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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- 157open courses
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- 15ecosystems
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AI Engineering Ecosystem
This learning path is designed to help you develop the skills you need in the field of AI Engineering.
In order, from fundamentals to production. Start at 1.
34 courses
Python Essentials Guide
Learn Python from scratch with the approach of someone who is going to build backends and AI applications.
Beginner21 lessonsPython Typing And Pydantic
A type annotation in Python is a label, not a lock.
Beginner64 lessonsGit & GitHub Guide
Master version control with Git and collaborative development with GitHub, from your first commit to production CI/CD…
Intermediate105 lessonsAI Fundamentals Guide
Build a solid conceptual foundation in Artificial Intelligence, from ML basics and neural networks to Transformers…
Beginner56 lessonsFastAPI Fundamentals Guide
This guide teaches you FastAPI from installation all the way to building a complete CRUD API.
Beginner30 lessonsDocker Essentials Guide
Master Docker for AI applications.
Beginner64 lessonsLLM Access Strategies Guide
Learn to choose the optimal LLM access strategy for any project (cloud APIs, local models, multi-provider aggregators…
Beginner64 lessonsBuilding with LLMs in Code
Integrate an LLM into a real product from code, not from an experimentation notebook.
Advanced64 lessonsLocal 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 lessonsEmbeddings Deep Dive Guide
Master embeddings for production AI.
Beginner64 lessonsVector Databases Fundamentals Guide
Learn how vector databases work under the hood, why you need them for RAG systems, and how to choose the right one for…
Beginner67 lessonsAdvanced RAG Techniques Guide
Master advanced Retrieval-Augmented Generation patterns for production AI systems.
Intermediate64 lessonsAdvanced Prompt Engineering Guide
Master the prompt engineering techniques that separate casual LLM users from production AI engineers.
Intermediate64 lessonsContext Engineering
This guide treats a model call's context window for what it actually is.
Intermediate64 lessonsLangChain & LangGraph: From Chains to Agents
Learn to build production-ready AI agents and workflows with LangChain and LangGraph.
Intermediate96 lessonsBuilding AI Agents Guide
Master the complete lifecycle of building AI agents — from tool calling and function calling patterns to state machines…
Intermediate80 lessonsMcp Deep Dive
Learn the Model Context Protocol (MCP) in its current revision, `2026-07-28`, by building by hand the MCP server and…
Beginner64 lessonsLong-Running Agents: the Harness
An agent that answers a question fits in one session.
Advanced64 lessonsEvaluation Frameworks Guide
Your LLM assistant already answers users.
Advanced64 lessonsAI Multimodal Guide
Master multimodal AI.
Intermediate64 lessonsProduction Best Practices Guide
Master the engineering practices that separate AI prototypes from production systems.
Intermediate64 lessonsCI/CD for AI Systems Guide
Automate the delivery cycle of AI systems with GitHub Actions.
Advanced64 lessonsDeployment & Cloud Infrastructure Guide
Master deployment strategies for AI systems.
Advanced64 lessonsMonitoring & Observability Guide
Master the observability of AI systems in production with OpenTelemetry, the open instrumentation standard.
Advanced64 lessonsCost Optimization & Caching Guide
Master cost reduction for AI systems.
Advanced64 lessonsAI Gateways and Model Routing
When a company has several apps, several teams and more than one model provider, calling each API directly stops working.
Advanced64 lessonsSecurity Deep Dive Guide
Secure your AI systems in production with OWASP's two risk maps for generative AI.
Advanced64 lessonsSystem Design & Scaling Guide
Learn to think about the architecture of an AI system.
Advanced64 lessonsAI Ethics & Compliance Guide
Learn AI ethics and regulatory compliance.
Advanced64 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 lessonsDeploy an AI Project on LocalStack
Deploy a complete AI engineering application on LocalStack, an AWS emulator that runs in your Docker — $0 in…
Intermediate74 lessons