
ChatGPT and LangChain: The Complete Developer's Masterclass
>_ What You'll 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
>_ Requirements
- Basic programming experience with Python
/ Course Details & Curriculum
- Building complex text generation pipelines that incorporate outside information
- Creating reusable configuration components that can be reassembled in different ways
- Applying user feedback (like upvotes/downvotes) to enhance ChatGPT's output
- Wiring in observability and tracing to see how users are interacting with your AI
- Generate text performantly using distributed processing
- Understand how complex text-generation pipelines work
- Write reusable code using chains provided by LangChain
- Connect chains together in different ways to dramatically change your apps behavior with ease
- Store, retrieve, and summarize chat messages using conversational memory
- Implement semantic search for Retrieval-Augmented Generation using embeddings
- Generate and store embeddings in vector databases like ChromaDB and Pinecone
- Use retrievers to refine, reduce, and rank context documents, teaching ChatGPT new information
- Create agents to automatically accomplish tasks for you using goals you define
- Write tools and plugins to allow ChatGPT to access the outside world
- Maintain a consistent focus on performance through distributed processing using Celery and Redis
- Extend LangChain to implement server-to-browser text streaming
- Improve ChatGPT's output quality through user-generated feedback mechanisms
- Get visibility into how users interact with your text generation features by using tracing
Author and Instructor
Stephen Grider
Expert at Udemy
With years of hands-on experience in IT & Software, Stephen Grider has dedicated thousands of hours to teaching and mentorship. This course is the culmination of industry best practices and a proven curriculum that has helped thousands of students transition into professional roles.
Community Feedback
Michael Chen
Verified Enrollment
"This ChatGPT and LangChain: The Complete Developer's Masterclass course was exactly what I needed. The instructor explains complex IT & Software concepts clearly. Highly recommended!"
Sarah Johnson
Verified Enrollment
"I've taken many Udemy courses on Python programming & back-end development, but this one stands out. The practical examples helped me land a job."
David Smith
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"Great value for money. The section on LangChain was particularly helpful."
Emily Davis
Verified Enrollment
"Excellent structure and pacing. I went from zero to hero in IT & Software thanks to this course. Lifetime access is a huge plus."
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