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ChatGPT: Intelligent Apps with OpenAI, Azure & No-Code Tools
Rating: 4.5 out of 5(23 ratings)
4,552 students

ChatGPT: Intelligent Apps with OpenAI, Azure & No-Code Tools

Master ChatGPT and OpenAI's power to build apps with Python, Azure Functions, Power Automate, Power Apps, No-Codes!
Last updated 4/2025
English

What you'll learn

  • Learn to create serverless ChatGPT applications and integrating ChatGPT with various platforms such as Power Automate, Power Apps, and Bubble.
  • Get an overview of OpenAI and its mission to create safe and beneficial artificial intelligence.
  • Learn how to test and deploy your application
  • Learn about the capabilities of ChatGPT and how it differs from other natural language processing technologies.
  • Understand how ChatGPT and GPT-3 models function. Create and manage OpenAI API calls using Python. Deploy and test Azure Functions integrated with ChatGPT
  • Automate tasks using Microsoft Power Automate and Power Apps. Build no-code AI apps with Bubble. io

Course content

6 sections45 lectures4h 36m total length
  • Introduction to Course2:23
  • How to use ChatGPT13:06
  • What is OpenAI and ChatGPT3:50
  • GPT3 Models4:00
  • GPT3 Davinchi7:57
  • Prompt Optimization8:25
  • Tokens5:51

    Explore how tokens break input text into words, punctuation, and numbers, how the model processes tokens to generate outputs, and how tokenization affects prompts and responses in ChatGPT.

  • Temperature4:00

Requirements

  • Familiarity with cloud computing platforms such as Microsoft Azure, as the course will cover the deployment and hosting of the ChatGPT and OpenAI API on Azure Functions.

Description

Course Introduction

In this hands-on and comprehensive masterclass, you'll explore the complete journey of working with OpenAI's ChatGPT—from understanding its core functionalities and API usage to deploying it in real-world applications across platforms. Whether you're a Python enthusiast, a Microsoft Azure user, or a no-code builder using Bubble or Power Apps, this course arms you with the knowledge and confidence to build intelligent, responsive apps powered by AI.

Section 1: Getting Started with ChatGPT and OpenAI

This foundational section gives you a strong grounding in ChatGPT, OpenAI, and their capabilities. Students are introduced to the evolution of GPT-3, including models like Davinci, and important operational concepts like prompt optimization, tokens, and temperature. These lectures build the theoretical understanding needed before jumping into implementation.

Section 2: Setting Up Your Development Environment

Here, students get step-by-step instructions for preparing a development environment. From setting up OpenAI and Azure accounts to installing Python, Visual Studio Code, and configuring tools—this section ensures every learner, regardless of experience level, can comfortably follow along. By the end, you'll be ready to integrate Python scripts with the OpenAI API.

Section 3: Building ChatGPT-Enabled Azure Functions

Dive deep into cloud integration by creating and deploying Azure Functions that utilize the ChatGPT API. You'll test your functions with Postman, manage response data, and deploy your services to the cloud. This section bridges development with cloud deployment and enables scalable applications.

Section 4: Automating with Microsoft Power Platform

Leverage the power of Microsoft 365 by integrating ChatGPT with Power Automate and Power Apps. You’ll learn to create custom flows, automate tasks, and embed AI into low-code solutions—making it easier to roll out AI features across business workflows and applications.

Section 5: No-Code ChatGPT Applications using Bubble. io

This section walks through building a chatbot-powered application using Bubble. io. Students create a dynamic Meal Planner app, connect to ChatGPT's API, pass user input, modify prompts, and handle responses—all with no coding. This is ideal for entrepreneurs and creators looking to build MVPs quickly.

Section 6: Final Touches and Course Wrap-Up

In the final section, students complete their applications, test everything end-to-end, and prepare their projects for real-world use. The course concludes with a recap and guidance on where to go next, from enhancing prompt engineering to deploying more advanced use cases.

Conclusion

By the end of this course, you'll have hands-on experience building intelligent applications powered by ChatGPT across several platforms. Whether you're a coder or non-coder, this masterclass demystifies AI integration and empowers you to create value-driven solutions for personal, business, or enterprise use cases.

Who this course is for:

  • Developers who want to learn how to create and integrate conversational AI models into their applications using ChatGPT and OpenAI API.
  • Business analysts who want to understand how ChatGPT can be used to automate customer service and improve customer experience.
  • Entrepreneurs who want to create their own chatbots and conversational AI applications using ChatGPT and OpenAI API.