Training: AI in Graphic Design
Level
BeginnerDuration
16h / 2 daysDate
Individually arrangedPrice
Individually arrangedTraining: AI in Graphic Design
Discover the potential of artificial intelligence in the world of graphics and design! In this training, you will learn how to use modern AI tools such as Adobe Firefly, Photoshop, Illustrator, Midjourney, and DALL-E to create professional projects faster and more efficiently. You will see how AI automates routine tasks, boosts creativity, and transforms the design industry. The course also covers ethical and legal issues related to AI in design, and concludes with a final project that allows participants to practically apply their new skills.
What will you learn?
- How to use AI tools in everyday graphic design workflows.
- How to optimize work time through automation of routine tasks.
- How to leverage Adobe Firefly, Photoshop, Illustrator, Midjourney, and DALL-E for creative projects.
- The ethical and legal implications of AI in design.
Who is this training for?
Graphic designers who want to understand and apply AI in their daily work.-
Creative professionals looking for ways to automate and optimize design processes.
-
People interested in modern AI-based graphic tools.
-
Those who want to learn about the legal and ethical aspects of using AI in design.
Training Program
-
Day 1
- Introduction to AI in graphic design
- Definition of AI and its history
- Current technologies and algorithms (machine learning, deep learning, NLP, CV)
- Google vs Microsoft/ChatGPT
-
Using Microsoft Copilot
- Using ChatGPT
- Using Google Gemini
- Implementing AI in the design process
- Automating design processes with AI
- Optimizing work time through automation
- Challenges and issues in AI implementation in design
-
Adobe Sensei – Adobe’s AI engine
- Origins and development
- Key implementations in Adobe applications
-
Adobe Firefly tools
- Generating graphics for design projects – e.g., creating a landscape postcard
- Upcoming features
-
Adobe Express tools
- Introduction to the tool
- Practical examples – modifying templates with AI (e.g., creating a Facebook event graphic)
- Upcoming features
-
Adobe Photoshop tools
- Neural Filters in practice – e.g., creating a winter travel ad with 3D-style effects
- Content-Aware Fill vs Generative Fill
- AI- and ML-based tools for selection and image expansion
- Generating paintings from grayscale images
- Face Aware Liquify and Neural Filters
- Upcoming features
-
Adobe Illustrator tools
- Text to Vector Graphic – e.g., creating wrapping paper patterns and web icons
- AI Recolor and Retype
- Upcoming features
-
AI ethics in design
- Adobe’s legal initiatives
- Legal aspects of AI use in graphic projects
- Designers’ role in the age of AI
-
Draw-to-image tools
- Google AutoDraw – creating an icon for a new zoo exhibit
-
Day 2
- Midjourney, DALL-E
- Introduction and prompt engineering
- Examples: photo of a person in an environment, comic strip from reference, mockups
- Comparison of outputs with identical prompts (stadium, historical building, underwater organism)
-
Draw-to-image tools
- Krea – e.g., generating a realistic burger dripping with cheese, or promotional artwork for an Egypt-themed game series
- Vizcom – creating 5 design concepts for a modern shoe
-
Case studies – successes and challenges
- Analysis of successful AI-driven projects
- Lessons learned and takeaways for designers
-
AI ethics in design (continued)
- Adobe’s legal approach
- Legal aspects of AI in design
- Discussion on the role of designers in the AI era
-
Final project
- Using Midjourney, Photoshop, Krea – creating a product concept with an ad
-
The future of AI in graphic design
- Development perspectives of AI in design
- The evolving role of designers in the age of AI
- Responsible design with AI
