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ai/ml in visuals
UNDER THE HOOD
about the course
Within 7 weeks you will get core theory of Visual AI/ML and handy instruments - both installed on your local machine and available in the cloud - including GANs, Stable Diffusion and other practical tools for image processing.
Academic approach without academic complexity
The course may be treated as a comprehensive guided tour, aimed to establish solid ground for the further AI/ML experiments.
It delivers principles and details of the Neural Networks operations without sinking in the complex math formula and/or professional programming. The architectures and their specifics are also covered up and down - from an entire picture to the low-level experiments.
Creative origin
Author of the course is a recognized practicing artist, thus the program is built upon the artistic point of view, exploring aesthetic (and/or even semantic) side of the technology on par with its functional features. The course also goes beyond popular toolkits and includes few less known tricks and techniques, introduced by the author. In short - it’s by an artist and for the artists.
Clear perspective
One of the most important aspects of the course - the holistic Creative Coding approach, connecting "classic" generative practices like TouchDesigner to the modern AI/ML applications. While it may lack some hot niche topics like prompt engineering, it gives a uniform understanding of the area and its place in the modern hi tech artistry.
Various practical outcomes
Course material represents a balanced combination of theory and custom opensource instruments. Alongside general concepts development, students will master specific tools - from DeepDream to GANs to Stable Diffusion - having it set up at their disposal. This won’t compete with the army of Youtube tutorials tweaking UIs; instead, it completes them with a view from the inside.
Start
date will be announced later,
you can join on the waiting list with an early bird discount
Duration
7 weeks
Your skill level
Beginner, Intermediate
Software
PyTorch/TouchDesigner
Commitment
2 lessons per week
End date
date will be announced later
Format
Online, Curated
Who needs this
Motion Designers Media Artists 3D Artists VR / XR Producers NFT Artists Interactive Developers Musicians VJs AI/ML Enthusiasts Designers
course format & materials
Online video lectures twice a week [Monday /Thursday]
Lecture notes with reference links. Exercises in Colab and with locally installed software
[During the course] Chat with the tutor, course curators, and other participants
Collection of Github repositories and private code with full installation support
Gallery






syllabus
Detailed course program
outcomes from the course
Comprehension of the Neural Networks principles. Low-level experiments with visual ML
Comprehension of the modern NN architectures (convolutional, transformers, diffusion).
Applied skills to train & use modern GAN models.
Practical comprehension of the modern generative paradigm with multimodal models.
Skills to use and customize Diffusion methods.
Use of generative AI/ML in the integrated projects.
Team
We are are a team of professionals ready to help you throughout the journey. Besides an ample technical expertise, each of us has an individual style and a unique vision to share with you.




Vadim Epstein
MEDIA ARTIST, DIRECTOR, EDUCATOR, CODER, VJ
Former IT consultant and casual theoretical physicist, combining serious technical background, strong corporate experience and vivid creative mind. Has worked in various fields such as net.art and science art since 1996, eventually focused on visual media with stochastic algo narratives.
As an artist and curator, had made visuals for hundreds of concerts, festivals, parties, and commercial events. The artworks have been exhibited worldwide in Montreal, Vancouver, Stuttgart, Paris, London, Moscow, Lille; highlighted on the conferences NeurIPS 2020 / 2021 / 2022, CVPR 2021; sold as NFT collections, etc.
Besides commercial and personal projects, has delivered numerous talks, workshops and training courses.
Why people choose AI/ML in Visuals course
The course is not a bunch of Youtube tutorials, rather it’s a holistic ground for your growth in the AI/ML area
It teaches the fundamentals of neural networks
The course is well balanced over the core theory and handy practical tools
The AI/ML in Visuals course has been evolving since 2019
taught to more than 200 artists and designers
The course will teach you how not to fear AI taking your job, Instead, you will learn how to manage them and use them to your advantage
Prerequisites are flexible: the more you know, the more you get. No hardcore math ahead, yet Python literacy is advised
The course follows Creative Coding ideas, exploring custom ways rather than using ready-made tools
The AI/ML in Visuals course expands "old-school" generative practice onto modern AI-driven realms
The course teaches both renowned concepts and bespoke author tricks
777€ 555€
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