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LangChain with Python Bootcamp

Jose Portilla

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

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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:

  1. Model I/O: Easily interface with language models.

  2. Data connection: Connect with application-specific data sources.

  3. Chains: Construct sequences of calls to accomplish specific tasks.

  4. Agents: Enable chains to choose tools based on high-level directives.

  5. 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.

Enroll now

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.

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
Read more
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

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Activities

Coming soon We're preparing activities for LangChain with Python Bootcamp. These are activities you can do either before, during, or after a course.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in LangChain with Python Bootcamp.
A popular academic textbook, this book provides a strong foundation in statistical NLP techniques and good reference for developers.
A popular textbook for academic institutions, this book teaches fundamental NLP concepts and provides a good foundation.
Practical guide to NLP and provides useful code examples for developers.
Provides a good overview of deep learning techniques applied to NLP tasks and useful reference for developers.
An academic book that provides a broad overview of topics related to NLP, including speech processing. useful reference for those wanting a broader perspective.
Provides a good foundation in semantics, which is useful for understanding the meaning of language.
Provides a good overview of discourse analysis, which is useful for understanding how language is used in social contexts.

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