rohitg00/ai-engineering-from-scratchGitHub
Use when you prefer a from-scratch AI engineering curriculum that emphasizes building shipped applications.
Learn it. Build it. Ship it for others.
- 54.5k
- Python
- MIT
active1mo ago
microsoft/generative-ai-for-beginners Alternatives
generative AI education / tutorials
A free 21-lesson curriculum teaching beginners how to build generative AI applications.
Drop-in peers
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
patchy631/ai-engineering-hubGitHub
Use instead of the seed for more in-depth, current LLM/RAG/agent tutorials.
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
- 37.5k
- Jupyter Notebook
- MIT
active29d ago
Same job, different approach
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
dair-ai/Prompt-Engineering-GuideGitHub
Use when you need a deeper, more focused prompt-engineering guide rather than a broad GenAI overview.
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
- 77.7k
- MDX
- MIT
active7mo ago
microsoft/AI-For-BeginnersGitHub
Use when you want a broader AI-for-Beginners course that also covers classical ML topics.
12 Weeks, 24 Lessons, AI for All!
- 68.5k
- Jupyter Notebook
- MIT
active1mo ago
buynao/aipathGitHub
Use when you prefer a math-free interactive AI general education course instead of a GenAI-only curriculum.
Interactive AI General Education Course — 30 Lessons, Zero Math
- 511
- JavaScript
- none
active3mo ago
Listed as an alternative to
These projects were analysed and named generative-ai-for-beginners among their alternatives. The relationship is not symmetric — how generative-ai-for-beginners rates them is a separate judgement, made when generative-ai-for-beginners is analysed in its own right.
dair-ai/Prompt-Engineering-GuideGitHub
calls generative-ai-for-beginners “When you want a structured beginner course for generative AI covering prompt engineering and LLM concepts.”
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
77.7kMDXactive
patchy631/ai-engineering-hubGitHub
calls generative-ai-for-beginners “Choose for a structured 21-lesson course with slide decks and code, if you prefer guided learning over a project collection.”
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
37.5kJupyter Notebookactive
liyupi/ai-guideGitHub
calls generative-ai-for-beginners “Structured 21-lesson course when you prefer a linear curriculum over a sprawling knowledge base.”
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude / GLM）、最新 AI 资讯、Prompt 提示词大全、AI 知识百科（Agent Skills / RAG / MCP / A2A）、AI 编程教程（Harness Engineering）、AI 工具用法（Cursor / Claude Code / TRAE / Codex / Copilot）、AI 开发框架教程（Spring AI / LangChain）、AI 产品变现指南，帮你快速掌握 AI 技术，走在时代前沿。本项目为开源文档 aiguide，已升级为鱼皮 AI 导航网站
19.1kJavaScriptactive