The whole catalog, ecosystem by ecosystem
Complete, self-paced guides ordered into ecosystems that run from fundamentals to production. Each ecosystem is built from what real job postings actually ask for.
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AI Engineering 4: Specializations
Fourth track of the AI Engineering ecosystem: electives to go deeper after tracks 1 to 3. Pick one or two: local models, long-running agents, multimodal, voice and real time, computer use, fine-tuning, search and recommendation, GenAI on AWS, production RAG with document ingestion, TypeScript, and working with coding agents.
In order, from fundamentals to production. Start at 1.
12 courses
Local Models for Engineers: From GGUF to Production
You already know how to start a model on your machine and call it through an API.
Intermediate64 lessonsLong-Running Agents: the Harness
An agent that answers a question fits in one session.
Advanced64 lessonsAI Multimodal Guide
Master multimodal AI.
Intermediate64 lessonsVoice and Realtime Agents
A chat waits for you to finish typing.
Advanced64 lessonsComputer Use and Browser Agents
Many systems a business depends on have no API.
Advanced64 lessonsFine-Tuning and Distillation for LLMs
Fine-tuning a model means changing its weights with your own examples so it does a task in a fixed way without needing…
Advanced64 lessonsLLM Search and Recommendation
A store's search box and its "you may also like" section are product.
Advanced64 lessonsGenai On Aws Production
Learn to operate generative-AI workloads on AWS.
Advanced64 lessonsProduction RAG and Document Ingestion
This guide builds the data plumbing of a production RAG system on top of real Reservo documents.
Intermediate64 lessonsTypeScript Essentials
TypeScript applied end to end.
Beginner96 lessonsAI Apps in TypeScript
Tu equipo ya trabaja en TypeScript y ahora quiere un asistente de IA dentro del producto.
IntermediateWorking with Coding Agents
Learn to direct coding agents as a professional craft, not improvisation.
Advanced48 lessons