Packt

Building AI Applications with OpenAI APIs

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Packt

Building AI Applications with OpenAI APIs

Included with Coursera Plus

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
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

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Recently updated!

January 2026

Assessments

12 assignments

Taught in English

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There are 12 modules in this course

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

What's included

2 videos4 readings1 assignment

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

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

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

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

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.

What's included

1 video2 readings1 assignment

Instructor

Packt - Course Instructors
Packt
1,374 Courses 366,069 learners

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