#DeepLearning.ai Anthropic course
29 related articles
·2 分钟
Andrew Ng's New Company LearnVector: Achieving One-on-One Personalized Learning with AI
Andrew Ng launches LearnVector, using generative AI to deliver one-on-one personalized learning. Explore its core vision, potential capabilities, challenges, and how LLMs can solve education's scalability problem.
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·2 分钟
Andrew Ng's New Company LearnVector: Achieving One-on-One Personalized Learning with AI
Andrew Ng launches LearnVector, leveraging generative AI to create one-on-one personalized learning experiences. Explore its core vision, potential capabilities, challenges, and how LLMs could solve education's scalability problem.
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·2 分钟
The Complete Guide to Agent Skills: Andrew Ng × Anthropic Joint Course Breakdown
Andrew Ng's DeepLearning.ai teams up with Anthropic to teach Agent Skills: file structure, progressive disclosure, MCP integration, and the full path from Claude.ai to the Agent SDK.
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·3 分钟
The Complete LLM Learning Roadmap: From Beginner to Expert — Courses and Resources Recommended
Confused by scattered LLM resources and unclear learning paths? This guide maps a complete roadmap from basics to advanced, covering Karpathy, Stanford CS224N, DeepLearning.AI, Hugging Face, plus RAG, fine-tuning, and Agent deep dives.
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·5 分钟
The Definitive Guide to Claude Code: Core Methodology and Best Practices for Agentic Programming
A deep dive into Claude Code, the definitive course from DeepLearning.AI and Anthropic: from agentic principles and context optimization to three hands-on cases—RAG chatbot, Figma-to-frontend, and data analysis. Master AI-assisted coding methodology.
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·5 分钟
How Can Working IT Professionals Learn AI Efficiently? A Practical Learning Path from Zero to Real-World Projects
Limited time but want to learn AI systematically? This guide maps out a practical learning path for working IT pros—from AI application engineering and prompt engineering to RAG and Agents.
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·6 分钟
Spec-Driven Development in Practice: The New AI Coding Paradigm from Andrew Ng × JetBrains
Andrew Ng partners with JetBrains to launch a Spec-Driven Development course, teaching how to direct AI coding agents via spec files to boost intent fidelity and build maintainable production apps.
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·3 分钟
How to Choose a Practical LLM/RAG/AI Agent Course: Four Key Criteria
Learn how to pick the best LLM, RAG, and AI Agent courses. Discover 4 key criteria for hands-on AI learning and top resources for developers.
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·7 分钟
Spec-Driven Development: Andrew Ng Teaches You to Master AI Coding Agents Efficiently
Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.
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·7 分钟
Andrew Ng Teams Up with LangChain: Core Principles of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase present AI Agents in LangGraph, covering five core agent design patterns and LangGraph's graph-based framework for building cyclical agentic workflows.
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·7 分钟
Andrew Ng Teams Up with LangChain: Core Concepts of LangGraph Agent Development
Andrew Ng and LangChain CEO Harrison Chase's AI Agents in LangGraph course covers five agent design patterns and LangGraph's graph-based framework for building cyclical AI workflows.
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·3 分钟
Andrew Ng x Anthropic: A Complete Guide to Agent Skills
DeepLearning.AI and Anthropic launch an Agent Skills course. Learn how Skills work, progressive disclosure, MCP integration, and subagent patterns for AI agent development.
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·2 分钟
Andrew Ng Partners with Anthropic: A Deep Dive into the Claude Code Practical Course
Andrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data dashboards, and Figma-to-frontend projects, with Git Worktrees and MCP server orchestration.
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·3 分钟
Andrew Ng's Prompt Engineering Course: How Developers Call LLMs via API
A systematic overview of Andrew Ng's ChatGPT Prompt Engineering for Developers course: base vs. instruction-tuned models, API best practices, and two core prompting principles.
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·3 分钟
Andrew Ng Partners with Anthropic to Launch a Comprehensive Claude Code Hands-On Course
Andrew Ng partners with Anthropic on a Claude Code course covering context configuration, MCP server collaboration, multi-instance workflows, and a RAG chatbot hands-on project.
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·3 分钟
Andrew Ng's Advanced AI Prompting Guide: Core Methods for Going from Beginner to Expert
Based on Andrew Ng's latest AI prompting tutorial, learn the core gaps between beginners and experts: providing context, overcoming sycophancy, iterative workflows, and four key principles.
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·2 分钟
Claude Code Best Practices Course: The Agentic Programming Guide Recommended by Andrew Ng
DeepLearning.AI and Anthropic launch a Claude Code best practices course covering architecture, context management, MCP servers, parallel sessions, and three hands-on projects for AI-powered coding.
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·3 分钟
Andrew Ng and Anthropic Launch the Definitive Claude Code Tutorial: A Complete Breakdown
Andrew Ng and Anthropic launch the definitive Claude Code course covering core principles, multi-instance parallel development, MCP server integration, and three hands-on projects for AI-assisted programming.
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·2 分钟
Andrew Ng's Agent Skills Tutorial: A Complete Guide to Teaching AI Agents New Skills
A deep dive into Andrew Ng and Anthropic's Agent Skills course: how to empower AI agents like Claude Code with new capabilities through standardized skill files, progressive loading, and MCP integration.
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·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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