Title: DeepLearning.AI's Practical Path to Building AI Applicati...
URL Source: https://www.bestblogs.dev/status/2034102686585438302
Published Time: 2026-03-18 03:00:46
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DeepLearning.AI's Practical Path to Building AI Applications ============================================================
DeepLearning.AI's Practical Path to Building AI Applications ============================================================  ### DeepLearning.AI
@DeepLearningAI
许多人通过阅读来开始学习 AI。
但真正的转变发生在你开始动手构建时。
从理解 AI 到创建应用程序通常是循序渐进的：首先理解生成式 AI 的工作原理，然后学习其背后的编程技术，接着使用大型语言模型（LLM），最终构建完整的 AI 系统。
这里有几门课程可以带你走过这条道路：
面向所有人的生成式 AI hubs.la/Q047g3-d0
面向初学者的 AI Python hubs.la/Q047g3_60
面向开发者的 ChatGPT 提示工程 hubs.la/Q047g8_n0
用于 LLM 应用开发的 LangChain hubs.la/Q047g40-0
智能体 AI hubs.la/Q047fR7g0
一条从学习 AI 到动手构建的实用路径。
分享给正在开启 AI 之旅的朋友吧。Show More
Mar 18, 2026, 3:00 AM View on X
7 Replies
7 Retweets
76 Likes
3,661 Views  DeepLearning.AI @DeepLearningAI
One Sentence Summary
DeepLearning.AI outlines a practical learning path, from understanding generative AI to building full AI systems, recommending specific courses to transition from reading to building.
Summary
This tweet from DeepLearning.AI emphasizes the crucial shift from merely reading about AI to actively building with it. It proposes a structured learning journey, starting with generative AI fundamentals, progressing through AI programming (Python), prompt engineering for LLMs, LangChain for application development, and finally, agentic AI. The tweet provides direct links to several of their courses that align with each step of this practical path, aiming to guide learners in developing real-world AI applications.
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DeepLearning.AI's Practical Path to Building AI Applicati... ===============