AI COURCES BY AI CERTs™, NOW AVAILABLE AT CONESA NETWORKS • AI COURCES BY AI CERTs™, NOW AVAILABLE AT CONESA NETWORKS • AI COURCES BY AI CERTs™, NOW AVAILABLE AT CONESA NETWORKS •

AI+ Design (AID)

The program is designed to prepare designers to lead the evolution of design in an AI-driven future.

  • Graphic designers
  • UI/UX designers
  • Product designers
  • Creative professionals interested in AI
  • Individuals seeking to enhance their design skills with AI

Course Objectives:

  • Master Generative AI for Creative Exploration: Utilize generative AI tools to explore new design possibilities, fostering creativity and innovation in design projects.
  • Enhance Prototyping and User Testing with AI: Learn to streamline the prototyping process and enhance user testing using AI, leading to faster and more effective iterative design.
  • Implement Data-Driven Design and Personalization: Apply AI to analyze user data and create personalized designs, enhancing user experience and engagement.
  • Develop Strategic AI Implementation Skills: Gain the strategic skills necessary to integrate AI technologies into design workflows effectively and ethically.

Module 1: Foundations of Artificial Intelligence (AI) in Design

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

Module 2: AI Tools and Technologies for Designers

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

Module 3: Data-Driven Design and Personalization

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

Module 4: Generative AI for Creative Exploration

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

Module 5: AI-Enhanced Prototyping and User Testing

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

Module 6: Strategic Implementation of AI in Design Projects

  • 6.1 Building a Framework for AI Integration
  • 6.2 Leading AI Adoption in Design Teams
  • 6.3 Measuring the Impact of AI on Design Projects

Module 7: Emerging Technologies and the Future of Design

  • 7.1 Exploring Emerging Technologies in Design
  • 7.2 Anticipating the Future of AI in Design
  • 7.3 Preparing for Change and Innovation

Module 8: Continuous Learning and Development in AI+ Design

  • 8.1 Lifelong Learning Strategies for Designers
  • 8.2 Keeping Pace with Technological Advancements
  • 8.3 Implementing a Culture of Innovation and Continuous Improvement
  • Basic understanding of AI concepts
  • Willingness to learn and apply AI tools and techniques
  • A keen interest and motivation to explore the intersection of AI and design
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