Step 3 · Engineering
AI Engineering Specialist
Fifty-two weekend sessions. Python, LangChain, RAG, vector databases, and a production capstone.
- 01
Advanced LLM Mechanics & Prompt Engineering
- 02
Retrieval-Augmented Generation & Vector Databases
- 03
Agent Frameworks & Multi-Agent Orchestration
- 04
LLM Operations, Observability & Cost Control
- 05
Evaluation, Safety & Output Guardrails
- 06
Fine-Tuning, Quantization & Model Optimization
- 07
Cloud Infrastructure & Containerization
- 08
API Design, Security & Identity
- 09
Real-Time Pipelines & Event-Driven AI
- 10
Custom AI Projects & Product Roadmapping
- 11
Voice, Vision & Multimodal Systems
- 12
AI Strategy, Governance & Ethics
- 13
Leadership, Communication & Stakeholder Management
- 14
Portfolio, Interview Prep & Placement Support
- 15
Capstone Project & Production Launch
What will you be able to do?
Design a RAG system on real documents
Orchestrate more than one agent
Deploy an API with basic guardrails
Walk into an interview with a capstone
Who should join?
Which tools will you master?
- Python
- LangChain
- LangGraph
- Vector databases
- FastAPI
- Docker
- Evaluation harnesses
What does the Specialist track cost?
₹3,00,000
Weekends · 52 sessions · placement support
- • Python, LangChain and RAG
- • Production capstone
- • Certificate and career review
Questions about the Specialist program
You should be comfortable reading Python. The 3-month program is the better start if you are not.
No. You get portfolio review, interview practice, and introductions. A job is the aim, not a promise.
Weekends, live online, with a classroom option at Mall Road, Almora when a batch is seated there.