LangChain Crash Course: Build OpenAI LLM powered Apps from Udemy

In this short course, we take you on a fun, hands-on and pragmatic journey to learn how to build LLM powered apps using LangChain. You'll start building your first Generative AI app within minutes. Every section is recorded in a bite-sized manner and straight to the point as I don’t want to waste your time (and most certainly mine) on the content you don't need.

In this course, we will cover:

What is LangChain
How does LangChain Work
Installation, Setup and Our First LangChain App
Building a Medium Article Generator App
Connecting to OpenAI LLM
Prompt Templates
Simple Chains
Sequential Chains
Agents
Chat with a Document
Adding Memory (Chat History)
Outputting the Chat History
Uploading Custom Documents
Loading Different Document Types (eg PDF, txt, docs)
Chat with Youtube and more...

The goal of this course is to teach you LangChain development in a manageable way without overwhelming you. We focus only on the essentials and cover the material in a hands-on practice manner for you to code along.

Working Through This Course

This course is purposely broken down into short sections where the development process of each section will center on different essential topics. The course a practical hands on approach to learning through practice. You learn best when you code along with the examples.

What's inside

Learning objectives

Learn key langchain features like connecting to openai llms, prompt templates, chains, document loaders, agents, memory
Learn how to build a medium article generator and a question & answer document chatbot

Build practical hands-on project without all the fluff
Learn langchain even if you are a beginner in a weekend

Learn key langchain features like connecting to openai llms, prompt templates, chains, document loaders, agents, memory
Learn how to build a medium article generator and a question & answer document chatbot
Build practical hands-on project without all the fluff
Learn langchain even if you are a beginner in a weekend

Syllabus

Introduction

What is LangChain

How does LangChain work

Build a Medium Article Generator App

What we will be building

Installation, Setup and Our First LangChain App

Connecting to OpenAI LLM

Prompt Templates

Simple Chains

Sequential Chains

Agents

Build a Question & Answer PDF, Txt, Docx Document Chatbot

Chat with a Document

Adding Memory (Chat History)

Outputting the Chat History

Uploading Custom Documents

Loading Different File Types

Chat with Youtube

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Suitable for beginners and those looking to learn LangChain development in a weekend

Provides a practical hands-on approach to learning LangChain development

Develops key skills in connecting to OpenAI LLMs, using prompt templates, and creating simple and sequential chains

Covers real-world applications, such as building a Medium article generator and a question & answer PDF document chatbot

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in LangChain Crash Course: Build OpenAI LLM powered Apps with these activities:

Review how LLMs work

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Reviewing key concepts of LLMs can solidify your understanding before beginning the course.

Browse courses on LLM

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Define what an LLM is in your own words
Describe the different types of LLMs
Explain the benefits and limitations of using LLMs

Seek out a mentor who can provide guidance and support on your LLM development journey

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Having a mentor can provide valuable insights and guidance as you progress in your LLM development skills.

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Identify potential mentors in the LLM field
Reach out to these mentors and request their guidance
Meet with your mentor regularly to discuss your progress and seek advice

Follow a tutorial on building a simple chatbot using LangChain

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Going through a tutorial on a specific LLM application can provide practical context for the course material.

Browse courses on LangChain

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Find a tutorial on building a chatbot using LangChain
Follow the tutorial to build a basic chatbot
Experiment with different parameters and settings in the chatbot

Five other activities

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Show all eight activities

Code along with the examples in the course

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Hands-on practice is crucial for solidifying your understanding of LangChain.

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Set up your development environment
Code along with the examples in each section
Experiment with different parameters and settings in the code

Mentor other students or beginners who are learning LangChain

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Mentoring others can help you solidify your understanding of LangChain and identify areas where you need more clarification.

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Find students or beginners who are learning LangChain
Provide guidance and support to these students
Answer their questions and help them troubleshoot problems

Create a blog post summarizing the key concepts of LangChain

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Summarizing and explaining LLM concepts in your own words can deepen your understanding and identify areas where you need more clarification.

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Review the key concepts of LangChain
Write a blog post summarizing the key concepts in your own words
Share your blog post with others for feedback

Build a chatbot that can answer questions about a specific topic

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Applying your skills to a practical project can demonstrate your understanding of LangChain and showcase your abilities.

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Choose a specific topic for your chatbot
Design the architecture of your chatbot
Develop the chatbot using LangChain
Test and refine your chatbot

Participate in a hackathon or competition that involves building LLM applications

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Participating in a hackathon or competition can provide valuable experience and challenge you to apply your skills in a real-world setting.

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Find a hackathon or competition that involves building LLM applications
Form a team or work individually on a project
Develop and submit your LLM application

Career center

Learners who complete LangChain Crash Course: Build OpenAI LLM powered Apps will develop knowledge and skills that may be useful to these careers:

Developer Evangelist

Developer Evangelists promote and educate developers on new technologies, such as large language models (LLMs) and Generative AI. LangChain is a platform that enables developers to build LLM-powered applications. This course provides a comprehensive introduction to LangChain, covering key concepts such as connecting to OpenAI LLMs, building chains, and adding memory. By learning LangChain, you can develop in-demand skills that can help you succeed as a Developer Evangelist.

See salaries and explore the career path for Developer Evangelist

ML Engineer

ML Engineers are responsible for designing, developing, and maintaining machine learning models. LangChain is a powerful tool for ML Engineers, enabling them to quickly and easily build and deploy LLM-powered applications. This course provides a solid foundation in LangChain, covering topics such as prompt templates, agents, and chat with documents. By completing this course, you will gain the skills necessary to use LangChain to create innovative ML applications.

See salaries and explore the career path for ML Engineer

AI Researcher

AI Researchers are involved in the development of new AI technologies, including LLMs. LangChain is a valuable platform for AI Researchers, enabling them to experiment with and test new LLM applications. This course provides a comprehensive overview of LangChain, covering advanced topics such as sequential chains, custom documents, and different file types. By taking this course, you will gain the knowledge and skills necessary to conduct cutting-edge AI research using LangChain.

See salaries and explore the career path for AI Researcher

Data Scientist

Data Scientists use data to solve business problems. LangChain can be used to analyze data and generate insights. This course provides a practical introduction to LangChain, covering topics such as connecting to OpenAI LLMs, prompt templates, and simple chains. By learning LangChain, you can expand your skillset and become a more effective Data Scientist.

See salaries and explore the career path for Data Scientist

Software Engineer

Software Engineers design, develop, and maintain software applications. LangChain is a powerful platform for building LLM-powered applications. This course provides a comprehensive introduction to LangChain, covering topics such as installation, setup, and building your first app. By completing this course, you will gain the skills necessary to develop innovative software applications using LangChain.

See salaries and explore the career path for Software Engineer

Product Manager

Product Managers are responsible for the development and launch of new products. LangChain can be used to develop prototypes and gather feedback from users. This course provides a practical introduction to LangChain, covering topics such as building a Medium Article Generator app and a Question & Answer Document Chatbot. By learning LangChain, you can gain the skills necessary to develop and launch successful products.

See salaries and explore the career path for Product Manager

UX Researcher

UX Researchers study how users interact with products and services. LangChain can be used to gather feedback from users and improve the user experience. This course provides a practical introduction to LangChain, covering topics such as chat with a document and adding memory. By learning LangChain, you can gain the skills necessary to conduct user research and improve the user experience of your products.

See salaries and explore the career path for UX Researcher

Business Analyst

Business Analysts analyze business processes and identify areas for improvement. LangChain can be used to automate tasks and improve efficiency. This course provides a practical introduction to LangChain, covering topics such as agents and sequential chains. By learning LangChain, you can gain the skills necessary to improve business processes and make your organization more efficient.

See salaries and explore the career path for Business Analyst

Technical Writer

Technical Writers create documentation for software and other technical products. LangChain can be used to generate documentation and keep it up to date. This course provides a practical introduction to LangChain, covering topics such as outputting the chat history and uploading custom documents. By learning LangChain, you can gain the skills necessary to create and maintain high-quality technical documentation.

See salaries and explore the career path for Technical Writer

Instructional Designer

Instructional Designers develop and deliver training programs. LangChain can be used to create interactive training materials and simulations. This course provides a practical introduction to LangChain, covering topics such as building a Medium Article Generator app and a Question & Answer Document Chatbot. By learning LangChain, you can gain the skills necessary to create and deliver engaging training programs.

See salaries and explore the career path for Instructional Designer

Customer Success Manager

Customer Success Managers help customers get the most value from a product or service. LangChain can be used to provide customer support and resolve issues. This course provides a practical introduction to LangChain, covering topics such as chat with a document and adding memory. By learning LangChain, you can gain the skills necessary to provide excellent customer support.

See salaries and explore the career path for Customer Success Manager

Sales Engineer

Sales Engineers help customers understand and purchase technical products. LangChain can be used to create demos and presentations. This course provides a practical introduction to LangChain, covering topics such as building a Medium Article Generator app and a Question & Answer Document Chatbot. By learning LangChain, you can gain the skills necessary to create and deliver effective sales presentations.

See salaries and explore the career path for Sales Engineer

Marketing Manager

Marketing Managers develop and execute marketing campaigns. LangChain can be used to create marketing content and generate leads. This course provides a practical introduction to LangChain, covering topics such as building a Medium Article Generator app and a Question & Answer Document Chatbot. By learning LangChain, you can gain the skills necessary to create and execute successful marketing campaigns.

See salaries and explore the career path for Marketing Manager

Project Manager

Project Managers plan and execute projects. LangChain can be used to manage tasks and track progress. This course provides a practical introduction to LangChain, covering topics such as agents and sequential chains. By learning LangChain, you can gain the skills necessary to plan and execute projects more effectively.

See salaries and explore the career path for Project Manager

Consultant

Consultants provide advice and guidance to businesses. LangChain can be used to gather data and analyze trends. This course provides a practical introduction to LangChain, covering topics such as connecting to OpenAI LLMs and prompt templates. By learning LangChain, you can gain the skills necessary to provide valuable insights to your clients.

See salaries and explore the career path for Consultant