Building AI Applications with OpenAI APIs

Building AI Applications with OpenAI APIs

Instructor: Packt - Course Instructors

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12 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

12 modules

Gain insight into a topic and learn the fundamentals.

Intermediate level

Recommended experience

2 weeks to complete

at 10 hours a week

Flexible schedule

Learn at your own pace

What you'll learn

Develop a strong foundation in using OpenAI APIs for natural language processing tasks
Integrate ChatGPT with frameworks like Flask, Django, and Microsoft Office APIs
Implement payment systems using the ChatGPT API with Stripe

Skills you'll gain

Tools you'll learn

Details to know

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Assessments

12 assignments

Taught in English

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There are 12 modules in this course

This course focuses on integrating and leveraging OpenAI APIs to build real-world AI applications, with a focus on ChatGPT, DALL-E, and Whisper. It will help learners develop practical skills to apply AI models to NLP tasks, AI-generated art, and automated processes. By covering the most important AI development tools, the course provides a strong foundation for working with cutting-edge technology.

Throughout this course, you’ll dive into the core concepts and best practices of using OpenAI APIs. You’ll work on hands-on projects that integrate ChatGPT, Whisper, and DALL-E into real-world applications. Emphasizing practical experience, the course will take you through step-by-step tutorials that include code snippets, deployment techniques, and much more. What sets this course apart is its comprehensive, project-based approach. You won’t just learn the theory – you’ll also engage in creating real-world AI applications that can be deployed. We focus on desktop and web applications, ensuring you understand both the integration of APIs and the deployment process. This course is perfect for Python developers, software engineers, and anyone interested in AI development. A basic understanding of Python and APIs is required for the best learning experience.

In this section, we cover the ChatGPT API setup and basic response examples for NLP tasks.

What's included

2 videos4 readings1 assignment

2 videos Total 2 minutes

Course Overview 1 minute
Getting Started with the ChatGPT API for NLP Tasks - Overview Video 1 minute

4 readings Total 70 minutes

Introduction 10 minutes
Getting Started with the ChatGPT API 20 minutes
Setting Up Your Python Development Environment 20 minutes
A Simple ChatGPT API Response 20 minutes

1 assignment Total 10 minutes

Introduction to ChatGPT API and NLP Basics 10 minutes

In this section, we build a ChatGPT clone with Flask and OpenAI API, focusing on real-time chat and context retention.

What's included

1 video4 readings1 assignment

In this section, we build a Flask-based SaaS app integrating ChatGPT for code error fixes and deploy it to Azure for global access.

What's included

1 video4 readings1 assignment

1 video Total 1 minute

Creating and Deploying a Code Bug-Fixing Application Using Flask - Overview Video 1 minute

4 readings Total 80 minutes

Introduction 20 minutes
Using Text Areas and Containers 20 minutes
Testing the Code Bug Fixer App 10 minutes
Deploying the ChatGPT App to the Azure Cloud 30 minutes

1 assignment Total 10 minutes

Deploying and Enhancing a Bug-Fixing Web Application 10 minutes

In this section, we integrate Stripe API for payment processing and set up a SQL database to track user activity and transactions in a ChatGPT application.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Integrating the Code Bug-Fixing Application with a Payment Service - Overview Video 1 minute

6 readings Total 70 minutes

Introduction 10 minutes
Setting Up a SQL User Database 10 minutes
Getting a Browser Fingerprint ID 10 minutes
Implementing the Usage Counters 10 minutes
Adding Payments to a ChatGPT Application 20 minutes
Confirming User Payments 10 minutes

1 assignment Total 180 minutes

Securing and Managing Payment Integrations 180 minutes

In this section, we build a quiz generation app using Django and ChatGPT, focusing on AI integration, database storage, and practical web development techniques.

What's included

1 video6 readings1 assignment

1 video Total 1 minute

Quiz Generation App with ChatGPT and Django - Overview Video 1 minute

6 readings Total 120 minutes

Introduction 20 minutes
Creating the Exam App Frame and Views 10 minutes
Developing Django Templates 20 minutes
Running Your Django Application 20 minutes
Creating ChatGPT API Views with Django 20 minutes
Storing and Downloading Generated Quizzes 30 minutes

1 assignment Total 10 minutes

Web Application Development with Django 10 minutes

In this section, we explore building a language translation desktop app using ChatGPT API and Microsoft Word. Key concepts include API integration, Tkinter UI development, and NLP techniques for real-time document translation.

What's included

1 video3 readings1 assignment

In this section, we explore integrating Outlook API with GPT-4 to generate personalized email replies, using tkinter for a user-friendly interface and enhancing productivity through AI-driven automation.

What's included

1 video3 readings1 assignment

In this section, we explore building a PyQt desktop app with ChatGPT API integration, enabling essay generation and API token control for customized AI responses.

What's included

1 video4 readings1 assignment

1 video Total 1 minute

Essay Generation Tool with PyQt and the ChatGPT API - Overview Video 1 minute

4 readings Total 50 minutes

Introduction 10 minutes
Building the Application GUI with PyQt 20 minutes
Creating Essay Generation Methods with the ChatGPT API 10 minutes
Controlling the ChatGPT API Tokens 10 minutes

1 assignment Total 180 minutes

Essay Generation with PyQt and ChatGPT 180 minutes

In this section, we explore integrating DALL-E and ChatGPT APIs to automate PowerPoint creation.

What's included

1 video1 reading1 assignment

In this section, we explore using the Whisper API for speech-to-text conversion and multilingual translation, focusing on practical applications like voice transcription and long audio processing with PyDub.

What's included

1 video2 readings1 assignment

In this section, we explore selecting ChatGPT API models, optimizing chat completion parameters, and understanding AI model limitations for effective application development.

What's included

1 video4 readings1 assignment

In this section, we explore fine-tuning ChatGPT using JSONL data to create domain-specific models. Key concepts include dataset preparation, transfer learning, and deploying models for task-specific responses.