality, Integrity, Availability)
• Basics of networking (OSI & TCP/IP models)

Module 2: Network Protocols & Communication (2 Days)

• TCP/IP, HTTP, HTTPS, FTP, DNS
• Ports and protocols
• Packet flow basics

Module 3: Network Threats & Attacks (2 Days)

• Malware, phishing, ransomware
• DoS/DDoS attacks
• Man-in-the-middle (MITM)

Module 4: Network Security Devices (1.5 Days)

• Firewalls (types and basics)
• IDS/IPS basics
• VPN fundamentals

Module 5: Basic Network Defense (1.5 Days)

• Secure network configuration
• Password policies
• Basic access control

🎯 Learning Objectives (Level 1)

• Understand cybersecurity and networking fundamentals
• Learn common network protocols and communication
• Identify basic network threats and vulnerabilities
• Understand security devices and defense mechanisms

✅ Learning Outcomes (Level 1)

• Explain networking and security concepts
• Identify common cyber threats and attack types
• Configure basic firewall and VPN settings
• Apply basic security practices in networks
• Ready for entry-level network/security roles

🟡 LEVEL 2: Intermediate (Network Security Implementation)

Duration: 12 Days (96 Hours)

📙 Modules & Topics

Module 1: Network Security Architecture (2 Days)

• Secure network design
• Network segmentation (VLANs)
• DMZ architecture

Module 2: Firewalls & Security Controls (2 Days)

• Stateful vs stateless firewalls
• Next-Gen Firewalls (NGFW)
• Access control lists (ACLs)

Module 3: Intrusion Detection & Prevention (2 Days)

• IDS/IPS deep dive
• Signature vs anomaly detection
• Threat detection techniques

Module 4: Secure Communication (2 Days)

• SSL/TLS encryption
• VPN (IPSec, SSL VPN)
• Secure protocols

Module 5: Network Monitoring & Analysis (2 Days)

• Packet analysis (Wireshark basics)
• Log analysis
• Network traffic monitoring

Module 6: Vulnerability Assessment (1 Day)

• Scanning tools (Nmap basics)
• Vulnerability identification

Module 7: Hands-on Project (1 Day)

• Secure network setup and monitoring

🎯 Learning Objectives (Level 2)

• Design secure network architectures
• Implement firewalls and security controls
• Monitor and analyze network traffic
• Identify vulnerabilities and risks
• Secure communication channels

✅ Learning Outcomes (Level 2)

• Design segmented and secure networks
• Configure firewalls and IDS/IPS systems
• Analyze network traffic using tools
• Perform vulnerability assessments
• Implement secure communication protocols
• Deliver secure network implementation
• Ready for Network Security Engineer roles

🔴 LEVEL 3: Advanced (Enterprise Network Security & Defense)

Duration: 15 Days (120 Hours)

📕 Modules & Topics

Module 1: Advanced Network Security Architecture (3 Days)

• Zero Trust architecture
• Defense-in-depth strategy
• Enterprise network design

Module 2: Advanced Threat Detection & Response (3 Days)

• Threat intelligence
• Advanced persistent threats (APT)
• Behavioral analysis

Module 3: Network Security Automation (2 Days)

• Security automation tools
• SIEM integration
• Automated response

Module 4: Ethical Hacking for Network Security (2 Days)

• Penetration testing basics
• Exploitation techniques
• Security testing tools

Module 5: Cloud Network Security (2 Days)

• VPC/VNet security
• Cloud firewalls
• Hybrid network security

Module 6: Incident Response & SOC (2 Days)

• Incident response lifecycle
• SOC operations
• Threat mitigation

Module 7: Compliance & Governance (0.5 Day)

• Security policies
• Regulatory compliance

Module 8: Capstone Project (0.5 Day)

• Enterprise network security implementation

🎯 Learning Objectives (Level 3)

• Design enterprise-grade secure network architectures
• Detect and respond to advanced threats
• Implement automation and SIEM integration
• Perform penetration testing for network security
• Secure hybrid and cloud networks

✅ Learning Outcomes (Level 3)

• Architect Zero Trust network environments
• Detect and mitigate advanced cyber threats
• Implement automated security monitoring systems
• Perform network penetration testing
• Secure cloud and hybrid network infrastructures
• Deliver enterprise network security solution
• Ready for:
  • Network Security Architect
  • Cybersecurity Analyst / SOC Engineer

📊 Overall Program Summary

Cybersecurity – Ethical Hacking Corporate Training Program

🟢 LEVEL 1: Beginner (Ethical Hacking Fundamentals)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to Ethical Hacking (1 Day)

• Ethical hacking concepts
• Types of hackers (white, black, grey)
• Legal and ethical considerations

Module 2: Networking Basics for Hacking (2 Days)

• OSI & TCP/IP models
• IP addressing, DNS, ports
• Network communication basics

Module 3: Linux Fundamentals (2 Days)

• Linux commands
• File system and permissions
• Basic shell usage

Module 4: Footprinting & Reconnaissance (1.5 Days)

• Information gathering techniques
• OSINT tools
• WHOIS, DNS enumeration

Module 5: Scanning & Enumeration (1.5 Days)

• Network scanning (Nmap basics)
• Service enumeration
• Vulnerability scanning basics

🎯 Learning Objectives (Level 1)

• Understand ethical hacking concepts and legal boundaries
• Learn networking and Linux fundamentals
• Perform basic reconnaissance and scanning
• Identify potential vulnerabilities

✅ Learning Outcomes (Level 1)

• Perform information gathering using OSINT tools
• Scan networks and identify open ports/services
• Use basic Linux commands for security tasks
• Understand vulnerability assessment basics
• Ready for entry-level cybersecurity roles

🟡 LEVEL 2: Intermediate (Penetration Testing & Exploitation)

Duration: 12 Days (96 Hours)

📙 Modules & Topics

Module 1: Vulnerability Assessment (2 Days)

• Vulnerability scanning tools
• Risk assessment
• CVE and CVSS basics

Module 2: System Hacking (2 Days)

• Password cracking techniques
• Privilege escalation
• Malware basics

Module 3: Web Application Security (3 Days)

• OWASP Top 10
• SQL Injection
• Cross-Site Scripting (XSS)
• Authentication vulnerabilities

Module 4: Network Attacks (2 Days)

• MITM attacks
• Sniffing and spoofing
• Session hijacking

Module 5: Wireless Security (1 Day)

• Wi-Fi attacks
• WPA/WPA2 cracking basics

Module 6: Exploitation Tools (1 Day)

• Metasploit basics
• Exploit frameworks

Module 7: Hands-on Project (1 Day)

• Perform penetration testing on lab environment

🎯 Learning Objectives (Level 2)

• Identify and exploit system and network vulnerabilities
• Perform web application penetration testing
• Use security tools for exploitation
• Understand attack techniques and mitigation

✅ Learning Outcomes (Level 2)

• Conduct vulnerability assessments and scans
• Perform web application attacks (SQLi, XSS)
• Use Metasploit for exploitation
• Perform network-based attacks and analysis
• Deliver penetration testing report
• Ready for Ethical Hacker / Penetration Tester roles

🔴 LEVEL 3: Advanced (Red Teaming & Enterprise Security Testing)

Duration: 15 Days (120 Hours)

📕 Modules & Topics

Module 1: Advanced Exploitation Techniques (3 Days)

• Advanced privilege escalation
• Exploit development basics
• Post-exploitation techniques

Module 2: Red Teaming & Attack Simulation (3 Days)

• Red team vs blue team
• Attack lifecycle (kill chain)
• Social engineering

Module 3: Advanced Web & API Security (3 Days)

• Advanced web vulnerabilities
• API security testing
• Business logic flaws

Module 4: Cloud & Network Hacking (2 Days)

• Cloud security testing (AWS/Azure basics)
• Advanced network attacks

Module 5: Evasion & Persistence (2 Days)

• Bypassing security controls
• Maintaining access

Module 6: Reporting & Compliance (1 Day)

• Penetration testing reports
• Compliance standards

Module 7: Capstone Project (1 Day)

• Full red team engagement simulation

🎯 Learning Objectives (Level 3)

• Perform advanced penetration testing and exploitation
• Simulate real-world cyber attacks (red teaming)
• Test cloud and enterprise environments
• Bypass security controls and maintain persistence
• Create professional security reports

✅ Learning Outcomes (Level 3)

• Conduct advanced exploitation and post-exploitation
• Perform red team operations and attack simulations
• Test APIs and cloud environments
• Evade detection and maintain access
• Deliver enterprise-grade penetration testing reports
• Ready for:
  • Senior Ethical Hacker
  • Red Team Specialist
  • Security Consultant

📊 Overall Program Summary

Cybersecurity – SOC & Incident Response Corporate Training Program

🟢 LEVEL 1: Beginner (SOC Fundamentals & Security Monitoring)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to SOC & Cybersecurity (1 Day)

• SOC roles and responsibilities
• Security operations overview
• Cybersecurity fundamentals

Module 2: Networking & Security Basics (2 Days)

• OSI & TCP/IP models
• Network protocols
• Common network threats

Module 3: Security Monitoring Basics (2 Days)

• Logs and event management
• Introduction to SIEM
• Log sources (firewalls, servers, applications)

Module 4: Threat Detection Basics (1.5 Days)

• Indicators of Compromise (IoCs)
• Alerts and incidents
• Basic threat detection techniques

Module 5: Incident Response Introduction (1.5 Days)

• Incident response lifecycle
• Roles and responsibilities
• Basic incident handling

🎯 Learning Objectives (Level 1)

• Understand SOC operations and roles
• Learn basics of networking and security
• Understand logs, monitoring, and SIEM
• Learn incident response fundamentals
• Identify basic threats and incidents

✅ Learning Outcomes (Level 1)

• Monitor logs and identify suspicious activities
• Understand SOC workflows and processes
• Recognize common threats and IoCs
• Perform basic incident handling
• Ready for entry-level SOC Analyst (L1) roles

🟡 LEVEL 2: Intermediate (Threat Detection & Incident Handling)

Duration: 12 Days (96 Hours)

📙 Modules & Topics

Module 1: SIEM Tools & Log Analysis (3 Days)

• SIEM tools (Splunk / ELK basics)
• Log parsing and correlation
• Alert management

Module 2: Threat Detection & Analysis (2 Days)

• Threat intelligence
• Attack patterns (MITRE ATT&CK framework)
• Behavioral analysis

Module 3: Incident Response Deep Dive (2 Days)

• Incident classification and prioritization
• Containment, eradication, recovery
• Incident documentation

Module 4: Endpoint & Network Security Monitoring (2 Days)

• Endpoint Detection & Response (EDR)
• Network traffic analysis
• Malware detection basics

Module 5: Digital Forensics Basics (1.5 Days)

• Evidence collection
• Disk and memory analysis basics

Module 6: Automation & SOAR Basics (0.5 Day)

• Security orchestration
• Automated response basics

Module 7: Hands-on Project (1 Day)

• Incident detection and response simulation

🎯 Learning Objectives (Level 2)

• Analyze logs and detect security threats
• Use SIEM tools for monitoring and alerting
• Perform incident response and investigation
• Apply threat intelligence frameworks
• Understand digital forensics basics

✅ Learning Outcomes (Level 2)

• Analyze and correlate logs using SIEM tools
• Detect and investigate security incidents
• Perform incident response lifecycle steps
• Use threat intelligence for analysis
• Conduct basic forensic investigations
• Deliver incident response report
• Ready for SOC Analyst (L2) / Incident Responder roles

🔴 LEVEL 3: Advanced (SOC Operations & Threat Hunting)

Duration: 15 Days (120 Hours)

📕 Modules & Topics

Module 1: Advanced SIEM & Threat Hunting (3 Days)

• Advanced SIEM use cases
• Threat hunting techniques
• Custom detection rules

Module 2: Advanced Incident Response (3 Days)

• Complex incident handling
• Advanced malware analysis
• Root cause analysis

Module 3: Threat Intelligence & Analytics (2 Days)

• Threat intelligence platforms
• Indicators and TTPs
• Intelligence-driven defense

Module 4: SOAR & Automation (2 Days)

• SOAR platforms
• Playbooks and automation
• Incident response automation

Module 5: Cloud & Hybrid SOC (2 Days)

• Cloud security monitoring
• Hybrid environment security

Module 6: Compliance & Reporting (1 Day)

• Security reporting
• Compliance frameworks

Module 7: Red Team vs Blue Team Simulation (1 Day)

• Attack vs defense exercises
• Blue team strategies

Module 8: Capstone Project (1 Day)

• Enterprise SOC implementation & incident response

🎯 Learning Objectives (Level 3)

• Perform advanced threat detection and hunting
• Manage complex incident response scenarios
• Implement automation using SOAR tools
• Analyze threat intelligence for proactive defense
• Design enterprise SOC operations

✅ Learning Outcomes (Level 3)

• Conduct proactive threat hunting
• Handle advanced cyber incidents
• Build SIEM detection rules and playbooks
• Automate incident response workflows
• Monitor hybrid and cloud environments
• Deliver enterprise SOC operations
• Ready for:
  • SOC Analyst (L3)
  • Threat Hunter
  • Incident Response Lead

📊 Overall Program Summary

Advanced Excel + Business Analytics Corporate Training Program

🟢 LEVEL 1: Beginner (Excel Fundamentals + Basic Analytics)

Duration: 6 Days (48 Hours)

📘 Modules & Topics

Module 1: Excel Basics & Interface (1 Day)

• Excel interface and navigation
• Workbook and worksheet management
• Data entry and formatting

Module 2: Basic Formulas & Functions (2 Days)

• Arithmetic formulas
• Logical functions (IF, AND, OR)
• Text functions (LEFT, RIGHT, MID)
• Date functions

Module 3: Data Handling (1 Day)

• Sorting and filtering
• Data validation
• Removing duplicates

Module 4: Basic Data Analysis (1 Day)

• Conditional formatting
• Basic charts (bar, line, pie)
• Introduction to Pivot Tables

Module 5: Reporting Basics (1 Day)

• Creating simple reports
• Formatting dashboards

🎯 Learning Objectives (Level 1)

• Understand Excel interface and basic operations
• Learn formulas and functions for data analysis
• Perform basic data cleaning and reporting
• Create simple charts and pivot tables

✅ Learning Outcomes (Level 1)

• Use formulas and functions effectively
• Clean and organize datasets
• Create pivot tables and basic charts
• Build simple reports for business use
• Ready for entry-level data/operations roles

🟡 LEVEL 2: Intermediate (Advanced Excel & Business Analysis)

Duration: 10 Days (80 Hours)

📙 Modules & Topics

Module 1: Advanced Formulas & Functions (2 Days)

• Lookup functions (VLOOKUP, HLOOKUP, XLOOKUP)
• INDEX-MATCH
• Nested formulas

Module 2: Pivot Tables & Pivot Charts (2 Days)

• Advanced pivot tables
• Slicers and timelines
• Pivot charts

Module 3: Data Analysis Tools (2 Days)

• What-if analysis
• Goal Seek and Scenario Manager
• Data tables

Module 4: Data Cleaning & Transformation (1.5 Days)

• Text to columns
• Flash Fill
• Data cleaning techniques

Module 5: Dashboard Creation (1.5 Days)

• KPI dashboards
• Interactive dashboards using slicers
• Design best practices

Module 6: Introduction to Power Tools (1 Day)

• Power Query basics
• Power Pivot basics

🎯 Learning Objectives (Level 2)

• Perform advanced data analysis using Excel
• Build dynamic dashboards
• Use pivot tables for business insights
• Apply data analysis tools for decision-making
• Introduce data modeling concepts

✅ Learning Outcomes (Level 2)

• Use advanced formulas like INDEX-MATCH and XLOOKUP
• Build interactive dashboards with slicers
• Perform scenario analysis and forecasting
• Clean and transform large datasets
• Use Power Query for data preparation
• Deliver business insights using Excel
• Ready for Business Analyst / MIS roles

🔴 LEVEL 3: Advanced (Business Analytics & Automation)

Duration: 12 Days (96 Hours)

📕 Modules & Topics

Module 1: Advanced Power Tools (3 Days)

• Power Query advanced
• Power Pivot (data modeling)
• Data relationships

Module 2: Advanced Analytics (2 Days)

• Statistical analysis basics
• Trend analysis
• Forecasting

Module 3: Excel Automation (2 Days)

• Macros and VBA basics
• Recording and editing macros
• Automation use cases

Module 4: Advanced Dashboarding (2 Days)

• Dynamic dashboards
• Advanced visualization techniques
• UX/UI for dashboards

Module 5: Business Analytics Concepts (2 Days)

• KPI design
• Business metrics (Sales, Finance, Operations)
• Data-driven decision-making

Module 6: Integration & Reporting (0.5 Day)

• Excel integration with Power BI
• Data connectivity

Module 7: Capstone Project (0.5 Day)

• End-to-end business analytics solution

🎯 Learning Objectives (Level 3)

• Build advanced data models and analytics solutions
• Automate tasks using macros and VBA
• Perform statistical and predictive analysis
• Design enterprise-level dashboards
• Apply business analytics for decision-making

✅ Learning Outcomes (Level 3)

• Build complex data models using Power Pivot
• Automate workflows using VBA
• Perform forecasting and trend analysis
• Design professional dashboards for business
• Analyze KPIs and business metrics
• Deliver complete analytics solution
• Ready for:
  • Business Analyst
  • Data Analyst
  • MIS / Reporting Lead

📊 Overall Program Summary

AI / ML for Business Corporate Training Program

🟢 LEVEL 1: Beginner (AI/ML Foundations for Business)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to AI & ML (1 Day)

• AI vs ML vs Deep Learning
• Business use cases (finance, HR, marketing, operations)
• AI adoption in enterprises

Module 2: Data Fundamentals (2 Days)

• Types of data (structured/unstructured)
• Data collection and preprocessing
• Data quality and cleaning

Module 3: Statistics for Business (2 Days)

• Descriptive statistics
• Probability basics
• Correlation and trends

Module 4: Introduction to Machine Learning (2 Days)

• Supervised vs unsupervised learning
• Basic algorithms (regression, classification, clustering)
• Model lifecycle

Module 5: AI Tools & Platforms (1 Day)

• Overview of tools (Python basics, AutoML tools)
• Cloud AI services (AWS/Azure/GCP basics)

🎯 Learning Objectives (Level 1)

• Understand AI/ML concepts and business applications
• Learn data fundamentals and statistical basics
• Understand machine learning workflows
• Get familiar with AI tools and platforms

✅ Learning Outcomes (Level 1)

• Identify AI/ML use cases in business scenarios
• Understand data preparation and analysis basics
• Explain machine learning concepts and models
• Use basic AI tools for simple tasks
• Ready for business analyst / AI-aware roles

🟡 LEVEL 2: Intermediate (Applied Machine Learning & Analytics)

Duration: 15 Days (120 Hours)

📙 Modules & Topics

Module 1: Data Preparation & Feature Engineering (3 Days)

• Data cleaning and transformation
• Feature selection and engineering
• Handling missing data

Module 2: Machine Learning Algorithms (4 Days)

• Regression models
• Classification models
• Clustering techniques

Module 3: Model Evaluation & Optimization (2 Days)

• Accuracy, precision, recall
• Cross-validation
• Hyperparameter tuning

Module 4: Business Use Cases (3 Days)

• Sales forecasting
• Customer segmentation
• Fraud detection
• Recommendation systems

Module 5: Tools & Implementation (2 Days)

• Python (Pandas, Scikit-learn basics)
• AutoML tools
• Visualization tools

Module 6: AI Ethics & Governance (0.5 Day)

• Bias and fairness
• Ethical AI practices

Module 7: Hands-on Project (0.5 Day)

• Build ML model for business use case

🎯 Learning Objectives (Level 2)

• Build and evaluate machine learning models
• Apply ML techniques to business problems
• Use tools for data analysis and modeling
• Understand ethical implications of AI
• Translate business problems into ML solutions

✅ Learning Outcomes (Level 2)

• Prepare datasets and engineer features
• Build regression, classification, and clustering models
• Evaluate and optimize model performance
• Apply ML to real business scenarios
• Use Python and ML tools effectively
• Deliver working ML solution
• Ready for Business Analyst / Junior Data Scientist roles

🔴 LEVEL 3: Advanced (AI Strategy & Enterprise Implementation)

Duration: 20 Days (160 Hours)

📕 Modules & Topics

Module 1: Advanced Machine Learning (4 Days)

• Ensemble methods
• Time series forecasting
• Advanced optimization techniques

Module 2: AI for Business Strategy (3 Days)

• AI-driven decision making
• ROI of AI projects
• AI transformation roadmap

Module 3: Deep Learning Basics (3 Days)

• Neural networks
• NLP and computer vision basics
• Business use cases

Module 4: MLOps & Deployment (3 Days)

• Model deployment
• CI/CD for ML
• Monitoring models

Module 5: AI in Cloud (2 Days)

• AI services (AWS, Azure, GCP)
• Scalable ML pipelines

Module 6: Data Governance & Security (2 Days)

• Data privacy
• Compliance (GDPR basics)

Module 7: AI Ethics & Responsible AI (1 Day)

• Bias mitigation
• Explainability

Module 8: Capstone Project (2 Days)

• End-to-end AI business solution

🎯 Learning Objectives (Level 3)

• Design AI-driven business strategies
• Implement advanced ML and deep learning models
• Deploy and manage ML systems
• Integrate AI into enterprise workflows
• Ensure ethical and responsible AI usage

✅ Learning Outcomes (Level 3)

• Build advanced ML and forecasting models
• Design AI strategies aligned with business goals
• Deploy ML models into production
• Implement MLOps pipelines
• Apply governance, security, and ethical AI practices
• Deliver enterprise AI solution
• Ready for:
  • Data Scientist
  • AI Consultant
  • Analytics Lead

📊 Overall Program Summary

Power BI / Tableau Corporate Training Program

🟢 LEVEL 1: Beginner (BI Fundamentals & Visualization Basics)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to BI & Data Analytics (1 Day)

• BI concepts and lifecycle
• Data types and sources
• Role of Power BI & Tableau

Module 2: Tool Overview (Power BI / Tableau) (1 Day)

• Interface and navigation
• Data connections
• Import vs Direct Query

Module 3: Data Preparation (2 Days)

• Data cleaning and transformation
• Power Query (Power BI) / Data Prep (Tableau)
• Handling missing and inconsistent data

Module 4: Basic Data Modeling (1.5 Days)

• Tables and relationships
• Data structure design
• Basic calculations

Module 5: Data Visualization Basics (2 Days)

• Charts (bar, line, pie, tables)
• Formatting and design principles
• Dashboard basics

Module 6: Reports & Sharing (0.5 Day)

• Publishing reports
• Sharing dashboards

🎯 Learning Objectives (Level 1)

• Understand BI concepts and tools
• Learn data preparation and modeling basics
• Create basic visualizations and dashboards
• Understand reporting and sharing

✅ Learning Outcomes (Level 1)

• Connect to data sources and clean data
• Create basic data models
• Build dashboards using Power BI/Tableau
• Apply visualization best practices
• Share reports with stakeholders
• Ready for entry-level BI Analyst roles

🟡 LEVEL 2: Intermediate (Data Modeling & Analytics)

Duration: 12 Days (96 Hours)

📙 Modules & Topics

Module 1: Advanced Data Preparation (2 Days)

• Data transformation techniques
• Data blending and joins
• ETL concepts

Module 2: Advanced Data Modeling (2 Days)

• Star schema and data warehousing basics
• Relationships and normalization
• Performance optimization

Module 3: Calculations & Expressions (3 Days)

• DAX (Power BI) / Calculated Fields (Tableau)
• Measures and KPIs
• Time intelligence

Module 4: Advanced Visualization (2 Days)

• Interactive dashboards
• Filters, slicers, parameters
• Drill-down and drill-through

Module 5: Data Storytelling (1 Day)

• Dashboard design principles
• Business storytelling with data

Module 6: Sharing & Collaboration (1 Day)

• Power BI Service / Tableau Server
• Workspaces and permissions

Module 7: Hands-on Project (1 Day)

• Business dashboard development

🎯 Learning Objectives (Level 2)

• Build advanced data models and analytics
• Create dynamic and interactive dashboards
• Use calculations for business insights
• Apply storytelling techniques
• Collaborate and share reports

✅ Learning Outcomes (Level 2)

• Design star schema data models
• Write DAX/calculated fields for analysis
• Build interactive dashboards with filters and drilldowns
• Create business-focused dashboards
• Publish and manage reports securely
• Deliver complete BI dashboard solution
• Ready for BI Developer / Data Analyst roles

🔴 LEVEL 3: Advanced (Enterprise BI & Data Strategy)

Duration: 15 Days (120 Hours)

📕 Modules & Topics

Module 1: Enterprise Data Modeling (3 Days)

• Data warehouse concepts
• Large-scale data models
• Data governance

Module 2: Advanced Analytics (3 Days)

• Predictive analytics basics
• AI integration (Power BI AI / Tableau AI)
• Statistical analysis basics

Module 3: Performance Optimization (2 Days)

• Query optimization
• Model performance tuning

Module 4: Advanced Visualization & UX (2 Days)

• Advanced dashboard design
• UX/UI best practices

Module 5: Integration with Data Platforms (2 Days)

• Integration with Azure/AWS/GCP
• Live data connections

Module 6: Security & Governance (1 Day)

• Row-level security (RLS)
• Data privacy and compliance

Module 7: Deployment & Lifecycle Management (1 Day)

• Version control
• CI/CD for BI

Module 8: Capstone Project (1 Day)

• Enterprise BI solution

🎯 Learning Objectives (Level 3)

• Design enterprise BI architectures
• Implement advanced analytics and AI
• Optimize performance and scalability
• Apply governance and security
• Integrate BI with enterprise data systems

✅ Learning Outcomes (Level 3)

• Build enterprise-grade BI dashboards and models
• Implement predictive and advanced analytics
• Optimize performance of large datasets
• Apply security and governance policies
• Integrate BI with cloud data platforms
• Deliver enterprise BI solution
• Ready for:
  • Senior BI Developer
  • Data Analyst Lead / BI Architect

📊 Overall Program Summary

Big Data (Hadoop + Spark) Corporate Training Program

🟢 LEVEL 1: Beginner (Big Data Foundations)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to Big Data (1 Day)

• What is Big Data (5Vs)
• Traditional vs Big Data systems
• Use cases (banking, e-commerce, telecom)

Module 2: Hadoop Ecosystem Overview (1 Day)

• Hadoop architecture
• HDFS (storage layer)
• YARN (resource management)

Module 3: HDFS Deep Dive (2 Days)

• File system structure
• Blocks and replication
• Data storage and retrieval

Module 4: MapReduce Basics (2 Days)

• MapReduce programming model
• Map and Reduce phases
• Simple data processing jobs

Module 5: Introduction to Apache Spark (2 Days)

• Spark architecture
• RDD basics
• Spark vs Hadoop

🎯 Learning Objectives (Level 1)

• Understand Big Data concepts and ecosystem
• Learn Hadoop architecture and HDFS
• Understand MapReduce programming basics
• Learn Spark fundamentals and distributed processing

✅ Learning Outcomes (Level 1)

• Explain Big Data ecosystem components
• Store and manage data using HDFS
• Understand MapReduce workflow
• Perform basic data processing using Spark
• Ready for entry-level Big Data / Data Engineering roles

🟡 LEVEL 2: Intermediate (Big Data Processing & Engineering)

Duration: 15 Days (120 Hours)

📙 Modules & Topics

Module 1: Hadoop Advanced (3 Days)

• HDFS administration
• YARN resource management
• Hadoop cluster setup basics

Module 2: Apache Spark Core (3 Days)

• RDD transformations and actions
• DataFrames and Datasets
• Spark SQL

Module 3: Data Processing & ETL (3 Days)

• Batch processing
• Data pipelines
• Data ingestion tools

Module 4: Spark Advanced (2 Days)

• Performance optimization
• Caching and partitioning
• Spark tuning

Module 5: Streaming & Real-Time Processing (2 Days)

• Spark Streaming
• Kafka basics
• Real-time data processing

Module 6: Big Data Tools Ecosystem (1 Day)

• Hive (SQL on Hadoop)
• Pig overview
• HBase basics

Module 7: Hands-on Project (1 Day)

• Build ETL pipeline using Spark

🎯 Learning Objectives (Level 2)

• Process large datasets using Spark and Hadoop
• Build data pipelines and ETL workflows
• Optimize performance for big data systems
• Implement real-time data processing
• Use big data ecosystem tools

✅ Learning Outcomes (Level 2)

• Process data using Spark SQL and DataFrames
• Build ETL pipelines for structured/unstructured data
• Optimize Spark jobs for performance
• Implement streaming pipelines using Spark/Kafka
• Query data using Hive
• Deliver working big data pipeline solution
• Ready for Data Engineer / Big Data Developer roles

🔴 LEVEL 3: Advanced (Big Data Architecture & Enterprise Solutions)

Duration: 20 Days (160 Hours)

📕 Modules & Topics

Module 1: Big Data Architecture Design (4 Days)

• Data lake architecture
• Lambda and Kappa architecture
• Distributed system design

Module 2: Advanced Spark & Optimization (4 Days)

• Advanced Spark internals
• DAG execution
• Memory management
• Performance tuning

Module 3: Advanced Streaming & Real-Time Systems (3 Days)

• Kafka deep dive
• Stream processing design
• Event-driven architecture

Module 4: Data Engineering & Workflow Orchestration (3 Days)

• Workflow tools (Airflow basics)
• Data orchestration
• Scheduling and automation

Module 5: Cloud Big Data Platforms (2 Days)

• AWS EMR, Azure HDInsight, GCP Dataproc
• Cloud-based data pipelines

Module 6: Data Governance & Security (2 Days)

• Data quality
• Security and access control
• Compliance

Module 7: Performance & Scalability (1 Day)

• Cluster tuning
• Resource optimization

Module 8: Capstone Project (1 Day)

• Enterprise big data solution

🎯 Learning Objectives (Level 3)

• Design scalable big data architectures
• Optimize distributed processing systems
• Build real-time streaming solutions
• Implement data governance and security
• Integrate big data systems with cloud platforms

✅ Learning Outcomes (Level 3)

• Architect data lakes and distributed systems
• Optimize Spark performance and scalability
• Build real-time data pipelines using Kafka and Spark
• Implement orchestration workflows (Airflow)
• Apply data governance and security policies
• Deploy big data solutions on cloud platforms
• Deliver enterprise-grade big data system
• Ready for:
  • Senior Data Engineer
  • Big Data Architect

📊 Overall Program Summary

CI/CD Pipelines (Jenkins + GitHub Actions) Corporate Training Program

🟢 LEVEL 1: Beginner (CI/CD Fundamentals)

Duration: 6 Days (48 Hours)

📘 Modules & Topics

Module 1: DevOps & CI/CD Fundamentals (1 Day)

• DevOps lifecycle
• CI vs CD vs Continuous Deployment
• Pipeline concepts and benefits

Module 2: Version Control with Git (1 Day)

• Git basics (clone, commit, push, pull)
• Branching and merging
• Git workflows

Module 3: Jenkins Introduction (2 Days)

• Jenkins architecture
• Installation and setup
• Jobs and builds
• Integration with Git

Module 4: GitHub Actions Basics (1.5 Days)

• GitHub workflows
• YAML basics
• Running jobs and actions

Module 5: Build & Test Automation (0.5 Day)

• Build tools (Maven basics)
• Automated testing basics

🎯 Learning Objectives (Level 1)

• Understand CI/CD concepts and DevOps lifecycle
• Learn version control using Git
• Set up basic CI pipelines using Jenkins and GitHub Actions
• Understand build and test automation

✅ Learning Outcomes (Level 1)

• Use Git for source code management
• Create and run basic Jenkins jobs
• Build simple workflows in GitHub Actions
• Automate build and test processes
• Understand CI/CD pipeline flow
• Ready for entry-level DevOps roles

🟡 LEVEL 2: Intermediate (CI/CD Implementation & Automation)

Duration: 10 Days (80 Hours)

📙 Modules & Topics

Module 1: Jenkins Pipelines (3 Days)

• Declarative vs Scripted pipelines
• Jenkinsfile
• Pipeline stages and steps

Module 2: GitHub Actions Advanced (2 Days)

• Workflow triggers and events
• Matrix builds
• Reusable workflows

Module 3: Build & Artifact Management (1 Day)

• Artifact repositories
• Versioning and packaging

Module 4: Deployment Strategies (2 Days)

• Continuous Delivery pipelines
• Deployment to staging/production
• Blue-Green deployment basics

Module 5: Integration with Containers (1 Day)

• CI/CD with Docker
• Image build and push

Module 6: Monitoring & Notifications (0.5 Day)

• Alerts and notifications
• Logs and debugging

Module 7: Security Basics (0.5 Day)

• Secrets management
• Access control

🎯 Learning Objectives (Level 2)

• Design and implement CI/CD pipelines
• Automate build, test, and deployment workflows
• Integrate pipelines with containerization
• Implement deployment strategies
• Monitor and secure pipelines

✅ Learning Outcomes (Level 2)

• Build end-to-end CI/CD pipelines using Jenkins and GitHub Actions
• Write Jenkinsfiles and workflow YAMLs
• Automate deployments to environments
• Integrate Docker into CI/CD pipelines
• Manage secrets and pipeline security
• Monitor pipeline performance and failures
• Deliver working CI/CD pipeline solution
• Ready for DevOps Engineer roles

🔴 LEVEL 3: Advanced (Enterprise CI/CD & DevOps Architecture)

Duration: 12 Days (96 Hours)

📕 Modules & Topics

Module 1: Advanced Pipeline Design (2 Days)

• Multi-stage pipelines
• Pipeline as Code best practices
• Reusable components

Module 2: Advanced Deployment Strategies (2 Days)

• Blue-Green and Canary deployments
• Rolling updates
• Zero-downtime deployment

Module 3: CI/CD for Microservices & Kubernetes (2 Days)

• CI/CD for microservices
• Kubernetes deployments
• GitOps basics

Module 4: Security & DevSecOps (2 Days)

• Secure pipelines
• Vulnerability scanning
• Compliance and auditing

Module 5: Scalability & Performance (1 Day)

• Pipeline optimization
• Parallel builds
• Resource management

Module 6: Integration with Cloud (1 Day)

• CI/CD with AWS/Azure/GCP
• Cloud-native pipelines

Module 7: Observability & Troubleshooting (1 Day)

• Logs, metrics, tracing
• Debugging pipelines

Module 8: Capstone Project (1 Day)

• Enterprise CI/CD pipeline implementation

🎯 Learning Objectives (Level 3)

• Design enterprise-grade CI/CD architectures
• Implement advanced deployment strategies
• Integrate CI/CD with Kubernetes and cloud platforms
• Apply DevSecOps practices
• Optimize and scale pipelines

✅ Learning Outcomes (Level 3)

• Architect scalable CI/CD pipelines
• Implement advanced deployment techniques
• Automate microservices deployments
• Secure pipelines with DevSecOps practices
• Optimize pipeline performance
• Integrate CI/CD with cloud environments
• Deliver enterprise-grade CI/CD solution
• Ready for:
  • Senior DevOps Engineer
  • DevOps Architect

📊 Overall Program Summary

Docker & Kubernetes Corporate Training Program

🟢 LEVEL 1: Beginner (Docker & Containerization Foundation)

Duration: 8 Days (64 Hours)

📘 Modules & Topics

Module 1: Introduction to Containers (1 Day)

• Virtualization vs containerization
• Container architecture and benefits
• Use cases in enterprises

Module 2: Docker Fundamentals (2 Days)

• Docker installation and setup
• Images, containers, registries
• Docker CLI commands

Module 3: Docker Images & Dockerfile (2 Days)

• Building custom images
• Dockerfile instructions
• Image optimization

Module 4: Container Lifecycle & Networking (1.5 Days)

• Running and managing containers
• Networking basics (bridge, host)
• Port mapping

Module 5: Volumes & Data Persistence (1 Day)

• Docker volumes and bind mounts
• Data persistence strategies

Module 6: Docker Compose (0.5 Day)

• Multi-container applications
• YAML configuration

🎯 Learning Objectives (Level 1)

• Understand containerization concepts and benefits
• Learn Docker architecture and components
• Build and manage containerized applications
• Understand networking and storage in containers

✅ Learning Outcomes (Level 1)

• Build and run Docker containers
• Create Docker images using Dockerfile
• Deploy multi-container applications using Docker Compose
• Manage container networking and storage
• Ready for entry-level containerization roles

🟡 LEVEL 2: Intermediate (Kubernetes Implementation & Orchestration)

Duration: 15 Days (120 Hours)

📙 Modules & Topics

Module 1: Kubernetes Fundamentals (2 Days)

• Kubernetes architecture
• Master and worker nodes
• Cluster setup

Module 2: Core Kubernetes Objects (3 Days)

• Pods, ReplicaSets, Deployments
• Services (ClusterIP, NodePort, LoadBalancer)
• Labels and selectors

Module 3: Configuration & Storage (2 Days)

• ConfigMaps and Secrets
• Persistent Volumes and Claims
• Storage classes

Module 4: Networking & Ingress (2 Days)

• Cluster networking
• Ingress controllers
• Service discovery

Module 5: Scaling & Scheduling (2 Days)

• Horizontal Pod Autoscaler
• Resource management
• Node scheduling

Module 6: Security & RBAC (2 Days)

• Role-based access control
• Network policies
• Pod security

Module 7: Monitoring & Logging (1 Day)

• Metrics and logs
• Prometheus basics

Module 8: Hands-on Project (1 Day)

• Deploy microservices application

🎯 Learning Objectives (Level 2)

• Understand Kubernetes architecture and components
• Deploy and manage containerized workloads
• Configure networking, storage, and security
• Scale applications and manage resources
• Monitor and troubleshoot clusters

✅ Learning Outcomes (Level 2)

• Deploy applications using Kubernetes objects
• Expose services using different service types
• Manage configuration and storage
• Implement autoscaling and resource optimization
• Secure clusters using RBAC and policies
• Monitor performance and logs
• Deliver working Kubernetes deployment
• Ready for Kubernetes Administrator / Developer roles

🔴 LEVEL 3: Advanced (Cloud-Native & Enterprise Kubernetes)

Duration: 20 Days (160 Hours)

📕 Modules & Topics

Module 1: Advanced Kubernetes Concepts (4 Days)

• StatefulSets and DaemonSets
• Helm (package manager)
• Operators and CRDs

Module 2: Microservices & Cloud-Native Design (3 Days)

• Microservices architecture
• API Gateway
• Service communication

Module 3: Service Mesh (2 Days)

• Istio basics
• Traffic management
• Observability

Module 4: CI/CD for Kubernetes (3 Days)

• CI/CD pipelines
• GitOps (ArgoCD basics)
• Automated deployments

Module 5: Security & DevSecOps (2 Days)

• Container security
• Image scanning
• Secrets management

Module 6: Multi-Cluster & Cloud Integration (2 Days)

• Multi-cluster management
• EKS, AKS, GKE overview
• Hybrid deployments

Module 7: Observability & Optimization (2 Days)

• Prometheus & Grafana advanced
• Logging (ELK stack)
• Performance tuning

Module 8: Capstone Project (2 Days)

• Enterprise-grade Kubernetes deployment

🎯 Learning Objectives (Level 3)

• Design and manage enterprise Kubernetes environments
• Implement cloud-native microservices architectures
• Automate deployments using CI/CD and GitOps
• Apply security and DevSecOps practices
• Optimize performance and scalability

✅ Learning Outcomes (Level 3)

• Deploy and manage complex Kubernetes workloads
• Implement Helm charts and operators
• Design scalable microservices systems
• Implement service mesh and traffic control
• Build CI/CD pipelines for containerized applications
• Secure and monitor Kubernetes environments
• Deliver enterprise-grade cloud-native solution
• Ready for:
  • Kubernetes Architect
  • Senior DevOps Engineer

📊 Overall Program Summary

Infrastructure as Code (Terraform) Corporate Training Program

🟢 LEVEL 1: Beginner (Terraform Fundamentals)

Duration: 6 Days (48 Hours)

📘 Modules & Topics

Module 1: Introduction to IaC & Terraform (1 Day)

• Infrastructure as Code concepts
• Benefits vs manual provisioning
• Terraform architecture and workflow

Module 2: Terraform Basics (2 Days)

• Installation and setup
• Terraform CLI commands (init, plan, apply, destroy)
• Providers and resources

Module 3: Terraform Configuration Language (HCL) (1.5 Days)

• Syntax and structure
• Variables and outputs
• Expressions and functions

Module 4: State Management Basics (1 Day)

• Terraform state file
• State lifecycle
• Local vs remote state

Module 5: Basic Cloud Provisioning (0.5 Day)

• Creating simple resources (VM, storage, network)

🎯 Learning Objectives (Level 1)

• Understand Infrastructure as Code principles
• Learn Terraform architecture and workflow
• Write basic Terraform configurations
• Understand state management fundamentals
• Provision simple cloud infrastructure

✅ Learning Outcomes (Level 1)

• Write and execute Terraform scripts
• Provision basic cloud resources
• Use Terraform CLI effectively
• Manage basic state files
• Understand infrastructure automation workflows
• Ready for entry-level DevOps / Cloud roles

🟡 LEVEL 2: Intermediate (Terraform Implementation & Automation)

Duration: 10 Days (80 Hours)

📙 Modules & Topics

Module 1: Advanced Terraform Configuration (2 Days)

• Modules and reusable code
• Input/output variables
• Code organization

Module 2: State Management Advanced (2 Days)

• Remote state (S3, Azure Storage, etc.)
• State locking and collaboration
• Backend configuration

Module 3: Provisioning & Resource Management (2 Days)

• Complex infrastructure provisioning
• Dependency management
• Dynamic blocks

Module 4: Multi-Environment Setup (1.5 Days)

• Dev, staging, production environments
• Workspaces
• Environment-specific configurations

Module 5: Integration with CI/CD (1.5 Days)

• Terraform in pipelines (Jenkins/GitHub Actions)
• Automation workflows

Module 6: Security & Secrets Management (0.5 Day)

• Sensitive variables
• Secrets handling

Module 7: Hands-on Project (0.5 Day)

• Deploy multi-tier cloud infrastructure

🎯 Learning Objectives (Level 2)

• Build reusable and modular Terraform code
• Manage remote state and collaboration
• Provision complex infrastructure
• Integrate Terraform into CI/CD pipelines
• Manage multi-environment deployments

✅ Learning Outcomes (Level 2)

• Create reusable Terraform modules
• Manage remote state with locking
• Deploy multi-tier architectures
• Automate infrastructure using CI/CD
• Handle environment configurations
• Deliver production-ready infrastructure
• Ready for DevOps Engineer / Cloud Engineer roles

🔴 LEVEL 3: Advanced (Enterprise IaC & Multi-Cloud Architecture)

Duration: 12 Days (96 Hours)

📕 Modules & Topics

Module 1: Advanced Terraform Patterns (2 Days)

• Advanced modules
• Code reusability and design patterns
• Infrastructure design best practices

Module 2: Multi-Cloud Infrastructure (2 Days)

• AWS, Azure, GCP provisioning
• Cross-cloud architecture
• Hybrid infrastructure

Module 3: Terraform Enterprise & Governance (2 Days)

• Terraform Cloud/Enterprise
• Policy as Code (Sentinel basics)
• Governance and compliance

Module 4: Security & DevSecOps (2 Days)

• Secure infrastructure provisioning
• Compliance checks
• Vulnerability scanning

Module 5: Performance & Scalability (1 Day)

• Large-scale infrastructure management
• Optimization techniques

Module 6: Integration with Kubernetes & DevOps (1 Day)

• Terraform with Kubernetes
• DevOps ecosystem integration

Module 7: Testing & Validation (1 Day)

• Terraform testing tools
• Validation and linting

Module 8: Capstone Project (1 Day)

• Enterprise multi-cloud infrastructure deployment

🎯 Learning Objectives (Level 3)

• Design enterprise-grade infrastructure using Terraform
• Implement multi-cloud and hybrid architectures
• Apply governance and policy controls
• Integrate Terraform with DevOps and Kubernetes
• Optimize infrastructure performance and security

✅ Learning Outcomes (Level 3)

• Architect scalable and reusable Terraform solutions
• Implement multi-cloud infrastructure deployments
• Apply policy-as-code and governance frameworks
• Secure infrastructure with DevSecOps practices
• Integrate Terraform with CI/CD and Kubernetes
• Deliver enterprise-grade IaC solution
• Ready for:
  • Senior DevOps Engineer
  • Cloud Architect / Platform Engineer

📊 Overall Program Summary

Microsoft Dynamics 365 Corporate Training Program

🟢 LEVEL 1: Beginner (Dynamics 365 Fundamentals)

Duration: 10 Days (80 Hours)

🎯 Learning Objectives (Level 1)

• Understand Dynamics 365 modules and architecture
• Learn core business processes (Finance, SCM, CRM)
• Navigate Dynamics 365 applications
• Understand Power Platform basics
• Learn basic security and data concepts

✅ Learning Outcomes (Level 1)

• Navigate Dynamics 365 interface and modules
• Perform basic financial and operational transactions
• Manage customer and sales data
• Create basic dashboards and workflows
• Apply role-based access control
• Ready for entry-level Dynamics 365 roles

📘 Modules & Topics

Module 1: Dynamics 365 Overview (2 Days)

• Introduction to Dynamics 365 ecosystem
• Finance, SCM, Sales, and CRM overview
• Navigation (web interface)
• Environment setup

Module 2: Finance Basics (2 Days)

• General Ledger (GL)
• Accounts Payable (AP)
• Accounts Receivable (AR)
• Financial transactions

Module 3: Supply Chain Management Basics (2 Days)

• Inventory management
• Procurement process
• Warehouse basics

Module 4: Sales & CRM Basics (2 Days)

• Lead and opportunity management
• Customer data management
• Sales pipeline

Module 5: Power Platform Basics (1.5 Days)

• Power BI dashboards
• Power Apps basics
• Power Automate workflows

Module 6: Security & Data Basics (0.5 Day)

• Role-based access control
• Data security fundamentals

🟡 LEVEL 2: Intermediate (Implementation & Configuration)

Duration: 18 Days (144 Hours)

🎯 Learning Objectives (Level 2)

• Configure Dynamics 365 modules based on business needs
• Implement financial, supply chain, and CRM processes
• Develop dashboards and automation workflows
• Integrate Dynamics with other systems
• Apply governance and compliance

✅ Learning Outcomes (Level 2)

• Configure Finance, SCM, and CRM modules
• Manage end-to-end business operations
• Build advanced dashboards and applications
• Implement integrations using Dataverse and APIs
• Apply security and compliance controls
• Deliver complete Dynamics 365 business solution
• Ready for Dynamics 365 Functional Consultant roles

📙 Modules & Topics

Module 1: Finance Advanced (4 Days)

• Budgeting and forecasting
• Fixed assets
• Cash and bank management
• Financial reporting

Module 2: Supply Chain Management Advanced (4 Days)

• Warehouse management
• Inventory optimization
• Demand planning
• Procurement policies

Module 3: Sales & CRM Advanced (3 Days)

• Sales automation
• Customer service management
• Marketing automation

Module 4: Power Platform Advanced (3 Days)

• Power BI advanced dashboards
• Power Apps development
• Power Automate workflows

Module 5: Integration & Data Management (2 Days)

• Data integration (Dataverse)
• APIs and connectors
• Data migration basics

Module 6: Security & Compliance (1 Day)

• Advanced RBAC
• Compliance and governance

Module 7: Hands-on Project (1 Day)

• End-to-end business solution implementation

🔴 LEVEL 3: Advanced (Architecture & Enterprise Solutions)

Duration: 22 Days (176 Hours)

🎯 Learning Objectives (Level 3)

• Design enterprise-grade Dynamics 365 solutions
• Implement advanced financial, SCM, and CRM processes
• Build scalable applications using Power Platform
• Integrate Dynamics with enterprise systems
• Manage data, security, and governance

✅ Learning Outcomes (Level 3)

• Architect scalable Dynamics 365 solutions
• Implement advanced business processes
• Develop enterprise-grade apps and workflows
• Integrate Dynamics with Azure and external systems
• Manage data migration and governance
• Deliver end-to-end enterprise solution
• Ready for:
  • Dynamics 365 Solution Architect
  • Senior Functional/Technical Consultant

📕 Modules & Topics

Module 1: Dynamics 365 Architecture (4 Days)

• Solution architecture
• Environment and lifecycle management
• Performance optimization

Module 2: Advanced Finance & SCM (5 Days)

• Financial consolidation
• Global supply chain optimization
• Risk and compliance

Module 3: Advanced CRM & Customer Experience (3 Days)

• Customer insights
• Omnichannel engagement
• AI-driven CRM

Module 4: Advanced Power Platform (4 Days)

• Power Apps advanced development
• Power Automate advanced workflows
• Power BI enterprise analytics

Module 5: Integration & Extensions (3 Days)

• Azure integration
• Custom connectors
• Low-code and pro-code extensions

Module 6: Data Migration & Governance (1 Day)

• Data migration strategies
• Data governance frameworks

Module 7: Testing & Deployment (1 Day)

• Testing strategies
• Release and lifecycle management

Module 8: Capstone Project (1 Day)

• Enterprise Dynamics 365 implementation

Summary

Odoo ERP Corporate Training Program

🟢 LEVEL 1: Beginner (Odoo Fundamentals)

Duration: 8 Days (64 Hours)

🎯 Learning Objectives (Level 1)

• Understand Odoo ERP structure and navigation
• Learn core business modules (Sales, Purchase, Inventory, Accounting)
• Understand basic business workflows
• Get familiar with CRM and reporting

✅ Learning Outcomes (Level 1)

• Navigate Odoo system and manage basic operations
• Execute sales, purchase, and inventory workflows
• Perform basic accounting transactions
• Manage leads and customer interactions
• Ready for entry-level Odoo functional roles

📘 Modules & Topics

Module 1: Odoo Overview & Setup (1 Day)

• Introduction to Odoo ERP
• Community vs Enterprise version
• Installation and environment setup
• Odoo interface and navigation

Module 2: Sales Module Basics (1.5 Days)

• Sales workflow
• Quotations and orders
• Pricing and invoicing

Module 3: Purchase Module Basics (1 Day)

• Vendor management
• Purchase orders
• Procurement process

Module 4: Inventory Basics (1.5 Days)

• Warehouse setup
• Stock movements
• Inventory control

Module 5: Accounting Basics (2 Days)

• Chart of accounts
• Invoicing and payments
• Financial reports basics

Module 6: CRM Basics (1 Day)

• Lead and opportunity management
• Pipeline tracking

🟡 LEVEL 2: Intermediate (Implementation & Customization)

Duration: 15 Days (120 Hours)

🎯 Learning Objectives (Level 2)

• Configure Odoo modules based on business needs
• Customize workflows and forms
• Develop basic Odoo modules
• Integrate Odoo with external systems
• Generate business reports and analytics

✅ Learning Outcomes (Level 2)

• Configure Sales, Purchase, Inventory, and Accounting modules
• Customize Odoo using Studio and basic development
• Create custom reports and dashboards
• Implement integrations with external systems
• Deliver end-to-end ERP workflow solution

Ready for Odoo Consultant / Developer roles

📙 Modules & Topics

Module 1: Sales & CRM Advanced (2 Days)

• Advanced pricing
• Sales automation
• Customer lifecycle management

Module 2: Purchase & Inventory Advanced (3 Days)

• Reordering rules
• Multi-warehouse management
• Inventory valuation

Module 3: Accounting Advanced (3 Days)

• Taxes and compliance
• Financial reporting
• Budgeting

Module 4: Odoo Studio & Customization (3 Days)

• Odoo Studio basics
• Custom fields and views
• Workflow customization

Module 5: Technical Development (2 Days)

• Odoo framework overview
• Python basics for Odoo
• Module development

Module 6: Reporting & Dashboards (1 Day)

• Custom reports
• KPI dashboards

Module 7: Integration Basics (1 Day)

• APIs and external integrations
• Data import/export

🔴 LEVEL 3: Advanced (Enterprise Implementation & Architecture)

Duration: 20 Days (160 Hours)

🎯 Learning Objectives (Level 3)

• Design enterprise Odoo solutions
• Develop advanced custom modules and integrations
• Optimize performance and scalability
• Implement multi-company and global ERP systems
• Manage data migration and governance

✅ Learning Outcomes (Level 3)

• Architect scalable Odoo ERP systems
• Develop advanced custom applications
• Integrate Odoo with enterprise systems
• Manage security and compliance
• Execute full ERP lifecycle (implementation to deployment)
• Deliver enterprise-grade Odoo solution
• Ready for senior Odoo Consultant / Architect roles

📕 Modules & Topics

Module 1: Odoo Architecture & Deployment (3 Days)

• Odoo architecture
• Deployment (Cloud vs On-premise)
• Performance optimization

Module 2: Advanced Development (4 Days)

• Advanced Python for Odoo
• ORM and APIs
• Custom module development

Module 3: Advanced Functional Processes (4 Days)

• Multi-company setup
• Advanced accounting and compliance
• Supply chain optimization

Module 4: Integration & API Development (3 Days)

• REST APIs
• Third-party integrations
• Middleware concepts

Module 5: Security & Access Control (2 Days)

• Roles and permissions
• Data security

Module 6: Data Migration & Management (2 Days)

• Data migration tools
• Data cleaning and transformation

Module 7: Testing & Deployment (1 Day)

• Testing strategies
• Release management

Module 8: Capstone Project (1 Day)

• Full enterprise Odoo implementation

Summary

Oracle ERP Cloud Corporate Training Program

🟢 LEVEL 1: Beginner (Oracle ERP Cloud Fundamentals)

Duration: 10 Days (80 Hours)

🎯 Learning Objectives (Level 1)

• Understand Oracle ERP Cloud architecture and modules
• Learn core business processes (Finance, Procurement, Order Management)
• Navigate Oracle Fusion applications
• Understand basic reporting and security

✅ Learning Outcomes (Level 1)

• Navigate Oracle ERP Cloud interface
• Perform basic financial transactions (GL, AP, AR)
• Execute procurement and order processes
• Generate basic reports and dashboards
• Apply role-based access control
• Ready for entry-level Oracle ERP roles

📘 Modules & Topics

Module 1: Oracle ERP Cloud Overview (2 Days)

• Oracle ERP Cloud introduction
• Cloud architecture and modules
• Navigation (Oracle Fusion UI)
• Enterprise structure

Module 2: Financials Basics (3 Days)

• General Ledger (GL)
• Accounts Payable (AP)
• Accounts Receivable (AR)
• Journal entries and transactions

Module 3: Procurement Basics (2 Days)

• Procurement lifecycle
• Supplier management
• Purchase orders

Module 4: Order Management Basics (1.5 Days)

• Order lifecycle
• Order entry and fulfillment
• Basic pricing

Module 5: Reporting & Analytics Basics (1 Day)

• Standard reports
• Dashboards
• BI tools overview

Module 6: Security & Access Basics (0.5 Day)

• Roles and access control
• Basic security concepts

🟡 LEVEL 2: Intermediate (Implementation & Configuration)

Duration: 18 Days (144 Hours)

🎯 Learning Objectives (Level 2)

• Configure Oracle ERP modules for business needs
• Implement financial, procurement, and order processes
• Develop reports and dashboards
• Integrate Oracle ERP with external systems
• Apply security and compliance controls

✅ Learning Outcomes (Level 2)

• Configure financial and procurement modules
• Manage end-to-end business transactions
• Create custom reports and analytics dashboards
• Implement basic integrations
• Apply governance and security policies
• Deliver complete ERP workflow solution
• Ready for Oracle ERP Consultant roles

📙 Modules & Topics

Module 1: Financials Advanced (5 Days)

• Financial reporting
• Asset management
• Cash management
• Budgeting and forecasting

Module 2: Procurement Advanced (3 Days)

• Supplier qualification
• Contract management
• Procurement policies

Module 3: Order Management Advanced (3 Days)

• Pricing strategies
• Order orchestration
• Shipping and fulfillment

Module 4: Reporting & Analytics (2 Days)

• Oracle BI tools
• Custom reports
• Data visualization

Module 5: Integration Basics (2 Days)

• Web services (SOAP/REST)
• Data import/export
• Integration tools overview

Module 6: Security & Compliance (2 Days)

• Role-based security (RBAC)
• Audit and compliance

Module 7: Hands-on Project (1 Day)

• End-to-end business process implementation

🔴 LEVEL 3: Advanced (Enterprise Architecture & Optimization)

Duration: 22 Days (176 Hours)

🎯 Learning Objectives (Level 3)

• Design enterprise-level Oracle ERP Cloud architecture
• Implement advanced financial and supply chain processes
• Integrate ERP with enterprise systems
• Customize and extend ERP applications
• Manage data, security, and governance

✅ Learning Outcomes (Level 3)

• Architect scalable Oracle ERP solutions
• Implement advanced business processes
• Build integrations using Oracle Integration Cloud
• Customize ERP workflows and applications
• Manage enterprise data and compliance
• Deliver end-to-end ERP implementation
• Ready for senior Oracle ERP Consultant / Architect roles

📕 Modules & Topics

Module 1: Oracle ERP Architecture (4 Days)

• System architecture and deployment
• Multi-org and global setups
• Performance optimization

Module 2: Advanced Financials & SCM (5 Days)

• Advanced financial consolidation
• Supply chain optimization
• Risk and compliance

Module 3: Advanced Integration (4 Days)

• Oracle Integration Cloud (OIC)
• API management
• Middleware concepts

Module 4: Extensions & Customization (3 Days)

• Oracle Visual Builder
• Custom workflows
• Low-code/no-code extensions

Module 5: Data Migration & Management (2 Days)

• Data migration tools
• Data quality and governance

Module 6: Security & Governance (2 Days)

• Advanced RBAC
• Identity management
• Compliance frameworks

Module 7: Testing & Deployment (1 Day)

• Testing strategies
• Release management

Module 8: Capstone Project (1 Day)

• Enterprise ERP implementation

Summary

SAP S/4HANA Corporate Training Program

🟢 LEVEL 1: Beginner (SAP Foundation – Functional + Technical Basics)

Duration: 12 Days (96 Hours)

🎯 Learning Objectives (Level 1)

• Understand SAP S/4HANA system and navigation
• Learn core business processes (Finance, Procurement, Sales)
• Understand basic ABAP programming concepts
• Identify integration between modules

✅ Learning Outcomes (Level 1)

• Navigate SAP GUI and Fiori apps
• Perform basic financial transactions (GL, AP, AR)
• Execute procurement and sales processes
• Write simple ABAP reports
• Understand cross-module business flow
• Ready for entry-level SAP user roles

📘 Modules & Topics

Module 1: SAP Overview & S/4HANA Introduction (2 Days)

• SAP ERP overview
• S/4HANA architecture and benefits
• SAP GUI & Fiori navigation
• Organizational structure

Module 2: Finance (FI) Basics (3 Days)

• Financial accounting overview
• General Ledger (GL)
• Accounts Payable (AP)
• Accounts Receivable (AR)
• Financial postings

Module 3: Materials Management (MM) Basics (2 Days)

• Procurement lifecycle
• Purchase requisition & purchase order
• Goods receipt & invoice verification

Module 4: Sales & Distribution (SD) Basics (2 Days)

• Sales process overview
• Sales order processing
• Delivery and billing

Module 5: ABAP Basics (2 Days)

• Introduction to ABAP
• Data types and variables
• Basic reports (SE38)

Module 6: Integration Overview (1 Day)

• FI-MM-SD integration basics
• End-to-end business process flow

🟡 LEVEL 2: Intermediate (SAP Implementation & Configuration)

Duration: 20 Days (160 Hours)

Learning Objectives (Level 2)

• Configure SAP modules based on business requirements
• Implement end-to-end business processes
• Develop ABAP programs for customization
• Integrate FI, MM, and SD modules
• Analyze and generate business reports

✅ Learning Outcomes (Level 2)

• Configure FI, MM, and SD modules
• Manage procurement, sales, and finance operations
• Develop ABAP reports and debug programs
• Implement cross-module integration
• Generate and analyze business reports
• Deliver complete SAP business workflow solution
• Ready for SAP Consultant roles (Functional/Technical)

📙 Modules & Topics

Module 1: SAP FI Advanced (5 Days)

• Asset Accounting
• Bank Accounting
• Financial closing processes
• Cost center accounting

Module 2: SAP MM Advanced (4 Days)

• Vendor management
• Inventory management
• Pricing and valuation
• Material requirement planning (MRP)

Module 3: SAP SD Advanced (4 Days)

• Pricing procedures
• Credit management
• Shipping and billing
• Sales analytics

Module 4: ABAP Development (4 Days)

• Modularization techniques
• ALV reports
• Data Dictionary (DDIC)
• Debugging

Module 5: Integration & Configuration (2 Days)

• Cross-module configuration
• Business process integration

Module 6: SAP Reporting (1 Day)

• Standard reports
• Query tools

Module 7: Hands-on Project (1 Day)

• End-to-end business scenario implementation

🔴 LEVEL 3: Advanced (SAP Architecture & Enterprise Implementation)

Duration: 25 Days (200 Hours)

Learning Objectives (Level 3)

• Design enterprise SAP S/4HANA architectures
• Implement advanced business processes across modules
• Develop complex ABAP solutions and enhancements
• Integrate SAP with external systems
• Manage security, governance, and data migration

✅ Learning Outcomes (Level 3)

• Architect and implement enterprise SAP solutions
• Optimize finance, procurement, and sales processes
• Develop advanced ABAP applications and integrations
• Implement SAP Fiori applications
• Manage SAP security and compliance
• Execute full SAP lifecycle (migration → deployment)
• Deliver enterprise-grade SAP implementation
• Ready for senior SAP Consultant / Architect roles

📕 Modules & Topics

Module 1: SAP S/4HANA Architecture (4 Days)

• System landscape
• Deployment models (Cloud, On-Premise)
• Performance optimization

Module 2: Advanced FI/MM/SD (6 Days)

• Advanced financial reporting
• Supply chain optimization
• Advanced sales and distribution strategies

Module 3: Advanced ABAP & Development (5 Days)

• Object-Oriented ABAP
• Enhancements (BADI, User exits)
• CDS views and OData services

Module 4: SAP Integration (3 Days)

• Integration with external systems (API, IDocs)
• Middleware concepts

Module 5: SAP Fiori & UX (2 Days)

• Fiori app development basics
• UI5 overview

Module 6: SAP Security & Governance (2 Days)

• Roles and authorization
• Compliance and audit

Module 7: Data Migration & Conversion (2 Days)

• Data migration tools
• S/4HANA conversion strategies

Module 8: Testing & Deployment (1 Day)

• Unit testing and integration testing
• Transport management

Module 9: Capstone Project (1 Day)

• Enterprise SAP implementation scenario

Summary

🔷 1. IBM Cloud

🟢 Beginner (3 Days – 24 Hours)

Learning Objectives

• Understand cloud computing models (IaaS, PaaS, SaaS)
• Explore IBM Cloud services and dashboard
• Learn resource provisioning and IAM basics

Learning Outcomes

• Deploy virtual machines and storage
• Configure basic IAM roles
• Navigate and use IBM Cloud services effectively

🟡 Intermediate (4 Days – 32 Hours)

Learning Objectives

• Understand containerization and Kubernetes
• Learn cloud networking (VPC, Load Balancer)
• Build CI/CD pipelines

Learning Outcomes

• Deploy containerized applications
• Implement CI/CD workflows
• Monitor and manage cloud resources

🔴 Advanced (5 Days – 40 Hours)

Learning Objectives

• Design enterprise cloud architectures
• Implement hybrid & multi-cloud strategies
• Apply security and cost optimization techniques