★★★★★
"The structure, the practice exams, the instructor — all top tier. Passed first try."
AS
Aarti SharmaSenior Project Manager · TCS
— The journey
Course Outline
What the programme covers, module by module.
Module 1: Introduction to Agentic AI
- AI evolution
- Agentic AI concepts
- Autonomous systems
- AI agent lifecycle
- Business applications
Module 2: Large Language Models
- Foundation models
- Prompt engineering
- Context management
- Tokenization concepts
- Model capabilities and limitations
Module 3: AI Agent Architecture
- Agent components
- Planning engine
- Reasoning mechanisms
- Execution workflow
- Decision-making processes
Module 4: Prompt Engineering
- Prompt design
- Role prompting
- Chain-of-thought concepts
- Prompt optimization
- Prompt evaluation
Module 5: Memory Systems
- Short-term memory
- Long-term memory
- Conversation memory
- Knowledge storage
- Context retrieval
Module 6: Tool Integration
- Function calling
- External APIs
- Database connectivity
- Search tools
- Automation workflows
Module 7: Retrieval-Augmented Generation (RAG)
- Knowledge retrieval
- Vector databases
- Embeddings
- Document indexing
- Context-aware responses
Module 8: Multi-Agent Systems
- Agent collaboration
- Task delegation
- Communication protocols
- Cooperative workflows
- Agent coordination
Module 9: AI Workflow Orchestration
- Workflow design
- Task sequencing
- Agent orchestration
- Human-in-the-loop
- Process automation
Module 10: AI Application Development
- AI application architecture
- Backend integration
- Frontend interaction
- User experience
- Deployment planning
Module 11: AI Security and Governance
- AI security principles
- Data privacy
- Access control
- Responsible AI
- Risk management
Module 12: AI Evaluation
- Response evaluation
- Performance metrics
- Hallucination reduction
- Quality assurance
- Continuous improvement
Module 13: AI Automation
- Workflow automation
- Business process automation
- Intelligent assistants
- Decision automation
- Task optimization
Module 14: AI Frameworks and Libraries
- LangChain
- LangGraph
- LlamaIndex
- Semantic Kernel overview
- AI development frameworks
Module 15: AI Deployment
- Model deployment
- Cloud deployment
- API deployment
- Scalability
- Production environments
Module 16: Monitoring and Observability
- Performance monitoring
- Logging
- Usage analytics
- Error tracking
- Operational dashboards
Module 17: Performance Optimization
- Latency optimization
- Cost optimization
- Resource management
- Model optimization
- Scalability strategies
Module 18: Enterprise AI Integration
- Enterprise systems integration
- CRM integration
- ERP integration
- API orchestration
- Business workflows
Module 19: AI Project Best Practices
- AI project planning
- Documentation
- Collaboration
- Version management
- Operational excellence
Module 20: End-to-End Agentic AI Solution
- Solution design
- AI agent development
- Workflow implementation
- Testing and optimization
- Production deployment
— 01.2 · Is it right for you?
Who it's for & what's included
Pick a delivery method to see exactly who it suits and everything you receive.
Who it's for
Classroom
Best for learners who want face-to-face tuition and to network with peers in person.
What's included
Everything you get
- ✓ Live instructor on-site
- ✓ Printed workbook & materials
- ✓ Group exercises & case studies
Who it's for
Online Instructor-Led
Best for learners who want a live instructor and a fixed schedule, without the travel.
What's included
Everything you get
- ✓ Live instructor via video call
- ✓ Digital workbook & resources
- ✓ Session recordings
Who it's for
Self-Paced
Best for self-motivated learners who need maximum flexibility around work and life.
What's included
Everything you get
- ✓ On-demand video lessons
- ✓ Interactive quizzes
- ✓ 24/7 access on any device