ChatGPT and LangChain: The Complete Developer's Masterclass
Intensive masterclass on ChatGPT, LangChain, and Python. Make production-ready apps focused on real-world AI integration
4.68 (3189 reviews)
25 070
students
12 hours
content
May 2025
last update
$99.99
regular price
What you will learn
Integrate ChatGPT into production-style apps with LangChain
Use LangChain components to build complex text generation pipelines
Enhance ChatGPT's output by automatically integrating user feedback
Teach ChatGPT new facts through Retrieval Augmented Generation
Extend LangChain to implement server-to-browser text streaming
Use OpenAI Plugins to add new capabilities to ChatGPT, such as database access and code execution
Understand every line of code we write so you can use these exact same techniques on your own projects
Build your own chat-with-a-PDF web application, complete with document upload and authentication
See how users interact with your chat features using observability and tracing
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Our Verdict
This masterclass stands out with its comprehensive approach to integrating LangChain and ChatGPT, diving deep into complex text generation pipelines. While the quickly evolving nature of LangChain can cause version discrepancies and challenges in applying base knowledge, the course still offers excellent foundational understanding and valuable, hands-on projects. Though the coverage is primarily on OpenAI LLMs, it's worth noting that this Masterclass could be extended with chapters related to other providers' language models.
What We Liked
- In-depth exploration of LangChain and how to integrate it into production-style apps with ChatGPT.
- Covers creating complex text generation pipelines, enhancing output with user feedback, teaching ChatGPT new facts, and implementing server-to-browser streaming.
- Detailed code walkthroughs, clear explanations of schema, and useful theory explanation alongside code examples.
- Practical example: building a chat-with-a-PDF web application.
Potential Drawbacks
- Differences between covered LangChain versions (0.1 and 0.2) may cause challenges, with deprecated functions making it difficult to apply the base knowledge.
- Course material becomes outdated quickly due to the rapid pace of LangChain development.
- Limited variety in large language models used; only OpenAI LLMs are covered.
- Focus on a specific library may not appeal to those looking for an architecture-focused approach instead.
5601166
udemy ID
09/10/2023
course created date
19/10/2023
course indexed date
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