Simplilearn and IIT-Madras jointly launch the AI program.

In order to be considered for this new program at IIT Madras, applicants must have a bachelor’s degree with a minimum average of 50%.

The Advanced Executive program in Applied Generative AI was introduced on September 26 by the Indian Institute of Technology, Madras (IIT Madras), which is the technology innovation hub. The new program was introduced in association with digital skills online bootcamp provider Simplilearn.

The program offers masterclasses by faculty and/or alumni from prestigious universities like IIT Madras and other IITs, as well as over 70 hours of live online classes taught by professionals in the industry. Through more than sixty exercises and seven projects related to the industry, learners will gain practical experience in areas such as AI application development and DALL-E logo design. Moreover, they will utilize state-of-the-art resources like Hugging Face, DALL·E 2, ChatGPT, OpenAI, Azure AI Studio, and Microsoft Copilot.

In addition, enrolled students will receive support for startup incubation, a two-day campus immersion at IIT Madras Research Park, and access to Simplilearn’s Job Assist for networking with employers. Students who successfully complete the program will receive a certificate from IIT Madras (IITM) Pravartak in addition to badges or certificates for each Microsoft course they have completed.

Candidates must possess a bachelor’s degree with an average of 50% or higher, a foundational understanding of mathematics and programming, and ideally more than two years of professional work experience in order to be eligible for this program.

This program has been developed with the understanding that generative AI is a rapidly developing field that is predicted to reach $667.9 billion by 2030, representing a growth rate of 24.4% annually. This program will provide an in-depth understanding of generative AI tools and concepts, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), prompt engineering, and Large Language Model (LLM) application development, as industries from entertainment to finance increasingly integrate these technologies.