31 Courses on Artificial Intelligence by DeepLearning.AI
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Linear Algebra for Machine Learning and Data Science
Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems.
Machine Learning in Production
Design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment requirements.
Supervised Machine Learning: Regression and Classification
Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn.
Calculus for Machine Learning and Data Science
Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients.
LangChain for LLM Application Development
Learn LangChain directly from the creator of the framework, Harrison Chase.
Serverless LLM apps with Amazon Bedrock
Learn how to prompt and customize your LLM responses using Amazon Bedrock.
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.
Build LLM Apps with LangChain.js
Understand the fundamentals of using LangChain’s JavaScript library to orchestrate and chain different modules together.
Automated Testing for LLMOps
Learn how LLM-based testing differs from traditional software testing and implement rules-based testing to assess your LLM application.
Red Teaming LLM Applications
Learn to identify and evaluate vulnerabilities in large language model (LLM) applications.