FAST READ
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- NIELIT and Intel India launched new Agentic AI skilling programmes in **New Delhi.
- Two tracks**: Agentic AI for Everyone and Engineering Agentic AI Systems.
- Agentic AI refers to systems capable of reasoning, planning and executing multi-step tasks with varying autonomy.
- The initiative combines government, academia and industry.
- The key policy challenge is to build AI skills while ensuring human oversight, security and accountability.
WHY IN NEWS
- The programmes were launched alongside a National Leadership Dialogue at India Habitat Centre.
- The initiative responds to the shift from AI tools that merely generate outputs toward systems that can plan and act.
- Workforce preparation is becoming important as agentic systems enter software, business and public-service workflows.
TOP DATA & FACTS
- NIELIT is an autonomous scientific society under MeitY.
- NIELIT was formerly known as DOEACC **Society.
- Programme 1**: Agentic AI for **Everyone.
- Programme 2**: Engineering Agentic AI Systems.
- The first introduces AI agents and automation through no-code approaches.
- The engineering track covers low-code and code-based system design.
- Agentic systems can decompose goals into tasks and invoke tools.
- Autonomy increases both productivity potential and operational risk.
- Human-in-the-loop controls can limit high-impact actions.
- Evaluation should test reliability, security and task completion—not only fluent language.
HISTORICAL PERSPECTIVE
- Computer-skills programmes evolved from basic IT literacy to cloud, data science and AI.
- India's software-services sector created a large digital workforce.
- Generative AI rapidly changed knowledge-work tools after the early 2020s.