Overview

AI is being adopted by different types of creatives in diverse ways to enhance their creativity, improve productivity, streamline processes, and explore new creative horizons.

This course outline covers a range of topics, from foundational AI concepts to practical applications, to equip modern designers with innovative solutions.

Levels: Essentials Intermediate Advanced

Course Outline

Essential AI Tools for Designers

  • Introduction to the course structure
  • Objectives and outcomes
  • Overview of AI in the design industry

Understanding AI

  • Basic concepts of AI
  • History and evolution of AI
  • Types of AI (Narrow AI, General AI, Machine Learning, Deep Learning)
  • Automated colour correction

Overview of AI in Design

  • Current applications of AI in design
  • Benefits and challenges of integrating AI into design processes
  • Case studies of AI in design

Concept Development

  • Brainstorming
  • Idea generation
  • Collaborative artboards
  • Inspiration

Machine and Deep Learning

  • What is machine learning?
  • Types of machine learning (supervised, unsupervised, reinforcement learning)
  • Key algorithms and techniques

Deep Learning Essentials

  • Introduction to neural networks
  • Convolutional Neural Networks (CNNs) for image processing
  • Generative Adversarial Networks (GANs) for creative design

Tools and Framework

  • Overview of popular AI tools and frameworks (TensorFlow, PyTorch, Keras)
  • Setting up the environment for AI projects

AI-Powered Design Tools

  • Tools and applications (Adobe Sensei, Canva, etc.)
  • Practical examples of AI in graphic design

Design Creation and Enhancement

  • Neural Filters for photo enhancement and manipulation
  • Content-Aware Fill
  • Automated colour correction

UX/UI Design

  • User behaviour analysis and prediction
  • Automated prototyping and wireframing
  • Personalization and A/B testing

Meta AR/VR

  • AR filters and effects for interactive Facebook and Instagram stories/posts
  • Oculus VR for enhanced experiences

Photography and Visual Arts

  • AI photo editing assistance
  • Sky Replacement
  • Skin enhancement
  • Automated background removal
  • Colour grading for image enhancement
  • Face recognition for organisation and management
  • Tagging and categorising images for organisation and management

Editing Image and Videos

  • Automated editing techniques
  • Style transfer and creative effects
  • Video editing with AI
  • Batch processing

Meta Videos and Audio Processing

  • Automatic captioning
  • Voice commands

Animation and Motion Graphics

  • AI in character animation
  • Motion graphics automation
  • Case studies and practical applications
  • Automated keyframing

Typography and Layout

  • Automated font pairing and selection
  • Handwriting and font conversion
  • Responsive and adaptive design
  • Layout generation with AI

Creative Collaboration

  • AI-managed version control for real-time project collaboration
  • Project management (design process tracking)

User Research and Testing

  • AI tools for user research (Hotjar, UserTesting)
  • A/B testing and multivariate testing with AI

Data-Driven Design

  • Importance of data in design
  • Responsive and adaptive design
  • Collecting and analysing design data
  • Meta User behaviour analysis

Personalization and Predictive Design

  • Using AI for personalized user experiences
  • Predictive design techniques
  • Meta AI algorithm analysis (user interactions, preferences, and behaviours) for personalised content
  • Meta Targeted ads

Meta Natural Language Processing (NLP)

  • Chatbots and virtual assistance
  • Translation services

Ethical Considerations

  • Ethical implications of AI in design
  • Bias and fairness in AI algorithms
  • Privacy and data security

Future Trends in AI and Design

  • Emerging trends and technologies
  • The future of human-AI collaboration in design
  • Preparing for the future: skills and learning

Project Planning and Proposal

  • Selecting a project topic
  • Defining objectives and outcomes
  • Project proposal submission

Project Development

  • Implementing AI tools and techniques
  • Regular progress reviews and feedback

Get the course outline PDF