Beginner'S Guide To Chatgpt And Openai Python Api Bootcamp

Harnessing the Power of ChatGPT and OpenAI Python API

What you'll learn

Students will learn how to design and implement chat-based interfaces that enable users to engage in dynamic conversations with their applications.

Students will understand how to integrate ChatGPT, a powerful language model, into their applications to enable natural language understanding and generation.

Students will learn how to leverage generative AI techniques to generate text, images, and multimedia content.

Students will acquire the knowledge and skills necessary to package their applications for deployment and choose appropriate hosting platforms.

Requirements

Familiarity with Python and JavaScript programming languages is required. You should have a basic Know how of fundamental programming concepts such as variables, functions, loops, and conditionals.

You will need a recent 64-bit Windows, Mac, or Linux machine with a minimum of 8 GB RAM to effectively follow along with the course exercises and run the necessary software.

Description

Introduction Welcome to the course "Beginner's Guide to ChatGPT and OpenAI Python API Bootcamp"! This course is designed to provide you with the knowledge and skills to create interactive applications using the power of ChatGPT and generative AI. Whether you are a developer looking to enhance your app with conversational interfaces or an AI enthusiast eager to explore the capabilities of generative models, this course will empower you to build engaging and dynamic apps.Course Overview This course covers a wide range of topics related to building apps with ChatGPT and generative AI. Here is an overview of the key areas we will explore:1. Introduction to ChatGPT and Generative AIUnderstanding the fundamentals of ChatGPT and generative AI Understanding what OpenAI is and the models that are available in OpenAI. Exploring real-world applications and use cases of generative models2. Setting Up Your Development EnvironmentBasic requirements for the course Installing and configuring Python and Node Js Setting up Bubble and Airtable. Setting up an OpenAI account for API Access Microsoft Azure account creation and Azure Function Setup Visual Studio Code Installation and Setup Microsoft 365 E5 Account Creation3. Basic Programming KnowledgeBuilding a foundation in Python and JavaScript programming languages Refreshing key programming concepts and syntax Understanding how to integrate ChatGPT into your applications4. Designing Chat and Image-based ApplicationsCreating conversational interfaces for your apps Implementing chat functionality using ChatGPT Managing user interactions and maintaining conversational context Integrating ChatGPT and Power Automate to create MS Teams Chatbot. Making an app extension in Outlook to Summarize Emails. Creating a Travel Itinerary website using Bubble Creating Stock Photo Generator app using Power Apps. Building a Cover Letter Application in Bubble.5. Enhancing Your Apps with Generative AILeveraging generative AI to augment your application's capabilities Generating text, images, and other media using generative models Improving the quality and diversity of generative outputs6. Deploying Your AppsPreparing your applications for deployment Best practices for deploying and maintaining your apps7. Advanced Topics and Future DevelopmentsExploring advanced techniques in generative AI and ChatGPT Discussing emerging trends and future advancements in the fieldPrerequisitesTo fully benefit from this course, you should have the following prerequisites:1. Basic Programming Knowledge: Familiarity with Python and JavaScript programming languages is required. You should have a basic Know how of fundamental programming concepts such as variables, functions, loops, and conditionals.2. System Requirements: You will need a recent 64-bit Windows, Mac, or Linux machine with a minimum of 8 GB RAM to effectively follow along with the course exercises and run the necessary software.Course Materials Throughout this course, you will have access to a variety of learning materials, including:1. Video Tutorials: Step-by-step video tutorials will guide you through the course content, explaining key concepts and demonstrating practical examples.2. Hands-on Exercises: Practice exercises will be provided to reinforce your understanding of the course material. These exercises will give you the opportunity to apply what you've learned in building your own interactive applications.3. Documentation and Code Samples: Detailed documentation and code samples will be available to supplement the video tutorials and provide additional reference materials.What Students Will Learn in This Course?By the end of this course, students will achieve the following learning objectives:1. Build interactive applications with conversational interfaces: Students will learn how to design and implement chat-based interfaces that enable users to engage in dynamic conversations with their applications.2. Integrate ChatGPT into applications: Students will understand how to integrate ChatGPT, a powerful language model, into their applications to enable natural language understanding and generation.3. Utilize generative AI to enhance application capabilities: Students will learn how to leverage generative AI techniques to generate text, images, and multimedia content, thereby enhancing the functionality and interactivity of their applications.4. Deploy and maintain applications: Students will acquire the knowledge and skills necessary to package their applications for deployment and choose appropriate hosting platforms, ensuring their apps are accessible to users and easy to maintain.Who is this course for?This course is designed for individuals with a variety of backgrounds who are interested in building applications with ChatGPT and generative AI. The content of this course will be particularly valuable for the following target learners:1. Developers: If you are a developer looking to enhance your applications with conversational interfaces and leverage the power of generative AI, this course is for you. You may already have experience with Python and JavaScript programming languages and want to expand your skillset to include the integration of ChatGPT and generative models.2. AI Enthusiasts: If you are passionate about artificial intelligence and want to explore the capabilities of generative models, this course will provide you with practical knowledge and hands-on experience in developing applications with ChatGPT. You may have a basic understanding of programming and want to dive deeper into the world of AI-driven application development.3. App Designers: If you are involved in the design and user experience aspects of application development, this course will help you understand how to create engaging conversational interfaces and incorporate generative AI to enhance the user experience. You may have limited programming experience but a strong interest in integrating AI capabilities into your app designs.4. Tech Entrepreneurs: If you are an entrepreneur or startup founder in the tech industry, this course will provide you with the necessary skills to build innovative and cutting-edge applications. You will gain insights into leveraging ChatGPT and generative AI to create unique and marketable products that stand out in the competitive landscape.Regardless of your background, this course will equip you with the knowledge and practical skills needed to develop interactive and dynamic applications with ChatGPT and generative AI. You will gain a deep understanding of how to create conversational interfaces, integrate ChatGPT into your apps, utilize generative AI techniques, and deploy your applications for real-world use. By the end of this course, you will have gained the skills and knowledge to develop powerful and engaging applications using ChatGPT and generative AI. Get ready to unlock the potential of conversational interfaces and generative models!

Overview

Section 1: Introduction

Lecture 1 App Development Introduction

Lecture 2 Roadmap Building ChatGPT Apps

Lecture 3 Examples ChatGPT Solutions

Lecture 4 Tech Stack ChatGPT Apps

Section 2: Discussion About OpenAI and ChatGPT key Concepts

Lecture 5 Introduction to OpenAI

Lecture 6 GPT3 Models Pros and Cons and Davinci Capabilities

Lecture 7 Tokenization and Temperature Control

Section 3: Prework (Installation and Setup)

Lecture 8 OpenAI API Account Sign Up

Lecture 9 Azure Account Creation

Lecture 10 Azure Function Resource Creation

Lecture 11 Python Installation

Lecture 12 Visual Studio Code Installation and Configuration

Lecture 13 Microsoft 365 E5 Account Creation

Section 4: Build a ChatGPT Wrapper API (Serverless)

Lecture 14 Python Access to OpenAI API

Lecture 15 ChatGPT Response Management

Lecture 16 Basic Azure Function Creation

Lecture 17 Azure Function Deployment to Make it Live

Lecture 18 Postman for Serverless Function Testing

Lecture 19 OpenAI ChatGPT and Azure Functions Integration

Lecture 20 Deploying OpenAI ChatGPT to Azure Functions

Section 5: ChatGPT and Power Automate

Lecture 21 Power Automate Flow Creation

Lecture 22 HTTP Request OpenAI ChatGPT Integration

Lecture 23 Creating Teams Chatbot with OpenAI ChatGPT

Lecture 24 Testing and Publishing Teams ChatGPT Chatbot

Section 6: ChatGPT and Power Apps

Lecture 25 Basic Power Apps Creation

Lecture 26 OpenAI ChatGPT Integration in Power Apps

Lecture 27 Power Apps Q&A Bot Implementation

Section 7: ChatGPT and Outlook

Lecture 28 Office Add-In Environment Setup

Lecture 29 Office Outlook Project Creation

Lecture 30 Outlook Add-In Launch

Lecture 31 Running ChatGPT API from Outlook

Lecture 32 Resolving CORS and Security Errors

Lecture 33 Email Body Transfer to ChatGPT

Lecture 34 Pasting Response in Outlook Add-In

Section 8: ChatGPT and Bubble

Lecture 35 Bubble Application Creation

Lecture 36 Bubble-ChatGPT API Connection

Lecture 37 Dynamic Prompt and Model Modification

Section 9: ChatGPT and Airtable

Lecture 38 Airtable Context Setup

Lecture 39 Script for ChatGPT API Calling

Lecture 40 Variable-Based ChatGPT Prompt Modification

Lecture 41 ChatGPT Marketing Email Generator Testing

Section 10: Travel Itinerary-ChatGPT App

Lecture 42 Front-End Setup

Lecture 43 Second Page Creation

Lecture 44 ChatGPT Workflow Creation

Lecture 45 Linking Pages and Testing

Lecture 46 ImageAI and OpenAI photo Integration

Lecture 47 Text and Photo Testing for ChatGPT App

Section 11: Cover Letter Generator-ChatGPT-Bubble App

Lecture 48 Cover letter Screen Creation

Lecture 49 ChatGPT API Linking and Workflow Creation

Lecture 50 ChatGPT Testing with Different Description

Section 12: Splash Images-ChatGPT App

Lecture 51 Image API DALLE Use

Lecture 52 Front-End Creation

Lecture 53 ChatGPT API and Power Automate Integration and App Testing

Section 13: Conclusion

Lecture 54 Conclusion

Developers that looking to enhance their applications with conversational interfaces and leverage the power of generative AI,AI Enthusiasts that are passionate about artificial intelligence and want to explore the capabilities of generative models.,App Designers that are involved in the design and user experience aspects of application development.,Tech Entrepreneurs or startup founder in the tech industry.