Agentic AI Projects: FastAPI, MCP, AWS Deploy & Gemini 3

About this course

Welcome to the most comprehensive Agentic AI projects course on Udemy for 2026 — focused on building, deploying, and scaling real-world AI agents in production.

Learn to architect and ship 10 production-grade AI Agent projects using LangChain v1, LangGraph, Google Gemini 3, MCP (Model Context Protocol), FastAPI, Streamlit, and AWS EC2 — the exact stack powering the next generation of autonomous AI systems.

This course is not another "build a chatbot" tutorial. It is the production deployment companion you need after learning LangChain fundamentals. Every module ends with working, deployable code you can adapt for your own product, client, or portfolio.

Who is teaching this courseI'm Laxmi Kant Tiwari, founder of KGP Talkie, with over a decade of AI and Machine Learning industry experience including senior AI engineering at Linedata. I've taught 160,000+ students across YouTube and Udemy, and I build and deploy the exact systems I teach. No fluff, no filler, no recycled Medium articles — just production-grade code and architecture you can ship.

The 10 Production AI Agent Projects You Will BuildLive Hotel Search Agent — Airbnb MCP server integration with real-time search

Travel Planner Agent — Google Calendar MCP with memory and multi-tool orchestration

Code Execution Agent — Secure E2B sandbox for data analysis (Apple, Google, IMDB, Titanic datasets)Google Sheets + Finance Analyzer Agent — Yahoo Finance MCP with Sheets read and write

Gmail Daily Briefing Agent — Automated email summarization and action extraction

Personal AI Assistant on AWS EC2 — LangChain Agent Chat UI dep

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