AI Courses for Leaders and Executives
AI courses for executives, managers and decision-makers cover leading an organization's use of AI: strategy, adoption, governance and change. The subject also includes a leader's own use of AI, and knowing what it can and cannot be trusted with. The courses are about leading and using AI, not engineering it; where one includes hands-on building, such as setting up a simple agent, its own page says so.
Every course here is written at least partly for people who lead. Across the page, readers range from executives and senior finance leaders to managers, team leads and the owners of small businesses; where a course also serves other readers, such as analysts or compliance staff, its own page says who. Between them, the courses cover deciding where AI is worth applying and whether a project justifies its cost, getting people and processes ready, answering the resistance and anxiety that change brings, setting AI policy and oversight, and using AI in a leader's own work. Where a course is written for one sector or function, its own page says so. AI Strategy & Adoption is defined by subject instead: courses mainly about deciding, planning and running an organization's adoption of AI, for whoever owns that work. A course appears on both pages when it fits both.
Courses for Leaders & Executives
27 courses.
AI Business Strategy for Leaders & Managers: ChatGPT, ML, DL
Udemy
AI Fluency for Small Businesses
Anthropic
AI Strategy and Leadership in Finance
CPA Australia
Artificial Intelligence (AI) Strategy
DataCamp
Artificial Intelligence Governance
DataCamp
Building a Generative AI-Ready Organization
AWS Skill Builder
Building effective human-agent teams (beta)
Anthropic
Empower your workforce with Microsoft Copilot: Executives
Microsoft Learn
Explore the business value of generative AI solutions
Microsoft Learn
GenAI governance blueprint microcourse
CA ANZ
GenAI Implementation and Change Management
ICAEW
GenAI in Business Strategy & Risk Management
ICAEW
GenAI in Corporate Governance and Board Strategy
ICAEW
Generative AI for Business
DataCamp
Generative AI for Executives
AWS Skill Builder
Generative AI for Leaders
Coursera (Vanderbilt University)
Generative AI Leader Certification
Google Skills
Implementing AI Solutions in Business
DataCamp
Key considerations for successful Generative AI adoption
The Open University
Monetizing Artificial Intelligence
DataCamp
Navigating risk management
The Open University
Planning a Generative AI Project
AWS Skill Builder
Planning a Machine Learning Project
AWS Skill Builder
Planning for GenAI implementation in finance microcourse
CA ANZ
The AI-Ready CPA: Leading Finance Through Change
AICPA & CIMA
Understanding legal regulation and compliance
The Open University
Use cases for Generative AI
The Open University
Frequently asked questions
- Do I need a technical background to take an AI leadership course?
- No. The courses on this page are about leading and using AI, not engineering it. Where a course expects technical knowledge or code, its own page says so.
- Are these courses for managers, or only for senior executives?
- Managers as well. This page covers anyone who leads a team's or an organization's use of AI, from a board member to a team lead or the owner of a small business. Each course's page says who it was written for, which is the quickest way to tell a boardroom course from one built for a manager running a team.
- How is this page different from AI Strategy & Adoption?
- This page is defined by audience: courses written for people who lead, on leading an organization's use of AI or using AI in their own role. AI Strategy & Adoption is defined by subject: courses mainly about deciding, planning and running an organization's adoption of AI, for whoever owns that work. A course that is both appears on both.
Key concepts
The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.