The Indian Institute of Science (IISc) and TalentSprint have launched a PG level advanced certification program in deep-learning. This 10-month executive education program is best suited for aspiring and practicing AI (artificial intelligence) and ML (machine learning) professionals who want to build expertise in deep-learning and master applications in speech, text, image and video including hardware optimization.
A team of 10-plus interdisciplinary faculty from IISc and TalentSprint would teach participants 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. The program will enable participants to establish a portfolio that demonstrates their learnings. Enrolments for the first cohort are open now and classes will commence in March 2021.
“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. 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”, said Prof Chiranjib Bhattacharya, Professor & Chair of the Department of Computer Science & Automation, and Dean of the Advanced Deep-Learning Program,.
Dr. Santanu Paul, Co-Founder & CEO, TalentSprint, viewed, “At TalentSprint, our focus has always been to offer transformational high-end and deep-tech learning programs. We’re happy to announce our third program with IISc, India’s leading institution, in deep-learning. This program has been specifically designed for working professionals keen to unleash the potential of deep-learning in their careers. This pracademic program will bring together lectures by top research faculty at IISc and hands-on labs and projects supported by industry mentors”.
According to a report by Grand View Research, the global deep-learning market is expected to reach USD 10.2 billion by 2025. Improvements in algorithms and advancements in deep-learning chipsets are driving this growth. Deep-learning is penetrating various sectors at an unprecedented speed, including financial services, healthcare, software, retail, manufacturing, etc. It is being used in investment modeling, fraud detection, designing autonomous cars, virtual assistants, super-computing, customer relationship management (CRM) systems, facial recognition systems, among others. Deep-learning will continue to make an impact in both professional and personal spaces and create several job opportunities.