I'm keen to hear from everyone out there that are part of the AI scene in India, as a whole overall, because India's AI scene is booming right now. The recent release of the new IIM Bodh Gaya AI education initiative is a huge step forward for many people in AI! This initiative will provide the tools & resources needed to create professionals who will help drive India's digital transformation by developing effective and innovative AI education and training programs.
Now, Let Us Talk About Why This Initiative is Timely!
The demand for AI talent in the tech sector in India is growing at an exponential level each day! At this rate, we will have roughly 40 million by 2027! Therefore, The need for skilled professionals who can deliver intelligent machine-learning capabilities and products are way below that! IIM Bodh Gaya will fix this shortage of qualified professionals through a combination of business knowledge and AI skill sets. The new initiative will bridge the gap between theory and practical applications, by training professionals with an emphasis on job-ready skill sets.
What Are The Key Features.
Industry Collaboration – Partnerships with companies such as TCS, Infosys, and many start-ups, will provide students with access to internships, live-project experiences, and mentoring opportunities; thus giving the students the opportunity to work on actual projects within their industry working to solve real problems.
Specialized Programs – The initiative includes a variety of new programs that specifically focus on Machine Learning, Generative AI, AI Ethics, and AI Business Integration. As part of the specialized programs, each student will receive global certification from one or more international credentialing authorities (for example, Google Cloud, or AWS) and can take advantage of some optional shorter-term bootcamp programs while they are either seeking employment or continuing their working careers.
Focus on Research and Development – IIM Bodh Gaya has created several specialized laboratories to conduct state-of-the-art R&D in AI applications specifically focused in health care, agriculture, and environmental sustainability.