{"data":{"slug":"luban-agi-awesome-aigc-tutorials","name":"Awesome-AIGC-Tutorials","tagline":"Curated tutorials and resources for Large Language Models, AI Painting, and more","github_url":"https://github.com/luban-agi/Awesome-AIGC-Tutorials","owner":"luban-agi","repo":"Awesome-AIGC-Tutorials","owner_avatar_url":"https://avatars.githubusercontent.com/u/142385464?v=4","primary_language":null,"stars":4522,"forks":303,"topics":["ai","aigc","awesome","chatgpt","courses-resource","deep-learning","llm","midjourney","multimodal","nlp","prompt-engineering","stable-diffusion","tutorials"],"archived":false,"github_pushed_at":"2024-03-31T09:18:04+00:00","maintenance_label":"Dormant","url":"https://www.graphcanon.com/tools/luban-agi-awesome-aigc-tutorials","markdown_url":"https://www.graphcanon.com/tools/luban-agi-awesome-aigc-tutorials.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/luban-agi-awesome-aigc-tutorials","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=luban-agi-awesome-aigc-tutorials","description":"Curated tutorials and resources for Large Language Models, AI Painting, and more. ","homepage_url":null,"license":"MIT","open_issues":10,"watchers":28,"ai_summary":"Provides educational content on LLMs, NLP, prompt engineering, and AI-generated art.","readme_excerpt":"# Awesome AIGC Tutorials \n\n \n \n\n\n\nEnglish | [中文版](README_zh.md)\n\n\nAwesome AIGC Tutorials houses a curated collection of tutorials and resources spanning across Large Language Models, AI Painting, and related fields. Discover in-depth insights and knowledge catered for both beginners and advanced AI enthusiasts.\n\n## 🔔 Recent Updates\n\n- [2024-02-18] - 🌈 Added new course: [CSCI-GA.3033-102 Special Topic - Learning with Large Language and Vision Models](https://www.sainingxie.com/llvm-fall23/) in Multimodal.\n- [2024-02-14] - 💬 Added new course: [CS11-711 Advanced Natural Language Processing](https://phontron.com/class/anlp2024/) in Large Language Models.\n- [2024-02-14] - 💬 Added new seminar: [AI-Systems (LLM Edition) 294-162](https://learning-systems.notion.site/learning-systems/AI-Systems-LLM-Edition-294-162-Fall-2023-661887583bd340fa851e6a8da8e29abb) in AI System.\n\n## 🌱 How to Contribute\n\nWe warmly welcome contributions from everyone, whether you've found a typo, a bug, have a suggestion, or want to share a resource related to AIGC. For detailed guidelines on how to contribute, please see our [CONTRIBUTING.md](CONTRIBUTING.md) file.\n\n## 📜 Content\n- [👋 Introduction](#-introduction)\n- [💬 Large Language Models](#-large-language-models)\n  - [💡 Prompt Engineering](#-prompt-engineering)\n  - [🔧 LLMs in Practice](#-llms-in-practice)\n  - [🔬 Theory of LLMs](#-theory-of-llms)\n- [🎨 AI Painting](#-ai-painting)\n  - [🧑‍🎨 Art Fundamentals and AI Painting Techniques](#-art-fundamentals-and-ai-painting-techniques)\n  - [🌊 Stable Diffusion Principles and Applications](#-stable-diffusion-principles-and-applications)\n- [🔊 AI Audio](#-ai-audio)\n- [🌈 Multimodal](#-multimodal)\n- [🧠 Deep Learning](#-deep-learning)\n- [💻 AI System](#-ai-system)\n- [🗂 Miscellaneous](#-miscellaneous)\n  - [✨ Star History](#-star-history)\n  - [🤝 Friendship Links](#-friendship-links)\n\n## 👋 Introduction\n- [AI for Everyone - Andrew Ng](https://www.deeplearning.ai/courses/ai-for-everyone/)\n  \n  \n  - \"AI for Everyone\" is a beginner's guide to understanding AI's practical applications, its limitations, and its societal impact, ideal for business professionals and leaders alike.\n- [Practical AI for Teachers and Students - Wharton School](https://www.youtube.com/playlist?list=PLwRdpYzPkkn302_rL5RrXvQE8j0jLP02j)\n  \n  \n  - Wharton Interactive's crash course delves into the mechanics and impacts of LLMs, spotlighting models like OpenAI's ChatGPT4, Microsoft's Bing in Creative Mode, and Google's Bard. \n- [Artificial Intelligence for Beginners - Microsoft](https://microsoft.github.io/AI-For-Beginners/)\n  \n  - This 12-week Microsoft curriculum dives deep into AI methodologies, spanning symbolic AI to neural networks, while highlighting TensorFlow and PyTorch frameworks, yet omits business applications, classic machine learning, and certain cloud-specific topics.\n- [Generative AI learning path - Google Cloud](https://www.cloudskillsboost.google/journeys/118)\n  \n  \n  - This learning path offers a comprehensive journey from the basics of Large Language Models to deploying generative AI solutions on Google Cloud. \n\n## 💬 Large Language Models\n\n### 💡 Prompt Engineering\n- [ChatGPT Prompt Engineering for Developers - DeepLearning.AI](https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/) \n  \n  \n  - Co-taught by OpenAI and DeepLearning.AI, this course guides learners in leveraging Large Language Models for tasks like summarizing and text transformation, with hands-on experiences in a Jupyter notebook environment.\n- [Building Systems with the ChatGPT API - DeepLearning.AI](https://www.deeplearning.ai/short-courses/building-systems-with-chatgpt/)\n  \n  \n  \n  - Led by experts from OpenAI and DeepLearning.AI, this course teaches automating workflows using language models, creating prompt chains, integrating Python, and designing chatbots, all through hands-on Jupyter notebook exercises with just basic Python knowledge required.\n- [LangChain for LLM Ap","github_created_at":"2023-08-22T07:22:52+00:00","created_at":"2026-07-11T11:57:39.602608+00:00","updated_at":"2026-07-28T06:00:22.512195+00:00","categories":[{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"aigc","name":"aigc"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"deep-learning","name":"deep-learning"},{"slug":"llm","name":"llm"},{"slug":"midjourney","name":"midjourney"},{"slug":"multimodal","name":"multimodal"},{"slug":"nlp","name":"nlp"}],"trust":{"provenance":{"is_fork":false,"github_id":681516317,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-07-28T06:00:21.420Z","maintenance":{"label":"Dormant","score":18,"methodology":"github_public_v1","releases_90d":0,"days_since_push":848,"last_release_at":null},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:57:40.762Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-07-28T06:00:22.045Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-07-28T06:00:22.045Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"notes":["No specific technical prerequisites are listed. 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