Andrew Ng on X: "New AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain @langchain founder Harrison Chase @hwchase17 and @tavilyai founder @weiss_rotem, shows how to integrate agentic https://t.
Quick Answer
Andrew Ng's new AI Agentic course teaches how to use LangGraph for building single and multi-agent LLM applications.
Quick Take
Led by Harrison Chase and Rotem Weiss, the course covers agentic search, memory implementation, and human-in-the-loop guidance, culminating in the creation of a sophisticated essay-writing agent.
Key Points
- Course focuses on building single and applications using LangGraph.
- Taught by LangChain's Harrison Chase and Tavily's Rotem Weiss.
- Covers agentic search for enhanced knowledge and query-focused answers.
- Includes implementation of agentic memory for state preservation.
- Final project involves creating a sophisticated essay-writing agent.
📖 Reader Mode
~1 min readNew AI Agentic course! Learn to use LangGraph to build single and multi-agent LLM applications in AI Agents in LangGraph. This short course, taught by LangChain
@langchainfounder Harrison Chase
@hwchase17and
@tavilyaifounder @weiss_rotem, shows how to integrate agentic search to enhance an agent's knowledge with query-focused answers in predictable formats. Also learn to implement agentic memory to save state for reasoning and debugging, and see how human-in-the-loop input can guide agents at key junctures. You'll build an agent from scratch, then reconstruct it with LangGraph to thoroughly understand the framework. Finally, you'll build a sophisticated essay-writing agent that incorporates all the learnings from the course. Sign up here! deeplearning.ai/short-courses/…
— Originally published at x.com
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