Generative AI for Mobile App Developers

IBM via Coursera Specialization

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Overview

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The global mobile app market is set to soar over 14% per year by 2030 (Grand View Research), and the field of AI-driven mobile development is booming. Aspiring AI developers, software engineers, web designers, and mobile app developers who can effectively leverage generative AI (GenAI) are in hot demand. This specialization gives you the job-ready app development skills businesses need. During this program, you'll get hands-on working with AI models and tools for generating text, images, code, audio, and video. You'll learn how to develop effective prompts and implement best practices. Plus, you'll work on coding, prototyping, and optimizing programs while addressing ethical considerations in software development. The program then explores how GenAI can be applied to mobile app development, from design to marketing. You'll also discover advanced techniques like machine learning and cloud solutions, which will prepare you to build innovative, AI-driven applications. Throughout your learning, you'll complete hands-on labs and projects where you'll apply your new skills to real-world scenarios,great for highlighting in interviews! Plus, you'll have a portfolio of AI-powered mobile app projects you can put on your resume. If you're looking to open doors to exciting career opportunities with job-ready GenAI and mobile app development skills employers are looking for, enroll today, and power up your resume in less than 3 months.

Syllabus

Course 1: Generative AI: Introduction and Applications
Course 2: Generative AI: Prompt Engineering Basics
Course 3: Generative AI:Elevate your Software Development Career
Course 4: Generative AI: Turbocharge Mobile App Development

Courses

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9 hours 16 minutes
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As generative AI (GenAI) reshapes workplaces and job roles, using it effectively is now essential. Prompt engineering is the key to directing GenAI models and refining their output for desired results. This course is for professionals, executives, students, and AI enthusiasts ready to harness prompt engineering to unlock tools like ChatGPT. You’ll learn practical techniques, structured methods, and best practices for crafting strong prompts. Explore zero-shot and few-shot prompting to boost reliability and output quality. Discover advanced methods such as the Interview Pattern, Chain-of-Thought, and Tree-of-Thought to produce accurate, context-aware responses. Hands-on labs and projects provide experience with multimodal prompting, the playoff method, and image generation. You’ll practice blending text and visuals and evaluating AI outputs for precision and usefulness. Podcasts, dialogues, and discussions link theory to real-world scenarios, while expert insights highlight strategies for effective prompt use. A final project and graded assessments ensure you can apply these techniques with confidence, leaving you with practical, job-ready skills. Hear from practitioners about the techniques and artistry behind writing impactful prompts. Enroll today to master prompt engineering and unlock GenAI’s potential.
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8 hours 6 minutes
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This course is designed for everyone—professionals, executives, students, and enthusiasts—interested in learning about generative AI and leveraging its capabilities in their work and lives. It is your first step toward understanding the power of generative AI, driven by models such as large language models (LLMs). In this course, you will learn the fundamentals and evolution of generative AI, with additional readings and expert insights offering a deeper view of its history and advancements. You will explore its capabilities across text, image, audio, video, virtual worlds, code, and data, with key takeaways and enhanced summaries at the end of each section to reinforce learning. You will understand the applications of generative AI in industries such as IT, finance, healthcare, education, entertainment, and human resources. You will also discover the features of popular tools and models, including GPT, DALL-E, Stable Diffusion, and Synthesia. Hands-on labs provide opportunities to practice using IBM Generative AI Classroom and tools such as ChatGPT. You will also hear from industry practitioners sharing real-world insights. Interactive activities, podcasts, and scenario-based exercises help you apply concepts, while a final practical project consolidates your skills by generating and refining outputs across multiple formats.
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1 day 40 minutes
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Generative AI (GenAI) is now an essential skill for software developers keen to future-proof their careers. This course gives existing and aspiring developers the job-ready skills employers are looking for to build intelligent, adaptive, and secure solutions. You'll learn how to harness generative AI for code generation, software design, bug detection, testing, optimization, and documentation. You'll also explore how AI integrates into DevSecOps and continuous integration and continuous deployment (CI/CD) pipelines, supports translation, review, and security, and strengthens software delivery. You’ll examine large language models (LLMs), natural language processing (NLP), and prompt engineering to gain insight into how to use these technologies effectively. Plus, you’ll look at agentic AI and retrieval-augmented generation (RAG) for extending autonomy, and you’ll get hands-on with vibe coding tools and practices that transform how developers interact with code. You’ll also consider ethical and responsible AI practices to ensure you innovate responsibly. If you’re keen to leverage GenAI to build software faster and better so you can power your career forward, enroll today!
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9 hours 18 minutes
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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.