The NLP Course is becoming the LLM Course
In-depth article on career advice.
Curated paths
Pick a trackFoundation Sprint
Tutorials + articles for fast ramp
Systems & Architecture
Design decisions and tradeoffs
Agentic Workflows
Planning, tools, memory patterns
Production Readiness
Evaluation, monitoring, deployment
AI Career Lab
Put learning into action with our career tools.
Browse by focus
Start with a level, then refine by format or deep dive.
Levels
Formats
Deep dives
Career prep
Start here for the quickest ramp from concepts to working systems.
Learn planning, tool use, memory design, and orchestration patterns.
Ship safely with evaluation, latency tuning, and reliability playbooks.
Contribute
Share it with the community and help others build better AI.
Resource list
In-depth article on career advice.
Structured course covering architecture.
Structured course covering nlp.
Structured course covering architecture.
Structured course covering production, architecture.
Structured course covering transformers.
Structured course covering architecture, nlp.
Structured course covering architecture.
Structured course covering vision.
Structured course covering nlp, architecture.
Structured course covering architecture.
Structured course covering architecture.
Structured course covering architecture.
Structured course covering evaluation, production, mlops.
Structured course covering api, architecture.
Structured course covering fine tuning, production.
Structured course covering production, evaluation, mlops.
Structured course covering career advice.
Structured course covering rag, evaluation, production.
Structured course covering agents, rag.
Structured course covering architecture.
Course on ethical considerations in AI development, bias detection, fairness, and responsible AI practices.
Build and deploy production ML systems. Covers MLOps, testing, infrastructure, and team collaboration.
Foundational course on RL covering MDPs, Q-learning, policy gradients, and actor-critic methods.
Educational resource for learning deep reinforcement learning. Includes tutorials, papers, and code examples.
Master TensorFlow 2.0 for building and deploying ML models. Covers Keras, TF Lite, and TF.js.
Complete PyTorch course from basics to advanced. Build neural networks, CNNs, RNNs, and deploy models.
Definitive course on computer vision and CNNs. Covers image classification, detection, segmentation, and GANs.
Official course on prompt engineering by OpenAI and DeepLearning.AI. Learn to build with GPT models effectively.
Graduate-level NLP course covering word vectors, neural networks, attention, transformers, and question answering.
Complete course on NLP using transformers. Covers BERT, GPT, T5, and fine-tuning for various tasks.
MIT's intensive course on deep learning covering CNNs, RNNs, transformers, GANs, and reinforcement learning.
Top-down approach to deep learning. Start coding neural networks from day one. Uses PyTorch.
Andrew Ng's comprehensive deep learning course covering neural networks, CNNs, RNNs, and more. 5-course specialization.
Finland's free AI fundamentals course for non-programmers. Over 750,000 students. Covers AI basics, ethics, and...
MIT's introductory course on AI covering search, knowledge representation, machine learning, and neural networks.
Non-technical introduction to AI. Learn what AI can and cannot do, how to spot AI opportunities, and work with an AI...
Fast-paced, practical introduction to machine learning with TensorFlow. Includes video lectures, real-world case...