Live AI Agent Bootcamp: Build and Deploy Real-World AI Agents
Cohort 3 starts 3 October 2026 at 08:00 GMT+5:30. Build one industry problem use case through 11 live sessions.
Program details
15 hours of live instruction. Price: ₹30,000 INR or $400 USD.
What you will build
Apply LangChain, RAG, CrewAI, AutoGen and deployment skills to one industry problem use case.
Curriculum
Session 1: Python + API Refresher
Key Python for AI (functions, OOP basics), REST APIs, JSON. Hands-on: Call OpenAI API using Python script.
Session 2: Intro to AI Agents
What are agents, ReAct, planning vs execution. Hands-on: Build a simple agent with calculator + search tool.
Session 3: LangChain Essentials
Prompt templates, LLM wrappers, chaining. Hands-on: Build prompt-based LLM app using LangChain.
Session 4: Memory + Conversational AI
Buffer memory, context handling. Hands-on: Build chatbot with memory.
Session 5: Tool Integration + Agents
Tools, function calling, agent workflows. Hands-on: Build multi-tool agent (search + Python).
Session 6: Embeddings + Vector DB
Embeddings, similarity search, FAISS/Chroma. Hands-on: Create vector store + semantic search.
Session 7: RAG Core Concept
Retrieval-Augmented Generation pipeline. Hands-on: Build QA bot on PDF/CSV.
Session 8: Advanced Agents
ReAct agents, function calling (OpenAI). Hands-on: Build structured tool-calling agent.
Session 9: Multi-Agent Systems
CrewAI / AutoGen basics, role-based agents. Hands-on: Build 2-agent system (planner + executor).
Session 10: Deployment
Streamlit / FastAPI basics. Hands-on: Deploy agent UI (Streamlit app).
Session 11: Mini Capstone
Architecture design (RAG + tools + memory). Hands-on: Start building capstone project.
Instructor
Rishav Das
Lead AI Instructor
Certificate
Participants who complete the bootcamp receive an MCI Certified digital certificate.
Frequently asked questions
How many live sessions are included?
11 hands-on live sessions.
What tools are covered?
LangChain, RAG, CrewAI, AutoGen, Deployment.
How much does the bootcamp cost?
₹30,000 INR or $400 USD.