WSQ - Practical Image Generation Using GAN, VAE, and Diffusion Models

Topic 1: Introduction to Generative Adversarial Network (GAN)

• Overview of Generative Adversarial Network (GAN)
• Basic GAN Framework

Topic 2: DCGAN, WGAN & Conditional GAN

• Deep Convolutional GAN (DCGAN)
• Wasserstein GAN (WGAAN)
• Conditional GAN (CGAN)

Topic 3: Variational Autoencoders (VAEs)

• Autoencoders
• Variational Autoencoders (VAEs)

Topic 4: Introduction to GAN Algorithms

• Image to Image Translation (Pix2Pix) GAN
• Cycle GAN, Disco GAN, Dual GAN

Topic 5: Applications of GAN

• Super Resolution GAN (SRGAN)
• Style Transfer GAN (StyleGAN)
• Photo Editing Using GAN

Topic 6: GAN Evaluation and Guidelines

• Likelihood and Quality of GAN
• Objective Evaluation
• Mode Dropping

Final Assessment

• Written Assessment - Short Answer Questions (WA-SAQ)
• Practical Performance (PP)

Promotion Code

Promo or discount cannot be applied to WSQ courses

Minimum Entry Requirement

Knowledge and Skills

• Able to operate using computer functions
• Minimum Polytechnic Diploma
• Basic programming skill, preferably Python.

Attitude

• Positive Learning Attitude
• Enthusiastic Learner

Experience

• Minimum of 1 year of working experience.

Minimum Software/Hardware Requirement

Software:

Download and Install the following software

• Python
• Visual Studio Code
• Anacoda

Sign up free Google Colab account

Hardware: Window or Mac Laptops

About Progressive Wage Model (PWM)

The Progressive Wage Model (PWM) helps to increase wages of workers through upgrading skills and improving productivity. 

Employers must ensure that their Singapore citizen and PR workers meet the PWM training requirements of attaining at least 1 Workforce Skills Qualification (WSQ) Statement of Attainment, out of the list of approved WSQ training modules.

For more information on PWM, please visit MOM site.

Funding Eligility Criteria

Steps to Apply Skills Future Claim

• The staff will send you an invoice with the fee breakdown.
• Login to the MySkillsFuture portal, select the course you’re enrolling on and enter the course date and schedule.
• Enter the course fee payable by you (including GST) and enter the amount of credit to claim.
• Upload your invoice and click ‘Submit’

SkillsFuture Level-Up Program

The  SkillsFuture Level-Up Programme provides greater structural support for mid-career Singaporeans aged 40 years and above to pursue a substantive skills reboot and stay relevant in a changing economy. For more information, visit SkillsFuture Level-Up Programme

Get Additional Course Fee Support Up to $500 under UTAP

The Union Training Assistance Programme (UTAP) is a training benefit provided to NTUC Union Members with an objective of encouraging them to upgrade with skills training. It is provided to minimize the training cost. If you are a NTUC Union Member then you can get 50% funding (capped at $500 per year) under Union Training Assistance Programme (UTAP).

For more information visit NTUC U Portal – Union Training Assistance Program (UTAP)

Steps to Apply UTAP

• Log in to your U Portal account to submit your UTAP application upon completion of the course.

Note

• SSG subsidy is available for Singapore Citizens, Permanent Residents, and Corporates.
• All Singaporeans aged 25 and above can use their SkillsFuture Credit to pay. For more details, visit www.skillsfuture.gov.sg/credit
• An unfunded course fee can be claimed via SkillsFuture Credit or paid in cash.
• UTAP funding for NTUC Union Members is capped at $250 for 39 years and below and at $500 for 40 years and above.
• UTAP support amount will be paid to training provider first and claimed after end of class by learner.

Appeal Process

1. The candidate has the right to disagree with the assessment decision made by the assessor.
2. When giving feedback to the candidate, the assessor must check with the candidate if he agrees with the assessment outcome.
3. If the candidate agrees with the assessment outcome, the assessor & the candidate must sign the Assessment Summary Record.
4. If the candidate disagrees with the assessment outcome, he/she should not sign in the Assessment Summary Record.
5. If the candidate intends to appeal the decision, he/she should first discuss the matter with the assessor/assessment manager.
6. If the candidate is still not satisfied with the decision, the candidate must notify the assessor of the decision to appeal. The assessor will reflect the candidate’s intention in the Feedback Section of the Assessment Summary Record.
7. The assessor will notify the assessor manager about the candidate’s intention to lodge an appeal.
8. The candidate must lodge the appeal within 7 days, giving reasons for appeal 
9. The assessor can help the candidate with writing and lodging the appeal.
10. he assessment manager will collect information from the candidate & assessor and give a final decision.
11. A record of the appeal and any subsequent actions and findings will be made.
12. An Assessment Appeal Panel will be formed to review and give a decision.
13. The outcome of the appeal will be made known to the candidate within 2 weeks from the date the appeal was lodged.
14. The decision of the Assessment Appeal Panel is final and no further appeal will be entertained.
15. Please click the link below to fill up the Candidates Appeal Form.

• Data Scientist
• Machine Learning Engineer
• AI Researcher
• Deep Learning Specialist
• Computer Vision Engineer
• AI Product Developer
• Graphics Software Developer
• Multimedia Artist (using AI)
• Bioinformatics Researcher (for GAN-based simulations)
• Financial Modeler (using AI for simulations)
• R&D Specialist in AI
• Robotics Engineer (with AI modeling)
• Game Developer (using GANs for content generation)
• Innovation Manager (in tech firms)
• Computational Scientist

Quah Chee Yong: Quah Chee Yong is a ACTA certified trainer. Quah Chee Yong Chee Yong is an experienced professional who has held various Technical, Operations and Commercial positions across several industriesA firm believer that AI can create a better world, he has equipped himself with the Knowledge and Skills in the fields of Data Science, Machine Learning, Deep Learning and Cloud Deployment

He has a deep passion for training & facilitating and is currently a Singapore WSQ certified Adult Educator. He particularly enjoys the interactive engagements with his fellow trainers and learners

Solomon Soh Zhe Hong: Solomon is ACTA certified and has trained and coached over 100 professionals in the area of data science, python programming and coding. Solomon is a Certified AI Engineer Associate by AI Singapore and holds certifications in Alibaba Cloud Architect and Alteryx respectively. Solomon interests include Reinforcement Learning, Natural Language Processing and Time-Series analysis.

Tan Woei Ming: Tan Woei Ming is ACLP certified trainer. He  graduated from Nanyang Technological University, School of Electrical and Electronic Engineering, He has a MASTER OF INTELLIGENT SYSTEM from NUS. He has worked as DATA SCIENCE LEAD and DATA SCIENTIST in Micron Technologies.