AI Agents — Pro with LangChain & LangGraph
The advanced, code-first AI agent program. Build production-grade agents in Python using LangChain, LangGraph, CrewAI, and AutoGen. You will design tool-using agents, RAG pipelines, multi-agent teams, and stateful workflows with proper guardrails, evaluation, and deployment. Strong Python is required.
Focus areas: LangChain, LangGraph, CrewAI, AutoGen, RAG, vector DBs, tool calling, agent evaluation, deployment, FastAPI
About this program
The advanced, code-first AI agent program. Build production-grade agents in Python using LangChain, LangGraph, CrewAI, and AutoGen. You will design tool-using agents, RAG pipelines, multi-agent teams, and stateful workflows with proper guardrails, evaluation, and deployment. Strong Python is required.
Learn
Core concepts explained live, step by step
Build
Assignments and projects that become portfolio proof
Present
Resume, interview, and client-ready story
What is included in this program
Curriculum
- 01LLM fundamentals for engineers — tokens, context, embeddings
- 02Prompt engineering and structured outputs (JSON, Pydantic)
- 03LangChain core — chains, prompts, output parsers
- 04LangChain tools and function calling
- 05Retrieval-Augmented Generation (RAG) end to end
- 06Vector databases — Chroma, Pinecone, pgvector
- 07Chunking, embeddings, and reranking strategies
- 08Agents in LangChain — ReAct, tool-using, and planning
- 09LangGraph — stateful, cyclical, multi-step agent workflows
- 10LangGraph — human-in-the-loop and checkpointing
- 11CrewAI — defining roles, tasks, and crews
- 12Multi-agent collaboration patterns
- 13AutoGen — conversational multi-agent systems
- 14Memory — short-term, long-term, and episodic
- 15Streaming responses and async agents
- 16Building APIs around agents with FastAPI
- 17Observability — LangSmith, tracing, and logs
- 18Evaluation — accuracy, safety, and regression tests
- 19Guardrails, prompt injection defence, and cost control
- 20Deploying agents — Docker, serverless, and scaling
- 21Capstone — a production multi-agent app with RAG, tools, and UI
What you get when you enroll
Ask about the next batch
No batch dates are currently published for this program. Request a free demo to discuss availability, your starting level and a suitable schedule.
Request a Free DemoOne-time program fee
Covers the full 3 months mentor-led program.
This track includes
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Before you choose
Your questions about this course
Who should consider AI Agents — Pro with LangChain & LangGraph?
For Python learners who want to build code-based AI agents, retrieval workflows and tool integrations.
What should I know before starting?
Strong Python is explicitly required in the published description. Review your programming experience with the team before choosing this track.
Can I start AI Agents Pro without knowing Python?
The catalog requires strong Python for this program. Compare Python Fundamentals, Python Advanced & DSA or No-Code Foundations to discuss a suitable starting point.
What are the published fee and duration?
The catalog currently lists ₹14,000.00 and 3 months. Confirm the final fee, payment terms and any additional tool or project costs with the team before paying.
When can I join the next online batch?
Check the batch section on this page for published dates. If no batch is listed, ask the team about availability. Confirm the timetable in IST, teaching language, device requirements and practice time for your batch.
Can I discuss the course before enrolling?
Yes. Request a free demo without creating an account. Share your current level and goal so the team can discuss a suitable learning plan. Read the refund policy and terms before paying.
Still choosing? Compare programs side by side or ask the team.
Ready to Start Learning?
Try a free demo and discuss your learning plan for AI Agents — Pro with LangChain & LangGraph. No account needed.