Why take this course
In this course, you will learn not only how to design but also how to design faster. You will configure a set of tools that turns AI into your assistant throughout the entire creative process, helping you accelerate research, ideation, design, prototyping, and testing activities.
By combining UX design fundamentals with modern AI-powered workflows, you will gain practical skills that reflect how contemporary digital products are designed and developed.
What you’ll learn
- User research: interviews, observations, scenarios, and competitive analysis.
- Wireframing and mockups: wireframes, Grid Systems, Responsive Web Design (RWD), and Material Design in Figma.
- Prototyping: creating interactive prototypes and bringing ideas to life using modern design tools.
- User testing: planning sessions, participant recruitment, and results analysis.
- AI in the UX process: environment setup, knowledge bases, and AI design agents.
- Voice communication with AI: effective collaboration with Claude using SuperWhisper
Certification & Exam
Upon completion of the course, participants receive a certificate confirming their UX Designer competencies.
There is no final exam. Successful completion requires active participation in the training sessions
Who is this course for
This course is ideal for:
- Students and graduates from various fields who want to start a career in UX Design.
- Career changers looking to transition into a UX Designer role, regardless of previous experience.
- Design practitioners who want to incorporate AI into their daily workflow and significantly increase their productivity.
No prior UX design experience is required.
Training schedule
Introduction to UX and Design Thinking
- What is UX? Understanding UX and UI characteristics.
- Human-centered design thinking.
- High-level project planning.
- Research methods: observation, interviews, and scenarios.
- Competitive product analysis
Ideation and UI Patterns
- Best practices for web applications
- User interface elements and design patterns
- Problem identification and research organization
- Fundamentals of sketching and ideation
Wireframing and AI Environment Setup
- What wireframes are and how they serve as a specification
- Introduction to Figma and application wireframing
- Environment setup: Claude + Obsidian + Figma
- Building a project knowledge base for AI agents
- SuperWhisper installation and configuration
Mockups and AI in Visual Design
- Grid Systems, Responsive Web Design (RWD), and GUI design
- Google Material Design, Atomic Design, and App Design
- Developing application concepts with the Claude assistant
- Using AI in Figma to generate component variations and descriptions
Prototyping and Chrome AI
- Selecting tools, planning, and defining prototype scope
- Application prototyping in Figma
- Configuring Chrome AI to analyze coded prototypes
- Previewing and commenting on working code directly in the browser
Usability Testing and AI Workflow Summary
- Selecting testing methods, creating scenarios, and recruiting participants
- Observing user behavior and analyzing research results
- Using AI to synthesize findings from usability tests
- Building a complete AI-powered UX/UI designer workflow
