What Is Team Management: Strategies, Duties, Job, Career Outlook
January 21, 2025
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Instructors: Andrew Ng
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(81 reviews)
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Beginner level
Basic Python
(81 reviews)
Recommended experience
Beginner level
Basic Python
Apply LLMs to your proprietary data to build personal assistants and specialized chatbots.
Use agents, chained calls, and memories to expand your use of LLMs.
Learn directly from the creator of the framework, Harrison Chase.
Only available on desktop
In LangChain for LLM Application Development, you will gain essential skills in expanding the use cases and capabilities of language models in application development using the LangChain framework.
In this course you will learn and get experience with the following topics: 1. Models, Prompts and Parsers: Calling LLMs, providing prompts and parsing the response. 2. Memories for LLMs: Memories to store conversations and manage limited context space. 3. Chains: Creating sequences of operations. 4. Question Answering over Documents: Apply LLMs to your proprietary data and use case requirements. 5. Agents: Explore the powerful emerging development of LLM as reasoning agents. At the end of the course, you will have a model that can serve as a starting point for your own exploration of diffusion models for your applications. This one-hour course, instructed by the creator of LangChain Harrison Chase as well as Andrew Ng will vastly expand the possibilities for leveraging powerful language models, where you can now create incredibly robust applications in a matter of hours.
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
DeepLearning.AI is an education technology company that develops a global community of AI talent. DeepLearning.AI's expert-led educational experiences provide AI practitioners and non-technical professionals with the necessary tools to go all the way from foundational basics to advanced application, empowering them to build an AI-powered future.
Hands-on, project-based learning
Practice new skills by completing job-related tasks with step-by-step instructions.
No downloads or installation required
Access the tools and resources you need in a cloud environment.
Available only on desktop
This project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
81 reviews
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17.28%
1.23%
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Reviewed on Jan 9, 2025
I learned about models,parsers, prompts, evaluation, agents in this course. It was good
Reviewed on Oct 16, 2024
Providing the overview for how to use LangChain and understand it's benefit.
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