14 related articles

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.
Andrew Ng Partners with Google to Laun…
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.
Claude Code Complete Tutorial: Best Pr…
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.

Google Gemini's four co-leads — Jeff Dean, Noam Shazeer, and others — discuss Gemini's technical roadmap, multimodal capabilities, Agent direction, and future strategy in a rare joint conversation.

Deep dive into Andrew Ng's Agent Skills course with Anthropic, covering Skills architecture, progressive loading, MCP integration, and hands-on examples for building reusable AI agent skills.
TutorialsAndrew Ng and Anthropic launch a Claude Code course covering RAG chatbots, data analysis, and Figma-to-web apps, with MCP server integration and parallel session best practices.
TutorialsA systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
TutorialsDeep 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.
TutorialsDeep dive into Andrew Ng's Building Your Own Database Agent course with Microsoft, covering LLM-SQL interaction, LangChain Agents, Function Calling, and RAG for tabular data.
Complete Guide to Claude Code GitHub I…
A detailed guide to Claude Code's GitHub integration for automated PR reviews and Issue fixes, plus the Hooks mechanism for injecting custom logic into AI workflows.
Product ReviewsIn-depth review of Mavis multi-agent platform across academic retrieval, literature review, and web development. Multi-agent mode significantly outperforms single agents in accuracy and reliability.
TutorialsDeep 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.
TutorialsDeep 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.
Complete Breakdown of the Free Gemini …
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.