LangChain Bootcamp Course: Build Real LLM Apps With Python

About this course

This course contains the use of artificial intelligence.

Stop gluing API calls together. Start building AI applications that actually hold up.

If you can write basic Python and you've called an LLM API at least once, this course takes you from scattered scripts to a real, production-style LangChain application — step by step, with runnable code in every lecture.

This course is for you if:

• You know basic Python but have never used an LLM orchestration framework
• You've built a simple API call to OpenAI/Gemini but it breaks down past one step
• You want to build a chatbot, document Q&A tool, or data extractor the right way
• You're tired of tutorials using outdated, broken LangChain code
• You want a real project for your developer portfolio, not another toy demo

What you will learn:

• Build reusable PromptTemplate and ChatPromptTemplate objects
• Compose multi-step chains using LangChain Expression Language (LCEL)Force reliable, structured JSON output with output parsers
• Control and debug data flow through complex chains
• Add memory so your application remembers previous context
• Build a full retrieval-augmented generation (RAG) application over your own documents
• Understand when to use a chain vs. an agent vs. LangGraph
• Build a simple tool-calling agent
• Handle parsing failures and errors gracefully in production-style code
• Deploy and structure a LangChain project the right way from day one

Requirements:

Basic Python knowledge (functions, classes, pip installs)An API key from an LLM provider (OpenAI, Gemini, or similar — free tiers available)No prior AI/ML or LangChain experience needed

Final project: You w

Prices, discounts and availability are set by Udemy. We may earn a commission when you purchase through links on this site.