For working professionals & experienced engineers
12 Weeks
AWS · Azure · GCP
Curriculum design
01
AI Foundations: ML, DL & GenAI
02
LLM Models & Context Mechanics
03
Prompt Engineering & Agentic Principles
04
Skills, Agents & RAG
05
Advanced Retrieval & RAG Optimization
06
Evals & Automated Benchmarking
07
Model Context Protocol
08
HARNESS AI & Agent Frameworks
09
Multi-Agent Systems & Orchestration
10
Observability & Agent Economics
11
Governance & AI Safety
12
Cloud Deployment for Agentic AI
Six hands-on builds
Each lab closes the gap between a concept you understand and a system you can defend in production.
LAB 01 · LLM ROUTING
Multi-Model Production ChatGPT Microservice
FastAPI with dynamic model routing, SSE streaming, token budgets, and persistent conversation threads.
LAB 02 · HYBRID RAG
Enterprise Hybrid RAG Engine with Re-Ranking
Qdrant, Cohere Re-rank, Ragas evaluation, PDF ingestion, and retrieval guardrails for messy enterprise data.
LAB 03 · MCP SECURITY
Secure Enterprise MCP Server & OpenAPI Gateway
FastMCP server, OAuth2, OpenAPI tools, rate limiting, and continuous evals before tool execution.
LAB 04 · HITL FINTECH
Transactional Zerodha Trading MCP Agent
LAB 05 · AGENTIC SDLC
Multi-Agent Spec-Driven SDLC Suite
An orchestrator with requirements, design, coding, and QA agents, Postgres checkpoints, and automated self-correction loops.
LAB 06 · REAL-TIME VOICE
Cloud-Hosted Sales Voice Agent
Deepgram or Whisper, a real-time LLM, ElevenLabs, WebSockets, Docker deployment, and CRM-integrated structured notes.
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