Generative AI, a transformative force that is no longer confined to the realms of a tech lab or a Silicon Valley startup, is here. It is reshaping industries at an unprecedented pace - in marketing, design, product development, and decision-making. The true power of these algorithms lies not just in their complexity, but in the hands of those who understand how to wield them, particularly in leadership and cultural contexts.

Being a manager, the decision to hire AI–related talent or to step into a role where AI planning is a necessity can be a game-changer. The difference between mediocrity and groundbreaking innovation lies in the understanding of the right interview questions. By investing in a generative AI course for managers, you not only gain technical literacy but also a strategic perspective that can propel you to the forefront of this evolving landscape.

Why Managers Can't Afford to Ignore AI

Once upon a time, AI was a specialist's domain, something you could “leave to the tech team.” Not anymore. Today, executives and team leads are expected to understand not just what AI can do, but also where it fits into the organisation's bigger picture.

A well-crafted Gen AI course for managers enables leaders to achieve their goals without succumbing to code. It also defuzzifies notions such as large language models and the generative framework. It equips you with the tools to recognize the opportunities, evaluate the risks, and make more data‑driven decisions. Most importantly, it also addresses the issue that any modern leader must face: the ethical and compliance-related aspects of adopting AI. A lack of such awareness can make even the most progressive projects backfire.

Moving Beyond the Resume: Smarter AI Interview Questions

So, what do you ask in an interview when the role involves generative AI skills? The most revealing questions combine technical curiosity with business insight.

Instead of merely asking a candidate to explain how skillful they are, ask them about how they think. Ask them how to define generative models in non-technical terms, something that even a high-level executive might get. Find out how they coped with their past projects, not in the outcomes but in the process of achieving the outcomes, what problems they faced, and how they proceeded to overcome them.

Assessment also ought not to be restricted to code or models. A perceptive interviewer may wish to know how a candidate decides whether an AI-generated output is good or bad, or whether they would retrain a large pre-trained model to suit a highly specific end-use scenario in the company. And at a time when deepfakes and misinformation are a very real issue, the moral dilemma is not up for negotiation: How do they make sure that their work is fair, safe, and transparent?

Where Agentic AI Fits Into the Picture

Generative AI may be dazzling in its creativity, but there's another emerging branch that managers should have on their radar — agentic AI. While generative AI is about producing content, agentic AI is about taking autonomous, goal‑oriented action. Think of it as moving from “What can we make?” to “What can the system decide and do on its own?”

A focused agentic AI course walks you through the frameworks that make this possible. These agentic AI frameworks, such as LangChain or AutoGen, enable the creation of intelligent agents that can navigate tasks independently while still aligning with business goals. For a manager, understanding how to leverage these systems — and how to keep them safe and reliable — is going to be an increasingly valuable skill over the next few years.

Bringing It Together: The Role of AI Training Programs

The pace of change in AI is relentless. Without structured learning, it's too easy to be left behind. That’s where generative AI training programs prove their worth. They don’t just add theoretical knowledge; they give you the practical skills to lead projects, communicate with technical teams, and identify the right moments to deploy AI solutions.

When you combine this with an understanding of agentic AI, you’re no longer reacting to technological shifts — you’re steering them. You can spot where automation will save resources, where creative AI will unlock new ideas, and where careful oversight will protect your brand and customers.

The Bottom Line for Leaders

To managers across both sides of the interviewing table, AI competence is becoming an essential leadership requirement. Getting a working familiarity with both generative AI and agentic AI, finding answers to the questions that reveal true expertise, and building on those by taking special courses, you will be placing yourself, or your team, at the cutting edge of this transition.n‌‌ Helpful: How do they create fairness, safety, and transparency in their work?

AI will keep evolving. Those who keep learning will keep leading. And when the next big opportunity arrives, you’ll be ready — not just to understand it, but to make it work for your people, your business, and your vision.