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⇱ GenAI for Mobile App Developers (iOS, Android) | Coursera

GenAI for Mobile App Developers (iOS, Android)

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GenAI for Mobile App Developers (iOS, Android)

Included with

Gain insight into a topic and learn the fundamentals.
4.5

10 reviews

Beginner level

Recommended experience

2 hours to complete
Gain insight into a topic and learn the fundamentals.
4.5

10 reviews

Beginner level

Recommended experience

2 hours to complete

What you'll learn

  • Review the limitations of GenAI for Mobile App development.

  • Evaluate the results of GenAI for a real-world application in mobile app development functions.

  • Compare and contrast the risks, challenges, and ethical considerations of GenAI in the workplace for Mobile App development functions. 

Details to know

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Assessments

2 assignments¹

AI Graded see disclaimer
Taught in English
Flexible schedule
Learn at your own pace

Build your subject-matter expertise

This course is part of the Building Smarter Software: GenAI Tools and Practices 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 is 1 module in this course

At the GenAI Academy, the "GenAI for Mobile App Developers" course explores the transformative power of Generative Artificial Intelligence (GenAI) in mobile app development practices. This comprehensive course equips participants to harness the capabilities of GenAI to streamline their development workflows.

Through interactive discussions, video demonstrations, and hands-on exercises, attendees will discover how GenAI can optimize efficiency in mobile app testing, user interface optimization, performance analysis, and automation. The curriculum also addresses the challenges and best practices associated with implementing GenAI in mobile app development. The "GenAI for Mobile App Developers" course is designed for experienced mobile app developers who aim to stay current with emerging technologies and improve their development skills. It also targets newcomers to the field who want to future-proof their skillset and gain a competitive edge in the job market. Additionally, professionals seeking to upskill and enhance their expertise in mobile app development will benefit from this course. No prior knowledge of artificial intelligence is required for this course. However, participants should have a solid understanding of mobile app development principles and practices to fully grasp the applications of GenAI in this context. By the end of the course, learners will be able to identify and apply GenAI capabilities to streamline tasks such as testing, user interface optimization, and performance analysis. Participants will explore real-world applications of GenAI, assess its impact on mobile app development, and develop strategies for its ethical integration into their workflows.

This course explores the transformative power of Generative Artificial Intelligence (GenAI) in mobile app development practices. The course equips participants to harness the capabilities of GenAI to streamline their development workflows.

What's included

6 videos5 readings2 assignments

6 videos•Total 48 minutes
  • Introduction to GenAI for Mobile App Developers•9 minutes
  • History & Background for GenAI and Mobile App Developers•7 minutes
  • Demo for Creating App UI Component with ChatGPT•8 minutes
  • Remediating Risks and Ethical Concerns•13 minutes
  • Demo for Creating a Dart Scoring App with Flutter and ChatGPT•9 minutes
  • Closing Thoughts: What’s Next•2 minutes
5 readings•Total 45 minutes
  • Our Roadmap & Resources Available: How to Get Started•5 minutes
  • Glossary for GenAI and Mobile App Developers•10 minutes
  • Demo for Optimizing Flutter App Code with Cody•10 minutes
  • Demo for Automating Unit Testing in Flutter Apps with Cody•10 minutes
  • Demo for Developing a Simple Flutter Game with Gemini •10 minutes
2 assignments•Total 50 minutes
  • Mobile App Development Using GenAI•30 minutes
  • GenAI for Mobile App Developers (iOS, Android)•20 minutes

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Instructors

Instructor ratings
4.7 (7 ratings)
33 Courses•68,237 learners

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Reviewed on Mar 15, 2025

Great course for introducing the student to basic coding for mobile app development.

Frequently asked questions

In this course, it means applying generative AI to common work involved in building and improving iOS and Android apps. The emphasis is on fitting GenAI into tasks such as testing, interface work, performance analysis, and automation rather than treating it as a separate AI topic.

You would use it when you want help with repeatable development tasks or need a faster starting point for app work. The course focuses on moments like drafting code, refining interface ideas, supporting testing, and examining results that still need developer review.

It fits into the normal build-and-improve cycle for a mobile app rather than sitting outside it. The course shows how GenAI can help you draft, refine, test, and evaluate work across connected tasks instead of handling each step in isolation.

It is broader than asking for a quick code snippet and pasting it into a project. Here, GenAI is treated as part of an iterative workflow where you review outputs, adapt them for the app, and consider limitations, risks, and ethics before relying on them.

No prior AI knowledge is required for this course. A solid understanding of mobile app development principles is helpful because you still need to judge generated output and see where it fits in your workflow.

Learners work with conversational generative AI tools in hands-on mobile app development examples for iOS and Android. The main method is to generate and refine app output, then evaluate it through tasks like testing, interface improvement, and performance review.

You practice generating app code, refining interface elements, supporting testing work, and examining performance-related results. You also analyze the limitations and ethical risks of generated output before folding GenAI into a mobile development workflow.

Financial aid available,

¹ Some assignments in this course are AI-graded. For these assignments, your data will be used in accordance with Coursera's Privacy Notice.