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LangChain for LLM Application Development

California, United States

The Non-degree in LangChain for LLM Application Development at DeepLearning.AI is a program for international students taught in English.

πŸ“– Introduction

DeepLearning.AI is an online education platform founded in 2017 by Andrew Ng, a leading AI expert and co-founder of Coursera. As a private organization, DeepLearning.AI specializes in AI and machine learning education, offering high-quality courses, specializations, and professional certifications in collaboration with top institutions and industry leaders. The platform is known for its practical, hands-on approach to teaching AI concepts and its focus on making cutting-edge AI knowledge accessible to learners worldwide.

πŸ“š About the Program

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.

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.

🏫 About the University

DeepLearning.AI is dedicated to advancing artificial intelligence education and empowering individuals to build careers in AI and machine learning. The platform offers a range of courses, including the renowned "Deep Learning Specialization" and "AI for Everyone," designed to cater to beginners, professionals, and researchers. By collaborating with leading experts and institutions, DeepLearning.AI provides industry-relevant content that bridges the gap between theoretical knowledge and real-world applications. Through its online courses, research initiatives, and community-driven projects, DeepLearning.AI plays a crucial role in shaping the future of AI education and innovation.

πŸ’° Fees

Application Fee

$0 USD

$0 USD

Tuition Fee

$120 USD

$120 USD

per year

βœ… Entry Requirements

The minimum age is 18 and the maximum age is 50.

English Fluent is required.

Minimum education level Bachelor's degree

All students from all countries are eligible to apply to this program.

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$120 USD

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