New Delhi, Apr 29: India’s artificial intelligence (AI) talent pool is projected to reach 1.25 million by 2027, yet demand is expected to significantly outpace supply. At the same time, salaries for senior and lead data science roles are consistently exceeding ₹40 LPA, particularly across multinational corporations and consulting firms underscoring both strong market demand and a widening talent gap.
This gap reflects a growing need for professionals who can move beyond technical knowledge to effectively build, interpret, and apply AI solutions in real-world business contexts.
Addressing this demand, Indian Institute of Technology Delhi’s Continuing Education Programme (CEP) has announced the opening of enrolments for Batch 12 of its Certificate Programme in Data Science, AI & Machine Learning (formerly known as the Certificate Programme in Data Science and Machine Learning), reaffirming the programme’s continued relevance in today’s evolving technology landscape.
The updated curriculum reflects current industry needs, incorporating advanced topics such as Generative AI, Large Language Models (LLMs), Agentic AI, and Retrieval-Augmented Generation (RAG)—skills that are rapidly becoming essential rather than niche.
Upon completion, participants will be able to:
- Build predictive models using neural networks and time-series forecasting
- Gain hands-on experience with machine learning algorithms and statistical modelling
- Develop a strong foundation in regression, clustering, decision trees, and deep learning
- Apply optimisation techniques to build high-performance, accurate models
Backed by IIT Delhi’s academic excellence—ranked #2 in Engineering in NIRF 2025 and a learner satisfaction score of 4.45/5, the programme positions itself as both credible and industry-aligned in a competitive skilling ecosystem.
Commenting on the initiative, Prof. Hariprasad Kodamana of IIT Delhi said,
“We are at a point where understanding AI is no longer enough. Professionals need to build the capability to apply these technologies in dynamic business environments. Structured learning plays a critical role in bridging this gap.”
As the AI landscape continues to evolve, industry experts believe that the next phase of career growth will depend not just on access to tools, but on the ability to apply them effectively to deliver business value. In a market crowded with fragmented learning options, programmes that combine academic rigour with practical application are emerging as key enablers for future-ready talent.
