1st lesson belanja
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Leonardo
- Rate RM572
- Response 1h
-
Students1
Number of students accompanied by Leonardo since their arrival at Superprof
Number of students accompanied by Leonardo since their arrival at Superprof
RM572/h
Contact
1st lesson belanja
- Computer Science
- Machine learning
Python & AI Automation for Creative Pipelines, AI-Assisted Workflows for VFX, Animation and Technical Art
- Computer Science
- Machine learning
Lesson location
About Leonardo
I’m a Senior Technical Director and pipeline developer with more than 20 years of experience in the visual effects and animation industry.
Throughout my career I’ve worked in Italy, France, Belgium, and the UK, contributing to VFX, animation, procedural workflows, automation systems, and production pipeline development across multiple studios and projects.
Over the years I’ve developed production tools, automation systems, and workflow solutions for Maya, Houdini, Blender, and mixed studio environments.
In recent years I’ve specialised in integrating AI-assisted technologies into real production workflows, combining Python, automation, computer vision, local AI systems, and technical pipeline development.
My background combines software development, production problem solving, procedural workflows, and technical art, allowing me to teach AI and automation from a practical industry perspective rather than a purely academic one.
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About the lesson
- Intermediate
- Advanced
- Professional
levels :
Intermediate
Advanced
Professional
- English
All languages in which the lesson is available :
English
This course focuses on practical AI-assisted workflows and automation systems for VFX, animation, creative production, and technical art.
Rather than focusing on Generative AI image creation alone, the course explores how AI technologies can be integrated into real production environments to automate tasks, improve workflows, accelerate repetitive processes, and support technical artists and developers.
Lessons are highly practical and adapted to the student’s goals and technical level.
Topics may include:
Python automation
AI-assisted workflows
Workflow automation systems
Computer vision fundamentals
OpenCV for artists and TDs
Local AI systems
AI APIs and integrations
Pipeline automation
AI tools for content analysis
Intelligent asset management
Metadata extraction
Batch processing systems
AI-assisted production workflows
AI for technical artists
Automation tools for Maya, Houdini and Blender
AI integration in production pipelines
Practical machine learning concepts
AI-assisted debugging and workflow optimisation
My teaching approach focuses on simplifying complex technical systems into smaller and understandable building blocks.
Students learn not only how to use tools, but also how to design scalable automation systems and technical workflows that can be applied to real production scenarios.
This course is ideal for:
Technical artists
Pipeline TDs
VFX artists
Developers interested in creative technologies
3D artists wanting to learn automation
Professionals interested in AI-assisted workflows
Studios exploring AI integration
Artists transitioning towards technical roles
Please note:
This is not a Deep Learning research course focused on advanced mathematics or neural network training. The focus is practical workflow integration, automation, and production-oriented AI systems.
Requirements
This course is designed for artists, technical artists, developers, and creative professionals interested in AI-assisted workflows, automation, and production pipelines.
Students are expected to have:
Basic computer literacy
Interest in technical and creative workflows
Curiosity towards automation, AI tools, and production systems
A reasonably modern computer for practical exercises (a dedicated GPU is recommended for some local AI workflows)
Useful but optional experience:
Basic familiarity with Maya, Houdini, Blender, or other 3D software
Basic Python or scripting knowledge
Interest in VFX, animation, procedural workflows, technical art, or pipeline development
Please note:
Lessons are adapted to the student’s technical level and goals. Advanced topics such as automation systems, AI integrations, computer vision, or pipeline workflows may require previous experience with Python, scripting, or node-based systems.
This is not a Deep Learning research course focused on advanced mathematics or neural network training. The course focuses on practical AI integration, workflow automation, and production-oriented technical systems.
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Rates
Rate
- RM572
Pack rates
- 5h: RM2860
- 10h: RM5720
online
- RM572/h
free lessons
This first lesson is free to allow you to get to know your teacher so that they can best meet your needs.
- 1hr
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