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Generative AI

This course typically focuses to create AI systems that can produce creative and original content.

Advanced Level
Generative AI

What You'll Learn

  • What is Generative Modeling?
  • Discriminative vs Generative
  • Applications and Limitations

  • Synthetic Data Generation
  • Data Augmentation Strategies
  • Evaluation of Generated Data

  • Tokenization and Embeddings
  • Transformers and Attention
  • Prompting and Safety Considerations

  • Autoencoders and VAEs
  • GAN Architectures
  • Diffusion Models (intro)

  • Managed Model Services
  • GPU/Accelerator Basics
  • Cost and Scaling Considerations

  • Model Hosting on AWS
  • Data Pipelines on AWS
  • Monitoring and Security on AWS

What You'll Achieve

This course is designed to give you practical skills and knowledge that employers value

Understanding Generative Models
GANs and VAEs
Data Generation
Machine Learning and Deep Learning
Ethical and Responsible Use

Prerequisites

Strong programming background and machine learning fundamentals required.

Important Dates

Course Launch

Coming Soon

Application Window

TBA

Course Information

Duration: Coming Soon
Schedule: Coming Soon
Fee: TBA
Level: Advanced Level
Course Features
Expert Instructors
Learn from industry professionals with years of practical AI experience
Hands-on Projects
Work on real-world projects to build your portfolio and gain practical experience
Industry Recognition
Earn certificates recognized by leading Canadian tech companies and employers globally
Career Support
Get job placement assistance and career guidance throughout your journey