LangChain & LLMs - Build Autonomous AI Tools Masterclass

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

8:41:41

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1. Introduction

1. Welcome.mp4

01:02

2. Introduction & Course Pre-requisites.mp4

03:03

3. What Youll Build in this Course - Demo.mp4

08:07

4. Connect with Me.mp4

00:33

2. Download Course Resources

1.1 langchain-course-code.zip

1. Download Code.html

3. Development Environment Setup

1. Setup OpenAI API - API Key.mp4

06:15

2. Install Python - Full Instructions.mp4

02:45

3. Setup VS Code and Python Extensions.mp4

04:11

4. LangChain and LLMs - Deep Dive

1. Whats an LLM.mp4

08:46

2. LangChain Deep Dive - How it Works and Benefits.mp4

11:34

3. Setup Python Environment VS Code.mp4

05:40

4. LangChain Building Blocks - Components - Chains - Agents.mp4

12:39

5. LangChain Language Model Types.mp4

02:46

6. LangChain Language Model Types.mp4

07:31

5. Checkpoint

1. Checkpoint - How are Things.mp4

00:56

6. LangChain Prompts Template

1. LangChain Prompt Template - Introduction and Motivation.mp4

09:13

2. Prompt Templates - Hands-on.mp4

07:36

7. LangChain Parsers

1. Parsers - Introduction.mp4

12:52

2. Output Parsers - Hands-on.mp4

15:44

3. Pydantic Output Parser - Introduction.mp4

03:42

4. Pydantic Parser.mp4

13:45

5. LangChain Building Blocks Summary.mp4

00:10

8. LangChain Memory and Chains

1. LangChain Memory - Introduction.mp4

02:34

2. Memory Hands-On - ConversationBufferMemory.mp4

10:50

3. LangChain Chains - Introduction.mp4

08:11

4. LLMChain Hands-on.mp4

09:11

5. LLMChain Input Variables - Hands-on.mp4

05:57

6. Sequential Chain Hands-on.mp4

16:08

7. Streamlit Application - Lullaby Generator - Demo.mp4

03:29

8. Lullaby Application with Streamlit - Hands-on.mp4

18:08

9. LangChain Routers, Document Loading and Document Splitting

1. Router Chains - Introduction and Hands-on - Part 1.mp4

09:56

2. Router Chains - Hands-on - Part 2.mp4

17:13

3. LangChain Document Loading - Loading a PDF File.mp4

10:36

4. Document Splitting - An Overview.mp4

04:44

5. CharacterTextSplitter - Hands-on.mp4

04:17

6. RecursiveCharacterTextSplitter - Hands-on.mp4

09:14

10. LangChain Embeddings and Vectorstores

1. Vectorstore & Embeddings - Full Overview.mp4

07:35

2. Embeddings and Semantic Similarity Test - Hands-on.mp4

08:10

3. Saving Embeddings to Chroma DB & Similarity Search.mp4

11:29

4. LangChain Retrievers.mp4

13:03

11. LangChain Agents - Deep Dive

1. Agents - Introduction.mp4

03:25

2. Agents - Motivation & Creating a Tool for an Agent.mp4

10:13

3. Built-in Math Tool & Testing an Agent.mp4

13:38

4. Adding a General Knowledge Tool for Our Agent.mp4

09:06

5. Agents Types.mp4

03:12

6. Looking Into the Agents Prompt Template.mp4

04:55

7. Conversational Agent and Memory - Hands-on.mp4

08:45

8. LangChain Docstore Agent.mp4

09:01

9. Self-Ask-with-Search Agent.mp4

08:17

10. What Weve Learned So Far - Recap.mp4

03:02

12. [REAL-WORLD] App - PDF Extractor

1. Bill Extractor - Project Introduction and Functions Setpu.mp4

11:06

2. Front-end Setup and Testing.mp4

10:58

13. [REAL-WORLD] App - Newsletter Generator

1. Newsletter Generator Demo.mp4

02:17

2. Setup the Search Function with Serper API Key and Testing.mp4

07:14

3. Picking the Best Articles Function and Testing.mp4

06:02

4. Article Summary.mp4

10:38

5. Fixing a Python Libmagic Bug.mp4

03:39

6. Generating the Newsletter.mp4

06:05

7. Creating the Frontend with Streamlit - Final Result.mp4

06:51

14. [REAL-WORLD] App - Multi-document Chatbot

1. Document Chatbot - Resume Analyzer Bot.mp4

08:49

2. Document Chatbot with LangChain QAChain.mp4

08:56

3. Multi-Document Chatbot with Streamlit - Full Chatbot.mp4

17:56

15. [REAL-WORLD] App - Image to Text

1. Image to Recipe App - Demo.mp4

03:00

2. Setup HuggingFace Token & Generating Text from an Image.mp4

11:11

3. Text to Speech.mp4

06:12

4. Generating Recipes from Image - Image Captioning.mp4

07:28

5. Adding a Frontend with Streamlit - Text to Recipe Application - Final Result.mp4

06:44

16. Next Steps

1. Next Steps.mp4

03:26

Description

Mastering AI Development: Hands-On Projects & Deep Insights with Python, LangChain & OpenAI's Advanced LLMs

What You'll Learn?

Grasp LangChain & LLMs: Dive deep into their functionalities and core mechanisms.
Master LangChain Modules: Understand Parsers, Memory, Routers, and their interplay.
Hands-on Tool Creation: Learn to build tools using LangChain, Embeddings, and Document Splitting.
Craft Real-World AI Apps: Develop applications like Bill Extractor and Multi-doc Chatbot.
Optimize AI Performance: Learn best practices for efficient, scalable LangChain implementations.

Who is this for?

Data Scientists: Individuals keen on integrating advanced AI models and LangChain tools into their data-driven projects for enhanced insights and automation.

Product Managers: Professionals looking to incorporate cutting-edge AI features into their products, enhancing user experience and solution capabilities.

AI Enthusiasts: Anyone passionate about the AI realm, eager to expand their knowledge horizon with the intricacies of LangChain and real-world applications.

Tech Innovators: Entrepreneurs and startup founders aiming to leverage LangChain's capabilities to pioneer next-generation solutions in the market.

Programmers: Coders and developers aiming to diversify their skill set by mastering LangChain, opening doors to novel AI-driven development opportunities.

What You Need to Know?

Some programming experience required

We'll be using Python in this course; although you don't need to know Python for this course, you do however need to have some programming experience

More details

Description
Welcome to the ultimate guide on building autonomous AI tools using LangChain, OpenAI APIs and LLMs.
Whether you're an AI novice or a tech enthusiast eager to upgrade your skills, this course will help you harness the power of large language models (LLMs) like GPT-4 to create next-generation applications.

Dive deep into the transformative world of LangChain and Large Language Models (LLMs) with this comprehensive course tailored for novices and seasoned professionals.
This meticulously designed curriculum offers you a step-by-step journey through the unique facets of LangChain â€” from understanding its intricate layers, such as Parsers, Memory, and Routers, to mastering the tools it offers like Vectorstores and Embeddings.

But we donâ€™t stop at theory.

Our hands-on approach ensures you apply your newfound knowledge through engaging real-world applications.
Discover how to extract crucial information with a Bill Extractor Application, engage users through a Multi-document Chatbot, and convert imagery into textual data.

What You'll Learn:
Dive deep into the world of LangChain and LLMs.
Unlock the mysteries of Large Language Models (LLMs) and their application.
Craft several real-world projects that showcase the true potential of LangChain and LLMs.
Gain insights from detailed case studies across diverse industries.
By the end of this course, you won't just understand LangChain; you'll be ready to implement it in diverse scenarios, pushing the boundaries of what's possible with AI.
Who this course is for:
Data Scientists: Individuals keen on integrating advanced AI models and LangChain tools into their data-driven projects for enhanced insights and automation.
Product Managers: Professionals looking to incorporate cutting-edge AI features into their products, enhancing user experience and solution capabilities.
AI Enthusiasts: Anyone passionate about the AI realm, eager to expand their knowledge horizon with the intricacies of LangChain and real-world applications.
Tech Innovators: Entrepreneurs and startup founders aiming to leverage LangChain's capabilities to pioneer next-generation solutions in the market.
Programmers: Coders and developers aiming to diversify their skill set by mastering LangChain, opening doors to novel AI-driven development opportunities.

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Paulo Dichone | Software Engineer, AWS Cloud Practitioner & Instructor

Instructor's Courses

Hi, I'm Paulo. I am passionate about teaching people Android, Java, and Flutter development. I have taught over 200,000 students in 175 countries worldwide. I have extensive experience in Mobile App Development (Android and iOS) Web Development, and AWS Cloud.My goal is to make you a great developer and AWS cloud Practitioner no matter your experience. In addition, I enjoy spending time with my growing family, playing the guitar mandolin, and traveling in my spare time. I look forward to helping you become the best developer & AWS Cloud Practitioner you can be. If you are new to Android development and my courses, I suggest you start with my most comprehensive Android course: 1. The Comprehensive 2020 Android Development Masterclass - You'll learn everything you need to know to get started with Android Development - no experience required!Next: 2. The Complete Intermediate Android Masterclass - You'll learn intermediate Android topics such as Work manager API, ROOM Database, and working in the background in Android.Cross-platform Development courses & Web-related (Build iOS and Android Mobile Apps): 3. Flutter & Dart - The Complete Flutter App Development Course - Learn the Dart Programming language and build iOS and Android Apps with a single codebase. 4. AngularDart - Build Dynamic Web Apps with Angular & Dart - Unleash the power of one of the most used web development frameworks, Angular and Dart, to build dynamic web apps. 5. TornadoFX - Build JavaFX Applications With Kotlin - Leverage the modern programming language, Kotlin, and JavaFX libraries to build stunning desktop appsFor AWS Cloud Courses: 1. Amazon EC2 Master Class (with Auto Scaling & Load Balancer) 2. Amazon ECS & Fargate Masterclass 3. Amazon EKS with Kubernetes 4. AWS AppSync & Amplify 5. AWS Lambda and the Serverless FrameworkPurely Java-based courses:6. Java Masterclass - Beginner to Expert Guide - Want to learn Java from the ground up? Then this is the course you'll need.7. Java Design Patterns - The Complete Masterclass - Learn how to build reliable software using well-tested, proven Design Patterns.I look forward to seeing you in my courses.

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