Coding Data Models with AI

Coding Data Models with AI

This course is part of Coding with AI for MBAs Specialization

Instructors: Alex Cowan

Access provided by Micron Technology

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

8 hours to complete

Flexible schedule

Learn at your own pace

4 modules

Gain insight into a topic and learn the fundamentals.

Beginner level

No prior experience required

8 hours to complete

Flexible schedule

Learn at your own pace

What you'll learn

How to go from idea to design, and from design to code
How to integrate with web API's like Google Firebase to build a modern web application
How to take the anxiety and guesswork out of coding with analytical debugging

Skills you'll gain

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Coding with AI for MBAs Specialization

When you enroll in this course, you'll also be enrolled in this Specialization.

Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this course

In this final course in the ‘Coding with AI’ specialization, we’ll close with an integrated approach to building full applications with a working Data Model, View (UI), and set of Controllers (or ‘algorithms’). As an MBA or generalist, this course will specifically help you go from design to code with ‘Data Models’, which generally means databases of some kind. Understanding the process of building and maintaining Data Models with AI will both help you build great products yourself as well as make yourself a better collaborator to your engineering-focused colleagues. We’ll be a noSQL database, but mostly we’ll be focused on the underlying design and engineering principles for building and operating Data Models. In this final course, we’ll also cover the Cursor application, an AI-forward IDE (integrated development environment). This course was developed at the Darden School of Business at the University of Virginia and is taught by top-ranked faculty.

This week, Data Models! You’ll be both learning how to work with Data Models and how to incorporate a BaaS (backend-as-a-service) into your code. You may have heard of API’s and SDK’s, you’ll be getting hands-on practice with those as well. (Please note that if you audit this course, only the first module is available and you will not earn a course certificate.)

What's included

11 videos2 readings1 assignment1 discussion prompt

11 videos Total 54 minutes

Welcome to the Course 2 minutes
Case Intro - Creating & Managing Users with Google Firebase & Sample App 1 minute
Application Demo 3 minutes
Coding Overview 8 minutes
Getting Access to the System 6 minutes
Forgotten Passwords 3 minutes
A Delicious BaaS? 6 minutes
Setting Up a Project on Google Firebase 9 minutes
Asynchronous Execution and the Observer Pattern 3 minutes
Recap of the Case Challenges 3 minutes
Case Solution - Creating & Managing Users with Google Firebase & Sample App 10 minutes

2 readings Total 160 minutes

8 Reasons This Salesforce Developer Loves Heroku 10 minutes
Case - Creating & Managing Users in Google Firebase 150 minutes

1 assignment Total 30 minutes

Week 1 Quiz - Creating & Managing Users with Google Firebase 30 minutes

1 discussion prompt Total 10 minutes

8 Reasons This Salesforce Developer Loves Heroku 10 minutes

You’ve learned how to use AI’s to help you code- now you’re going to learn how to code the AI’s themselves! The good news is that foundation model providers like chatGPT’s OpenAI have made doing so easy and accessible. The other good news is that the process you’ve already learned will help you set clear intentions, not get lost in the weeds, and create testable sources of value for your user. You’ll also learn how the AI tools you’re about to use fit into the larger ecosystem of AI infrastructure.

What's included

9 videos1 assignment

9 videos Total 53 minutes

Welcome to Week 2 1 minute
About Custom GPT's 9 minutes
Focusing Your Design Intent with an AI 9 minutes
Unpacking for Your GPT 5 minutes
Effectuating Between Alternatives with AI 3 minutes
Coding, Testing, and Debugging Your AI 12 minutes
Understanding LLM vs. Other Predictive AI's 8 minutes
From Chat UX to API Integration 6 minutes
What's Next? 1 minute

1 assignment Total 30 minutes

Week 2 Quiz - Coding Your own AI's 30 minutes

Time to create your own Data Models! This week, we’re going to bring your MVC realization capabilities fully online. You’ll learn how to unpack Data Models, evaluate alternative database engines, and iteratively code, test, and debug both the integrity and the security of your data model implementation.

What's included

8 videos1 assignment

8 videos Total 58 minutes

Welcome to Week 3 4 minutes
Focusing Your Design & Unpacking Your Data Model 6 minutes
Configuring Your Model in Google Firestore 4 minutes
Effectuating between Data Model Alternatives 11 minutes
Securing the Data Model 13 minutes
Interfacing with Your Model Using Javascript 16 minutes
Case Solution - Creating Data Models with Google Firestore 3 minutes
What's Next? 0 minutes

1 assignment Total 30 minutes

Week 3 Quiz - Building Data Models with Google Firestore 30 minutes

This is it! We’re going to send you on your way building and deploying like a professional developer. This means getting comfortable with version control and a more sophisticated IDE (integrated development environment). At this point, however, we think you’ll find these a natural fit for what you’ve probably been wanting but maybe didn’t yet know you need.