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What you'll learn
✓Become proficient in LangChain
✓Have end to end working LangChain based generative AI agents
✓Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
✓Context Engineering
✓Understand how to navigate inside the LangChain opensource codebase
✓Large Language Models theory for software engineers
✓LangChain: Lots of chains Chains, Agents, DocumentLoader, TextSplitter, OutputParser, Memory
✓RAG, Vectorestores/ Vector Databases (Pinecone, FAISS)
✓Model Context Protocol (MCP)
✓LangGraph
Requirements
•This is not a beginner course. Basic software engineering concepts are needed
•I assume students will be familiar software engineering subjects such as: git, python, pipenv, environment variables, classes, testing and debugging
•No Machine Learning experience is needed.
Description
Frequently Asked Questions
Student Feedback
4.6
★★★★★
Course Rating
75%
15%
5%
5%
5%
S
Sarah J.
★★★★★2 weeks ago
This course was absolutely amazing! The instructor explained everything clearly and the projects were very helpful.
M
Michael T.
★★★★1 month ago
Great content, highly recommended for beginners. Just wish there were more practice exercises.
D
David K.
★★★★★2 months ago
Best course on this topic I've taken so far. Worth every penny (even better since I got it for free!).
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