Agentic AI Skilling Program

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News: Agentic AI Skilling Program has been launched by Ministry of Electronics and Information Technology (MeitY), in collaboration with Intel India during National Leadership Dialogue.

About Agentic AI Skilling Program

Agentic AI Skilling Program
Source: PIB
  • Launched by: It has been launched by National Institute of Electronics and Information Technology (NIELIT), Ministry of Electronics and Information Technology (MeitY), in collaboration with Intel India.
  • Aim: It aimed at expanding access to industry-aligned Agentic AI learning opportunities and contributing to the development of a future-ready AI talent ecosystem in the country.
  • Components: The initiative includes two programs – Agentic AI for Everyone and Engineering Agentic AI Systems.
    • Agentic AI for Everyone: This course focuses on AI agents, workflow automation, and multi-agent systems.
      • It also helps learners understand how to improve productivity, business efficiency, and decision-making using AI and more.
      • The program will offer “hands-on exposure to designing and governing AI-powered workflows and agentic systems using no-code platforms.”
    • Engineering Agentic AI Systems: This programm is provides in-depth knowledge for people who want to design, build, and deploy.
      • Learners will get hands-on training in no-code/low-code tools and code-based frameworks, which will help them develop more advanced and customised AI agents using programming.
  • It also covers the full lifecycle of an AI agent, including agent architecture, tool integration, orchestration, memory, and deployment.

About Agentic AI

Agentic AI
Source: MDPI
  • Agentic AI is an advanced form of artificial intelligence focused on autonomous decision-making and action.
  • Unlike traditional AI, which primarily responds to commands or analyzes data, agentic AI can set goals, plan, and execute tasks with minimal human intervention.
  • Agentic AI systems are designed to operate with a higher degree of autonomy.
  • It works by using AI agents, which are essentially autonomous entities designed to perform specific tasks.
  • At its core, this technology is built on several key components:
    • Perception: Agentic AI starts by gathering information from its surroundings and different sources, such as sensors, databases, and user interfaces.
      • This could involve analyzing text, images, or other forms of data to understand the situation.
    • Reasoning: Using a large language model (LLM), agentic AI analyzes the gathered data to understand the context, identify relevant information, and formulate potential solutions.
      • For example, if the goal is to schedule a appointment, the LLM can parse the text of emails to identify attendees, available times, and the appointment’s purpose.
    • Planning: The AI then uses the information it gathered to develop a plan.
      • This involves setting goals, breaking them down into smaller steps, and figuring out the best way to achieve them.
    • Action: Based on its plan, the AI takes action. This could involve performing tasks, making decisions, or interacting with other systems.
    • Reflection: After taking action, the AI learns from the results. It evaluates whether its actions were successful and uses this feedback to adjust its plans and actions in the future.
      • This continuous cycle of perception, planning, action, and reflection allows agentic AI to learn and improve over time.
  • Read more about AI Agent.
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