Who Should Attend?

This course is designed for intermediate students and professionals interested in the rapidly evolving field of AI, who seek a comprehensive understanding of generative AI. Participants should have fluency in Python programming, basic knowledge of machine learning concepts, and a fundamental understanding of probability and statistics.

Course Structure

The course is structured as weekend classes (Saturdays), totaling 80 hours of instruction, with 10 contact classes. Classes will be held at AU-KBC Research Centre for Emerging Technologies, MIT campus of Anna University, Chrompet, Chennai.

Course Fees

The course fee is Rs. 1,00,000/- inclusive of taxes. This fee covers lectures, hands-on training, course materials, and complimentary lunch.

Course Summary

Provides a comprehensive introduction to generative AI, covering fundamental concepts, diverse generative models, and hands-on experience in developing and applying these models to real-world problems.

More detailed course syllabus can be viewed Here

Topics Covered

• Mathematical Foundations for Machine Learning
• Machine Learning Fundamentals
• Deep Learning Basics
• Introduction to Generative AI
• Multi-modal Modeling
• Other Generative Models & Advanced Topics

Hands-on Training:

• Implement and train generative models using popular frameworks (e.g., TensorFlow, PyTorch)
• Apply generative AI techniques to solve problems in different domains (e.g., image generation, text generation, music composition)
• Evaluate the performance of generative models and understand their limitations

Upon successful completion of this course, students will be able to:

• Understand the fundamental concepts and principles of generative AI.
• Grasp core machine learning concepts relevant to generative modeling.
• Explain the differences between various generative models (GANs, VAEs, diffusion models, etc.).
• Implement and train generative models using popular frameworks (e.g., TensorFlow, PyTorch).
• Apply generative AI techniques to solve problems in different domains (e.g., image generation, text generation, speech/music generation)
• Evaluate the performance of generative models and understand their limitations.
• Discuss the ethical implications and societal impact of generative AI.

Certificate

Trainees will receive a certificate from Anna University upon completion of the course. There will be evaluation at the end of the course.

Registration Details

Please register by filling the form, whose link is given below:
Registration Form.

Payment Details

Payment is to be made through Demand Draft (DD) or Online Bank Transfer.

For payment through Demand Draft (DD):

DD should be taken in the favour of "The Director, Centre for Sponsored Research and Consultancy, Anna University, Chennai. ", payable at Chennai.

For payment through Online Bank transfer (NEFT/RTGS):

Bank account details for NEFT/RTGS transfer are given below:

Account Name: DIRECTOR, CSRC

Account Number: 37614464781

Account Type: Savings Account

IFSC Code: SBIN0006463

Bank Name: State Bank of India

Address: A.U. College Campus, Sardar Patel Road, Guindy, Chennai - 600 025

Branch Code: 006463

MICR Code of Bank: 600002039

Pls Note: No other mode of payment is accepted by the University.