Build AI Chatbots with LangChain & RAG

Build production-ready chatbots using RAG and LangChain. Learn how to create smart chats that can work with real data.

Inspired by real-world solutions built for major clients (who’ve paid thousands of euros!).

Video icon 2 Modules • 13 Lessons

 

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  • What You Will Learn

  • âś“ Building AI Chat Systems: How to develop a professional AI assistant from scratch using GPT‑o3 and Retrieval Augmented Generation (RAG).
  • âś“ Integrating Your Own Data: Storing data in a vector store and using it for context-aware responses.
  • âś“Real-Time Streaming: Delivering live chat responses—similar to ChatGPT—to a web application.
  • âś“Deployment & Scaling: Bringing the completed AI assistant online and using it in real-world projects.

Course Content

2 Modules • 13 Lessons

EinfĂĽhrung

  • 🎬 Intro (01:44)
  • 🎬 Part 1: RAG Concepts, Splitting, and In-Memory Vector Store (08:07)
  • 🎬 Part 2: Augmenting Queries with Context from an In-Memory Vector Store (03:29)
  • 🎬 Part 3: Moving to a Production-Ready Vector Store (04:40)
  • 🎬 Part 4: Building an API Endpoint with Flask (05:33)
  • 🎬 Part 5: Real-Time HTTP Streaming (03:15)
  • 🎬 Part 6: Creating a Web Chat Interface (03:01)
  • 🎬 Part 7: Adding Short-term Memory (03:10)
  • 🎬 Part 8: Deployment on Render (01:42)
  • 🎬 Part 9: Building a Beautiful Web Client with V0 (04:51)

More Learnings

  • 🎬 DeepSeek R1: Build a Talking Smarter-Than-You AI Girlfriend (12:08)
  • 🎬 Build a Chatbot App with DeepSeek V3 (08:00)
  • 🎬 Unlocking Gemini 2.0: From Simple Calls to Spoken Responses (08:39)

Requirements

  • Beginner programming knowledge - If you can write a simple function and understand variables, you're ready
  • Basic understanding of web requests - We'll guide you through all the API connections step by step
  • A modern computer - Any laptop from the last few years will work perfectly fine
  • Curiosity about AI - No prior machine learning or AI experience needed

Don't worry if you're new to coding! We explain everything from the ground up and provide all the source code you need.

Description

What You’ll Learn

  • Complete AI Chat Pipeline: Build an end-to-end AI assistant—from data ingestion and vector storage to streaming chat responses.

  • Loading & Splitting Documents: Master how to handle all kinds of documents and properly split them for maximum effectiveness.

  • Choosing the Right Embeddings: Discover how to pick the best embeddings to ensure high success rates in similarity search.

  • Real-Time Streaming: Implement live chat responses, just like ChatGPT, using Python, Flask, and modern frameworks.

  • Frontend in Minutes: Rapidly develop sleek web clients with Vercel’s V0 and React—no extensive frontend expertise needed.

  • AI Pair Programming: Boost your coding speed and accuracy by integrating tools like Cursor into your workflow.

  • Advanced Topics: Delve into short-term memory, embedding selection strategies, and other pro-level techniques you won’t find in standard AI courses.

  • Seamless Deployment: Push your application to a live environment (e.g., Render) so clients or end users can start interacting with it immediately.

Key Features & Benefits

  • 9 In-Depth Modules: Covering every aspect of AI chat development—from concept to production.

  • Real-World Examples: Modeled after successful implementations for enterprise clients and startups.

  • Hands-On Tutorials: Follow along with clear, step-by-step instructions and practical code demos.

  • Proven Strategies: Learn deployment best practices and how to handle large-scale data.

  • Expert Guidance: Created by a senior developer with 20+ years of experience and a popular “AI for Devs” YouTube channel.

Who this course is for:

  • Junior and advanced developers looking to enhance their skills in AI development.
  • Software engineers who want to implement AI chat projects in real-world environments.
  • Freelancers and tech leads interested in efficiently planning, programming, and deploying AI chat systems.
  • Anyone who wants to build a professional AI assistant, rather than just a simple “Hello World” example.

Learn from an AI Development Expert

Hi, I'm Sebastian Schlaak, founder of AI-for-Devs.

With a Master’s degree in Informatics and over 15 years of experience in software and AI development, I specialize in helping developers build practical, production-ready AI systems.

My courses are designed to bridge the gap between theory and implementation. Whether you're working with OpenAI, LangChain, or open-source models like Llama, I focus on giving you the tools, code, and confidence to ship real-world applications.

Join 1,000+ developers who’ve used these methods to launch AI tools, streamline workflows, or kick off entirely new product ideas.

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