Mastering Generative AI Art Practice Exam
Mastering Generative AI Art Practice Exam
About Mastering Generative AI Art Exam
This exam evaluates your knowledge and skills in creating, manipulating, and optimizing generative AI-based artwork using advanced techniques and tools such as DALL-E, Stable Diffusion, and other cutting-edge generative models. It assesses your ability to understand key concepts such as AI-based art generation, prompt engineering, fine-tuning models, and applying generative art in creative and commercial contexts.
Skills Required
- Knowledge of using tools like DALL-E, Stable Diffusion, and other generative models to create unique and high-quality art pieces.
- Ability to comprehend and utilize different AI models designed for visual art generation, including their strengths, limitations, and ideal use cases.
- Expertise in crafting effective prompts that produce desired artistic outcomes, including the ability to adjust and fine-tune inputs to guide AI art creation.
- Skills in enhancing and editing AI-generated artwork, including modifying compositions and applying various filters or effects.
- A strong sense of aesthetics to create visually appealing artworks using generative AI, and to creatively explore diverse artistic styles and techniques.
- Awareness of copyright laws, usage rights, and ethical considerations when creating AI-generated artwork.
Who should take the Exam?
- This exam is designed for artists, designers, and creative professionals who want to harness the power of generative AI for art creation.
- It is also ideal for AI developers, enthusiasts, and technologists interested in exploring the intersection of AI and visual arts.
- If you work in digital content creation, advertising, marketing, or any creative field where art generation plays a key role, this exam will help you master the tools and techniques to produce high-quality AI-generated artwork.
- Additionally, professionals looking to incorporate AI into their design processes or wishing to develop AI art products will find this exam beneficial.
- Familiarity with basic graphic design tools and an interest in exploring AI art technologies is recommended.
Course Outline
The Mastering Generative AI Art Exam covers the following topics -
Domain 1 - Course Introduction
- Instructor Overview and Course Objectives
- Exploring AI Image Generation Tools
- Introduction to AI-Based Image Editing Software
Domain 2 - Understanding DALL-E
- Overview of DALL-E Technology
- Techniques for Image Creation in DALL-E
- Image Editing Functionalities within DALL-E
- Outpainting Capabilities in DALL-E
- Sample Prompt Ideas and Approaches
- A Comparison of DALL-E 2 and DALL-E 3
- DALL-E 3: Using Bing Versus ChatGPT
- Key DALL-E 3 Use Cases and Applications
- Exploring the Gen_ID Parameter in DALL-E 3
Domain 3 - Prompt Creation Techniques
- Crafting Prompts: Focus on Subject and Medium
- Advanced Prompt Structuring: Composition and Action
- Working with Negative Prompts and Stylization
- Artistic Prompt Design Best Practices
- Prompt Examples for Portraits and Landscapes
- Resources for Writing Effective Prompts
Domain 4 - Exploring Images.ai
- Getting Started with Images.ai
- Key Features and Functionalities Overview
- Advanced Settings and Prompt Guidance
- Practical Image Generation Examples
Domain 5 - Lexica.art Overview
- Introduction to Lexica.ai Platform
- Key Features and Image Generation Techniques
- Generating Various Styles: Portraits, Logos, Sci-Fi, and More
- Working with Prompt Guidance and Parameters
- Exploring Image-to-Image Generation
Domain 6 - Dreamstudio.ai Exploration
- Overview of DreamStudio Features
- Image Creation and Adjustments with Seed Parameters
Domain 7 - BlueWillow Introduction
- Introduction to BlueWillow and Its Discord Integration
- Step-by-Step Image Generation with BlueWillow
- Exploring Image-to-Image Generation Techniques
Domain 8 - Getting Started with Midjourney
- Introduction to Midjourney and Setup Guide
- Basic Command Overview for Image Generation
- Exploring Text-to-Image and Image-to-Image Features
- Using /blend and /describe for Creative Prompts
Domain 9 - Advanced Techniques in Midjourney
- Mastering Midjourney Prompts: Weight and Options
- Customizing Image Quality and Style with Midjourney
- In-Depth Exploration of Parameters: Chaos, Seed, and Remix
- Advanced Use Cases: Portraits, Logos, and 3D Models
- Implementing Face Swap Features with InsightFace
- Understanding New Features in Midjourney
Domain 10 - Essential AI Photo Editing Tools
- Overview of Key AI Editing Tools: bigjpg.com and vectorizer.ai
- Introduction to Segment-anything.com and Creatorkit.com
Domain 11 - ClipDrop Image Editing Features
- Exploring ClipDrop’s Image Editing Capabilities
- Advanced Editing with Stable Diffusion, Background Removal, and Relighting
- Image Upscaling and Background Replacement Features
Domain 12 - Adobe Firefly Essentials
- Introduction to Adobe Firefly for Image Editing
- Text-to-Image Creation: Logos, Portraits, and Illustrations
- Generative Fill for Editing Logos and Product Photos
- Creative Editing Tools: Text Effects and Recoloring
Domain 13 - RunwayML Features
- Introduction to RunwayML Platform
- Text-to-Image Generation Techniques
- Custom Image Generator Training in RunwayML
- Image-to-Image and Infinite Image Creation Features
- Advanced Editing: Color Addition, Frame Interpolation, and Upscaling
Domain 14 - Exploring Leonardo.ai
- Overview of Leonardo.ai for Image Generation
- Working with Text-to-Image and Image Parameters
- Advanced Image Control with SD Parameters and Scheduler
- AI Canvas: Outpainting, Inpainting, and Model Training
Domain 15 - Astria.ai Overview
- Introduction to Astria.ai Platform and Capabilities
- Exploring Model Training in Astria.ai
Domain 16 - AUTOMATIC1111 Overview
- Introduction to AUTOMATIC1111 and Setup Guide
- Working with Sampling, Parameters, and CFG Scale
- Image Enhancements with Hires Fix and Advanced Features
