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Course Details
Course Details
What You'll Learn
Topic 1 Generating 3D Models with AI
- Introduction to Generative AI for 3D Modeling
- Prompting for Geometry, Style and Detail
- Text-to-3D Model Generation
- Image-to-3D Model Generation
- Generating Textures and Materials with AI
Topic 2 Refining and Exporting AI-Generated Assets
- Importing AI-Generated Models into Blender
- Mesh Cleanup and Retopology
- Applying and Adjusting AI Textures
- Exporting Assets for Games, 3D Printing and Visualization
Course Info
Prerequisite
Basic computer and file-management skills are expected. Familiarity with basic 3D modelling and file management will help you follow the exercises.
Software Requirement
You will need the following for this course:
- Blender – free
Install and test the listed software before class. Confirm the required version and account or licence access in your joining instructions. Cloud and AI services may charge subscription or usage fees.
Hardware Requirement
Bring a Windows or Mac computer supported by the course software, with a mouse and enough free disk space for exercise files. Check the vendor's memory and graphics requirements before installing.
Bring your own computer and charger, with a reliable internet connection and permission to install the required software. For live online classes, also prepare a microphone or headset.
If you need help arranging a suitable device, contact us before the class to confirm availability.
Job Roles
Job Roles
- Architectural Draftsman
- Interior Designer
- Landscape Designer
- Urban Planner
- Furniture Designer
- Exhibition Designer
- 3D Modeler
- Game Environment Artist
- Civil Engineer (for basic modeling)
- Stage/Set Designer
- Real Estate Developer (basic visualizations)
- Construction Estimator
- Product Designer
- Event Space Planner
- Educational Content Creator (for spatial subjects)
Trainers
Trainers
Dr. Muhammed Siraj is a cybersecurity specialist and academic with 15 years of experience, serving as Senior Lecturer in the Department of Informatics and Director of Graduate and Continuous Education at Academic City University in Accra. He holds a PhD in Security in Computing from Universiti Putra Malaysia, where his research focused on blockchain security, an MSc in Information and Communication Technology from Aalborg University in Denmark, and a degree from the University of Ghana. He is a licensed independent assessor with Ghana's Cyber Security Authority, holds leadership roles in national cybersecurity and privacy professional bodies, and is certified as a Certified Ethical Hacker (CEH), Computer Hacking Forensic Investigator (CHFI) and Certified Data Protection Supervisor (CDPS). Before joining Academic City, he served as Acting Director of ICT and Data Protection Supervisor at Wisconsin International University College. His expertise spans penetration testing, digital forensics, incident response, malware analysis, cryptography, cloud and IoT security, zero trust architecture, cyber threat intelligence, data protection, and governance, risk and compliance.
Dr. Siraj's research interests cover blockchain, cybersecurity, distributed computing, consensus protocols and machine learning, with published work on blockchain consensus security, smart-contract privacy preservation for sensitive records in the cloud, and new consensus mechanisms. This background gives him a distinctive perspective on artificial intelligence: as organisations adopt AI tools, agents and data-driven automation, he helps learners understand how to protect the data these systems depend on, recognise new attack surfaces, and put sound governance, privacy and access controls in place so that AI can be used safely and responsibly. In the classroom he connects technical practice with regulation, privacy and human factors, drawing on real-world security and data-protection cases to show how concepts apply in professional settings, and his experiential, hands-on teaching style has made him a trusted trainer for students and working professionals alike.
Working at the meeting point of generative AI and visual creation, Dr. Alfred Ang builds tools that turn plain descriptions into images, scenes and interactive graphics. Dr. Ang is a full-stack AI developer, Agentic AI solution architect and corporate trainer, and serves as CTO of Tertiary Infotech Academy Pte Ltd, the Singapore training organisation behind Tertiary Courses, delivering solutions end-to-end from front end and back end to databases, cloud deployment and native mobile apps. More than 300 public repositories on GitHub capture that range. The most relevant to this course is a browser-based WebXR playground for generating and reviewing AR and VR scenes from vibe prompts, where a short description becomes a three-dimensional environment that can be explored and refined. Dr. Ang also built a logo generator that produces design options from a text brief using Gemini or OpenAI image models, an offline GPU-accelerated fractal art generator for iPhone and iPad with an OpenGL-based Android counterpart, and a Procreate-style sketching studio with layers, symmetry and pressure-sensitive brushes on iOS and Android. A video creation tool that turns any topic into a narrated, animated video completes a portfolio centred on prompt-driven visual work, where the creative brief comes from a person and the repetitive generation is handled by AI. Building these tools has given Dr. Ang a practical understanding of how prompt wording, reference material and iteration shape generated output, and of the review steps needed before AI-created visuals are good enough to share with clients, colleagues or a production team.
In Generative AI for 3D Modeling, Dr. Ang uses that experience to help product designers, engineers, architects, game and animation artists and makers adopt AI-assisted 3D workflows with confidence. The first topic covers generative AI for 3D design concepts and modelling, showing how text descriptions, reference images and sketches can be turned into initial 3D models in minutes, and how to write prompts that control form, proportion and style. The second topic turns to AI-assisted analysis, validation and refinement: inspecting generated meshes for problems, comparing variations, and iterating on details until a concept is fit for review. The final topic deals with optimisation, standards and production workflows, including cleaning up geometry, preparing models for rendering, real-time use or fabrication, and exporting to the formats downstream teams need. Drawing on the iterate-and-review loop built into the WebXR playground and the image tools in the portfolio, Dr. Ang stresses that AI accelerates the early and repetitive stages while human judgement decides what is good enough to ship. Sessions combine live demonstrations with guided practice, and participants are encouraged to bring their own design challenges so they leave with models and a repeatable workflow they can apply at work. Participants also discuss practical considerations such as intellectual property in AI-generated assets, keeping a clear record of prompts and versions, and communicating with engineers or clients about what an AI-assisted concept can and cannot yet show, so that adoption fits smoothly into existing design processes. Learners can explore Dr. Ang's visual AI projects at https://github.com/alfredang.
Review
Customer Reviews (6)
- Highly recommended Review by Course Participant/Trainee
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The training was very practical and hands-on. I could apply what I learned to my work immediately. (Posted on 6/23/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Very informative Review by Course Participant/Trainee
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I found the course extremely useful and relevant to my job. Highly recommend it to others. (Posted on 3/2/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Well structured course Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 2/6/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Hands-on and practical Review by Course Participant/Trainee
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Good hands-on training with plenty of examples. I feel much more confident applying these skills now. (Posted on 2/6/2026)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment - Fantastic experience Review by Course Participant/Trainee
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A very practical course. The trainer made a complex topic simple and enjoyable to learn. (Posted on 9/13/2025)1. Do you find the course meet your expectation? 2. Do you find the trainer knowledgeable in this subject? 3. How do you find the training environment
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