Lab 01
Autonomous Research Assistant
An agent that browses, reads, cites and writes a structured research brief on any topic — with human review checkpoints.
Build autonomous AI agents in 12 weeks.
Design agents that plan, use tools, remember and collaborate. Ship production multi-agent workflows with LangGraph, CrewAI and LlamaIndex — mentored by engineers running agents in production today.
0% EMI availablePlacement guaranteeHands-on labs included
Agentic AI Track
Only 5 seats left
30-min call · no pressure · get a personal roadmap
12 wks
Cohort length
45+
Agent labs
9.6/10
Alumni rating
93%
Placement rate
Alumni working at
DNMPramataResponsiveSocial Bytes Pvt LtdUPLDMG
Outcomes
What you'll be able to do on day one at your new job
Every module ends with a graded lab that mirrors what teams actually ship. No slides-only theory.
Design agent architectures: ReAct, Plan-and-Execute, Reflection.
Build tool-using agents with structured outputs and validation.
Implement short-term and long-term memory with vector stores.
Orchestrate multi-agent teams with LangGraph state machines.
Build role-based crews with CrewAI for parallel workflows.
Add human-in-the-loop checkpoints to sensitive agent actions.
Evaluate agents with trace analysis and guardrails.
Deploy agents behind FastAPI with observability and cost controls.
12-week curriculum
Get the detailed syllabus PDFSix modules. From single agent to production crews.
- Module 01Weeks 1–2
LLM & Prompt Foundations
The primitives every agent is built on.
- LLM APIs & structured outputs
- Prompt engineering patterns
- Function calling & tool schemas
- Cost, latency & token budgets
- Module 02Weeks 3–4
Single-Agent Design
ReAct, planning and reflection.
- ReAct loop from scratch
- Plan-and-Execute agents
- Self-reflection & critique
- Guardrails & output validation
- Module 03Weeks 5–6
Memory & Retrieval
Give your agents context.
- Vector stores (Pinecone, Chroma)
- RAG for agents
- Short-term vs long-term memory
- Semantic + episodic recall
- Module 04Weeks 7–8
Multi-Agent Orchestration
Teams of agents that actually cooperate.
- LangGraph state machines
- CrewAI roles & tasks
- Supervisor + worker patterns
- Handoffs & delegation
- Module 05Weeks 9–10
Tool Use & Integrations
Agents that touch the real world.
- Web browsing & scraping tools
- SQL & API tools
- Code interpreter agents
- Human-in-the-loop patterns
- Module 06Weeks 11–12
Production, Eval & Capstone
Ship it, measure it, keep it safe.
- Tracing with LangSmith
- Evaluation harnesses
- Cost & rate-limit strategies
- FastAPI deployment + capstone
Mandatory capstone labs
Projects you'll actually ship
Lab 02
Multi-Agent Support Crew
A CrewAI team (triage → specialist → QA) that handles customer tickets end-to-end with escalation paths.
Lab 03
SQL Data Analyst Agent
A LangGraph agent that answers business questions by writing SQL, validating results, and explaining findings in plain English.
600+
AI alumni placed
150+
Hiring partners
8 yrs
Training experience
12
Max cohort size
Student stories
Real placements. Real hikes. Real portfolios.
"The LangGraph module clicked what 20 YouTube tutorials couldn't. I ship agents at work now."
S
Shweta Rao
AI Engineer · SaaS
"My capstone crew replaced a 3-person ops team's daily workflow. Interviews wrote themselves."
A
Aakash Jain
AI Solutions Engineer
"Getting mentored by people actually running agents in prod is different from any course I've done."
D
Divya Nair
GenAI Engineer
"Learned to eval agents properly — that's the skill everyone's hiring for right now."
N
Nikhil Sharma
Applied Scientist
FAQ
Everything parents & partners ask
Do I need prior AI experience?
Some Python + basic LLM API exposure is ideal. If you're new, take our Python AI or GenAI track first.
Which frameworks will I learn?
LangGraph and CrewAI are the primary focus, with LlamaIndex for retrieval and LangSmith for tracing.
Do I get API credits?
Yes — OpenAI and Anthropic sandbox credits, plus a Pinecone free-tier project.
What roles will I qualify for?
AI Engineer, GenAI Engineer, Applied AI Engineer and AI Solutions Engineer roles — typically ₹14-35 LPA.
Is the course online or in-person?
Hybrid. Live weekday classes online, weekend labs and mock interviews at our Chandra Layout campus in Bengaluru (or fully online).
Are EMIs available?
Yes — 0% interest EMIs across 6, 9 and 12 months. Scholarships for women returnees and tier-3 students.
Next cohort · Aug intake
Your Data Engineering career starts with a 30-min call.
Talk to a mentor. Get an honest read on your background, a personalized roadmap, and full fee + EMI details. No pressure.