Generative AI Techniques

Online Course | 40 hour | Certificate Included
Delve into the fascinating world of GANs and Variational Autoencoders, unlocking the power of creating new data.
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40 hours

About Course

 Delve into the fascinating world of GANs and Variational Autoencoders, unlocking the power of creating new data.                                                                                                                            The “Generative AI Techniques” course by IFACET IITK is a comprehensive 40-hour program conducted over two months. It targets individuals with a basic understanding of programming and machine learning, focusing on generative AI techniques and their applications. The curriculum includes topics like Variational Autoencoders, Generative Adversarial Networks, sequence generation with RNNs, and reinforcement learning for generative tasks. Participants will work on hands-on projects and case studies, receiving a certificate upon completion. It’s ideal for data scientists, AI engineers, and researchers interested in specializing in generative AI.

Overview of course – 

  • Start Date : 15th Jan 2023
  • Course Type: Comprehensive 40-hour program
  • Duration: 40 hours 
  • Total Lectures: 20
  • Skill Level: Intermediate
  • Assessments: Assignments & Projects 
  • Certificate: Yes 

For Self-Paced Programs: 2 Doubt Session(s)/Master Classes

Faculty Members – 

  • S. Aggarwal
  • Nandan Mishra
  • Niraj T.
  • Shantam D.
  • U. Tiwari
  • S. Garg

Delivery Mode & Duration – 

  • Online Live Mode- 2 Months (40 Hours Online Live sessions + 60 Hours of Assignment and Hands on)

 

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What Will You Learn?

  • Comprehensive understanding of generative AI techniques and their applications.
  • Proficiency in designing and implementing generative AI models for various tasks.
  • Practical experience through real-world projects and case studies.
  • Application of generative AI techniques to real-world problems.
  • Insight into reinforcement learning for generative tasks.
  • Awareness and consideration of ethical challenges in generative AI.

Requirements

  • Solid understanding of basic programming and machine learning concepts.
  • Recommended prior knowledge in AI technologies.
  • Suitable for data scientists, AI engineers, researchers, and professionals looking to specialize in generative AI.
  • Familiarity with mathematics is beneficial but not mandatory.

Audience

  • Ideal for individuals with a solid understanding of basic programming and machine learning concepts.
  • Suitable for data scientists, AI engineers, researchers, and professionals who want to specialize in generative AI.
  • Also beneficial for those interested in exploring advanced applications and cutting-edge trends in generative AI.

Course Content

Introduction to Generative AI

  • Overview of generative AI and its applications

Instructors

I

ikigaischool

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22 Students
15 Courses

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  1. 2 years ago
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