Generative AI Skills for Mobile App Developers
Learn to build smarter mobile apps with generative AI. Explore AI-driven design, content, marketing, & support using tools like Claude AI and Apple Intelligence.
Language
- English
Topic
- Mobile App Development
Skills You Will Learn
- User Interface And User Experience (UI/UX) Design ChatGPT Artificial Intelligence, OpenAI AI Personalization Machine Learning Methods, Artificial Intelligence
Offered By
- SkillUpEdTech
Estimated Effort
- 9 hours
Platform
- SkillsNetwork
Last Update
- July 21, 2025
- Build a functional mobile app prototype using cutting-edge AI tools
- Understand key generative AI concepts for mobile app design and development
- Demonstrate proficiency in tools like Vertex AI, Dialogflow, and Apple Intelligence
- Analyze the benefits and challenges of AI-driven app design, marketing, and support
- Course overview
AI-powered mobile apps are expected to drive over $35 billion in global revenue by 2030. Employers are seeking professionals who can use AI to improve mobile app performance, personalization, and engagement.
This course gives mobile app developers, UX/UI designers, and digital marketers powerful skills to leverage GenAI across the app development lifecycle. Whether you’re a beginner or looking to upskill, this course will help you stand out in a highly competitive tech job market.
The course begins with an introduction to GenAI in mobile contexts. You’ll learn about AI opportunities in areas such as app prototyping, content generation, AR/VR, gaming, and intelligent support. Key tools include Claude AI for visual content, Copy.ai for marketing campaigns, and Synthesia.io for FAQ automation. You’ll also explore how Apple Intelligence enhances iOS development and how AI can personalize user behavior in real-time.
You’ll then get hands-on experience with tools like Vertex AI Studio, Dialogflow, and Clarifai. You’ll use these to build chatbots, embed machine learning models, and experiment with AI-enhanced IDEs like Project IDX. You’ll also learn to deploy custom AI models from the cloud and integrate them seamlessly into cross-platform mobile apps built with React Native. Plus, you’ll complete a final capstone project where you’ll develop a smart health app using multiple AI tools.
If you’re keen to enhance your resume with an industry-recognized credential and job-ready GenAI skills for mobile app development, AI design, and intelligent app support, enroll today!
Prerequisites
This is an intermediate-level course designed for learners with basic knowledge of mobile app development or UX/UI design. No prior experience with generative AI is required. Familiarity with mobile development environments and programming fundamentals is helpful.
Get ready to build the hands-on skills to leverage generative AI (GenAI) to streamline mobile app design, automate content creation, enhance user engagement, and personalize in-app experiences.
What you’ll learn- Build a functional mobile app prototype using cutting-edge AI tools
- Understand key generative AI concepts for mobile app design and development
- Demonstrate proficiency in tools like Vertex AI, Dialogflow, and Apple Intelligence
- Analyze the benefits and challenges of AI-driven app design, marketing, and support
Course syllabus
Welcome- Video: Course Introduction
- Reading: General Information
- Reading: Learning Objectives and Syllabus
- Reading: Grading Scheme
- Reading: How to Make the Most of This Course
- Module 1: Introduction to Generative AI for Mobile App Development
- Module Introduction and Learning Objectives
- Video: Opportunities and Challenges of GenAI in Mobile Apps
- Video: Designing Mobile Apps Using GenAI
- Lab: Generate Quick Prototype Using Uizard.io
- 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 GenAI
- Demo Video: Exploring AR/VR Mobile Apps
- Reading: Best Practices for Incorporating GenAI in Mobile Design
- Video: GenAI for Mobile App Marketing
- Lab: Create a Social Media Marketing Campaign Using Copy.ai
- Video: GenAI for Mobile App Support
- Lab: Create an FAQ Using Synthesia.io
- Video: GenAI for Behavioral Analysis and Customization
- Reading: Industry Use Cases of GenAI in Mobile Apps
- Practice Quiz: Introduction to Generative AI for Mobile App Development
- 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
- Module Introduction and Learning Objectives
- 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
- Video: Introduction to Apple Intelligence
- Reading: Developing with Apple Intelligence
- Video: Building Intelligent Mobile Apps with Machine Learning Models
- Demo Video: AI Lifecycle Platform - Clarifai
- Video: Empowering Mobile Innovation with Embedded AI
- Video: AI-Powered IDEs for Mobile App Development
- Demo Video: Exploring Project IDX
- Lab: Creating a React App with Project IDX for a Dynamic Form
- Reading: Leverage Custom AI Models in Cloud for Mobile App Development
- Practice Quiz: Generative AI Tools for Mobile Development
- Reading: Summary and Highlights: Generative AI Tools for Mobile Development
- Graded Quiz: Generative AI Tools for Mobile Development
- Module 3: Final Project and Final Exam
- Module Introduction and Learning Objectives
- Reading: Final Project Overview
- Final Project: Smart Health App
- Final Exam: Generative AI Skills for Mobile App Developers
- Retake Exam
- Module 4: Course Wrap-Up
- Video: Course Wrap-Up
- Reading: Useful Prompts for Mobile App Developers
- Reading: Glossary: Generative AI Skills for Mobile App Developers
- Reading: Congratulations and Next Steps
- Reading: Course Team and Acknowledgements
- Course Rating and Feedback
- Course Rating and Feedback
Language
- English
Topic
- Mobile App Development
Skills You Will Learn
- User Interface And User Experience (UI/UX) Design ChatGPT Artificial Intelligence, OpenAI AI Personalization Machine Learning Methods, Artificial Intelligence
Offered By
- SkillUpEdTech
Estimated Effort
- 9 hours
Platform
- SkillsNetwork
Last Update
- July 21, 2025
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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