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
Andrew Ng's new AI Agentic course teaches how to use LangGraph for building single and LLM applications. 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 multi-agent LLM 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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