In this module, participants will be introduced to the world of Generative Adversarial Networks, laying the foundation for understanding GAN architecture and functionality.

Lessons:

• Overview of Generative Adversarial Networks.
• Understanding the significance of GANs in AI.

Lab:

• Hands-on session: Exploring the basics of GANs.
• Interactive exercises: Working with basic GAN models.

After completing this module, students will be able to:

• Understand the basic concepts of GANs.
• Gain insights into the architecture and functionality of GANs.

This module will delve into the architecture of GANs, offering participants a comprehensive understanding of their structure and components.

Lessons:

• Deep dive into GAN architecture.
• Exploring Generator and Discriminator.

Lab:

• Hands-on workshop: Working with GAN architecture.
• Interactive exercises: Experimenting with Generator and Discriminator.

After completing this module, students will be able to:

• Understand the architecture of GANs.
• Gain hands-on experience with GAN architecture.

In this module, participants will explore various applications of GANs, understanding their practical utility in diverse fields.

Lessons:

• Exploring various applications of GANs.
• Hands-on session: Working with GANs for image generation.

Lab:

• Hands-on session: Exploring GAN applications.
• Interactive exercises: Working with GANs in practical scenarios.

After completing this module, students will be able to:

• Understand the various applications of GANs.
• Gain practical experience in using GANs for different applications.

In this module, participants will delve into the use of GANs for generating images, one of the most popular applications of GANs.

Lessons:

• Introduction to Image Generation with GANs.
• Exploring different GAN models for image generation.

Lab:

• Hands-on session: Generating images using GANs.
• Interactive exercises: Experimenting with various GAN models for image generation.

After completing this module, students will be able to:

• Understand the application of GANs in image generation.
• Gain practical experience in generating images using GANs.

This module will explore how GANs can be used for data augmentation, enhancing machine learning models by providing additional training data.

Lessons:

• Overview of Data Augmentation.
• Using GANs for Data Augmentation.

Lab:

• Hands-on workshop: Working with GANs for data augmentation.
• Interactive exercises: Experimenting with GANs to augment data.

After completing this module, students will be able to:

• Understand the concept of data augmentation with GANs.
• Gain hands-on experience with data augmentation using GANs.

In this module, participants will learn about advanced GAN models and their applications.

Lessons:

• Exploring advanced GAN models.
• Understanding the applications of advanced GAN models.

Lab:

• Hands-on session: Working with advanced GAN models.
• Interactive exercises: Experimenting with advanced GAN models and their applications.

After completing this module, students will be able to:

• Understand advanced GAN models.
• Gain practical experience in working with advanced GAN models.

This module will focus on the use of GANs for generating text, exploring the challenges and solutions in text generation with GANs.

Lessons:

• Introduction to Text Generation with GANs.
• Challenges and solutions in text generation with GANs.

Lab:

• Hands-on workshop: Generating text using GANs.
• Interactive exercises: Overcoming challenges in text generation with GANs.

After completing this module, students will be able to:

• Understand the application of GANs in text generation.
• Gain practical experience in generating text using GANs.

In this module, participants will explore the application of GANs in audio generation.

Lessons:

• Introduction to Audio Generation with GANs.
• Exploring different GAN models for audio generation.

Lab:

• Hands-on session: Generating audio using GANs.
• Interactive exercises: Experimenting with various GAN models for audio generation.

After completing this module, students will be able to:

• Understand the application of GANs in audio generation.
• Gain practical experience in generating audio using GANs.

This module will focus on the use of GANs for generating videos.

Lessons:

• Introduction to Video Generation with GANs.
• Exploring different GAN models for video generation.

Lab:

• Hands-on workshop: Generating videos using GANs.
• Interactive exercises: Experimenting with various GAN models for video generation.

After completing this module, students will be able to:

• Understand the application of GANs in video generation.
• Gain practical experience in generating videos using GANs.

In the final module, participants will review the key learnings from the course and explore the future possibilities of GANs.

Lessons:

• Review of key learnings from the course.
• Exploring future possibilities and advancements in GANs.
• Discussion on the potential challenges and solutions in the future of GANs.

Lab:

• Interactive session: Discussing future possibilities and challenges of GANs.
• Group activity: Brainstorming future advancements and applications of GANs.

After completing this module, students will be able to:

• Summarize the key learnings from the course.
• Understand the future possibilities and challenges of GANs.
• Engage in discussions and brainstorming about the future of GANs.