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AI Tools, Data, and Experience Design
Coursera
Course
Unknown

AI Tools, Data, and Experience Design

AI CERTs

‘Track 2: AI Tools, Data & Experience Design’ builds on the foundational concepts introduced in Track 1, guiding learners into the practical, hands-on application of AI in both creative design and UX workflows.

Unknown9 weeksEnglish, HU

About this Course

‘Track 2: AI Tools, Data & Experience Design’ builds on the foundational concepts introduced in Track 1, guiding learners into the practical, hands-on application of AI in both creative design and UX workflows. This track focuses on mastering AI tools, data-driven personalization, prototyping, and user research, enabling designers and UX professionals to create intelligent, user-centered experiences. While there is some overlap with Track 1, this track emphasizes specialized skills and real-world application, offering a deeper dive into how AI enhances design decisions, streamlines workflows, and empowers innovation. You’ll gain experience with tools for AI-assisted visual design, content creation, and UX personalization, turning conceptual knowledge into actionable solutions. By the end of this track, learners will be equipped to analyze user behavior, derive insights from data, and build AI-enhanced prototypes that are both creative and functional. Track 2 is a critical step toward mastering the full AI-powered design and UX journey, providing the confidence and skills needed for the final track focused on strategy, emerging trends, and professional practice. Completion of all three tracks is required to earn the AI Powered UX Design Certification

What You'll Learn

  • Supercharge Creativity with AI Tools: Leverage AI to enhance prototyping, visual design, and workflow efficiency
  • Turn Data into Design Decisions: Use AI-driven insights from user research to make smarter, evidence-based UX choices
  • Create Personalized Experiences: Design adaptive, tailored experiences that engage every audience effectively
  • Prototype, Test & Iterate Smarter: Rapidly build and refine prototypes using AI feedback to optimize UX outcomes

Prerequisites

  • Basic familiarity with the topic and its common terminology
  • Readiness to practice through applied exercises or case-based work

Instructors

A

AI CERTs Team

Topics

Design and Product
Computer Science
Software Development
Prompt Patterns
Presentations
User Centered Design
Design Research
Prototyping
UI/UX Research
Design Thinking

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

تصميم تجربة المستخدم
بحث المستخدم
النماذج الأولية
تحليل البيانات
التخصيص
اتخاذ القرار
Design Research
Prototyping
UI/UX Research
Design Thinking

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