CF

AI & Design Systems

8h 15m 18s
English
Paid

Unlock the future of digital product creation with our advanced course focused on AI and design systems. This course delves into essential concepts, cutting-edge technologies, and effective implementation strategies to enhance your skills in today’s dynamic environment.

This program is tailored for all professionals who impact the success of digital products within their organization. Whether you function as a designer, developer, product owner, manager, or leader, you'll gain an in-depth understanding of how AI integrates with design systems to elevate digital product quality. Our course seamlessly blends foundational knowledge with detailed practical insights to ensure you can proficiently navigate this subject matter.

Course Benefits

By enrolling in and completing this course, you will be equipped to:

  • Navigate the AI Landscape: Distinguish the true value of AI amidst the noise and stay ahead in the ever-evolving AI domain.
  • Utilize Critical Design Infrastructure: Understand the pivotal role of design systems in the AI-driven setting.
  • Enhance Product Creation: Become adept at leveraging the synergy between AI and design systems to craft superior digital products.
  • Accelerate AI Adoption: Employ architecture models and case studies to foster AI and design systems' integration.
  • Transform Team Dynamics: Streamline workflows and boost efficiency without reducing product quality.
  • Enhance Collaboration: Bridge designers and developers through shared concepts, languages, and frameworks.
  • Optimize Resource Usage: Effectively synchronize diverse environments, tools, and project components to save time and effort.

Course Structure

The course is self-paced and enriched with comprehensive video lessons that blend strategic theories with hands-on applications, exemplifying how AI and design systems are mutually advantageous. Below is a breakdown of the chapters covered:

Chapter 1: AI + Design Systems

Explore foundational concepts and interaction models that enhance the efficiency, consistency, and quality of digital products through AI and design systems.

Chapter 2: Technologies and Tools

Gain insight into the rapidly evolving landscape of technologies and tools within the realms of AI and design systems, equipping you for future challenges.

Chapter 3: Environments and Setup

Learn to integrate AI within design platforms, development environments, documentation processes, and other vital elements throughout the product lifecycle.

Chapter 4: Contextual Workflow of Design Systems

Master the utilization of AI for component creation, design artifact verification, translatory design-to-code processes, implementation validation, and accelerating high-quality deliverables.

Chapter 5: System Support and Readiness for Change

Develop a culture of adaptability and resilience to thrive in a constantly changing environment, ensuring your team is always ready for transformation.

Additional

PRE-ORDER Version of course. To be continue....

About the Authors

Brad Frost

Brad Frost thumbnail

Brad Frost is a US web designer and the author of Atomic Design — one of the most influential books on design-system construction and the methodology that anchored a generation of design-system thinking. He runs Big Medium, a design-systems consultancy, and is one of the most cited independent voices on the design-system discipline.

His CourseFlix listing carries two Brad Frost courses: Subatomic — The Complete Guide to Design Tokens (the canonical paid resource on design tokens) and AI & Design Systems (the emerging intersection of AI tooling with design-system construction).

Material is paid and aimed at product designers and design-system maintainers responsible for the architectural decisions in their organisation's design system. For broader content, see CourseFlix's UI/UX Design category page.

Ian Frost

Ian Frost thumbnail

Ian Frost is a UK-based product designer focused on design systems and design tokens — the architectural primitives underneath modern multi-platform design systems. He has been one of the more visible independent voices on the design-tokens-as-source-of-truth approach to scaled design.

His CourseFlix listing carries two Ian Frost courses: Subatomic — The Complete Guide to Design Tokens (the canonical paid resource on design tokens) and AI & Design Systems (the emerging intersection of AI tooling with design-system construction).

Material is paid and aimed at product designers and design-system maintainers responsible for the architectural decisions in their organisation's design system. For broader content, see CourseFlix's UI/UX Design category page.

TJ Pitre

TJ Pitre thumbnail

TJ Pitre is a designer and educator focused on the intersection of AI tooling with design-system construction — one of the more current threads in product-design work as AI-assisted workflows reshape how design systems are maintained.

His CourseFlix listing carries AI & Design Systems — a structured treatment of how AI-coding and AI-design tools integrate into design-system maintenance workflows: the automation patterns, the documentation generation, and the engineering decisions for shipping AI-assisted design-system tooling.

Material is paid and aimed at design-system maintainers ready to incorporate AI tools into their workflow. For broader content, see CourseFlix's AI for Business & Product category page.

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#1: 001 Intro 1080p
All Course Lessons (48)
#Lesson TitleDurationAccess
1
001 Intro 1080p Demo
00:58
2
002 Our Design Systems and AI Experience 1080p
03:49
3
003 Grounded in Reality and Respect 1080p
02:39
4
004 Moving Beyond the AI Hype Cycle 1080p
01:34
5
005 Course Outline 1080p
04:23
6
006 Join The Community 1080p
01:30
7
007 Who This Course Is For 1080p
02:20
8
008 Nuance and Responsibility around AI 1080p
03:58
9
009 Expectations and Next Steps 1080p
01:29
10
010 AI that knows (and uses) your design system 1080p
01:01:15
11
011 01 - Agentic Design Systems in 2026 with Storybook - Intro from Dominic Nguyen 1080p
11:59
12
012 02 - Agentic Design Systems in 2026 - Storybook MCP 720p
08:55
13
013 Into Design Systems - Vibe Coding Jam November 2025 720p
02:04:21
14
014 Part 1 Why Figma Console MCP 540p
07:58
15
015 Part 2 From System-Wide Awareness to Pinpoint Precision 720p
09:23
16
016 Part 3 Figma Console MCP vs. Dev Mode MCP – Component Creation 720p
09:50
17
017 Part 4 Unlocking Full Variable Access 540p
08:01
18
018 Part 5 Plugin Development and AI Feedback Loops 540p
07:30
19
019 Figma MCP → Web Components → React Storybook → Story UI 540p
06:38
20
020 Using Claude Desktop with Figma MCP, Story UI, and Design Systems Assistant 720p
06:15
21
021 Generate Stories in Story UI using Claude Desktop 540p
07:19
22
022 Installing Story UI Into Existing Custom Design System in Storybook 720p
10:11
23
023 Using Figma MCP with Claude Code
08:21
24
024 Design Systems Assistant Overview
02:48
25
025 Connecting The Design Systems Assistant to ChatGPT
07:22
26
026 Documentation Integrating Grammarly with Design Systems
08:20
27
027 Using MCP Apps with Figma Console MCP To Analyze Design System
07:34
28
028 Linting Components with FigmaLint
08:45
29
029 Figma Lint AI Model Integration and Features
11:01
30
030 Installing Figma Console MCP
08:26
31
031 Using the Figma Console MCP Effectively
14:17
32
032 Figma Console MCP Capabilities
13:47
33
033 Using Figma Console MCP for Enterprise Design System Applications
10:04
34
034 Implementing Code-Only Props Technique with Figma Console MCP
06:08
35
035 Figma Console MCP Design To Code Demo
11:48
36
036 Figma Console MCP Code To Design - Fixing Drift
08:47
37
037 Story UI and Claude Desktop
06:15
38
038 Cursor Features and Story UI
07:13
39
039 Using the Figma MCP and Design Systems Assistant
06:40
40
040 Understanding AI-Generated Interfaces with A2UI
19:45
41
041 Welcome!
00:26
42
042 AI & Design Systems Benefits Infomercial
00:37
43
043 Course Goals & Outcomes
01:43
44
044 Who This Course Is For
01:47
45
045 Meet Your Teachers
03:09
46
046 Our Collective AI Experience
01:27
47
047 Principles & Our Approach to AI
13:26
48
048 What To Expect
03:07
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Frequently asked questions

What prerequisites are needed before taking this course?
There are no specific prerequisites mentioned for this course, making it accessible for professionals across various roles such as designers, developers, product owners, managers, and leaders. A basic understanding of digital product creation and design systems may be beneficial to fully grasp the course content.
What practical skills can I expect to gain from this course?
Students will learn to leverage the synergy between AI and design systems for digital product creation, including using tools like Figma Console MCP, Story UI, and integrating AI with design systems for enhanced product quality. The course also covers practical applications such as component creation, AI feedback loops, and integrating design systems with AI models like ChatGPT and Claude Desktop.
Who is the target audience for this course?
The course is tailored for professionals involved in digital product success, including designers, developers, product owners, managers, and leaders. It aims to equip these roles with the knowledge to integrate AI with design systems effectively to improve digital product quality.
How does this course compare in depth and scope to other similar courses?
This course offers a blend of foundational knowledge and practical insights into AI and design systems. It covers a wide range of topics, such as AI architecture models, design systems integration, and enhancing team dynamics. The inclusion of tools like Figma MCP and Storybook provides a comprehensive understanding that may exceed the scope of other courses focusing solely on AI or design systems.
What is not covered in this course?
The course does not cover in-depth programming or coding skills. While it involves tools like Figma and Storybook, the focus remains on integration and application of AI within design systems rather than developing coding expertise.
How much time should I expect to commit to complete this course?
The course consists of 48 lessons, but the total runtime is not specified. Given the detailed nature of the lessons, expect to dedicate significant time to not only watching the lessons but also engaging with practical applications and exercises to fully benefit from the course.
Can the skills learned in this course be applied to other career areas?
Yes, the skills acquired, such as integrating AI with design systems and using tools like Figma MCP, are applicable across various roles in digital product development and management. The course's focus on improving team collaboration and product quality can enhance career opportunities in any organization prioritizing digital transformation and innovation.