Courses
ChatGPT Prompt Engineering for Developers
Learn prompt engineering best practices for application development from OpenAI and DeepLearning.AI. Free short course by Isa Fulford and Andrew Ng.
LangChain for LLM Application Development
Learn to build LLM-powered applications using LangChain framework. Covers chains, memory, agents, and evaluation.
Building RAG Agents with LLMs
Learn to build Retrieval-Augmented Generation agents that can answer questions using external knowledge sources.
Generative AI with Large Language Models
Comprehensive course on LLM lifecycle including training, fine-tuning, inference optimization, and deployment at scale.
Hugging Face NLP Course
Free course covering Transformers library, NLP tasks, fine-tuning models, and building NLP applications.
Hugging Face Deep RL Course
Learn deep reinforcement learning from beginner to expert. Covers Q-learning, policy gradients, PPO, and more.
Building AI Applications with Haystack
Learn to build production-ready LLM applications with Haystack, including RAG pipelines, agents, and semantic search.
Practical Deep Learning for Coders
Fast.ai's flagship course teaching deep learning through practical coding. Covers vision, NLP, tabular data, and deployment.
Stanford CS224N: NLP with Deep Learning
Stanford's comprehensive NLP course covering word vectors, transformers, pretraining, and modern NLP architectures.
Stanford CS231N: Deep Learning for Computer Vision
Stanford's deep learning for computer vision course. Covers CNNs, object detection, segmentation, and generative models.
MIT 6.S191: Introduction to Deep Learning
MIT's introductory deep learning course with hands-on labs. Updated annually with latest advances in AI.
Full Stack LLM Bootcamp
Learn to build, deploy, and scale LLM-powered applications. Covers prompt engineering, RAG, fine-tuning, and production deployment.
Machine Learning Specialization
Andrew Ng's updated ML course covering supervised learning, neural networks, decision trees, and unsupervised learning.
Google Machine Learning Crash Course
Google's fast-paced, practical introduction to machine learning with TensorFlow APIs and hands-on exercises.
Stable Diffusion Tutorial
Learn to generate AI art with Stable Diffusion. Covers prompting, ControlNet, LoRA training, and ComfyUI workflows.
Weights & Biases ML Course
Free courses on ML experiment tracking, LLM evaluation, CI/CD for ML, and building with LLMs from the W&B team.
MLOps Zoomcamp
Free MLOps course covering experiment tracking, orchestration, model deployment, and monitoring.
Kaggle Learn
Free micro-courses on Python, ML, deep learning, SQL, computer vision, NLP, and feature engineering with hands-on exercises.
AI for Everyone
Non-technical introduction to AI by Andrew Ng. Learn what AI can and cannot do, and how to navigate an AI-powered world.
OpenAI Cookbook
Collection of examples and guides for using OpenAI API. Covers embeddings, fine-tuning, function calling, and assistants.
Anthropic Prompt Engineering Guide
Official guide to prompt engineering with Claude. Covers techniques for getting the best results from Claude models.
LLM University by Cohere
Comprehensive curriculum covering LLM fundamentals, text embeddings, semantic search, RAG, and prompt engineering.