AI-Powered UI/UX Design with Figma

In this lesson, you'll learn how to use Figma Make to quickly generate a landing page hero section. We'll cover how to craft effective prompts, refine the AI-generated design using design system principles, and ensure responsive behavior.

In this lesson, you'll learn how to use FigJam AI to quickly plan a user flow and then use that flow as the basis for creating a screen list. This process is crucial before building high-quality UI design, especially for onboarding processes.

In this lesson, you'll learn how to use Relume to quickly plan a website's structure, page hierarchy, sections, and content blocks. You'll learn about AI's role in creating information architecture, as well as the designer's tasks in prioritizing pages, ensuring clear navigation, and establishing a system of reusable sections.

In this lesson, you'll learn how to use the Magician plugin to quickly generate UI copy and microcopy in Figma. You'll learn criteria for evaluating AI-generated text and how to refine it to ensure a clear, action-oriented user experience.

In this lesson, you'll learn how to use AI-assisted Figma tools, such as the Genius plugin, to generate ideas for component variants. You'll learn how to turn these ideas into a structured, developer-friendly design system, specifically in the context of a checkout screen.

In this lesson, you'll learn how to use Figma Variables and Design Tokens to turn visually inconsistent, AI-generated UI into a consistent, production-ready design. You'll learn how to plan, create, and use tokens for colors, spacing, and radius, ensuring the quality of your design system.

In this lesson, you'll learn how to turn visually correct but inflexible AI-generated Figma frames into real, responsive product UI using Auto Layout. The lesson focuses on a signup form example to show how to transform an AI-created static layout into desktop and mobile versions.

In this lesson, you'll learn how to use AI tools like Claude and ChatGPT to create effective UX copy for an onboarding flow. We'll cover the importance of contextually accurate text, refining AI-generated content, and integrating it into Figma.

This lesson covers the critical process of synthesizing user research, turning data into actionable insights. We'll explore how Maze AI and other AI tools help identify recurring patterns, friction points, and design decisions, ultimately improving the UI.

In this lesson, you'll learn how to conduct an accessibility audit on AI-generated designs. We'll cover common issues such as low contrast and incorrect focus order, and learn how to use the Stark and A11y plugins in Figma to ensure design quality.

In this lesson, you'll learn how to use Prompt-to-UI tools, such as v0, to speed up the design-to-code handoff process. We'll cover how to consistently map Figma design tokens, component logic, and state into React components using Tailwind CSS, so that AI-generated code becomes production-ready.

This lesson covers the role of Cursor, an AI coding assistant, in integrating a Figma design into a codebase. We'll explore how Cursor helps maintain existing project structure, naming conventions, and design system consistency, as well as learn how to craft effective prompts and understand the importance of code review for a high-quality handoff.

This lesson explores the tools Lovable and Bolt, which allow designers to quickly create clickable MVPs or frontend prototypes using AI prompts. We'll cover their value for quickly validating user flow, screen logic, and form states, as well as best practices for integrating them into the design workflow.

This lesson explores the concept of UXPin Merge, which connects design systems with real code components. We'll cover how this approach reduces handoff ambiguity and how AI is used to create component maps, using an admin dashboard filter bar as an example.

This lesson brings together all the tools and concepts learned throughout the course into a single, effective AI UI/UX sprint workflow. Learn how to turn an idea into a structured prototype and a frontend handoff plan, using the right tools at the right stage.