Learn LangChain: Build LLM Applications with LangChain
Learn LangChain: Build LLM Applications with LangChain, available at Free, has an average rating of 4.4, with 5 lectures, based on 124 reviews, and has 2652 subscribers.
You will learn about How to Use LangChain to Build LLM-Powered Applications Deep Dive into LangChain How to build an end to end LangChain based Generative AI application Learn about LangChain components, including LLM wrappers, prompt templates, chains, and agents. Project: Streamlit Application with LangChain and OpenAI for Instant Book Insights This course is ideal for individuals who are Python programmers who want to build LLM-Powered Applications using LangChain or Any programmer interested in AI. It is particularly useful for Python programmers who want to build LLM-Powered Applications using LangChain or Any programmer interested in AI.
Enroll now: Learn LangChain: Build LLM Applications with LangChain
Summary
Title: Learn LangChain: Build LLM Applications with LangChain
Price: Free
Average Rating: 4.4
Number of Lectures: 5
Number of Published Lectures: 5
Number of Curriculum Items: 5
Number of Published Curriculum Objects: 5
Original Price: Free
Quality Status: approved
Status: Live
What You Will Learn
- How to Use LangChain to Build LLM-Powered Applications
- Deep Dive into LangChain
- How to build an end to end LangChain based Generative AI application
- Learn about LangChain components, including LLM wrappers, prompt templates, chains, and agents.
- Project: Streamlit Application with LangChain and OpenAI for Instant Book Insights
Who Should Attend
- Python programmers who want to build LLM-Powered Applications using LangChain
- Any programmer interested in AI.
Target Audiences
- Python programmers who want to build LLM-Powered Applications using LangChain
- Any programmer interested in AI.
Welcome to first LangChain course
This comprehensive course is designed to teach you how to use the LangChain library for building LLM-powered applications.
This course will equip you with the skills and knowledge necessary to develop LLM solutions for a wide range of topics.
The course starts with Introduction to Generative AI, which includes What is Generative AI, What are Discriminative Model and Generative Models and the Training Process of Generative Models.
In the Section 2, Introduction to Large Language Models is presented, which includes What are Large Language Models, Large Language Models Architecture, Difference between Traditional Machine Learning Models and Large Language Models, Use cases of Large Language Models, the lecture also covers, prompt design. Along with this, it also covers Zero Shot Learning and Few Shot Learning.
The Section 3 covers LangChain, What is LangChain, this section also covers OpenAI Large Language Models GPT 3.5, GPT 4, the limitations of these Large Language Models and how does LangChain overcomes these limitations.
The Section 4 covers LangChain, Large Language Models, Prompt Templates, Simple Sequential Chain, Sequential Chain, Agents & Memory.
In the Section 5, a Streamlit Application with LangChain and OpenAI for Instant Book Insights is been build.
The topics covered in this course include:
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Generative AI
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Large Language Models
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LangChain
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Prompts, PromptTemplates
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Chains: SequentialChain, LLMChain
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Agents
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Memory
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Streamlit (for UI)
Along with lifetime access to the course, you’ll get:
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Dedicated 1 on 1 troubleshooting support with me
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No extra cost for continuous updates and improvements to the course
Course Curriculum
Chapter 1: Generative AI
Lecture 1: What is Generative AI
Chapter 2: Large Language Models
Lecture 1: Introduction to Large Language Models
Chapter 3: LangChain
Lecture 1: What is LangChain
Chapter 4: Deep Dive into LangChain
Lecture 1: Large Language Models, Prompt Templates, Sequential Chain, Agents & Memory
Chapter 5: Project
Lecture 1: Book Summaries: Streamlit Application with LangChain & OpenAI for Book Insights
Instructors
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Muhammad Moin
Instructor
Rating Distribution
- 1 stars: 4 votes
- 2 stars: 5 votes
- 3 stars: 23 votes
- 4 stars: 44 votes
- 5 stars: 48 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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