Nitin Monga

Cohort 1

AUS Cohort 3

Cohort 2

Cohort 4

This call is for you—whether you're wondering if the Master Class is right for your background, have questions about the curriculum, or just want to understand what "agentic AI" actually means before you commit.No pitch. No pressure. Just a straight conversation about where you are, where you want to go, and whether this cohort can get you there.Talk soon. Calendly One-on-One -<a href="https://calendly.com/nitinind91/agentic-ai-bootcamp" rel="noopener noreferrer" target="_blank">https://calendly.com/nitinind91/agentic-ai-bootcamp</a>

Book time with me for all your Agentic Bootcamp cohort related queries.

This call is for you—whether you're wondering if the Master Class is right for your background, have questions about the curriculum, or just want to understand what "agentic AI" actually means before you commit.No pitch. No pressure. Just a straight conversation about where you are, where you want to go, and whether this cohort can get you there.Talk soon. Calendly One-on-One -<a href="https://calendly.com/nitinind91/agentic-ai-bootcamp" rel="noopener noreferrer" target="_blank">https://calendly.com/nitinind91/agentic-ai-bootcamp</a>

Book 

This document gives you a crystal-clear breakdown of how Large Language Models actually work behind the scenes.If you work with AI, build products, create prompts, or train teams, this guide will help you:<ul><li>Understand how LLMs process, reason, and generate responses</li><li>Explain AI workflows to clients, stakeholders, or students</li><li>Improve your prompt engineering and agent design</li><li>Communicate complex AI concepts in a simple, visual way</li></ul>It’s a compact, easy-to-read, professional reference you can keep handy whenever you’re building or explaining AI systems.

Large Language Models: Under the Hood

This document gives you a crystal-clear breakdown of how Large Language Models actually work behind the scenes.If you work with AI, build products, create prompts, or train teams, this guide will help you:<ul><li>Understand how LLMs process, reason, and generate responses</li><li>Explain AI workflows to clients, stakeholders, or students</li><li>Improve your prompt engineering and agent design</li><li>Communicate complex AI concepts in a simple, visual way</li></ul>It’s a compact, easy-to-read, professional reference you can keep handy whenever you’re building or explaining AI systems.

LLMs: Under the Hood

Master LangChain, LangGraph, Agentic RAG, & MCP — and create the intelligent, autonomous AI workflows & AI Agents like - www.aitripy.com

AI Tech Founder

Tech Founder & AI Engineer 

Agentic AI Bootcamp: Build Powerful Agentic AI Applications

Data Scientist

Solution Architect - Data & AI

AI Marketer

Director for Analytics and Integrations

IT Manager

‼️ Updated 2026 Curriculum ‼️👉 The Market Isn't Waiting. Neither Should You.Here's what's happening right now:📊 91% of business leaders say AI agent skills will be critical for competitive advantage within 3 years📊 AI-related skills demand has grown 109% year-over-year — faster than any other category🔥 What This Bootcamp Actually Solves:→ "I've watched 47 YouTube tutorials and still can't build anything real"→ "I know LangChain exists but I don't know how the pieces connect" — You'll architect multi-agent systems using LangChain, LangGraph &amp; MCP→ "How do I actually monetize this?" — You'll walk out with a portfolio-ready, client-demo-ready deployed AI agent system.🎓 YOU GRADUATE WITH:✅ A fully deployed AI agent system — live on the cloud, on YOUR domain✅ Multi-agent orchestration skills (LangChain + LangGraph + MCP)✅ Agentic RAG pipelines with vector databases (Pinecone, ChromaDB, Qdrant)💡 This isn't a "learn the concepts" course.⌨️ Every single class is live. Every single topic is code-along. You open your editor, I open mine. we build together, line by line, concept by concept. Every step is discussed in depth &amp; coded in real-time during the class.

The AI Agent Architect: Learn, Build, & Deploy Agentic AI App in 8 weeks

Build and deploy an Agentic AI application on AWS Cloud

Build Agentic RAG pipeline &  Agentic AI Apps using LangChain,  LangGraph & MCP

Develop context-aware Retrieval-Augmented systems for smarter interactions

Build a full stack front-end and back-end for your AI application

Launch your AI-powered product or service and showcase it to stakeholders

Transition from developer/enthusiast to AI architect and innovator

Developers &amp; EngineersBuild and deploy AI Applications &amp; fast-track careers into one of the most in-demand and high paying in tech

Entrepreneurs &amp; Founders Aiming to launch AI-powered SaaS products, automate workflows, or integrate intelligent agents into their business

Product ManagersLooking to lead AI-driven product development, understand agent architecture &amp; collaborate effectively with technical team

Master LangChain, LangGraph, CrewAI, AutoGen, Agentic RAG, and MCP — and create the intelligent, autonomous AI systems defining the future.

AI Engineer & Tech Entrepreneur

AI Engineer & Tech Founder with 20+ Years of IT & 9+ years in DS/ML/AI  

From Curious to CapableYou’ll go from just exploring GenAI to confidently building smart AI Agents that take real actions to solve real problems &amp; create a big impact.From Developer to AI BuilderYou won’t just prompt—you’ll architect AI systems using LangChain, CrewAI, LangGraph, AutoGen, Agentic RAG, MCP servers and custom tool integrations, such as Slack, Gmail, Trello etc.From Idea to ExecutionWhether you're a founder or product manager, you’ll learn how to take a product idea involving AI agents, transform into a working MVP &amp; shipping an enterprise solution.From Learning to EarningYou’ll walk away with a deployable AI Agent that can be integrated into a SaaS product, internal tool, or offered as a consulting service.From Theory to DeploymentYou’ll master not just building, but deploying your AI agent to production using Docker and AWS —job-ready skills that is in great demand right now.From Individual to InnovatorYou’ll gain the clarity, confidence, and capability to build products &amp; lead AI initiatives, pitch agent-based solutions, and create value.

Agentic AI Engineering Bootcamp: From ChatGPT User to AI Architect

Master GenAI & agent-centric workflows using modern frameworks

Developers &amp; Professionals Pivoting into AIBuild &amp; deploy AI Agents; fast-track careers into the most in-demand and high paying tech domain

Entrepreneurs &amp; FoundersAiming to launch AI-powered SaaS products, automate workflows, or integrate intelligent agents into their business

Product ManagersLooking to lead AI-driven product development, understand agent architecture &amp; collaborate effectively with technical team

Build RAG System with LangChain

Tech Founder AI Agent Cafe

Understand the core concepts behind RAG and why it’s essential for building accurate, real-world AI applications.

How Retrieval-Augmented Generation (RAG) Works

Learn how to combine documents, embeddings, vector stores, and LLMs into a working RAG system.

How to Build RAG Pipelines Using LangChain

Integrate ChromaDB with LangChain to store embeddings and run semantic similarity search for RAG.

How to Use ChromaDB as a Vector Store for RAG

Agentic AI in 60 Minutes: Python, LangChain & CrewAI

Specific Python concepts - variables, functions, dictionaries, and loops, that you'll use daily when building AI agents.

Python Essentials That Actually Matter for AI

Learn to connect Python to LLMs like ChatGPT & Claude, write prompts, get outputs, & unlock real AI capabilities.

Using LangChain  Learn How Your Code Talks to AI Models

You'll see how the Python powers autonomous agents that collaborate, make decisions, and complete complex tasks.

Learn directly from Nitin Monga

Nitin Monga

About Nitin

Courses