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

Name: ChatGPT: Intelligent Apps with OpenAI, Azure & No-Code Tools
Rating: 4.5 (23 reviews)

Master ChatGPT and OpenAI's power to build apps with Python, Azure Functions, Power Automate, Power Apps, No-Codes!

Created byEDUCBA Bridging the Gap

Last updated 4/2025

English

English [Auto],

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 sections • 45 lectures • 4h 36m total length

Introduction to Course2:23
Discover how ChatGPT powers business apps, with over 50,000 companies adopting it and 30 million daily interactions, plus no-code integration with Power Apps, Teams, Bubble, and Web Flow.
How to use ChatGPT13:06
Learn the basics of ChatGPT and OpenAI, including prompts, tokens, and modules, and how to integrate them into apps; explore practical uses like emails, lesson plans, and translations.
What is OpenAI and ChatGPT3:50
Explore how OpenAI provides accessible AI models via APIs, including GPT-3, DALL-E, and Codex, for natural language tasks, image generation, and coding in practical business applications.
GPT3 Models4:00
Explore the four GPT-3 submodels, with DaVinci as the most capable option, while Curie, Babbage, and Ada offer cost- or task-specific strengths, including longer prompts.
GPT3 Davinchi7:57
Explore how the ChatGPT DaVinci model delivers text generation, translation, question answering, summarization, sentiment analysis, text classification, image captioning, and dialogue generation.
Prompt Optimization8:25
Optimize input prompts to boost ChatGPT output quality and relevance by balancing clarity, length, and tone. Learn through examples like news headlines, customer emails, and philosophical prompts.
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
Temperature is a hyper parameter that controls randomness and creativity in model outputs. Low temperatures are conservative; high temperatures are creative, unpredictable, and adjustable via the OpenAI playground and APIs.

Introduction to Setting up Enviornment1:04
Set up the working environment by signing up for OpenAI API and Azure, create an Azure function, install Python and Visual Studio Code, and configure Microsoft 365 E5 for ChatGPT.
OpenAI API Account6:08
Learn to create and verify an OpenAI API account, sign up and log in, and generate and save API keys for access to models like DaVinci, Babbage, and Ada.
Azure Account7:49
Learn to set up an Azure account to run Azure Functions and access the OpenAI API via cloud computing, including signing up, verification, and pay-as-you-go billing.
Azure Function Resource5:50
Learn how to create an Azure function resource by configuring a function app with Python runtime, Linux hosting, and a consumption plan, then deploy and create the function.
Python Installation3:28
Install python 3.10 on Windows, add python.exe to the path, and verify the setup by running python in cmd.
Installing Visual Studio Code4:31
Install Visual Studio Code to code more easily and prepare for Azure deployments, following a straightforward download, default install, and launch process from code.visualstudio.com.
Configuring Visual Studio6:08
configure Visual Studio Code to run Python by installing the Python extension, creating a first.py, and running code; sign into Azure to access Azure Functions and resources.
Run Python and PIP4:07
Learn to run Python and pip from the command line, verify Python is accessible, configure PATH, and install packages with pip for use in Visual Studio Code and Azure Functions.
Microsoft 365 Account Creation5:16
Create a Microsoft 365 account using a free one-month trial to access Power Automate, SharePoint, Teams, and Power BI, setting up for ChatGPT integration.
Use Python to Access OpenAI API9:05
Create a serverless ChatGPT API using Python, connecting to the OpenAI API via an Azure function, with authentication and library installation steps.
Use Python to Access OpenAI API Continued9:47
Connect python to the OpenAI API by securely saving a secret key for authentication in Visual Studio Code, then call the text-davinci-003 model with a prompt to generate a completion.
Manage Response of ChatGPT6:07
Learn to extract the text from the OpenAI API response in Python by accessing choices[0].text, craft clean prompts, and wrap the function as an Azure serverless endpoint for apps.

Creating Azure Function5:58
Create and configure an Azure function locally in Visual Studio Code using Python with an http trigger, set anonymous access, and prepare init.py and requirements.txt for deployment.
Test and Deploy Azure Function12:17
Deploy and test an HTTP triggered Azure function, resolve execution policy, run locally, then deploy to function app and test with Postman.
Test Function Using Postman3:38
Test a basic Azure HTTP-triggered function with Postman by sending a JSON name parameter and receiving a hello name response, demonstrating collection creation, public accessibility, and OpenAI API integration steps.
Integrate ChatGPT OpenAI with Azure Function9:42
Integrate ChatGPT with OpenAI and Azure function by creating an http triggered completion api, calling OpenAI api with model, prompt, max_tokens, and temperature, and returning the text.
Test Locally5:32
Learn to test locally by verifying code, crafting a sample json request for a text-davinci-003 openai call, and integrating with azure functions before deployment.
Deploy OpenAI ChatGPT to Azure Function6:23
Deploy a serverless OpenAI completion API to an Azure function, test with Postman, obtain the function URL, and validate deployment on the Azure portal.

Create Power Automate Flow5:21
Create a Power Automate flow that integrates a serverless ChatGPT API, using a manually triggered instant flow and an HTTP request action to automate tasks.
Add OpenAI ChatGPT to HTTP Request7:44
Post an HTTP request from Power Automate to the ChatGPT API function URL, sending a JSON body with model, prompt, max token, and temperature, then capture output in a variable.
Creation of Teams Chatbot using OpenAI ChatGPT9:49
Create a Microsoft Teams chatbot by integrating OpenAI ChatGPT with Power Automate, triggering from new channel messages and posting parameterized queries via HTTP requests.
Test and Publish5:30
Test and publish a Power Automate chatbot that sends user messages to a ChatGPT API, returns responses to Microsoft Teams, and explores multi-app integrations.
Basic Power App Creation7:29
Learn to build a basic Power App on a blank canvas using a low-code platform, add text input, a label, and a button, and integrate ChatGPT for prompts and responses.
Add ChatGPT OpenAI to your Power App5:02
Connect Power Apps to OpenAI by using a Power Automate flow and an Azure function; post prompts via http, receive responses, and display them in a text label.
Run the Power App6:34
Link a power automate flow with the ChatGPT API inside a power app, trigger on button select, and pass the text input as the prompt to display the flow's response.

Bubble Application Creation5:56
Build no-code apps on bubble.io and integrate the ChatGPT API to create your first app, using a free account and the API connector for third-party APIs.
Connect ChatGPT API to Bubble11:18
Link the ChatGPT API to Bubble using the API Connector, set up a prompt input and get answer button, call the API, and display the response in a text element.
Modify Prompt Dynamically4:06
Modify the prompt dynamically by feeding user input as the prompt in a no-code bubble workflow using the ChatGPT API, and display results such as sql vs nosql differences.
Introduction to MealPlan Application2:10
Develop a meal plan app with bubble and ChatGPT to tailor recipes to dietary preferences and allergies, generate a grocery list, then build a personal finance assistant offering budgeting advice.
Front-end Setup6:59
Create a meal planner app in bubble and install the API connector. Design UI with a heading and input fields for dietary preferences, restrictions, and allergies, plus a create button.
Create Second Page2:42
Create a second page by cloning the index and customize it as a meal planner with a go button. Set up a workflow to call ChatGPT to switch between pages.
Create Workflow to Enable ChatGPT4:08
Create a no-code workflow that integrates a ChatGPT completion API, maps dynamic inputs (dietary preferences, restrictions, allergies) to a tailored meal plan prompt, and saves the output.
Link Pages Together8:33
Link pages by configuring navigation to a meal planner and passing a meal plan parameter, then generate a weeklong meal plan with ChatGPT, adapting to allergies and goals.
Add More Specific Input and Test Application3:32
Add specific input fields and test a Bubble meal planner that uses ChatGPT to generate day-by-day meal plans based on selected days and dietary preferences.
Screen Creation8:04
Create a personal finance assistant app by designing screens that capture income, expenses, and goals, and enable ChatGPT-powered personalized budgeting, saving, investing, and debt advice.
Link API and Create Workflow and Test7:30
Link the API and create a workflow, then test a no-code app using the ChatGPT completion API to generate budgeting, saving, investing, and debt management advice.

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.

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

What you'll learn

Explore related topics

Course content

Getting Started with ChatGPT and OpenAI8 lectures • 50min

Setting Up Your Development Environment12 lectures • 1hr 9min

Building ChatGPT-Enabled Azure Functions6 lectures • 44min

Automating with Microsoft Power Platform7 lectures • 47min

No-Code ChatGPT Applications using Bubble. io11 lectures • 1hr 5min

Final Touches and Course Wrap-Up1 lecture • 2min

Requirements

Description

Who this course is for: