AI+ Design

The AI Design course teaches how to apply AI in the design process, from automating repetitive tasks to generating creative solutions using AI-driven tools and platforms. 


All students receive:

  • One-Year Subscription (with all updates)
  • High-Quality E-Book
  • Al Mentor for Personalized Guidance
  • Quizzes, Assessments, and Course Resources
  • Exam Study Guide
  • Proctored Exam with one Free Retake

Course Information

Price: $995.00
Duration: 1 day
Exam: AI+ Design
Course Delivery Options

Check out our full list of training locations and learning formats. Please note that the location you choose may be an Established HD-ILT location with a virtual live instructor.

Train face-to-face with the live instructor.

Access to on-demand training content anytime, anywhere.

Attend the live class from the comfort of your home or office.

Interact with a live, remote instructor from a specialized, HD-equipped classroom near you. An SLI sales rep will confirm location availability prior to registration confirmation.

All Sunset Learning dates are guaranteed to run!

Register

Prerequisites:

Required:

  • Understand AI basics and how AI is used – no technical skills required
  • Willingness to think creatively to generate ideas and use AI tools effectively
  • A keen interest and motivation to explore the intersection of AI and design

Recommended:

  • AI+ Executive or AI+ Everyone

 

Target Audience:

  • US & UI Designer
  • Web Designer
  • Graphic Designer
  • Product Designer

 

Course Objectives:

  • Develop a comprehensive understanding of the basics of AI, emphasizing how it can transform design practices and enhance creativity across various disciplines.
  • Investigate and detail the role of specific AI technologies and tools that are transforming the design landscape, such as generative AI, AI-enabled prototyping, and tools for personalization and data-driven design.
  • Dive into how generative AI is applied in design, showcasing practical examples and case studies where AI tools have effectively improved the creative process and project outcomes.
  • Address the ethical considerations and user-centric approaches essential for implementing AI in design, focusing on the responsible use of AI to improve user experiences while maintaining ethical integrity and data security.
  • Highlight the need for ongoing education and adaptability to emerging AI technologies in the design field, stressing the importance of innovation and strategic integration to stay competitive and relevant.

 

Course Outline:

Foundations of Artificial Intelligence (AI) in Design

  • Basics of AI and Its Significance in Design
  • Survey of AI Technologies Reshaping Design
  • Generative AI Introduction for Creative Tasks

AI Tools and Technologies for Designers

  • Exploration of AI Design Tools
  • Generative AI Tools in Practice
  • Advancements in AI-Enabled Prototyping and Testing

Data-Driven Design and Personalization

  • Foundations of Data-Driven Design
  • Personalization Techniques with AI
  • Ethical Considerations in Personalized Design

Generative AI for Creative Exploration

  • Understanding Generative AI in Design
  • Application Scenarios for Generative AI
  • Navigating the Creative Process with Generative AI

AI-Enhanced Prototyping and User Testing

  • Accelerating Prototyping with AI
  • AI-Powered User Testing and Feedback Analysis
  • Ethical and Practical Considerations in AI Testing