Generative AI

Unlock the power of Generative AI with this in-depth course. Learn to create models that generate new data, from text and images to music and more. Dive into cutting-edge techniques like Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), and explore practical applications of generative models.

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Tamil

Last updated

Sat, 07-Dec-2024

Course description

This course offers a thorough exploration of Generative AI, focusing on advanced models that create new content. Study GANs, VAEs, and other generative techniques. Gain hands-on experience with real-world projects to understand the applications and potential of generative AI.

What will i learn?

Master core Generative AI concepts and techniques
Build and implement Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs)
Apply generative models to real-world problems, including data generation and creative content creation
Gain practical experience through hands-on projects and case studies

Requirements

Basic knowledge of Python programming
Understanding of machine learning concepts
Familiarity with neural networks and deep learning is beneficial

Frequently asked question

Generative AI refers to models and algorithms that can create new data samples similar to existing data, such as generating images, text, or music.

Some basic understanding of AI and machine learning will be helpful, but the course covers fundamental concepts of Generative AI from the ground up.

You will learn about key generative models like GANs and VAEs, their architectures, and applications in creating synthetic data and creative content.

Generative AI can be used for applications such as image synthesis, text generation, art and music creation, and data augmentation.

Yes, the course includes hands-on projects where you will build and train generative models using popular frameworks.

This course is open to everyone. People from many departments like Computer Science, IT, Electronics, and even non-technical areas have taken it and found it helpful.

Yes, it is! This course is great for freshers and students who want to learn the basics and grow their skills for future jobs.

Yes, this course is a good fit for professionals who want to improve their skills or switch to a new field.

Yes, people with a career gap can take this course. It helps them update their knowledge and return to work confidently.

Yes, internships are optional but are available for top performers. It’s a great extra option for learning and gaining real-world experience.

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Free

Lectures

3

Skill level

Intermediate

Expiry period

Lifetime

Certificate

Yes

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