Omdena Academy Courses

Advanced Image Generation with Generative AI

December 29, 2023

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For whom is this course?

The course is an in-depth exploration of generative artificial intelligence (AI) with a primary focus on image generation. Participants will learn how to create realistic and compelling images using cutting-edge generative AI techniques. The course combines theoretical knowledge with hands-on exercises to provide learners with the necessary skills to implement state-of-the-art image generation models and evaluate the quality of generated images.

What will you learn?

In this course, participants will learn how to create realistic and captivating images using cutting-edge generative AI techniques, including Variational Autoencoders (VAEs) and Generative Adversarial Networks (GANs). They will gain hands-on experience in implementing state-of-the-art image generation models, evaluating image quality, and exploring real-world applications of generative AI in diverse industries.


  • Proficiency in Python Programming language
  • Fundamentals of Machine Learning
  • Deep Learning Basics
  • Image Processing Knowledge


Introduction to Generative AI and Image Generation

  • Overview of Generative AI and its applications in image generation
  • Mathematical and statistical foundations of generative models
  • Exploring the image generation process using generative models

Generative Models for Image Generation

  • Understanding Variational Autoencoders (VAEs) and their architecture
  • Delving into Generative Adversarial Networks (GANs) and their variants
  • Comparative analysis of different generative models for image synthesis

Implementing Image Generation Techniques

  • Setting up the development environment for generative AI
  • Implementing VAEs and GANs using popular deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Hands-on exercises: Training and fine-tuning generative models on various datasets

Enhancing Image Realism with Advanced Techniques

  • Conditional generation for controlled attribute manipulation
  • Style transfer and image synthesis for creative expression
  • Case studies: Applying advanced techniques to real-world image generation tasks

 Evaluating Image Quality and Performance

  • Quantitative and qualitative evaluation metrics for generated images
  • Understanding trade-offs between image quality and model complexity
  • Hands-on evaluation exercises: Assessing the fidelity of generative models

Ethical Considerations in Image Generation

  • Discussing ethical implications of generative AI in image synthesis
  • Addressing bias and fairness concerns in generated images
  • Responsible AI usage and its societal impacts

Real-World Applications of Generative AI

  • Data augmentation and its role in improving image datasets
  • Content creation and art generation using generative models
  • Showcasing innovative applications of generative AI in different industries


Course Info

Duration21 hours
Start DateDecember 16, 2023
Last Registration DateDecember 14, 2023
No of Students100
Skill Levelintermediate

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