Generative AI - Master Class
Training on the concepts of Advanced Generative AI with hands-on practicals
What you will learn and the outcome
- Insightful and conceptual live training on the advanced concepts of Generative AI
- Hands on session for end to end machine learning for Generative AI
- Access to the course material
- Access to online platform for AI/ML operations
- Certificate of achievement
Delivery mode
- You can choose to join either on-site training in Adelaide, or join online from anywhere virtually
- 2 hours x 3 sessions
Best suited for
- Professionals (Engineering, Healthcare, Education, Industrial, Government, etc) who is looking forward develop Generative AI solutions.
- Business executives (C-level, directors, management) who would like to have advanced understanding of Generative AI.
- University students
- School leavers
- High school students
- Any enthusiasts
Pre-requisite
- Basic understanding of Artificial Intelligence and Machine Learning
- Coding with Python
Your trainer
Dr. Kalana Withanage has Ph.D in Computer Vision / Machine Learning BSc. (Hons) in Electrical and Information Engineering 16+ years industrial experience in architecting and developing solutions with machine learning, computer vision, robotics, and embedded systems. He is an inspiring trainer and international community educational event speaker.
Course content
Session 1
Machine Learning Overview
Generative AI Overview and applications
GenAI key tasks: Image Synthesis, Content generation, Music synthesis, drug discovery, scientific discovery
Machine Learning for Generative AI
Variational Auto Encoders (VAEs)
Generative Adverserial Network (GANs)
Generator vs Discriminator
Hands on session for generating images using GANs
Overcoming challenges in GANs
Session 2
Advanced Types of GANs
DCGAN
CycleGAN
StyleGAN
ConditionalGANs
Transformers
Generative Pre-trained Transformers
Hands-on session for generating text contents using GPTs
Session 3
Multi modal Generative Models
MusicGANs
Hands-on session for music synthesis using MusicGANs
Diffusion models
Hands on session for text-to-image generation using diffusion models
Pre-training and fine tuning generative tasks