Generative AI for 3D Modeling
About This Course
Generative AI for 3D Modeling equips participants with practical skills to create, refine, and optimize 3D models using AI-assisted design workflows. Participants will learn how generative AI can translate text descriptions, reference images, sketches, and design requirements into 3D concepts, model variations, textures, and production-ready assets.
The course covers essential 3D modeling principles, including geometry, topology, materials, lighting, scale, and model organization. Learners will apply effective prompting techniques to generate design concepts, refine shapes, compare alternatives, automate repetitive tasks, and improve the quality and consistency of 3D assets.
Through hands-on projects, participants will create 3D models for product visualization, animation, games, architecture, marketing, and other creative applications. They will also learn to validate AI-generated models, correct geometry and topology issues, optimize polygon counts, apply textures and materials, and prepare assets for rendering, animation, or export. By the end of the course, learners will be able to combine generative AI with traditional 3D modeling techniques to accelerate ideation, improve productivity, and produce high-quality 3D designs aligned with project requirements.
What You'll Learn
- Devise metrics for mechanical drawings and formulate solutions
- Analyze mechanical drawings for accuracy and design solutions.
- Review mechanical drawings for organizational strategies and ensure conformity to standards.
Course Outline:
Topic 1: Generative AI for 3D Design Concepts and Modeling
Topic 2: AI-Assisted 3D Model Analysis, Validation and Refinement
Topic 3: 3D Model Optimization, Standards and Production Workflows
Entry Requirements
Knowledge and Skills
• Able to operate using computer functions
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience
Target age group: 21-65 years old