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luban-agi/awesome-aigc-tutorials

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TLDR

Curated collection of high-quality learning resources covering AI topics including large language models, image generation, audio AI, and deep learning, organized by topic and difficulty level.

Mindmap

mindmap
  root((awesome-aigc-tutorials))
    Topics
      Large language models
      Image generation
      AI audio
      Deep learning
    Skill levels
      Beginner
      Intermediate
      Advanced
    Sources
      Universities
      Tech companies
      Independent educators
    Audience
      Learners
      Developers
      Researchers
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Code map

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Things people build with this

USE CASE 1

Find beginner-friendly courses on prompt engineering and large language models from trusted universities and companies.

USE CASE 2

Discover AI image generation tutorials for tools like Stable Diffusion organized by skill level.

USE CASE 3

Locate practical resources for developers who want to build apps using language model APIs.

USE CASE 4

Find university-level AI and deep learning courses to understand the theory behind modern AI systems.

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

Awesome AIGC Tutorials is a curated list of learning resources covering AI tools and techniques that have become widely discussed in recent years: large language models (the technology behind tools like ChatGPT), AI image generation, AI audio, and related areas. The repository itself is not software you run. It is a structured collection of links to courses, tutorials, guides, and other educational materials, organized by topic and difficulty level. The main sections cover large language models (with subsections on prompt engineering, practical applications, and the theory behind how these systems work), AI-generated art and image tools like Stable Diffusion, AI audio, multimodal systems that combine text and images, general deep learning, and AI infrastructure topics. Each entry in the list includes a brief description of what the resource covers, who it is from, and labels indicating whether it is a video course, a written guide, or an interactive notebook, along with a difficulty level. The resources come from universities, large technology companies, and independent educators. Examples include beginner-level introductions from DeepLearning.AI and Microsoft, university courses from Vanderbilt and Carnegie Mellon, and more technical materials aimed at developers who want to build applications using language model APIs or understand the underlying research. The collection is maintained as an open-source project and accepts contributions. If you find a resource worth adding, the project has a contributing guide explaining how to submit it. This repository is useful as a starting point if you want to learn about any part of the current AI landscape and need help finding high-quality, vetted material to study.

Copy-paste prompts

Prompt 1
I want to learn prompt engineering from scratch using free resources, what are the best beginner tutorials in awesome-aigc-tutorials?
Prompt 2
Find me a university-level course from awesome-aigc-tutorials that covers transformer architecture and how large language models work.
Prompt 3
I am a developer who wants to build with LLM APIs, what resources in awesome-aigc-tutorials cover practical application development?
Prompt 4
What AI audio and multimodal resources does awesome-aigc-tutorials recommend for someone already comfortable with deep learning basics?
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