16 LLM Courses for Learning Artificial Intelligence
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LangChain for LLM Application Development
Learn LangChain directly from the creator of the framework, Harrison Chase.
LLMOps
Adapt an open source pipeline that applies supervised fine-tuning on an LLM to better answer user questions.
Preprocessing Unstructured Data for LLM Applications
Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, Word, and HTML files, tables, and images to expand the information accessible to your LLM.
Quality and Safety for LLM Applications
Monitor and enhance security measures over time to safeguard your LLM applications.
Red Teaming LLM Applications
Learn to identify and evaluate vulnerabilities in large language model (LLM) applications.
Automated Testing for LLMOps
Learn how LLM-based testing differs from traditional software testing and implement rules-based testing to assess your LLM application.
Build LLM Apps with LangChain.js
Understand the fundamentals of using LangChain’s JavaScript library to orchestrate and chain different modules together.
Efficiently Serving LLMs
Learn how Large Language Models (LLMs) repeatedly predict the next token, and how techniques like KV caching can greatly speed up text generation.
Serverless LLM apps with Amazon Bedrock
Learn how to prompt and customize your LLM responses using Amazon Bedrock.
AI for Efficient Programming: Harnessing the Power of LLMs
You'll learn the basics of AI's potential for efficient programming, the ethics of AI use, and how different LLMs work for common coding tasks.