India's Most Futuristic AI Conference Is Back – Bigger, Sharper, Bolder
AI has evolved far beyond basic LLMs that rely on carefully crafted prompts. We are now entering the era of autonomous systems that can plan, decide, and act with minimal human input. This shift has given rise to Agentic AI: systems designed to pursue goals, adapt to changing conditions, and execute complex tasks on their own. As organizations race to adopt these capabilities, understanding Agentic AI is becoming a key skill.
To assist you in this race, here are 30 interview questions to test and strengthen your knowledge in this rapidly growing field. The questions range from fundamentals to more nuanced concepts to help you get a good grasp of the depth of the domain.
A. Agentic AI refers to systems that demonstrate autonomy. Unlike traditional AI (like a classifier or a basic chatbot) which follows a strict input-output pipeline, an AI Agent operates in a loop: it perceives the environment, reasons about what to do, acts, and then observes the result of that action.
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