NINETY-TWO PERCENT OF COMPANIES PLAN TO INCREASE THEIR AI INVESTMENTS OVER THE NEXT THREE YEARS: according to McKinsey & Company. Yet only 1% of leaders describe their organisations as “mature” on the AI deployment spectrum, where AI is fully integrated into workflows and delivers substantial business outcomes. Separately, Gartner forecasts that by 2028, 33% of enterprise software applications will include Agentic AI, up from less than 1% in 2024.
These two data points describe the same moment from different perspectives. Organisations are accelerating AI investment, while enterprise software is rapidly moving towards agentic capabilities. At the same time, very few leaders believe their own AI deployments have reached production maturity. The challenge is no longer building another prototype. It is engineering systems that remain reliable, evaluated, secure and observable once they move into production.
This is the engineering gap that the iHUB DivyaSampark, IIT Roorkee Post Graduate Certificate in Agentic and RAG Systems for AI Engineering is designed to address. Rather than positioning AI as a collection of tools or experimentation techniques, the six-month live online programme focuses on the engineering discipline required to build, evaluate, secure and operate Retrieval-Augmented Generation (RAG) and Agentic AI systems in production environments. It is intended for technology professionals with intermediate programming familiarity who already build software, manage codebases or lead technology teams, and now need deeper engineering capabilities as enterprises move beyond proof-of-concept AI.
Source: PTI News
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