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Basic Generative Adversarial Network (GAN) Training

Course Information

  • Sessions 1 day
  • Duration 7.5 hrs
  • Level Intermediate
  • Assessment NA

Venue

Kuala Lumpur: G-3A-02, Suite Pejabat Korporat, KL Gateway, No 2, Jalan kerinchi, Gerbang kernichi Lestari, 59200 Kuala Lumpur, Malaysia
Penang: Jalan Sungai Dua, 11700 Penang, Malaysia.

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Certification

  • Certificate of Completion from Tertiary Courses - Upon meeting at least 75% attendance and passing the assessment(s), participants will receive a Certificate of Completion from Tertiary Courses.

Basic Generative Adversarial Network (GAN) Training

Course Code: C1043
  • HRDF

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What's This Course About

Embark on a transformative journey into the foundational and advanced realms of Generative Adversarial Networks (GANs) with our meticulously curated training at Tertiary Courses. Starting with a robust understanding of the Basic GAN Framework, participants are gradually introduced to the intricacies and nuances of this groundbreaking AI technology.

Delving deeper, the training unravels the layers behind DCGAN, WGAN, and the highly intriguing Conditional GAN. These advanced modules ensure participants grasp the holistic view of GANs, empowering them with the expertise to develop sophisticated AI models. This course is the key to unlocking the immense potential and creativity that GANs offer in the realm of artificial intelligence.

WSQ Funding

Full Fee 1,050.00 Before GST
GST 94.50 9% of fee
Baseline Nett 619.50 SG/PR age 21+ · 50% funded
MCES / SME Nett 409.50 SG age 40+ · 70% funded
Funding and Grant Applications

No funding is available for this course

For WSQ funding, please checkout the details at NICF - Computational Modeling with Generative Adversarial Network (GAN)

Course Fee

MYR1,050.00

Additional Note

Please bring your own laptop for hands-on training. If you don't have laptop, we can provide spare laptop for training use.

Disclaimer: The course dates displayed on our website are tentative and subject to trainer availability. We will confirm the final date after checking with the trainer. You are also welcome to email us your preferred date at sales@tertiarycourses.com.my, and we will do our best to coordinate with the trainer's schedule.

Post-Course Support

  • We may provide consultation related to the subject matter after the course.
  • Please email your queries to sales@tertiarycourses.com.my and we will forward your queries to the subject matter experts and get back to you as soon as possible.

Cancellation & Reschedule Policy

  • We reserve the right to cancel or re-schedule the course due to unforeseen circumstances. If the course is cancelled, we will refund 100% to participants.
  • Note: the venue of the training is subject to changes due to class size and availability of the classroom. The minimum class size to start a class is 3 Pax.

Course Details

Course Details

What You'll Learn

Topic 1 Overview Generative Adversarial Network (GAN)

  • Introduction to GAN
  • GAN Framework

Topic 2 Key GAN Algorithms

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

Course Info

Promotion Code

Your will get 10% discount voucher for 2nd course onwards if you write us a Google review.

Minimum Entry Requirement

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: 18-65 years old

Minimum Software/Hardware Requirement

Software:

Hardware: Window or Mac Laptops

Job Roles

Job Roles

  • 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

Trainers

Trainers

Saeid is co-founder of Skymics Sdn Bhd. He has 8 years of experience in the field of IoT (Internet of Things) and Information Technology. He is a certified IBM IoT Practitioner and instructor, and a Certified Citizen Data Scientist Train-The-Trainer. He has been co-inventor of 3 inventions during the last 4 years.

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