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ai-agents-for-beginners

A Microsoft course of 18 lessons on building AI agents: tools, memory, planning, multiple agents. Code examples live in the code_samples folder.

Who it is for

For people who want to build a first agent and learn the core patterns.

How to start

  1. Fork the repository and clone it
  2. Pick any lesson: each one covers its own topic
  3. Run the examples from code_samples (a Microsoft Foundry account is required)

Steps are taken from the README. Check the current version in the repository before running them.

Stars over the last 30 days

+2,580Sep 6 — Oct 5
73,87576,455

Author's description

18 Lessons to Get Started Building AI Agents

Shubhamsaboo

awesome-llm-apps

Growing fastest

A large collection of ready-made LLM apps: agents, RAG systems and skills for coding agents. Every template can be run and taken apart piece by piece.

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A free 21-lesson Microsoft course that goes from generative AI basics and prompting to working applications. Each lesson ships with code.

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Code for Sebastian Raschka's book: you build a GPT-like model in PyTorch step by step, then pretrain and finetune it. The best way to see how an LLM works inside.

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3b1b

manim

An animation engine Grant Sanderson uses to make 3Blue1Brown videos, including the well-known neural network ones. It is not an AI library but a tool for explaining math and ML visually.

95Kstars+1.5K in 30 dPython

A 12-week course on classic machine learning: 26 lessons and 52 quizzes. The foundation that makes modern models easier to understand.

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mlabonne

llm-course

A three-part LLM roadmap: fundamentals, the LLM Scientist (building models) and the LLM Engineer (building apps). Topics come with Colab notebooks.

83Kstars+1.1K in 30 d