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India’s talent crunch in artificial intelligence and machine learning has left over 4,000 mid and senior-level job positions vacant in the artificial intelligence (AI) sector, our study noted. Another key constraint is that around 57% of firms hiring for AI roles are looking for candidates with over five years of experience, while the average AI experience of Indian professionals is around three years. Even though the AI industry has grown by almost 30 per cent in the last one year to $230 million, yet close to 4,000 positions in India remain vacant due to a shortage of qualified talent at the mid and senior level, our study noted.
A clear demand-supply gap exists at mid and senior levels across domains like finance, IT, healthcare and e-commerce side. However, despite the talent gap, there is a huge demand for learning programmes that can help one transition to the field of AI and ML. There is a clear demand from professionals and employers alike for in-depth training that prepares them for a career in this buzzing field.
Today, the market is flooded with a bunch of short-term beginner courses that can get the developer community started with machine learning with TensorFlow and other deep learning frameworks. Even though the newer set of tools and frameworks are designed to be more accessible to the developer community, there is no structured programme with guided support and a peer community to help one gain these in-demand skills and apply it to real-life business problems.
Given the current talent gap in the industry and companies rethinking their people strategies, Ronnie Screwvala co-founded upGrad, a leading provider of AI, machine learning and advanced analytics programmes has launched a PG Diploma in Machine Learning & AI delivered in conjunction with IIIT-Bangalore. The 11-month programme applies the same academic rigour of a full-time University level course and is now considered the gold standard for machine learning and AI. Designed for working professionals -- software engineers and IT professionals, the programme covers a gamut of in-demand competencies required in the industry today. Delivered in the online format, the program provides a foundation in Deep Learning, Reinforcement Learning, NLP and graphical models along with a solid foundation in Predictive Analytics and Statistics.


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