What You'll Learn
- Understand the core concepts and foundations of Agentic AI systems.
- Gain hands-on experience building AI agents using frameworks like LangChain, LangGraph and CrewAI.
- Learn to orchestrate tools, memory, and reasoning for enterprise-grade Agentic AI workflows.
- Monitor, evaluate, and productionize Agentic AI using real-world metrics and best practices using real world capstone projects.
- Build and deploy real-world AI agents using LangChain, LangGraph & CrewAI.
- Work on practical projects building AI agents with reasoning, planning & autonomy.
- Project1 - Build a Personal Research Assistant AI Agent that autonomously gathers, summarizes, and synthesizes data using ReAct, FAISS, LangChain, and memory.
- Project2 - Build an Investment Analyst AI Agent that researches companies, summarizes insights, performs SWOT analysis, and flags risks using LangChain tools
Requirements
- Basic Python programming knowledge.
- Familiarity with REST APIs and JSON.
- Some exposure to LLMs (like OpenAI, Claude, etc.) is helpful but not mandatory.
- Familiarity with Ubuntu or any other Unix environment is preferred. Enterprise grade Agentic AI face some limitations in Windows environment.
Who This Course is For
- This course is designed for technology professionals, AI practitioners, and product builders who want to go beyond traditional LLM-based chatbots and build powerful Agentic AI systems that can reason, plan, act, and collaborate.
- It is ideal for:
- AI/ML engineers looking to implement multi-agent systems and autonomous workflows.
- Backend and full-stack developers seeking to integrate LangChain, LangGraph, CrewAI, and ReAct-style agents into real-world applications.
- Tech founders and product managers who want to design scalable AI-powered workflows for enterprise or startup settings.
- Data scientists and architects interested in Retrieval-Augmented Generation (RAG), tool orchestration, monitoring, and agent observability.
- Advanced learners or researchers who are ready to explore cutting-edge architectures for AI decision-making, memory, and coordination.
Your Instructor
Pranab Das
GenAI Leader | AI Strategist | Agentic AI Course Creator
4.9 Instructor Rating
24 Reviews
2,398 Students
1 Course
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