Featured Artificial Intelligence Programs

Find the right AI learning solution for your role, team or organization.

Now Is the Time to Prepare

AMA’s third annual AI in the Workplace survey shows that AI use is growing quickly—but many employees and organizations are still working to catch up. Key findings include:

95% of organizations using AI

of organizations are now using AI

25% of professionals say their organization has no AI strategy or are not sure if one exists

said their organization has no AI strategy—or aren’t sure if they do

57% of professionals feel behind in AI learning and knowledge

consider themselves behind in keeping up with AI learning and knowledge

Download the AI Workplace Whitepaper



Featured Artificial Intelligence Programs

Find the right AI learning solution for your role, team or organization.



 

Build the Confidence to use AI Effectively Across Your Workforce

AMA’s Corporate Learning Solutions partners with your organization to turn AI into a strategic advantage. We help leaders establish clear direction and governance, enable managers to drive consistency and accountability, and equip employees to apply AI thoughtfully in their daily work. Our tailored approach—designed for intact teams—embeds AI acumen directly into your workflows, culture, and business priorities, so adoption isn’t left to chance.

Tell us a bit about your organization—we’ll follow up with tailored recommendations

 

 

Complimentary Preview of AI Certificate Program

Explore a comprehensive introduction to what you’ll learn in the full course, Artificial Intelligence (AI) Business Essentials Certificate Program, and gain insights into AMA’s results-driven experiential approach.

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What Participants are Saying...

“This is by far the best training course I have taken. The instructor was engaging and charismatic, creating a forum for open discussion. The material and delivery were on point. You could tell the whole class was involved, and I learned a lot from both the instructor and the attendees.”

—Lindsey M., Master Data Governance Specialist, Industry: Manufacturing
Strategic AI: Preparing Your Organization for Transformation

“Great introduction to AI technology and applicability to the workplace. The breakout group activities were useful to stimulate thinking about solving real problems with this technology.”

—Danny M., Director of Strategic Communication & Learning, Industry: Pharmaceuticals
Artificial Intelligence (AI) Business Essentials Certificate Program

Frequently Asked Questions

How can organizations prepare employees for AI adoption?

Organizations can prepare employees for AI adoption by building AI literacy, setting clear policies and offering practical learning opportunities. Employees need to understand how AI tools work, when to use them and how to evaluate AI-generated results with sound judgment.

What skills do employees need to work effectively with AI?

Employees need a mix of technical awareness and human-centered skills, including critical thinking, problem solving, communication, decision making and responsible AI use. These skills help professionals use AI as a tool while still applying human judgment and business context.

What is AI governance and why does it matter?

AI governance is the set of policies, processes and guidelines an organization uses to manage AI responsibly. It matters because it helps reduce risk, improve consistency, protect data and ensure AI is being used in ways that support business goals.

How can leaders successfully implement AI in the workplace?

Leaders can successfully implement AI by starting with clear business goals, identifying practical use cases, preparing employees and creating guidelines for responsible use. AI adoption works best when leaders connect the technology to real work, measurable outcomes and employee confidence.

How can organizations measure AI readiness?

Organizations can measure AI readiness by reviewing employee skills, leadership alignment, governance policies, available tools and current use cases. This helps identify gaps before scaling AI across teams or making larger investments.