Skip to content

PRO TIP Block youtube.com at the DNS level โ€” Pi-hole, NextDNS or your hosts file โ€” but allow youtube-nocookie.com and i.ytimg.com. These tutorials keep playing; the rabbit hole does not.

Learning without distractions

FastAPI Full Crash Course with GenAI & LangChain | Build & Deploy an AI Agent as a REST API (2026)

11K views on YouTube

In this complete FastAPI + GenAI crash course, you’ll learn everything from the absolute basics of APIs to building and deploying a real AI Agent as a REST API!

๐Ÿ”ฅ What you’ll learn:
โœ… What is an API & how Frontend-Backend-Database communication works
โœ… HTTP Protocol, Routes, Path Params & Query Params explained
โœ… HTTP Methods (GET, POST, PUT, DELETE) & CRUD Operations
โœ… Building a complete Product CRUD API using FastAPI
โœ… Data validation using Pydantic (DTOs & Schemas)
โœ… HTTP Status Codes & Custom Exception Handling
โœ… Sending Emails from FastAPI using FastAPI-Mail
โœ… Running long tasks efficiently using Background Tasks
โœ… Introduction to Generative AI & Large Language Models (LLMs)
โœ… Connecting LLMs using LangChain
โœ… Using Groq API for ultra-fast, free LLM inference
โœ… Building an AI Agent with Tools (Google Search integration)
โœ… Deploying your AI Agent as a REST API using LangServe
โœ… Connecting your Agent to LangGraph Studio & Agent Chat UI

By the end of this video, you’ll have built a fully functional GenAI-powered REST API โ€” combining traditional backend development with modern AI Agent architecture.

โฑ๏ธ Timestamps:
00:00 Introduction
02:10 Frontend vs Backend Explained
08:24 HTTP, Routes, Ports & CRUD Basics
15:23 FastAPI Installation & Setup
29:14 Building the Product CRUD API
44:24 Path Params & Query Params
52:25 HTTP Status Codes & Error Handling
01:01:45 Pydantic DTOs and Complete CRUD Apis
01:32:57 Sending Emails via FastAPI-Mail
01:52:19 Background Tasks in FastAPI
02:03:33 What is Generative AI & LLMs?
02:10:32 Connecting LLMs with LangChain & Groq
02:26:00 What is an AI Agent?
02:32:15 Building an Agent with Tools
02:37:52 Deploying Agent as REST API (LangServe)
02:47:50 Connecting to Agent Chat UI
02:50:04 Final Recap

๐Ÿ“Œ Tech Stack Used: Python, FastAPI, Pydantic, FastAPI-Mail, LangChain, Groq API, LangServe, LangGraph

๐Ÿ‘‰ If you found this helpful, don’t forget to LIKE, SHARE & SUBSCRIBE to Tech Plus Learnings for more hands-on tutorials on Python, Backend Development & Generative AI!

#FastAPI #LangChain #GenerativeAI #Python #BackendDevelopment #AIAgents #Groq #RESTAPI #TechPlusLearnings #genai #gemini #agent #agenticai #crashcourse #fastapitutorial