LangChain with Python Bootcamp

LangChain with Python Bootcamp, available at $84.99, has an average rating of 4.53, with 50 lectures, based on 2165 reviews, and has 13292 subscribers.

You will learn about 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. This course is ideal for individuals who are Python developers interested in using LangChain to develop LLM Applications It is particularly useful for Python developers interested in using LangChain to develop LLM Applications.

Enroll now: LangChain with Python Bootcamp

Summary

Title: LangChain with Python Bootcamp

Price: $84.99

Average Rating: 4.53

Number of Lectures: 50

Number of Published Lectures: 50

Number of Curriculum Items: 50

Number of Published Curriculum Objects: 50

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

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.

Who Should Attend

Python developers interested in using LangChain to develop LLM Applications

Target Audiences

Python developers interested in using LangChain to develop LLM Applications

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!

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction and Course Notebooks Download

Lecture 2: Course Introduction and Overview

Chapter 2: Models – Input and Outputs

Lecture 1: Introduction to Models – Inputs and Outputs

Lecture 2: OPTIONAL – OPENAI ACCOUNT SETUP

Lecture 3: Using LLMs with LangChain

Lecture 4: Chat Models with LangChain

Lecture 5: Prompt Templates

Lecture 6: Prompt and Models – Exercise

Lecture 7: Prompt and Models – Exercise Solution

Lecture 8: Few Shot Prompt Template

Lecture 9: Parsing Output – Part One

Lecture 10: Parsing Output – Part Two

Lecture 11: Parsing Output – Part Three

Lecture 12: Serialization -Saving and Loading Prompts

Lecture 13: Models – Inputs and Outputs – Project Exercise

Lecture 14: Models – Inputs and Outputs – Project Exercise Solution

Chapter 3: Data Connections

Lecture 1: Introduction to Data Connections

Lecture 2: Document Loaders – Part One

Lecture 3: Document Loaders – Integrations

Lecture 4: Document Loading Exercise

Lecture 5: Document Loading Exercise – Solution

Lecture 6: Document Transformers

Lecture 7: Text Embedding

Lecture 8: Vector Store

Lecture 9: Vector Store – Retrievers

Lecture 10: MultiQuery Retrieval

Lecture 11: Context Compression

Lecture 12: Data Connections Exercise

Lecture 13: Data Connections Exercise – Solutions

Chapter 4: Chains

Lecture 1: Introduction to LangChain Chains

Lecture 2: LLMChain Object

Lecture 3: SimpleSequentialChain

Lecture 4: SequentialChain

Lecture 5: LLMRouterChain

Lecture 6: TransformChain

Lecture 7: OpenAI Function Calling with LangChain

Lecture 8: MathChain

Lecture 9: Additional Chains – QA Documents

Lecture 10: Chains – Exercise

Lecture 11: Chains – Exercise Solution

Chapter 5: Memory

Lecture 1: Introduction to Memory

Lecture 2: ChatMessageHistory Object

Lecture 3: ConversationBufferMemory

Lecture 4: ConversationBufferWindowMemory

Lecture 5: ConversationSummaryMemory

Chapter 6: Agents

Lecture 1: Introduction to Agents

Lecture 2: Agent Basics

Lecture 3: Agent Tools

Lecture 4: Custom Tools

Lecture 5: Conversation Agents

Instructors

Jose Portilla
Head of Data Science at Pierian Training
Pierian Training
Data Science and Machine Learning Training

Rating Distribution

1 stars: 16 votes
2 stars: 24 votes
3 stars: 99 votes
4 stars: 665 votes
5 stars: 1361 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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