It is aimed at those who manage companies, SMEs, or workgroups, allowing them to grasp basic concepts and achieve the application of artificial intelligence in complex processes.

Artificial intelligence is becoming a valuable tool for business managers or team leaders: if you are in charge, you must understand the technology that some members of your team will likely handle, simplifying organization.

Microsoft provides free courses that can be taken anytime, anywhere, specifically tailored for entrepreneurs and leaders. Initially, they offer a menu where you can choose what you want to learn. For the introduction, it provides knowledge in these areas:


Furthermore, you can choose all these modules:

AI tools and resources for your business

This module provides a high-level overview of the primary concepts of AI and the technologies behind it. You’ll learn how Microsoft is embedding AI into tools, products, and services that can be used by organizations.

Create business value from AI

This module is designed to help you plan your AI strategy and adopt an AI-ready culture. It proposes a framework to drive that change in your organization.

Embrace responsible AI principles and practices

This module is designed to help you adopt responsible AI practices. It offers an overview of the principles, governance system, and procedures followed at Microsoft, but we encourage you to develop your own AI strategy.

Scale AI in your organization

This module provides insights for a full adoption of AI in your organization. It covers AI strategy, assigning responsibilities, and empowering business users and subject matter experts so they can use AI themselves.

Learn AI based on your role

Business leader

Leads AI strategy and adoption in an organization.

Technical leader

Leads AI strategy and adoption, with focus on technology adoption.

Business user / functional consultant

Uses AI technologies, like copilots, or helps implement AI technologies.

Developer / AI engineer / software architect

Builds AI solutions and apps.

Citizen developer

Builds low-code AI apps.

Data scientist / ML engineer

Implements data science and machine learning solutions.

Data engineer / data analyst

Implements end-to-end analytics and data engineering to prepare for AI solutions.

IT professional

Takes care of infrastructure needed to implement, deploy, secure, and manage AI solutions.

To access all these courses, click here

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