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Generative AI: Turbocharge Mobile App Development

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IntermediateCourse

This course will explore the transformative potential of generative artificial intelligence in mobile app development. You will learn how to integrate AI tools and frameworks to enhance app design, marketing, and user engagement. As you progress through the course, you will gain insights into the opportunities and challenges of using generative AI in areas such as gaming, augmented reality, and virtual reality. You will also develop the skills to leverage advanced AI-driven solutions to build innovative mobile applications.

Language

  • English

Topic

  • Artificial Intelligence

Skills You Will Learn

  • AI-Driven Design And Marketing, Generative AI Applications, Cloud-Based Development Tools, Mobile App Development, Mobile App Support Systems

Offered By

  • SkillUpEdTech

Estimated Effort

  • 9 Hours

Platform

  • Coursera

Last Update

  • July 16, 2025
About this Course
This course provides a comprehensive introduction to the transformative role of generative artificial intelligence (AI) in mobile app development. You will learn how to leverage generative AI across the app development lifecycle, including design, content generation, marketing, and user support. Through hands-on labs, engaging video lectures, and interactive quizzes, you will gain practical experience with leading AI tools like Claude AI, Copy.ai, and Apple Intelligence.

The course begins with exploring generative AI concepts, focusing on its applications in app design, gaming, and user engagement. It also addresses the opportunities and challenges in using AI for personalized marketing and support. Then, you’ll dive deeper into advanced topics, such as machine learning models, embedded AI, and cloud-based development tools.

By the end of the course, you will create a functional mobile app prototype, integrating generative AI features to enhance user experience. This course equips you with the skills to innovate in the rapidly evolving field of mobile technology, preparing you for roles in development, marketing, and beyond.

Course Syllabus

  • Video: Course Introduction 
  • Reading: Course Overview 
  • Reading: Helpful Tips for Course Completion 
  • Video: Opportunities and challenges of Gen AI in mobile apps  
  • Video: Designing Mobile Apps using Gen AI  
  • Lab: Generate a quick prototype using Uizard 
  • Video: Content creation using Gen AI for Mobile Apps 
  • Lab: Generate a splash screen using Claude AI 
  • Video: Transforming Gaming and AR/VR mobile apps with Gen AI 
  • Demo Video: Exploring AR/VR mobile apps 
  • Reading: Best practices for incorporating Gen AI in mobile design 
  • Practice Quiz: Generative AI in Mobile App Development  
  • Video: Gen AI for mobile app Marketing  
  • Lab: Create a marketing campaign using copy.ai 
  • Video: Gen AI for mobile app support 
  • Lab: Creating a FAQ using Synthesia.io 
  • Video: Gen AI for behavioral analysis and customization 
  • Reading: Industry use cases of Gen AI in Mobile Apps 
  • Practice Quiz: Generative AI for Mobile Marketing and Support 
  • Reading: Summary and Highlights: Introduction to Generative AI for Mobile App Development 
  • Graded Quiz: Introduction to Generative AI for Mobile App Development 
Module 2:  Generative AI Tools for Mobile Development 
  • Video: Generative AI for Cutting-Edge Android Apps 
  • Demo video: Vertex AI Studio
  • Lab: Leverage Dialogflow for creating a Retail order assistant chatbot
  • Video: Elevate iOS Apps with Generative AI  
  • Demo video: Introducing Apple Intelligence 
  • Reading: Developing with Apple Intelligence (Beta) 
  • Practice Quiz: Generative AI Tools for Mobile Development 
  • Video: Building intelligent Mobile apps with Machine Learning models  
  • Demo Video: AI Lifecycle platform - Clarifai
  • Video: AI powered IDEs for Mobile App development
  • Demo video: Exploring Project IDX 
  • Lab: Creating a React Native app with Project IDX and Gemini AI for a Dynamic Form
  • Reading: Leveraging Custom AI models in cloud Mobile app Development 
  • Practice Quiz: Advanced concepts for Gen AI in Mobile Apps
  • Reading: Summary and Highlights: Generative AI tools for Mobile development  
  • Graded Quiz: Generative AI tools for Mobile development 
  • Reading: Final Project Overview 
  • Final Project: Smart Health App 
  • Video: Course Wrap-Up 
  • Reading: Useful Prompts for mobile app developers
  • Reading: Course Glossary 
  • Reading: Congratulations and Next Steps 
  • Reading: Thanks from the Course Team 
What you'll learn
  • Understand generative AI concepts for mobile app development
  • Analyze opportunities and challenges in AI-driven app design and marketing
  • Demonstrate proficiency with AI tools like Vertex AI, Dialogflow, and Apple Intelligence
  • Build a mobile app prototype using generative AI tools

Recommended Skills Prior to Taking this Course

Learners will need a desktop or laptop computer with a modern web browser and a reliable internet connection. 

Instructors

Ramanujam Srinivasan

Chief Architect

With over 24 years of experience, I have effectively led technology and architecture teams, driving digital transformation and business growth for Fortune 500 companies. My expertise includes managing strategic consulting engagements and implementing large-scale solutions that have achieved annual contract values between $10M and $300M, particularly in turnaround scenarios. As an engineering leader, I guide cross-functional teams in deploying distributed solutions across various domains, including Cloud, AI/ML, eCommerce, Microservices, DevSecOps, legacy modernization, performance optimization, Generative AI, and Machine Learning. I prioritize building exceptional technology teams by mentoring and inspiring top technical talent, fostering a culture of rapid innovation and collaboration. I serve as a trusted advisor, nurturing long-term relationships with C-Level executives and stakeholders to drive the implementation of strategic technology initiatives. My approach combines a big-picture perspective with attention to detail, providing hands-on guidance for creating highly scalable and efficient solutions. I assist in developing minimum viable products (MVPs), evaluating products, enabling developers, and advocating for open-source technologies. As an innovation catalyst, I lead the ideation and Go-to-Market strategies for intellectual property solutions that leverage cloud services, data analytics, and AI/ML to provide strategic advantages to enterprise customers. Additionally, I have authored successful technology courses on Coursera covering topics such as Microsoft security, front-end and back-end development, DevOps, and Generative AI, positively impacting over 70,000 learners.

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