Generative AI Course in Software Design
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Generative AI Course in Software Design
This course is part of Generative AI in Software Engineering Certification Specialization
Instructor: Priyanka Mehta
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What you'll learn
Integrate GenAI into software development workflows and architecture design
Use AI tools to generate creative UI/UX concepts and enhance design ideation
Predict user behavior and apply AI for user-centric design improvements
Prototype user interfaces rapidly using tools like Uizard and text-to-visual AI models
Skills you'll gain
Tools you'll learn
Details to know
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- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 2 modules in this course
This Generative AI for Software Design and UX Prototyping course equips you with the skills to integrate GenAI tools into modern software development and UI/UX workflows. Begin with foundational concepts to learn the basics of software engineering and how AI enhances architecture design and creative ideation. Progress to applying GenAI in UX design by exploring user behavior prediction, user-centric design principles, and AI-driven design adjustments. Master tools like Uizard to turn text prompts into UI visuals and accelerate prototyping with GenAI. Gain hands-on experience through demos and design exercises that simulate real-world product workflows.
To be successful in this course, you should have a basic understanding of software development, user interface principles, and an interest in AI tools. By the end of this course, you will be able to: - Apply GenAI to software and UI/UX design processes - Use AI to generate and refine architecture and UI concepts - Predict user behavior and enhance user-centric design using AI - Rapidly prototype interfaces with tools like Uizard and text-to-visual AI models Ideal for software developers, UX designers, and product professionals.
Explore how Generative AI transforms software design in this foundational module. Learn the basics of software engineering and how AI integrates into development workflows. Understand software architecture design and its enhancement through AI tools. Discover UI/UX design principles and how Generative AI supports creative concept generation.
What's included
6 videos1 reading4 assignments
6 videos•Total 27 minutes
- Learning Objectives•1 minute
- What is Software Engineering?•6 minutes
- Demo: Integrating Generative AI into the Software Development Workflows•5 minutes
- What Is Software Architecture Design?•6 minutes
- Principles of UI/UX Design•4 minutes
- Role of AI in Design Concept Generation•6 minutes
1 reading•Total 10 minutes
- Course Syllabus•10 minutes
4 assignments•Total 85 minutes
- Assessment for Foundations of Generative AI in Software Design•40 minutes
- Quiz on Introduction to Software Development with Generative AI•15 minutes
- Quiz on Architecture Designing with Generative AI•15 minutes
- Quiz on UI Designing with Generative AI•15 minutes
Learn how Generative AI enhances UX design and prototyping in this hands-on module. Explore user behavior prediction, user-centric design, and AI-driven design adjustments. Discover tools like Uizard and see how AI turns text prompts into detailed UI visuals. Master rapid prototyping techniques using Generative AI to streamline UI/UX workflows.
What's included
8 videos3 assignments
8 videos•Total 41 minutes
- What Is User Behaviour Prediction?•3 minutes
- Features of User-Centric Design•4 minutes
- How Does AI Contribute to Design Adjustments?•6 minutes
- Demo: Creating Detailed Visuals Based on Text Prompts•9 minutes
- What is Prototyping in UI/UX Design?•7 minutes
- What Is Uizard?•5 minutes
- Demo: Designing User Interfaces with Generative AI•6 minutes
- Key Takeaways•1 minute
3 assignments•Total 70 minutes
- Assessment for Enhancing UX and Prototyping with Generative AI•40 minutes
- Quiz on UX Designing with Generative AI•15 minutes
- Quiz on Prototyping with Generative AI•15 minutes
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Frequently asked questions
Generative AI is used to automate code generation, suggest improvements, assist in UI/UX design, and generate test cases—speeding up development and enhancing creativity.
Key principles include adaptability, creativity, user-centric output, ethical alignment, and leveraging large datasets to generate original, context-aware content.
Generative AI typically uses deep learning models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and Transformer-based models like GPT.
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