Thanks to my mother constant messaging me of viral economic related videos from Asia's perspective, this is one noteworthy Youtube video (李厂长来了) on learning A.I. and here's the summary learning path:
2026 想学 AI，别再乱报课、乱刷视频了。
我一次整理了 10 门真正值得学的免费 AI 课程，按0基础 → 能上手 → 能做项目，帮你把路线排好。👇点开影片，今天先选一门开始，2026年真的会拉开差距。
你会學到：
✅ 每门课学什么、适合谁、学完能做什么
✅ 怎么选最省时间，避免“收藏吃灰”
✅ 直接照抄的学习顺序，让你最快看到成果
🔗 免费AI课程链接： AI for Everyone：《人人都能学的AI》https://www.deeplearning.ai/courses/a...
Google Skills：《生成式AI学习路径》 https://www.skills.google/paths/1951?...https://www.skills.google/course_temp...
OpenAI学院：《提示词工程》 https://academy.openai.com/home/clubs...
哈佛CS50x：《计算机科学导论》 https://cs50.harvard.edu/x/
哈佛CS50P：《用Python学编程 》 https://cs50.harvard.edu/python/
哈佛CS50AI：《用Python学人工智能导论》https://cs50.harvard.edu/ai/
Andrej Karpathy 《如何高效使用大语言模型》： • How I use LLMs
微软Generative AI for Beginners：《生成式AI入门》 https://learn.microsoft.com/en-us/sho...
Anthropic学院：《Claude代碼實戰》 https://anthropic.skilljar.com/claude...
Nate Herk：用n8n搭建AI Agent • Build & Sell n8n AI Agents (8+ Hour Course...
📺 其它关联影片/【往期精彩视频】： • 9個你絕對想不到的免費AI工具！ • 2025年职场人必备的9个AI办公工具，每年帮你节省超过1000小时！全部免费！
1. Summary of the Video's 4-Stage Roadmap
1.AI Literacy & General Frameworks:Courses 1 & 2.
Focuses on understanding what AI is without writing code.
- Course 1: AI for Everyone by Andrew Ng (DeepLearning.AI) to build a structural worldview of machine learning.
- Course 2: Google Cloud Skills Boost (Generative AI Learning Path) to master LLM principles and earn industry-recognized skill badges.
2.Mastering the Interface:Course 3.
- Course 3: OpenAI Academy's Prompt Engineering Course. Focuses on shifting from basic queries to advanced prompting tactics (role-setting, contextual framing, and multi-turn expectations) to maximize LLM performance.
3.Computer Science & Coding Foundations:Courses 4, 5, & 6.
Building the underlying technical stamina needed to refine AI outputs.
- Course 4: Harvard CS50x (updated for 2026 with explicit AI/LLM modules).
- Course 5: Harvard CS50p (Python specific).
- Course 6: Harvard CS50AI (Introduction to AI with Python).
4.Advanced Deep Dives & Practical Agent Building:Courses 7, 8, 9, & 10.
Transitioning from using tools to engineering systems.
- Course 7: Andrej Karpathy's ~2-hour YouTube technical lecture on how to deep-dive into LLMs.
- Course 8: Microsoft's Generative AI for Beginners on GitHub, introducing RAG (Retrieval-Augmented Generation) and fine-tuning.
- Course 9: Anthropic Academy's Claude Code in Action, focusing on the Model Context Protocol (MCP).
- Course 10: NetworkChuck's 8+ hour YouTube tutorial on building autonomous AI Agents using n8n.