Person profile
Founder; AI Educator at DeepLearning.AI.
Tools Andrew Ng has publicly discussed or demonstrated using. Curated by Magpie's editorial team from podcasts, posts, and public stacks.
Andrew Ng is founder of DeepLearning.AI and co-founder of Coursera. Bridges researcher and operator: names specific tools he teaches with across his Batch newsletter, short courses and X feed. One of the most-read AI educators globally.
Andrew Ng anchors his 'AI Prompting for Everyone' course around skills that apply across ChatGPT, Gemini and Claude. The course explicitly teaches founders and non-developers how to become AI power users through specific prompting patterns rather than tool-specific tricks. ChatGPT is the most-cited example in his Batch newsletter pieces about practical AI adoption.
Andrew Ng co-developed a course on Claude Code with Anthropic, taught by Elie Schoppik. He uses Claude personally for building tools: he built a voice-enabled math-quiz app for his daughter using Claude Code with Vocal Bridge, where she speaks her answers and the app responds verbally. Claude is one of the three frontier models his Prompting course teaches with.
Andrew Ng partnered with Anthropic to ship 'the definitive course' on Claude Code, taught by Elie Schoppik. He's a hands-on user himself: he built a voice-enabled math-quiz app for his daughter using Claude Code plus Vocal Bridge, demonstrating the agent's ability to handle multi-component application development. The course covers Claude Code's full feature set as Anthropic ships it.
Andrew Ng treats Google's Gemini as one of the three frontier models alongside ChatGPT and Claude in his 'AI Prompting for Everyone' course. He hasn't said Gemini is his personal favorite, but he teaches founders to standardize on one of the three rather than locking in to a single vendor.
Andrew Ng launched a course on LangGraph for building single and multi-agent LLM applications, taught directly by LangChain founder Harrison Chase. The course covers integrating agentic workflows using LangGraph as the orchestration substrate. Part of Ng's broader agentic-AI curriculum that frames LangGraph as the canonical state-graph framework for multi-agent systems.
Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph.
Andrew Ng partnered with LangChain founder Harrison Chase to build the AI Agents in LangGraph course and treats LangChain as part of the foundational toolkit for agentic AI. The LangChain ecosystem (LangChain + LangGraph + LangSmith) is the canonical reference architecture in Ng's Agentic AI curriculum.
Andrew Ng co-developed the LangGraph agents course with Tavily founder Rotem Weiss alongside Harrison Chase. Tavily is positioned as the canonical web-search API for AI agents in Ng's curriculum, the example tool agents call when they need to retrieve current information from the web.
Last researched May 15, 2026
Editorial note
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