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Coursera

Figma AI: Productivity Tools for Designers

via Coursera

Overview

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In this course, you will learn how to use AI tools in Figma intentionally and responsibly within real design workflows. You will understand where AI features live in Figma, what problems they are designed to solve, and how to evaluate their output critically instead of accepting it by default. You will develop practical skills in prompting, refinement, and decision-making, learning how to guide AI clearly while retaining ownership of design outcomes. The course focuses on AI as a support system for designers and marketers, not as an automated replacement for judgment or creativity. You will explore core AI features across layout generation, content assistance, visual refinement, presentations, and collaboration, and learn how these tools behave in real files. You will also examine professional considerations, including ethics, safety, bias, and responsibility, which become increasingly important as AI becomes part of everyday design work. What makes this course unique is its emphasis on evaluation and judgment rather than feature memorization. Instead of teaching shortcuts or projects, the course helps you build a long-term mindset for working with AI thoughtfully. By the end, you will be better equipped to decide when AI adds value, when it does not, and how to stay in control as tools continue to evolve.

Syllabus

  • Foundations of AI-Powered Design in Figma
    • This module introduces how AI is integrated into Figma and how it fits into real design workflows. You will understand what Figma’s AI tools are designed to do, how they work within the canvas, and why human judgment remains central when using AI in design.
  • Core AI Features in Figma
    • This module provides an overview of Figma’s core AI-powered tools, including layout generation, content assistance, and presentation workflows. You will explore where each AI feature lives, what problems it solves, and how it can accelerate everyday design tasks without replacing design intent.
  • Editing, Refinement & AI-Assisted Cleanup
    • This module focuses on refining AI-generated designs. You will learn how AI supports clarity, hierarchy, visual consistency, and content adjustments, and how to critically review AI output as a draft rather than a final design decision.
  • Prompting for Designers — Getting the Results You Want
    • This module teaches how to communicate effectively with AI through prompts. You will learn how AI interprets prompts based on context and structure, how to write clear and scoped instructions, and how to use practical prompt patterns that lead to more predictable results.
  • Collaboration, Dev Mode & Handoff
    • This module explores how AI-generated designs move through collaboration and handoff stages. You will learn how AI fits into team workflows, how designers evaluate AI output before sharing it, and how responsibility for clarity and structure remains with the designer.
  • Ethics, Safety & Professional Use
    • This module addresses responsible use of AI in design. You will examine bias, safety, copyright considerations, and professional boundaries, learning how to make informed decisions when using AI tools in real-world design contexts.
  • Summary & Future Trends
    • This final module reflects on what you have learned and looks ahead to how AI in design may evolve. You will consolidate key concepts from the course and focus on developing a long-term, intentional mindset for working with AI as tools continue to change.

Taught by

Anton Voroniuk

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