LangChain with Python Bootcamp from Udemy

Welcome to the LangChain Udemy course: Unlock the Power of Language Models with Python.

Ready to develop cutting-edge applications powered by language models? LangChain is the framework you need. With LangChain, create data-aware and agentic applications that connect language models with other data sources and enable interaction with the environment.

Why Choose LangChain?

LangChain offers numerous benefits for your language model development needs:

Components: LangChain provides modular and user-friendly abstractions for working with language models, along with a wide range of implementations.

Off-the-shelf chains: Start building applications quickly with pre-built chains designed for specific tasks. Modify existing chains or create new ones for more complex or customized use-cases.

LangChain Course Modules:

LangChain offers standard interfaces and external integrations for various modules:

Model I/O: Easily interface with language models.
Data connection: Connect with application-specific data sources.
Chains: Construct sequences of calls to accomplish specific tasks.
Agents: Enable chains to choose tools based on high-level directives.
Memory: Persist application state between runs of a chain.

With LangChain you'll be able to quickly build real world applications that directly sync up with Large Language Models, such as OpenAI's GPT-4 API.

Revolutionize your applications with the power of language models. Enroll in our LangChain Udemy course now and unlock limitless possibilities.

What's inside

Learning objectives

Learn to use langchain for model inputs and outputs to easily switch out llms.
Discover how to perform data connections with vector databases such as chromadb with your llms and langchain.

Understand how to utilize langchain memory to keep track of user and ai conversations.
Use langchain to build out custom agents to accomplish tasks with llms.

Learn to use langchain for model inputs and outputs to easily switch out llms.
Discover how to perform data connections with vector databases such as chromadb with your llms and langchain.
Understand how to utilize langchain memory to keep track of user and ai conversations.
Use langchain to build out custom agents to accomplish tasks with llms.

Syllabus

Introduction

Introduction and Course Notebooks Download

Course Introduction and Overview

Let's learn how to use different models for text generation output and accepting in puts in LangChain

Introduction to Models - Inputs and Outputs

OPTIONAL - OPENAI ACCOUNT SETUP

Using LLMs with LangChain

Chat Models with LangChain

Prompt Templates

Prompt and Models - Exercise

Prompt and Models - Exercise Solution

Few Shot Prompt Template

Parsing Output - Part One

Parsing Output - Part Two

Parsing Output - Part Three

Serialization -Saving and Loading Prompts

Models - Inputs and Outputs - Project Exercise

Models - Inputs and Outputs - Project Exercise Solution

Let's begin to connect our models to different data sources with LangChain!

Introduction to Data Connections

Document Loaders - Part One

Document Loaders - Integrations

Document Loading Exercise

Document Loading Exercise - Solution

Document Transformers

Text Embedding

Vector Store

Vector Store - Retrievers

MultiQuery Retrieval

Context Compression

Data Connections Exercise

Data Connections Exercise - Solutions

Let's learn the core of LangChain, useful model chains for tasks!

Introduction to LangChain Chains

LLMChain Object

SimpleSequentialChain

SequentialChain

LLMRouterChain

TransformChain

OpenAI Function Calling with LangChain

MathChain

Additional Chains - QA Documents

Chains - Exercise

Chains - Exercise Solution

Let's learn how models can store older information in memory with LangChain!

Introduction to Memory

ChatMessageHistory Object

ConversationBufferMemory

ConversationBufferWindowMemory

ConversationSummaryMemory

Let's explore one of the coolest parts of LangChain, Agents!

Introduction to Agents

Agent Basics

Agent Tools

Custom Tools

Conversation Agents

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Touches on cutting-edge tools, giving learners insight into the future of AI-powered applications

Builds a foundation in the core components and building blocks of modern applications powered by AI

Teaches tools for connecting language models to real-world data and applications in a systematic way

Utilizes multiple modalities in learning, such as videos, discussions, and hands-on practice

Taught by an established expert in the field of language models and AI applications

Some materials rely on software that's not the most recent version

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 with Python Bootcamp with these activities:

Revisit natural language processing concepts

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Ensure a strong foundation by revisiting key natural language processing concepts prior to the course.

Browse courses on Natural Language Processing

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Review NLP textbooks or online resources
Complete NLP practice exercises

Review Python functions and OOP principles

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Refreshing your understanding of Python functions and OOP principles will ensure that you have a strong foundation to succeed in this course.

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Review official Python documentation on functions
Code practice: Write a Python script with a custom function that takes in user input
Review official Python documentation on OOP
Code practice: Create a Python class with attributes and methods
Practice problem: Implement a simple Python program using functions and OOP to solve a specific problem

Review Using LLMs

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By reviewing this essential skill, you'll strengthen your foundation in using LLMs effectively.

Browse courses on LLMs

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Examine examples of LLM outputs.
Practice fine-tuning LLMs for specific tasks.
Explore different ways to prompt LLMs.

14 other activities

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Review Python programming fundamentals

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Strengthen your foundation by refreshing your Python programming skills before starting the LangChain course.

Browse courses on Python

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Review online Python tutorials
Complete Python coding exercises

Join a study group

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Collaborating with peers can enhance your comprehension and retention of the course material.

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Find a study group or create one with classmates.
Establish regular meeting times and study sessions.
Share notes, insights, and resources.
Review and discuss course concepts together.

Practice exercises on LangChain chaining and model I/O

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Solving practice problems will enhance your understanding of how to effectively use LangChain chaining and model I/O.

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Solve practice problems on building LangChain chains
Practice exercises on integrating different models with LangChain
Complete an assessment or quiz to evaluate your understanding

Connect with a LangChain expert

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Seek guidance and support from experienced professionals in the field of LangChain.

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Identify potential mentors
Reach out to potential mentors
Build relationships with mentors

Join a LangChain discussion group

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Connect with other learners, share knowledge, and get support in your LangChain journey.

Browse courses on LangChain

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Find a LangChain discussion group
Participate in discussions
Ask and answer questions

Explore Hugging Face Transformers library tutorials

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Following hands-on tutorials from Hugging Face will provide you with practical experience working with Transformers models.

Browse courses on Hugging Face

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Check out the Hugging Face Transformers library documentation
Work through the 'Getting Started' tutorial
Complete a specific task-oriented tutorial based on your interests (e.g., text generation, question answering)

Explore the LangChain documentation

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Familiarize yourself with LangChain's capabilities and features to optimize your learning process.

Browse courses on LangChain

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Visit the LangChain website
Read through the LangChain documentation
Complete the LangChain Quickstart Tutorial

Create an LLM-powered chatbot

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This hands-on tutorial will deepen your understanding of how LLMs can be applied to real-world scenarios.

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Choose an LLM platform and set up your account.
Design the conversation flow for your chatbot.
Implement the chatbot using the LLM platform.
Test and refine your chatbot.

Attend a LangChain workshop

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Supplement your learning with hands-on experience and expert guidance at a LangChain workshop.

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Find a LangChain workshop
Register for the workshop
Attend the workshop

Develop a project proposal for a language-based application using LangChain

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Working on a project proposal will help you solidify your understanding of how to apply LangChain in real-world scenarios.

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Brainstorm ideas for a language-based application that could benefit from LangChain
Research and identify potential use cases and target audience
Develop a project plan outlining the application's functionality, architecture, and implementation
Present your project proposal to peers or instructors for feedback

Build a simple LangChain application

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Reinforce your understanding of LangChain by creating a practical application.

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Design your application
Implement your application using LangChain
Test and debug your application

Develop a data-aware application with LangChain

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Deepen your understanding by building a project that incorporates data awareness using LangChain.

Browse courses on LangChain

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Identify a problem or opportunity
Design your application
Implement your application using LangChain
Test and debug your application

Build a simple chatbot using Transformers and LangChain

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Creating a chatbot will allow you to apply the concepts of the course and reinforce your understanding of using Transformers models with LangChain.

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Design the chatbot's functionality and user interface
Implement the chatbot using LangChain and a chosen Transformers model
Test the chatbot and gather feedback from users
Iterate on the chatbot's design and implementation based on feedback

Write a blog post about LangChain

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Enhance your understanding and share your knowledge by creating a blog post about LangChain.

Browse courses on LangChain

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Choose a topic related to LangChain
Research and gather information
Write and edit your blog post
Publish your blog post

Career center

Learners who complete LangChain with Python Bootcamp will develop knowledge and skills that may be useful to these careers:

Natural Language Processing Engineer

As a Natural Language Processing Engineer, you will specialize in developing and applying techniques for processing and understanding human language. The LangChain with Python Bootcamp course will provide you with a solid foundation in language models and how to integrate them into your NLP applications. You will learn how to use LangChain to build chatbots, language translation systems, and other NLP applications that can understand and generate human-like text.

See salaries and explore the career path for Natural Language Processing Engineer

Data Scientist

As a Data Scientist, you will use your expertise in artificial intelligence and machine learning to analyze large datasets and uncover patterns and trends. With the skills you learn in the LangChain with Python Bootcamp course, you will be able to leverage language models to enhance your data analysis and modeling capabilities. The course will help you understand how to use LangChain to integrate language models with your data sources, enabling you to build more sophisticated and data-driven applications.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

In the field of Machine Learning Engineering, you will apply your knowledge of machine learning algorithms and techniques to build and deploy predictive models. The LangChain with Python Bootcamp course will equip you with the skills to incorporate language models into your machine learning models. You will learn how to use LangChain to interact with language models and use their outputs to enhance the accuracy and performance of your models.

See salaries and explore the career path for Machine Learning Engineer

Technical Writer

As a Technical Writer, you will be responsible for creating technical documentation, such as user manuals, white papers, and training materials. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your technical writing workflow. You will learn how to use LangChain to generate natural-language text, translate documentation into multiple languages, and create interactive tutorials.

See salaries and explore the career path for Technical Writer

User Experience Designer

As a User Experience Designer, you will be responsible for designing and improving the user experience of products and services. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your UX design workflow. You will learn how to use LangChain to generate user personas, create prototypes, and conduct user testing.

See salaries and explore the career path for User Experience Designer

Business Analyst

As a Business Analyst, you will use your skills in data analysis and problem-solving to improve business processes. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your business analysis workflow. You will learn how to use LangChain to extract insights from text data, such as customer feedback, market research reports, and financial statements.

See salaries and explore the career path for Business Analyst

Data Analyst

As a Data Analyst, you will use your skills in data analysis and visualization to uncover insights from data. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your data analysis workflow. You will learn how to use LangChain to extract insights from text data, such as customer reviews, social media posts, and news articles.

See salaries and explore the career path for Data Analyst

Risk Manager

As a Risk Manager, you will be responsible for identifying, assessing, and mitigating risks to an organization. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your risk management workflow. You will learn how to use LangChain to analyze data, identify risks, and develop mitigation plans.

See salaries and explore the career path for Risk Manager

Customer Success Manager

As a Customer Success Manager, you will be responsible for ensuring that customers are satisfied with their products and services. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your customer success workflow. You will learn how to use LangChain to automate customer interactions, resolve customer issues, and track customer satisfaction.

See salaries and explore the career path for Customer Success Manager

Marketing Manager

As a Marketing Manager, you will be responsible for developing and executing marketing campaigns. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your marketing campaigns. You will learn how to use LangChain to create personalized marketing content, automate marketing tasks, and track the success of your campaigns.

See salaries and explore the career path for Marketing Manager

Sales Manager

As a Sales Manager, you will be responsible for leading and motivating a sales team to achieve sales targets. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your sales management workflow. You will learn how to use LangChain to generate leads, qualify prospects, and close deals.

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Consultant

As a Consultant, you will provide advice and guidance to clients on a variety of business issues. The LangChain with Python Bootcamp course will help you build a foundation in language models and how to use them to enhance the value of your consulting services. You will learn how to use LangChain to automate tasks, generate reports, and create presentations.

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Product Manager

As a Product Manager, you will be responsible for the development and launch of new products. The LangChain with Python Bootcamp course will help you build a foundation in language models and how to use them to enhance the user experience of your products. You will learn how to use LangChain to integrate language models into your products, enabling them to understand and generate human-like text.

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Operations Manager

As an Operations Manager, you will be responsible for planning, organizing, and controlling the day-to-day operations of a business. The LangChain with Python Bootcamp course will provide you with the tools to incorporate language models into your operations management workflow. You will learn how to use LangChain to automate tasks, improve efficiency, and track performance.

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Software Engineer

In the role of a Software Engineer, you will design, develop, and maintain software applications. The LangChain with Python Bootcamp course will help you build a foundation in language models and how to use them to enhance the functionality of your software applications. You will learn how to use LangChain to integrate language models into your applications, enabling them to understand and generate human-like text.

See salaries and explore the career path for Software Engineer