Search across educators, skills, and resources.

Sebastian Raschka

Build a Large Language Model From Scratch · Intermediate

A hands-on path through building an LLM in code.

Skills

LLM internals, PyTorch, Model training

Mervin Praison

PraisonAI · Intermediate

A practical open-source builder path for learners who want agent patterns, examples, and tool integrations they can inspect directly.

Skills

AI agents, Multi-agent workflows, MCP, RAG, Open source

Aurelien Geron

Hands-On Machine Learning · Beginner to intermediate

One of the most useful hands-on books for classical ML plus neural network foundations.

Skills

Scikit-learn, TensorFlow, ML foundations, Deep learning

Hugging Face

Hugging Face Learn · Beginner to advanced

One of the best free ecosystems for learning open-source AI by building with models, datasets, spaces, agents, context engineering, and MCP workflows.

Topics

Agents, Context engineering, MCP, Transformers, Post-training, Open models

LangChain

LangChain Academy · Intermediate

Useful when you are ready to build multi-step LLM applications, agents, and graph-based workflows.

Topics

LangGraph, Agents, LLM orchestration, RAG

OpenAI

OpenAI docs, Academy, and Cookbook · Beginner to advanced

Official model and implementation material for learning GPT-6 Astra and cost-sensitive GPT-5.6 choices, Codex workflows, subagents, memories, agent evals, MCP and connector patterns, retrieval, background jobs, prompt engineering, production best practices, model optimization, structured outputs, and OpenAI's Academy learning path.

Topics

GPT-6 Astra, GPT models, Reasoning models, Model selection, Agents, Subagents, RAG, Structured outputs, MCP, Evals, Memories

Microsoft

AI Agents for Beginners · Beginner to intermediate

A structured lesson path for understanding when to use agents and how to build simple agentic systems.

Topics

Agents, Multi-agent workflows, Tool use

AutoGen

Microsoft AutoGen docs · Intermediate

Good for learning multi-agent design patterns and conversation-based orchestration.

Topics

Agents, Multi-agent workflows, Tool use, AI engineering

Ollama

Ollama docs · Beginner to intermediate

Practical route into running and testing local models on your own machine.

Topics

Local models, LLM tools, AI engineering, Privacy

llama.cpp

llama.cpp examples · Intermediate to advanced

Core educational repo for understanding local inference, quantization, and efficient model running.

Topics

Local models, Inference, Quantization, AI engineering