Gen AI Full Stack Training

Become an AI engineer. Master the complete Gen AI stack — from Python and FastAPI backends to React frontends, from RAG pipelines and multi-agent systems to production-grade guardrails. Live one-to-one mentorship with real-world projects.

5-6 Months 10 Modules 1-on-1 Live Training Industry Ready

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Course Fee

₹1,46,999

Live 1-on-1 Training

Dedicated 1-on-1 live sessions
Full Stack: Python + FastAPI + React
RAG, Agents & Multi-Agent systems
LangGraph, LangSmith & Guardrails
Memory management & hallucination control
Real-world AI projects for portfolio
Certificate of completion

Enroll Now — ₹1,46,999

Complete Curriculum

Full Stack AI Syllabus

A comprehensive, project-driven curriculum that takes you from Python fundamentals to building production-grade AI systems

Module 01

Python — Core & Advanced

Python fundamentals & data structures
OOP — classes, inheritance, polymorphism
Decorators, generators & context managers
File handling & exception management
Async programming (asyncio, await)
Working with external libraries & APIs

3 Weeks

Module 02

FastAPI — Backend Development

FastAPI fundamentals & routing
Request/response models with Pydantic
Authentication & middleware
Database integration with SQLAlchemy
File uploads, WebSockets & background tasks
API documentation & testing

3 Weeks

Module 03

React.js — Frontend

React fundamentals, JSX & components
Hooks — useState, useEffect, useContext
React Router & navigation
API integration with FastAPI backend
State management & real-time UI updates
Building chat interfaces & dashboards

3 Weeks

Module 04

PostgreSQL — Database

Relational database design & normalization
SQL queries — joins, subqueries, indexes
PostgreSQL with SQLAlchemy ORM
pgvector for vector embeddings storage
Database migrations with Alembic
Performance optimization & connection pooling

2 Weeks

Module 05

RAG — Retrieval Augmented Generation

RAG architecture & pipeline design
Document loading, chunking & embedding
Vector stores — Pinecone, ChromaDB, pgvector
Semantic search & similarity retrieval
Hybrid search (keyword + semantic)
RAG evaluation & optimization techniques

3 Weeks

Module 06

Generative AI & LLMs

LLM fundamentals — GPT, Claude, open-source models
Prompt engineering & chain-of-thought
LangChain — chains, tools & output parsers
Structured output & function calling
Streaming responses & token management
Fine-tuning concepts & model selection

3 Weeks

Module 07

LangGraph & LangSmith

LangGraph — stateful AI workflow graphs
Node & edge design patterns
Conditional routing & branching logic
Human-in-the-loop workflows
LangSmith — tracing, debugging & evaluation
Monitoring AI pipelines in production

2 Weeks

Module 08

Memory — Short-term & Long-term

Conversation memory architecture
Short-term memory — buffer & window memory
Long-term memory — persistent storage & retrieval
Message continuity across sessions
Memory summarization & compression
User-specific context & personalization

2 Weeks

Module 09

Multi-Agent Systems

Agent architecture & design patterns
Tool-using agents & function calling
Multi-agent orchestration & communication
Supervisor & worker agent patterns
Agent collaboration & task delegation
Building autonomous AI agent teams

3 Weeks

Module 10

Guardrails & Hallucination Control

Input validation & content filtering
Output guardrails — format, safety, relevance
Hallucination detection & prevention strategies
Grounding responses with source citations
Rate limiting, cost control & token budgets
Production deployment & monitoring best practices

2 Weeks

Gen AI Full Stack Training

The AI Tech Stack

Full Stack AI Syllabus

Python — Core & Advanced

FastAPI — Backend Development

React.js — Frontend

PostgreSQL — Database

RAG — Retrieval Augmented Generation

Generative AI & LLMs

LangGraph & LangSmith

Memory — Short-term & Long-term

Multi-Agent Systems

Guardrails & Hallucination Control

Start Your Gen AI Journey