Building AI Applications with OpenAI APIs
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Building AI Applications with OpenAI APIs
Included with
Ask Coursera
Recommended experience
Recommended experience
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
Details to know
January 2026
12 assignments
See how employees at top companies are mastering in-demand skills
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
1 video•Total 1 minute
- Building a ChatGPT Clone - Overview Video•1 minute
4 readings•Total 60 minutes
- Introduction•20 minutes
- Frontend HTML Generation•10 minutes
- Enhancing the ChatGPT Clone Design•20 minutes
- ChatGPT Clone Conversation Retention•10 minutes
1 assignment•Total 10 minutes
- Building a ChatGPT Clone Fundamentals•10 minutes
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
1 video•Total 1 minute
- Language Translation Desktop App with the ChatGPT API and Microsoft Word - Overview Video•1 minute
3 readings•Total 45 minutes
- Introduction•10 minutes
- Building a User Interface with Tkinter•15 minutes
- Translating Word Text with GPT-3.5-Turbo•20 minutes
1 assignment•Total 10 minutes
- Language Translation App Fundamentals•10 minutes
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
1 video•Total 1 minute
- Building an Outlook Email Reply Generator - Overview Video•1 minute
3 readings•Total 50 minutes
- Introduction•20 minutes
- Accessing Email Data with the win32com Client•10 minutes
- Generating Automatic Email Replies•20 minutes
1 assignment•Total 10 minutes
- Automating Email Responses with AI and Python•10 minutes
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
1 video•Total 1 minute
- Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator - Overview Video•1 minute
1 reading•Total 30 minutes
- Integrating the ChatGPT and DALL-E APIs: Building an End-to-End PowerPoint Presentation Generator - Reading•30 minutes
1 assignment•Total 10 minutes
- AI-Powered Presentation Development•10 minutes
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
1 video•Total 1 minute
- Speech Recognition and Text-to-Speech with the Whisper API - Overview Video•1 minute
2 readings•Total 40 minutes
- Introduction•20 minutes
- Building a Voice Transcription Application•20 minutes
1 assignment•Total 10 minutes
- Speech Recognition and Text-to-Speech Fundamentals•10 minutes
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
1 video•Total 1 minute
- Choosing the Right ChatGPT API Model - Overview Video•1 minute
4 readings•Total 75 minutes
- Introduction•5 minutes
- ChatGPT API models - GPT-3.5, GPT-4, and beyond•20 minutes
- Using Chat Completion Parameters•30 minutes
- OpenAI Embeddings•20 minutes
1 assignment•Total 10 minutes
- Selecting Appropriate AI Models for Specific Tasks•10 minutes
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.
What's included
1 video2 readings1 assignment
1 video•Total 1 minute
- Fine-Tuning ChatGPT to Create Unique API Models - Overview Video•1 minute
2 readings•Total 40 minutes
- Introduction•20 minutes
- Building and Using the Fine-Tuned Model•20 minutes
1 assignment•Total 10 minutes
- Mastering ChatGPT Fine-Tuning Techniques•10 minutes
Instructor
Explore more from Software Development
- Status: Free Trial
- Status: Preview
Course
Why people choose Coursera for their career
Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.
More questions
Financial aid available,