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    Week 0 - Introduction To SDGAI

    Uploaded by

    Joel Lim

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    © All Rights Reserved
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    Week 0 - Introduction To SDGAI

    Uploaded by

    Joel Lim
    5 views8 pages

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    Week 0 - Introduction to SDGAI

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    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    5 views8 pages

    Week 0 - Introduction To SDGAI

    Uploaded by

    Joel Lim

    Copyright:

    © All Rights Reserved
    Download as PDF, TXT or read online from Scribd
    Download as pdf or txt
    You are on page 1of 8

    Official Open

    Visual Generative
    AI Application
    Module introduction
    Week 0

    AY2 4/25
    SPEC IALIST D IPLO M A I N APPL I ED G EN ER AT I VE AI ( SD G AI )
    Official Open

    Tutor Self Introduction


    Year 2 (2024/25) Semester 1
    Official Open

    Course Synopsis

    In this module, the basics of visual generative models


    for creating images and their various applications will
    be introduced. Learners will get a chance to explore
    Generative AI models, including popular ones like
    Generative Adversarial Networks (GANs), which help in
    generating images and videos. This module will
    provide learners with opportunities to create simple
    application with these models in image processing.
    Through the experiential learning approach, learners
    will implement the Generative AI models by coding
    with related libraries. Additionally, learners will be
    introduced to Prompt Engineering and AI Ethics.

    Year 2 (2024/25) Semester 1


    Official Open

    Teaching Plan
    Week Topics Practical

    1 Introduction to Generative AI and Generative Models • Basics of PyTorch


    • MNIST Dataset and Training Models using PyTorch
    2 Autoencoders and Variational Auto-encoder • Dataloaders using PyTorch
    • Variational Autoencoders for Handwriting digits generation
    3 Generative Adversarial Networks • Basic GAN for Handwriting digits generation
    • Deep Convolutional GAN for Handwriting digits generation
    4 UNET and Diffusion Models • Introduction to UNET and Diffusion models
    [Assignment Briefing] • Optimizing Diffusion Models
    5 WhiteSpace (Online Learning: Ethics and Responsible Use of Generative AI)

    6 • Introduction to Contrastive Language-Image Pretraining • Conditional Generation Using Conditional GAN


    (CLIP)
    • Putting all together
    • Applications of Generative AI for Image Processing and
    landscape
    • Quiz
    7 Assignment Consultation

    8 Assignment Presentation

    Year 2 (2024/25) Semester 1


    Official Open

    Week Topics Time Remarks


    1 17 Oct 2024 4.5 hrs

    Detailed Schedule 2 24 Oct 2024 4.5 hrs

    • Please refer to your STEPs 3 1 Nov 2024 4.5 hrs


    and tutor for the latest update
    on Detail Schedule. 4 7 Nov 2024 4.5 hrs ASG Release

    5 14 Nov 2024 4.5 hrs

    6 21 Nov 2024 4.5 hrs Quiz

    7 28 Nov 2024 3 hrs Consultation

    8 5 Dec 2024 4.5 hrs Presentation

    9 6 Dec 2024 3 hrs Presentation

    Year 2 (2024/25) Semester 1


    Official Open

    Assessment Mode Weightage (%)

    Continuous Assignment 20
    - Weekly Submission
    Learning and
    Assessment Quiz 20

    Assignment (ASG 1) 60

    Total 100

    Year 2 (2024/25) Semester 1


    Official Open

    Teaching & Learning Approach


    • Use ICT Signature Pedagogy
    • Industry-focused Experiential Learning
    • Hands on usage of industry-relevant application
    • Case studies and in-lesson activities
    • Remote Learning
    • Asynchronous – Online Learning Resources

    Year 2 (2024/25) Semester 1


    Official Open

    Software
    • In this module, we will be using PyTorch
    extensive. I will recommend that you
    complete PyTorch Essential Training to have
    a good foundation in PyTorch and Tensor
    operations.

    Year 2 (2024/25) Semester 1

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