LangChain- Develop LLM powered applications with LangChain
Learn LangChain by building FAST a real world generative ai LLM powered application LLM (Python, Latest Version 0.3.0)
4.58 (28641 reviews)
100 355
students
11.5 hours
content
May 2025
last update
$109.99
regular price
What you will learn
Become proficient in LangChain
Have 3 end to end working LangChain based generative AI applications
Prompt Engineering Theory: Chain of Thought, ReAct, Few Shot prompting and understand how LangChain is build under the hood
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 Databasrs (Pinecone, FAISS)
Model Context Protocol
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Our Verdict
This LangChain-focused course developed by Eden Marco offers extensive content and real-world examples, making it a valuable resource for those interested in exploring AI engineering domain. While the instruction could benefit from increased thoroughness at times, the engaging and practical nature of the material sets this course apart. Students seeking to expand their understanding of LangChain and its applications with solid foundational concepts should consider enrolling, but be prepared to supplement learning with personal research as needed.
What We Liked
- In-depth coverage of LangChain and its applications, enabling a solid understanding of RAG development
- Hands-on experience with real-world examples, facilitating the application of learned concepts
- Valuable exposure to the latest open-source AI apps and tools like Pinecones, Faiss, Streamlight, Flask, and LangSmith
- Well-structured content that caters to both beginners and experienced developers, with clear explanations and real-world examples
Potential Drawbacks
- Occasionally lacking thorough instruction, leaving some students to seek additional resources for clarification
- Instructor's teaching pace can be fast, making it challenging to follow and absorb all the details in one sitting
- Minor issues with resource availability as mentioned in some testimonials, such as missing resources or outdated virtual environments
- Less experienced learners might face challenges when instructor skips certain details during example demonstrations
Related Topics
5281528
udemy ID
19/04/2023
course created date
30/04/2023
course indexed date
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