Courses

35 project-based AI engineering courses and builds, organised into 6 career paths. A course is a stage in a path; a build is self-contained. The catalog contains 1112 lessons and 958 hands-on labs; the opening phases of 29 of 35 courses are free with no credit card.

Courses (27)

Sequenced stages, from fundamentals to production AI systems. See which path each one belongs to.

• ML & AI Engineering — From Python basics to production ML and AI systems
• Agentic AI Engineering — Design, build, evaluate, and deploy production-grade AI agents
• AI Security & Red Teaming — Secure, red-team, and defend production AI systems
• Forward Deployed AI Engineering — Embed inside enterprise clients, scope ambiguous problems, ship production AI on their infrastructure
• Voice & Conversational AI Engineering — Build, deploy, and optimize production-grade real-time voice AI agents
• Generative Media Engineering — Build, orchestrate, and deploy production-grade generative media pipelines
• AI Product Management — Ship AI features people trust, from opportunity to launch
• Testing AI-Written Code — Verify, test, and ship code from AI coding assistants with confidence
• Responsible AI Engineering — Build a deployable AI audit toolkit: bias detection, explainability, privacy and governance in one pipeline
• Math for AI & ML — The math behind every ML algorithm, built in code rather than on paper
• Core ML: Algorithms from Scratch — Build every classic ML algorithm by hand, then verify against scikit-learn
• Deep Learning from Scratch — Build your own mini PyTorch: autograd, layers and training loops from the ground up
• Transformers & LLMs from Scratch — Pre-train a real 124M parameter GPT: tokenizer, data pipeline, training and evaluation
• Computer Vision Engineering — From convolutions to ViTs. Build models that see
• NLP & Speech Processing — From word embeddings to voice AI. Build models that understand language
• Generative AI Fundamentals — From GANs to diffusion to flow matching. Build and customize generative AI systems
• Reinforcement Learning — From bandits to RLHF. Build agents that learn by doing
• Multimodal AI Systems — From CLIP to GPT-4V. Build models that see, hear and read
• Programming & CS Foundations — How to think like a programmer, from zero, before any AI or math content
• Engineering Practices & Tooling — The Missing Semester for AI Engineers: git, the command line, APIs and the craft real jobs assume you have
• Quantitative Foundations — Algebra, functions and the math comfort you need before Math for AI & ML
• Data Analysis & Visualization — pandas, NumPy, and the daily skill of turning real messy data into an answer
• LLM Inference & Production Infrastructure — Serve a model in production: paged attention, continuous batching, quantization, goodput, and the cost per million tokens
• Autonomous Agents & Frontier Safety — Agents that run for hours, rewrite their own code, and have to be stoppable: autonomy, self-improvement, containment, and governance
• Multi-Agent Systems & Swarms — When a second agent earns its cost, which topology to use, how agents reach agreement, and how multi-agent systems fail
• AI Engineering Capstone Projects — Seventeen complete systems to build and ship: coding agents, production RAG, voice, video, fine-tuning, observability, and safety
• AI Systems Build Tracks — Eight systems built one tested piece at a time: an agent harness, a research agent, a VLM, advanced RAG, an eval runner, pretraining and distributed training, and a safety gate

Builds (8)

Short and self-contained — ship one working thing.

• Prompt Engineering Mastery — Get better results from any AI, at work or on your own projects
• Vibe Coding — Build real apps with AI. Describe, review, debug and ship without writing code from scratch
• Build Your First AI Agent from Scratch — A weekend build: a terminal agent that plans, calls tools and remembers. No frameworks
• Build Your Own MCP Server — Give Claude access to your own data and tools. No framework required
• Build an Autonomous Coding Agent — Your own Claude Code: plan, edit, test and commit, built from scratch
• Build a Multi-Agent Research Team — 5 specialist agents, 3 running in parallel, one cited report
• Master Claude Code for Production Shipping — CLAUDE.md, hooks, subagents and CI, configured on your own real repo
• Security Review for Vibe Coders — The 5 checks, and the exact prompts, that stop a vibe-coded app becoming a breach headline

Create a free account — the opening phases of 29 of 35 courses are free, no credit card. Or see Pro pricing.

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