Master ChatGPT and OpenAI APIs By Building AI Tools in Python

Master ChatGPT and OpenAI APIs By Building AI Tools in Python

by Paulo Dichone
Released February 2024
Publisher(s): Packt Publishing
ISBN: 9781835885628

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Video description

Embark on a transformative learning experience with 'Master ChatGPT and OpenAI APIs By Building AI Tools in Python.' This immersive course takes you from the basics of ChatGPT and OpenAI's potent APIs through a journey of building dynamic AI-powered tools.

Discover the magic behind ChatGPT's conversational prowess and dive deep into the neural networks and transformers that make it tick. You'll start by creating and managing your ChatGPT account, understanding the model's anatomy, and grasping the limitations and capabilities of AI language models. Transitioning from theory to hands-on practice, the course guides you through content creation, code generation, and the intricacies of prompt engineering.

Moreover, you'll venture into the realms of generative AI with Midjourney, craft AI-driven applications, and harness the synergy of OpenAI and DALL-E for on-the-fly image generation. This course demystifies the AI concepts crucial in today's technology landscape, providing you with the skills to innovate and excel in the burgeoning field of AI.

What you will learn

  • Navigate the foundational elements of ChatGPT and OpenAI APIs
  • Generate creative content and code with ChatGPT's language model
  • Design and implement AI applications with user-friendly interfaces
  • Master the art of prompt engineering for optimized AI interactions
  • Build AI-powered tools and images using OpenAI and DALL-E
  • Develop secure, intelligent applications with advanced Python techniques

Audience

This course welcomes everyone from entrepreneurs to artists and developers, aiming to learn about cutting-edge AI technologies and build AI-powered applications. Basic programming knowledge is preferred but not mandatory, making this course accessible to a wide range of learners.

About the Author

Paulo Dichone: Paulo Dichone, a seasoned software engineer and AWS Cloud Practitioner, is renowned for his expertise in Android, Flutter, and AWS, as well as being a best-selling instructor. Paulo has successfully imparted his knowledge to over 200,000 students across 175 countries, specializing in mobile app development for Android and iOS, web development, and AWS Cloud. His teaching philosophy centers on empowering students to excel as developers and AWS cloud practitioners, regardless of their prior experience. Beyond his professional pursuits, Paulo is devoted to his family, enjoys playing the guitar and mandolin, and loves to travel. He is committed to guiding students to achieve their highest potential in the tech industry.

Table of contents

  1. Chapter 1 : Introduction
    1. Introduction Course Structure
    2. Demo - Let's See ChatGPT and OpenAI APIs in Action!
    3. How To Get The Most Out of This Course
  2. Chapter 2 : ChatGPT - An Introduction - Use Cases, AI History, ChatGPT Account Creation
    1. What Is ChatGPT - An Introduction
    2. ChatGPT Use-Cases
    3. Create a ChatGPT Account ChatGPT Demo
    4. Free VS Paid ChatGPT Subscriptions
    5. ChatGPT and AI Brief History
    6. Section Summary
  3. Chapter 3 : ChatGPT - A Deep Dive How It Really Works
    1. ChatGPT Anatomy
    2. ChatGPT Anatomy, Data Collection and Tokenizer
    3. The Neural Network and The Transformer - Deep Dive
    4. Tokens and ChatGPT Language Model
    5. Limitations and Capabilities of ChatGPT - An Overview
    6. Hands-On - Content Creation - Use ChatGPT to Create a Blog Post
    7. [TASK] - Your Turn - Content Creation with ChatGPT
  4. Chapter 4 : ChatGPT and Creative Work - Creating Children's Books with ChatGPT
    1. Creating the Outline for Children's Book with ChatGPT
    2. Adding a Memorable Character to the Story
    3. Writing the Opening Chapter
    4. Writing the Full Story Making Improvements
    5. Finalizing the Final Book
  5. Chapter 5 : ChatGPT and Rapid Skills Acquisition
    1. ChatGPT for Rapid Skills Acquisition - Introduction
    2. Using Pain-Points for Rapid Skills Acquisition
  6. Chapter 6 : ChatGPT Code Generation - Use ChatGPT to Generate and Debug Code
    1. Code Generation with ChatGPT - Introduction and Explanations
    2. Create a Java Password Generator with the Help of ChatGPT
    3. Create an HTML Portfolio Page with the Help of ChatGPT
    4. Create a Weather Web App with the Help of ChatGPT
    5. ChatGPT Code Generation for a Chrome Extension - Overview
    6. How to Develop a SaaS Product from Scratch with ChatGPT
  7. Chapter 7 : Mastering Prompt Engineering and How To Craft the Best Prompts
    1. What is a Prompt and Prompt Engineering
    2. Prompt Components and Prompt Engineering
    3. A Prompt Breakdown
    4. Elements of a Prompt
    5. Frameworks for Prompt Engineering - Introduction
    6. The Clarifying Objective Framework
    7. The Iterative Refinement Framework
    8. The Reverse Engineer Framework
    9. The Question-Answer Framework
    10. The Instruction-Based Framework
    11. The Conversational Context Framework
    12. The Narrowing Down Framework
    13. The Role-play Framework
    14. The Feedback Loop Framework
    15. The Emotion-Driven Framework
    16. The Hypothesis Framework
    17. The Comparative Framework
    18. The Assumptive Framework
    19. The Perspective-Switching Framework
  8. Chapter 8 : Generative AI - Creating Visual Content with Midjourney
    1. Image Generation with AI - Introduction
    2. What is Midjourney
    3. Generate a First AI Image with Midjourney
    4. Midjourney Parameters - Aspect Ratio
    5. Saving Images in Midjourney
    6. Midjourney Parameter - Chaos
    7. Side-by-side Comparison of Chaos Images
    8. Midjourney Parameter - Quality
    9. Midjourney Parameter - Stop
    10. Midjourney Parameter - Stylize
    11. Midjourney Parameter - Tile
    12. Midjourney Parameter - Version and Settings
    13. Midjourney Parameter - No
    14. Section Summary
  9. Chapter 9 : Midjourney Prompt Engineering - Crafting the Best Prompts For Optimal Images
    1. Midjourney Prompting - Introduction
    2. Passing Image URL in Prompts
    3. Separate Two Concepts in a Prompt
    4. Hands-On: Midjourney Themes
    5. [TASK] - Your Turn - Apply Themes in Your Domain
    6. Midjourney Design Styles
    7. Midjourney Engines
    8. Drawing and Art Medium
    9. Lighting
    10. Realistic Photos with Midjourney
    11. Section Summary
  10. Chapter 10 : The OpenAI API - Leveraging the ChatGPT Engine to Build AI Powered Applications
    1. The OpenAI API Course Structure Checkpoint
    2. Introduction to OpenAI API - API Keys and Documentation Overview
    3. OpenAI Models - Overview
    4. Writing our First API Request with cURL
    5. Dev Environment Setup Instructions - Win/Mac/Linux
    6. Set up VS Code and Python Extensions
    7. Setup Python Environment in VS Code
    8. Hitting the ChatCompletion OpenAI API Endpoint with Python - Full Setup
    9. Hitting the ChatCompletion OpenAI API Endpoint in Javascript
    10. [PROJECT] - Recommendation Engine with OpenAI - Setup
    11. Recommendation Engine App - Render Function
    12. Recommendation Engine App Testing
    13. Recommendation Engine App - Improvements - Adding Numbers and CSS Changes
    14. Recommendation Engine App - Styling and Final Touches
    15. Section Summary
  11. Chapter 11 : Hands-On: OpenAI API - Build a Cover Letter Web App
    1. Cover Letter Python Project Setup
    2. Personalize the Cover Letter - Adding parameters
    3. Creating Input and Customizing the Cover Letter
    4. Showing the Cover Letter on the Page
  12. Chapter 12 : Hands-On: OpenAI API - Build a Virtual Realtor Web App in Python
    1. The Virtual Realtor App - Setting Up the User Interface
    2. Pulling In the Answers as a Stream
  13. Chapter 13 : Hands-On: OpenAI API and DALL-E - Generating Images on the Fly with DALL-E
    1. OpenAI and DALL-E - OpenAI API Endpoint for Image Generation
    2. Generating Images with OpenAI Image Generator Endpoint - DALL-E Powered
    3. Demo of the Yogi Droid Project
    4. [PROJECT] - Generating and Retrieving Yogi Data
    5. Showing Yogi Data on the Page
    6. Generating an Image From Text
    7. Showing More Data on the Page Final Touches
    8. Section Summary
  14. Chapter 14 : OpenAI API the LangChain Framework - Deep Dive
    1. What Is LangChain?
    2. LangChain Website - Documentation
    3. How LangChain Works
    4. How Vector Search Works and LangChain Use-Cases
    5. Generating a Twitter Handle with LangChain
    6. LangChain Building Blocks and Quickstart
    7. The LangChain ChatModel
    8. LangChain Modules
    9. Prompt Templates and Chains
    10. LangChain Agents - Full Demo
    11. LangChain TextLoaders
    12. LangChain CSV Loaders
    13. LangChain, ChatGPT, and OpenAI API And Our Own Documents - Query Your Own Docs
    14. Testing our Command Line ChatBot
  15. Chapter 15 : [PROJECT] LangChain OpenAI API ChatGPT - Youtube Assistant Web App
    1. Youtube Assistant Project - Setup
    2. Testing the Youtube Assistant Project - Console Testing
    3. Youtube Assistant Web App - Front-end Final Touches with Streamlit
  16. Chapter 16 : Next Steps
    1. Where to Go From Here
    2. Next Steps

Product information

  • Title: Master ChatGPT and OpenAI APIs By Building AI Tools in Python
  • Author(s): Paulo Dichone
  • Release date: February 2024
  • Publisher(s): Packt Publishing
  • ISBN: 9781835885628