#DeepLearning.AI
8 related articles
·3 分钟
Andrew Ng's AI Prompting Guide: Four Key Gaps Between Beginners and Experts
Andrew Ng's AI prompting methodology reveals four core gaps between beginners and experts: deep thinking, sufficient context, neutral questioning, and iterative writing. Applicable to ChatGPT, Claude, Gemini, and all major AI tools.
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Andrew Ng Partners with Google to Laun…
·2 分钟
Andrew Ng Partners with Google to Launch Gemini CLI Course: A Practical Guide to AI-Powered Coding
Andrew Ng partners with Google on a Gemini CLI course covering installation, MCP protocol integration, automated workflows, and agentic coding best practices for AI-assisted development.
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Claude Code Complete Tutorial: Best Pr…
·2 分钟
Claude Code Complete Tutorial: Best Practices from Architecture to Parallel Development
DeepLearning.ai and Anthropic's joint Claude Code course covers architecture, parallel development, and MCP server integration. From RAG chatbots to Figma-to-code workflows, master AI coding assistant best practices.
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教程攻略·2 分钟
Anthropic's Official MCP Tutorial: From Protocol Principles to Production Deployment
Deep dive into Anthropic's open-source MCP protocol, covering client-server architecture, tool calling mechanisms, MCP server development, and remote deployment for standardized AI integration.
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教程攻略·3 分钟
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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教程攻略·2 分钟
Complete Breakdown of Andrew Ng's LangChain Course: Five Core Components and Hands-On Guide
Deep dive into Andrew Ng and Harrison Chase's LangChain course, covering the five core components—Models, Prompts, Indexes, Chains, and Agents—to help developers master LLM app development.
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教程攻略·3 分钟
Complete Breakdown of Andrew Ng's Agent Course: A Practical Guide to the Five Core Modules of AI Agent Development
Deep dive into Andrew Ng's viral AI Agent course covering five core modules: Reflection, Planning, Tool Use, Multi-Agent Collaboration, and Memory, with practical learning paths for LLM agent development.
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教程攻略
Complete Breakdown of the Free Gemini …
·2 分钟
Complete Breakdown of the Free Gemini CLI Course: Andrew Ng's Recommended AI Coding Practical Guide
DeepLearning.AI and Google launch a free Gemini CLI course covering installation, MCP server integration, and automated workflows. Learn Agentic Coding best practices through an AI conference planning project.
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