IISC and Talentsprint Collaborate, Announces Post-Graduate Programme in Deep Learning
A post graduate level Advanced Certification Program in Deep Learning has been introduced by the Indian Institute of Science (IISc) and TalentSprint. The 10-month executive education programme is targeted at emerging and practicing professionals in artificial intelligence and machine learning who want to develop Deep Learning skills and learn voice, text, image and video applications, including hardware optimization.
A team of interdisciplinary faculty from IISc and TalentSprint will teach through live and interactive online classes and mentor them as they learn hands-on through curated industry capstones, including the option of bringing their own projects, according to a press release.
Deep Learning is penetrating various sectors at an unprecedented speed, including financial services, healthcare, software, retail, manufacturing, and more. It is being used in investment modelling, fraud detection, designing autonomous cars, virtual assistants, super-computing, Customer Relationship Management (CRM) systems, and facial recognition systems, among others.
“Deep learning is increasingly being used to extract valuable insights from enormous amounts of data, build innovative products and improve customer experience, thereby enhancing revenue opportunities. This has led to a massive growth in need for professionals with expertise in Deep Learning,” said Chiranjib Bhattacharya, Professor and Chair of the Department of Computer Science & Automation, and Dean of the Advanced Deep Learning Program. “This program will fulfill that need. Our team of research faculty will teach and mentor participants and help them build expertise in both the fundamentals and applications of deep learning,” he said.
Santanu Paul, Co-Founder and CEO, TalentSprint said: “At TalentSprint, our focus has always been to offer transformational high-end and deep-tech learning program. This program has been specifically designed for working professionals keen to unleash the potential of deep learning in their careers.”