AB– 731 – Drive AI transformation in your organization

What you'll learn

Gain the vocabulary and frameworks to lead high-level AI conversations and align technology with business goals.
Master the Buy, Build, or Extend framework to choose the right AI path based on cost, risk, and speed.
Learn to oversee a secure AI environment using the 6 Principles of Responsible AI and data grounding.
Understand the difference between Generative AI, LLMs, and SLMs to make informed technology choices for your team.
Learn the exact criteria for choosing between off-the-shelf tools, customized agents, or custom-built solutions.
Identify high-impact business scenarios in your department that are prime for AI-driven efficiency.
Master the six principles of ethical AI to ensure your implementation is fair, reliable, and compliant.
Navigate the financial side of AI, including licensing models and predictable vs. token-based cost drivers.
Learn a phased journey to move your organization from initial experimentation to a mature, value-driven AI model.

Requirements

Designed for managers and executives; no coding or technical background is required.
A basic understanding of your organization's workflows and standard Microsoft 365 tools.
A focus on how AI impacts operations rather than how the code works.
This course is built for those who manage people, budgets, or strategy, rather than those writing code.
A basic understanding of your company's current workflows and where your biggest "bottlenecks" exist.
You should be comfortable using Microsoft 365 (Teams, Word, Excel) to visualize how these tools integrate.
There are no prerequisites for coding, data science, or advanced mathematics.
A willingness to look at AI as a management challenge rather than just a software update.
You'll need time to think about how these frameworks apply specifically to your own industry or department.

Description

The "wait and see" era of Artificial Intelligence is officially over. For business leaders, the challenge is no longer just understanding what AI is, but deciding exactly how it fits into the corporate architecture. This course is your professional roadmap through that complexity. Designed specifically for non-technical executives and managers, we strip away the jargon and focus on the business logic behind the most significant technological shift of our time.
From Tools to Agents
While most of the world is focused on simple chat prompts, this course prepares you for the Agentic Future. You will learn to view AI not as a static piece of software, but as a proactive partner capable of reasoning and executing tasks. We provide the frameworks you need to identify high-impact automation opportunities and the "Buy, Build, or Extend" matrix to ensure your investment matches your organization's unique competitive goals.
The Architecture of Trust
A leader's primary responsibility in the AI age is governance. You will explore how to anchor AI outputs in your organization's authoritative data through Grounding and Retrieval-Augmented Generation (RAG). We move beyond theory to provide a "Trust-First" governance model, ensuring your AI initiatives are secure, compliant, and built on the six core principles of Responsibility.
Certification Ready, Boardroom Tested
Whether you are preparing for the Microsoft AB-731: AI for Business Leaders certification or simply looking to lead your department through a digital transformation, this course provides the scenario-based insights you need. By the end of this journey, you will possess the strategic literacy to move from a curious observer to an informed architect of your company's AI future.

Who this course is for

Leaders in Finance, HR, Sales, or Legal who need to manage AI initiatives effectively.
Decision-makers responsible for AI vision, budget, and organizational readiness.
Professionals looking for a clear, scenario-based path to pass the Microsoft certification.
Students who want a grounded, scenario-based study path to pass the Microsoft certification exam.
Professionals tasked with overseeing digital transformation projects and ensuring AI provides real ROI.
Those looking to drive social impact or operational efficiency through responsible AI use.
Advisors who need a structured framework to help their clients navigate the "Buy, Build, or Extend" decision.

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