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Advanced Generative AI - Image Generation

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Learn essential skills
Course overview

Unlock the potential of advanced AI image generation techniques. This course is designed to equip you with professional-grade AI image generation skills. Create beautiful, high-quality images from prompts and noisy data. 

Master advanced generative AI skills for image creation

This course explores the potential of quality AI-driven image generation over 3 hours of live, instructor-led online training, empowering you with hands-on experience and insights into AI image generation tools and techniques. 

Learning objectives
  • Confidently apply stable diffusion methods to noisy or incomplete data 
  • Become proficient in denoising techniques to enhance your images 
  • Learn how shared embedding systems effectively represent diverse image features 
  • Gain experience applying contrastive learning techniques to enhance model performance 

What you'll learn

Stable diffusion denoising

This technique enables realistic image generation by starting with noisy inputs and gradually "denoising" them to produce detailed images. Mastering this skill enables highly controlled, stable generation that can create high-resolution, lifelike images. 

Autoencoders in Generative AI

Autoencoders are neural networks that compress data (encoding) and then reconstruct it (decoding) to learn patterns. In generative AI, they help create realistic images by identifying essential features and discarding irrelevant noise. Autoencoders are beneficial for efficient data compression and generation, producing refined images that retain key details while removing excess, ideal for image synthesis and noise reduction. 

Shared embedding spaces

Shared embedding spaces are common representations where different data types (like images and text) are mapped to capture relationships. In image generation, these embeddings allow AI to generate images from text prompts by translating language into visual characteristics. This approach enhances multimodal capabilities, letting models respond more accurately to diverse prompts, making it highly useful in text-to-image generation tasks. 

Contrastive learning techniques

Contrastive learning techniques train AI models to identify unique patterns by contrasting similar and dissimilar examples, strengthening recognition of nuanced details. In image generation, this helps models understand subtle distinctions, improving the quality and relevance of generated visuals. 

What's included
  • 3 hours of instructor-led training in a virtual classroom setting 

Key facts

Certification

This is a skills and knowledge-based course with no formal accreditation. 

Who it’s for

This course is ideal for graphic designers, AI enthusiasts, tech professionals, marketers, and anyone who is keen to increase efficiency by harnessing the power of AI to generate images. 

Prerequisites

There are no prerequisites for this course. 

Exam information

There is no exam for this course. 

Optional extras

There is no exam for this course. 

Pre-course

There is no pre-course work for this training course. 

FAQs

This advanced AI image generation course will build your AI skills and bring your creative ideas to life with industry-standard techniques in stable diffusion denoising, autoencoders for generative AI, shared embedding spaces, and contrastive learning techniques. 

What is AI image generation?

AI image generation involves creating visual content through machine learning models trained to produce realistic or stylistically consistent images. 

Do I need prior AI experience?

Basic AI knowledge is helpful but not essential. The course includes foundational concepts to ensure everyone can succeed. 

Can I apply these skills to professional work?

Absolutely. The course equips you with practical techniques and portfolio-ready projects for use in digital art, marketing, or design. Many other professions can also benefit from this time-saving skill. 

What our customers say

"The quality of education provided is comparable to none. Great stuff!" 

Jerrold Edwards, ILX learner

"Very professional and enjoyable training. Would highly recommend!" 

Clayton Smithwick, ILX learner
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