Make Apps with ChatGPT and Generative AI from Coursera

What's inside

Syllabus

Introduction and Context

In this module, we will establish the groundwork for the course by exploring essential app development concepts and the roadmap for building ChatGPT applications. We will look at examples of successful ChatGPT solutions, understand the technical requirements, meet the course instructor, and learn the keys to successful ChatGPT app development.

What Are OpenAI and ChatGPT?

In this module, we will delve into the fundamentals of OpenAI and ChatGPT, focusing on how ChatGPT can be employed for solving problems. We will explore the different GPT-3 models, including their strengths and weaknesses, and detail the capabilities of GPT-3 Davinci. Additionally, we will cover key techniques for optimizing prompts, the concept of tokenization, and the importance of temperature control in generating diverse responses.

Prework

In this module, we will lay the essential groundwork for our development environment by guiding you through the setup of necessary accounts and tools. You will sign up for OpenAI API and Azure accounts, create an Azure Function resource, and install Python. Additionally, we will install and configure Visual Studio Code, learn to use the terminal for running Python and Pip, and set up a Microsoft 365 E5 account to access further resources.

Build a Serverless ChatGPT API

In this module, we will focus on building a serverless ChatGPT API. You will learn how to access the OpenAI API using Python and manage ChatGPT responses. We will guide you through creating and deploying Azure Functions, testing them with Postman, and integrating them with OpenAI ChatGPT. Additionally, we will cover local testing and the final deployment of OpenAI ChatGPT to Azure Functions.

ChatGPT and Power Automate

In this module, we will explore the integration of ChatGPT with Microsoft Power Automate to create automated workflows. You will learn how to connect OpenAI ChatGPT to Power Automate using HTTP requests and develop a functional Teams chatbot. Finally, we will guide you through the process of testing and publishing your Teams ChatGPT chatbot for effective communication and automation.

ChatGPT and Power Apps

In this module, we will cover the creation and enhancement of applications using Power Apps. You will learn how to build basic Power Apps and integrate them with OpenAI ChatGPT. Additionally, we will guide you through the implementation of a Q&A bot within Power Apps, enabling interactive and intelligent user experiences.

ChatGPT and Outlook

In this module, we will integrate ChatGPT with Microsoft Outlook by developing an Office Add-In. You will learn to set up the development environment, create and launch an Outlook Add-In, and execute ChatGPT API calls from within Outlook. Additionally, we will address common issues like CORS and security errors, facilitate the transfer of email content to ChatGPT, and automate pasting ChatGPT responses back into Outlook, enhancing email functionalities.

ChatGPT and Bubble

In this module, we will explore building and enhancing applications on the Bubble platform. You will learn how to create applications in Bubble and establish a connection with the ChatGPT API. Additionally, we will cover techniques for dynamic prompt modification, enabling more interactive and customized responses within your Bubble applications.

ChatGPT and Airtable

In this module, we will integrate ChatGPT with Airtable to enhance its functionality. You will learn to set up the context in Airtable, write scripts for calling the ChatGPT API, and dynamically modify prompts based on Airtable variables. Finally, we will guide you through testing a ChatGPT-powered marketing email generator, demonstrating practical applications of this integration.

Itinerary - ChatGPT app

In this module, we will guide you through the development of a ChatGPT-powered itinerary app. You will learn how to set up the front-end and create additional pages, develop ChatGPT workflows, and link these pages together for seamless functionality. We will also cover the integration of ImageAI and OpenAI for photo features and ensure robust testing of both text and photo capabilities within the app.

EmailResponder - ChatGPT app

In this module, we will develop the EmailResponder app using ChatGPT to automate email responses. You will learn to set up the Outlook environment, make necessary front-end changes, and create ChatGPT-powered back-end functions. Additionally, we will guide you through modifying email bodies, adding a reply box for user inputs, and expanding the app with ChatGPT mood options to tailor responses based on different emotional tones.

JobApplicationCreator - ChatGPT App

In this module, we will build the JobApplicationCreator app to streamline the job application process using ChatGPT. You will learn to create a screen for generating personalized cover letters, link the ChatGPT API, and develop the necessary workflows. Additionally, we will test the app with various job descriptions to ensure it produces effective and tailored cover letters for different roles.

SplashImages - ChatGPT App

In this module, we will develop the SplashImages app to generate stock photos using the DALL-E image API. You will learn how to use the DALL-E API, create an intuitive front-end interface, and integrate ChatGPT with Power Automate for seamless operations. Finally, we will test the stock photo generator to ensure it produces high-quality images suitable for various needs.

Conclusion

In this module, we will conclude the course by summarizing the key concepts and skills you have acquired. We will reflect on the practical applications of ChatGPT and generative AI, and provide you with encouragement and guidance for your continued journey in AI development. Congratulations on completing the course!

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Integrates ChatGPT into business tools, which can help managers and employees automate tasks and improve efficiency in various workplace scenarios

Covers connecting to the OpenAI API and creating Azure functions, which are essential skills for developing and deploying AI-powered applications

Teaches how to build applications and solutions using ChatGPT by understanding OpenAI and ChatGPT APIs, which is valuable for those seeking to leverage AI in their work

Requires learners to sign up for OpenAI API and Azure accounts, which may involve costs depending on usage and subscription plans

Focuses on integrating ChatGPT with platforms like Outlook, Power Apps, and Airtable, which may not be relevant for learners who do not use these specific tools

Uses GPT-3 Davinci, which may not be the most current or advanced model available from OpenAI, potentially limiting the capabilities explored in the course

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Make Apps with ChatGPT and Generative AI with these activities:

Review Python Fundamentals

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Solidify your understanding of Python fundamentals to better grasp the code examples and API integrations used throughout the course.

Browse courses on Python Basics

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Review basic Python syntax and data structures.
Practice writing simple Python functions.
Work through online Python tutorials.

Brush up on API Concepts

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Familiarize yourself with API concepts to better understand how ChatGPT and other services are integrated into applications.

Browse courses on API

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Read articles about REST APIs and web services.
Explore the documentation for a public API.
Watch introductory videos on API usage.

Simple ChatGPT Prompt Tester

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Build a simple application to test different ChatGPT prompts and understand how they influence the model's responses.

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Set up a basic Python environment with the OpenAI library.
Write a script to send prompts to the ChatGPT API.
Display the responses in a user-friendly format.
Experiment with different prompts and temperature settings.

Four other activities

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Document Your ChatGPT App Ideas

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Brainstorm and document potential applications of ChatGPT to solidify your understanding of its capabilities and limitations.

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Brainstorm at least five different app ideas using ChatGPT.
Describe the functionality and target audience for each app.
Outline the key features and API integrations required.

Follow Azure Functions Tutorials

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Work through tutorials on creating and deploying Azure Functions to gain hands-on experience with the serverless platform used in the course.

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Find a tutorial on creating a simple HTTP-triggered Azure Function.
Follow the steps to deploy the function to Azure.
Test the function using Postman or a similar tool.
Modify the function to integrate with a simple API.

Portfolio of ChatGPT Apps

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Showcase your skills by creating a portfolio of ChatGPT-powered applications that demonstrate your understanding of the course material.

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Select 2-3 of the apps covered in the course to build out fully.
Document the architecture and functionality of each app.
Create a presentation or website to showcase your portfolio.
Include code samples and demonstrations of the apps in action.

Contribute to a ChatGPT Project

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Contribute to an open-source project that utilizes ChatGPT to deepen your understanding and collaborate with other developers.

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Find an open-source project related to ChatGPT or generative AI.
Identify a bug or feature to work on.
Submit a pull request with your changes.
Participate in code reviews and discussions.

Career center

Learners who complete Make Apps with ChatGPT and Generative AI will develop knowledge and skills that may be useful to these careers:

Application Developer

An Application Developer designs, builds, and maintains software applications. This course helps build a foundation for developing applications using the OpenAI API and ChatGPT, which is a core skill for creating intelligent, automated applications using AI. The course emphasis on creating serverless functions and integrating them into various platforms such as Microsoft Power Apps, Outlook, and Bubble is directly relevant to the development work of an Application Developer. Furthermore, the course covers the use of DALL-E for image generation, which can broaden an Application Developer's skillset. An aspiring Application Developer should take this course to learn how to integrate advanced AI capabilities into applications, making them more powerful and useful. This can be further boosted by the course's many real world examples such as CoverLetterCreator and TravelPlan.

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Software Engineer

A Software Engineer develops and maintains software systems. This course fits well with a Software Engineer's need to stay updated with cutting edge technologies, particularly AI. The course specifically focuses on building applications using ChatGPT and the OpenAI API, which are relevant tools for any Software Engineer. The course will help build a foundation for someone looking to learn how to bring generative AI into software applications. Specifically, the course's focus on serverless functions, integrating with platforms like Power Apps and Outlook, and using tools like Azure Functions will directly enhance the skill set of a Software Engineer. This course helps a Software Engineer stay current with the latest trends in AI development.

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Solutions Architect

A Solutions Architect is responsible for the design of technical solutions to meet business needs. This course fits well because it provides hands-on experience integrating ChatGPT into various platforms, as well as a deep understanding of the OpenAI API. A Solutions Architect needs to understand how an integration of advanced technology can bring substantial value to a client, and this course showcases several real use cases. This course teaches how to create serverless functions, integrate with platforms like Power Automate and Outlook, and build applications powered by AI making it a great choice for a Solutions Architect. A Solutions Architect can benefit from this course by expanding their knowledge of how AI can be used to create innovative solutions.

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Automation Engineer

An Automation Engineer designs and implements automated systems and workflows. This course will help an Automation Engineer better understand how AI, especially ChatGPT, can be used to automate tasks, personalize workflows, and improve efficiency. The course covers several automation use cases, like generating cover letters, automating email responses, and planning travel itineraries. The course material, with its focus on integrating with platforms like Power Automate and Outlook, makes it very applicable to an Automation Engineer's needs. Moreover, the skills developed in connecting to the OpenAI API and creating serverless functions are directly applicable to creating automated solutions. Anyone looking to become an Automation Engineer should take this course to explore how to leverage generative AI for more creative and effective automation.

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Freelance Developer

A Freelance Developer works on software projects for various clients. This course is beneficial for a Freelance Developer due to its emphasis on building practical applications using generative AI. The course covers integrating the OpenAI API into platforms like Power Apps and Outlook as well as creating serverless functions. By building skills in developing AI-driven solutions, especially using ChatGPT, a Freelance Developer can offer cutting edge services to clients. The course's practical approach, with many concrete examples will equip a Freelance Developer, with a much sought after skillset. A Freelance Developer should take this course to enhance their portfolio with AI based projects.

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Technology Educator

A Technology Educator instructs others on the use of technology. This course is beneficial because it provides the knowledge and hands-on experience necessary to teach others about the capabilities of generative AI. This course will equip a Technology Educator with examples of how to use ChatGPT to create real applications and solutions through the use of serverless functions and API integration with platforms like Power Apps and Outlook. The course material will help any Technology Educator stay ahead of the curve. By learning how to develop AI applications, a Technology Educator can empower their students with current and relevant skills.

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API Integrator

An API Integrator specializes in connecting different software systems through application programming interfaces. This course is particularly helpful for an API Integrator since a core part of the course focuses on connecting to the OpenAI API and integrating it with different platforms like Power Apps, Outlook and Bubble. The course covers how to manage ChatGPT prompts and responses and the creation of serverless functions. The coursework will give practical experience in integrating a powerful AI API into various applications making this a great course for expanding the skill set of an API Integrator. A course like this will help an API Integrator keep up to date with the latest trends in AI.

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Technical Consultant

A Technical Consultant advises clients on the application of technology to business problems. This course is helpful for learning how to integrate generative AI into business tools and workflows, especially through the use of the ChatGPT API. The course material, which explores methods to connect to the OpenAI API and integrate it with platforms like Power Automate, Airtable, and Bubble, can be highly valuable for a Technical Consultant looking to introduce novel AI solutions to their clients. The course's focus on building functional applications such as CoverLetterCreator and StockPhotoPPT demonstrates a clear path to using AI to solve business problems. For a Technical Consultant, this course helps them bring expertise in AI to their client solutions.

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Innovation Consultant

An Innovation Consultant advises companies on new ideas and solutions that can drive growth. This course will help someone become an Innovation Consultant by learning how to use generative AI, specifically ChatGPT, to create practical applications and solutions. The course offers concrete example of integrating the OpenAI API into platforms like Power Automate, Outlook, and Bubble. Furthermore, the course goes into detail about building apps powered by generative AI to assist with cover letters, travel planning, and more. An Innovation Consultant needs to be able to envision revolutionary solutions for clients, making this a fantastic course for building a foundation of working with generative AI.

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Digital Transformation Specialist

A Digital Transformation Specialist guides organizations through the process of integrating digital technologies into all areas of the business. This course might be useful to a Digital Transformation Specialist by providing practical skills in integrating generative AI into business processes. The course focuses on using the ChatGPT API to automate tasks and integrate AI into platforms like Outlook and Power Automate, which may be useful to implementing changes in an organization. Building applications like CoverLetterCreator or TravelPlan offer practical examples of how AI can modernize existing workflows and processes. A Digital Transformation Specialist may benefit from this course by learning how generative AI can be incorporated into the digital strategy of a business.

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AI Solutions Architect

An AI Solutions Architect designs and oversees the implementation of AI-driven solutions. This course may be useful because it provides practical skills in building applications that utilize ChatGPT and other OpenAI models. The course material helps someone in this role understand how to integrate AI into a variety of applications and platforms. The course covers connecting to the OpenAI API, creating Azure Functions, and developing applications that can automate tasks or be used to enhance user experiences. An AI Solutions Architect with knowledge of ChatGPT and its capabilities will be better able to design and implement solutions that leverage this technology, making this course a potentially useful addition to their professional development.

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IT Specialist

An IT Specialist manages and maintains computer systems. This course may be useful to an IT Specialist by introducing them to new possibilities offered by generative AI. The course material covers how to use the ChatGPT API to create serverless functions, and integrate with platforms such as Power Automate and Bubble, which are becoming more common in modern IT infrastructures. An IT Specialist who is curious how AI can simplify and automate tasks may find this course to be a valuable addition to their development. The course gives practical examples of applications such as the CoverLetterCreator and StockPhotoPPT further adding concrete value.

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Business Analyst

A Business Analyst identifies business needs and proposes technology-based solutions. This course could prove useful to a Business Analyst by introducing them to various ways that generative AI can be applied to improve business processes. The course focuses on practical applications of ChatGPT such as automating email responses and creating personalized itineraries. The course also covers integration with platforms like Outlook and Power Automate, which can add practical insights for a Business Analyst. The course may be useful for a Business Analyst looking to understand how AI can be integrated into business solutions, making this course an excellent choice for those seeking to broaden their skillsets.

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Product Manager

A Product Manager guides the development and strategy of a product. This course can be beneficial to a Product Manager who wants to stay up-to-date with the latest in generative AI. The course covers practical examples of how ChatGPT can integrate into various platforms with the aid of serverless functions, thus allowing a Product Manager to more clearly understand how to leverage generative AI. By learning about real-life applications, such as a CoverLetterCreator or a TravelPlan application, a Product Manager may gain valuable insights into the value of AI in a product. The course may be useful to a Product Manager looking to understand how generative AI can create new product opportunities and improve user experiences.

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Data Scientist

A Data Scientist analyzes complex data to derive insights and build predictive models. While this course does not focus on data analysis or model building itself, the hands-on experience with the OpenAI API and ChatGPT may be useful to a Data Scientist looking to expand their knowledge into practical AI integration. The course covers the technical aspects of connecting to an API and how to integrate it with various platforms; this could give a Data Scientist insights into the deployment of AI-driven applications. A Data Scientist looking to broaden their skill set into practical AI implementation may find this course valuable, especially if interested in the application of large language models.

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