Agentic AI Program
Designing Autonomous, Goal-Driven & Multi-Agent AI Systems
1. Understanding Agentic AI
- What is Agentic AI and why it matters
- Autonomy, decision-making & action execution in AI systems
- Differences between traditional AI, Generative AI, and Agentic AI
- Real-world agentic AI examples and business impact
2. Python & Programming Foundations
- Python essentials for building AI agents
- Object-oriented design for autonomous workflows
- Asynchronous programming & task automation basics
3. Core Agentic AI Concepts
- Agent architecture: goals, states & actions
- Planning, reasoning & feedback loops
- Task decomposition & execution strategies
4. LLM Integration & Prompting
- Using Large Language Models (LLMs) as agent brains
- Prompt engineering for decision-oriented tasks
- Function calling & tool integration
5. Multi-Agent Systems
- Single-agent vs multi-agent workflows
- Communication & coordination between agents
- Collaborative problem-solving with multiple agents
6. Knowledge, Memory & Retrieval
- Embeddings & semantic memory
- Vector databases for context awareness
- Retrieval-Augmented Generation (RAG) in agent systems
7. Tools & Agent Frameworks
- LangChain & LangGraph for building agents
- AutoGen & CrewAI frameworks
- Practical integration with APIs and external services
8. Real-World Agentic AI Applications
- Decision-support systems
- AI research assistants
- Automated workflow orchestration
- Customer service automation
9. Deployment & Production
- Deploying agents with FastAPI / Flask
- Monitoring, scaling & observability
- Security best practices for autonomous systems
10. Responsible & Safe AI
- Ethical considerations & safety guardrails
- Mitigating risks in autonomous decision-making
- Human-in-the-loop systems for control & safety
11. Hands-On Projects
- Build multi-agent workflows
- Autonomous research & task execution agents
- Portfolio-ready capstone projects
12. Career Readiness
- Job roles in Agentic AI
- Resume & portfolio guidance
- Interview preparation & industry insights
