You’ve found the most advanced, most complete, and most intensive masterclass online for learning how to integrate LangChain and ChatGPT into production-ready applications!
Thousands of engineers have learned how to build amazing applications using ChatGPT, and you can too. This course uses a time-tested, battle-proven method to make sure you understand exactly how ChatGPT works, and is the perfect pathway to help you get a new job as a software engineer working on AI-enabled apps.
The difference between this course and all the others: you will go far beyond the basics of simple ChatGPT prompts, and understand how companies are integrating text generation into their apps today.
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ChatGPT is being used across industries to enhance applications with text generation. But with this new feature comes many challenges:
- 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
This course will walk you through production-ready, repeatable techniques for addressing each of these challenges and many more.
What will you build?
This course focuses on creating a series of different projects of increasing complexity. You’ll start from the very basics, understanding how to access ChatGPT 4 programatically. From there, we will quickly increase in complexity, building more complex projects with many more features. By the end, you will make a fully-featured web app that implements a “Chat-with-a-PDF” feature. Note: no previous web development experience is required.
Here’s a partial list of some of the topics you’ll cover:
- 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
There are a ton of courses that show how to use ChatGPT at a very basic level. This is one of the very few courses online that goes far beyond the basics to teach you advanced techniques that top companies are using today. I have a passion for teaching topics the right way – the way that you’ll actually use technology in the real world. Sign up today and join me!
