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Claude Code
Claude Code course updated for Fable 5.1: slash-command cheatsheet, modules 1 and 2 free
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Introduction to AI
Discover what AI really is
Python for AI
NumPy, pandas and scikit-learn
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Learn how machines learn from data
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Neural networks from the ground up
Large Language Models
How GPT and friends actually work
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đ Discovery Documentation
Introduction to AI
What artificial intelligence is, and what it is not
Python for AI
NumPy, pandas and the scientific ecosystem
Mathematics for AI
Vectors, gradients, probability and metrics
Machine Learning
Supervised, unsupervised and honest evaluation
Deep Learning
Neurons, depth, convolutions and transformers
Natural Language Processing
Tokenization, embeddings and NLP tasks
Computer Vision
What a machine sees, and what it misses
Generative AI
Diffusion, text generation and what works
Large Language Models
How they work, RAG, agents and production
MLOps
Deployment, reproducibility and monitoring
Cloud AI
What you rent, what it costs, what locks you in
AI Ethics
Bias, fairness, explainability and accountability
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PyTorch
From tensors to production
TensorFlow & Keras
Build and train models
Transformers & Attention
The architecture behind modern AI
Large Language Models
Train, evaluate and deploy an LLM
RAG Systems
Retrieval, vector stores and grounding
Model Fine-tuning
LoRA, QLoRA and full fine-tuning
MLOps â Complete
CI/CD, registries, serving and monitoring
AWS SageMaker
Train and deploy at scale
AI Agents
Models that plan and use tools
FastAPI for ML
Serve a model behind a production API
Claude Code & Slash Commands
Agentic development from A to Z: commands, skills, hooks, MCP
Elasticsearch, Kibana & Neo4j
Search and graphs in practice: Query DSL, Kibana, OpenSearch, Cypher, recommendation
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