What will you learn in Generative AI for Mobile App Developers Specialization Course
Fast-track your mobile app development career by integrating generative AI for rapid prototyping, code generation, and debugging.
Craft effective prompts, evaluate GenAI tools (ChatGPT, Gemini, Watsonx), and apply best practices in prompt engineering.
Generate and optimize code snippets, design app architectures, and handle ethical considerations in AI-powered development.
Leverage machine learning methods and cloud-based solutions to build AI-driven features such as personalization, testing, and CI/CD.
Program Overview
Course 1: Generative AI: Introduction and Applications
⏳ 7 hours
What You’ll Learn: Describe generative vs. discriminative AI, explore GenAI use cases, and examine tools for text, code, image, audio, and video generation.
Course 2: Generative AI: Prompt Engineering Basics
⏳ 9 hours
What You’ll Learn: Explain prompt engineering concepts and best practices, apply techniques like chain-of-thought and tree-of-thought, and use specialized tools to refine prompts.
Course 3: Generative AI: Elevate Your Software Development Career
⏳ 17 hours
What You’ll Learn: Generate, refactor, and optimize code with AI; apply GenAI for architecture design, bug detection, and code review; and address ethical challenges.
Course 4: Generative AI: Turbocharge Mobile App Development
⏳ 9 hours
What You’ll Learn: Apply GenAI concepts to mobile app design, marketing, and development; build a prototype using Vertex AI, Dialogflow, and Apple Intelligence.
Get certificate
Job Outlook
Mobile app developers with GenAI expertise are highly sought in tech, consumer apps, and enterprise solutions, commanding salaries of $95K–$140K USD.
Roles include AI-Enhanced Mobile Developer, GenAI Specialist, and Application Architect, with opportunities in startups and established companies.
Skills in ChatGPT integration, ML personalization, and CI/CD automation position you for leadership in product innovation.
Specification: Generative AI for Mobile App Developers Specialization
|
FAQs
- No prior AI experience is required, but mobile app development knowledge is necessary.
- Basic familiarity with Flutter or Node.js helps in labs.
- You’ll learn AI integration gradually through hands-on projects.
- Prompt engineering and GenAI concepts are taught from scratch.
- The course is beginner-friendly for AI but expects developer skills.
- The course focuses on prototyping, debugging, and code generation.
- You’ll gain skills to integrate AI for personalization and testing.
- CI/CD workflows and cloud deployment are covered.
- Full-scale production apps may require additional security and backend considerations.
- Completion provides a strong foundation for enterprise-level apps.
- Tech startups creating AI-driven apps.
- Consumer app companies focusing on personalization.
- Enterprises modernizing mobile platforms with AI.
- Healthcare and fintech sectors using AI for predictive features.
- Companies building AI assistants or chatbots for mobile users.
- Tailored specifically for mobile app development.
- Focuses on practical use of GenAI in Flutter, Node.js, and cloud tools.
- Covers mobile prototyping, prompt engineering, and debugging workflows.
- Includes real-world labs rather than only theory.
- Unlike generic AI courses, it merges mobile development with AI expertise.
- AI-Enhanced Mobile App Developer.
- GenAI Mobile Solutions Specialist.
- Mobile App Architect with AI expertise.
- Product innovation lead in mobile AI projects.
- Freelance AI mobile development consultant.
