AI Image Generation: Theory and Practice

Improve knowledge, promote in-depth understanding and practical skills about:

• The role of AI in generating images and creating visual content;
• Various image generation tools and their effective application.

• Company managers;

• Content creators and managers of social networks;

• Marketing specialists;

• Anyone who wants to learn image generation skills using AI tools and solutions.

• Understand the basic principles of AI image generation tools and their potential in creating different visual materials.

• Apply these tools to create visually appealing content.

• Integrate the generated images into the digital environment, marketing materials and other communication channels.

There are no specific prerequisites.

Not intended.

Training materials prepared by the teacher, which contain the tools reviewed and used in the course, as well as the main insights.

Theoretical part

1. Introduction to AI image generation: Basic concepts of AI image generation;

An overview of image generation tools and examples of their application.

2. A deeper look at image generation tools:

• DALL-E 3 / Copilot Designer and ChatGPT 4;
• Midjourney;
• The unique features and uses of each tool.

3. Creation of prompts.

4. Tips for efficient image generation with AI.

5. Important aspects to pay attention to.

Practical part: workshop and practical examples

1. Introduction to the practical workshop: a small introduction about how the workshop will proceed.

2. Generation of visuals using combinations of different AI tools:

• (DALL-E 3) + Microsoft Designer;
• Chat GPT 4 (DALL-E 3);
• Midjourney + Canva.

By applying each combination of these tools, different types of visual materials will be created: photographs, illustrations, logos, as well as graphic design elements.

3. Adaptation of finished works in the necessary formats of visual materials, and which tools are most suitable for this:

• Microsoft Designer and Canva tools, their use in image processing and their integration into various digital platforms, as well as for other purposes;
• Review of AI Image Quality Improvement Tools.