AI Strategy and Adoption Courses
12 courses on deciding, planning and running an organization's adoption of AI: where it fits, the business case, implementation and change. For most of them, the main subject is that decision and how it is carried out, rather than how AI works or how to use a particular tool.
Adopting AI means deciding where it is worth applying and whether a project justifies its cost, testing an idea before it gets a budget, and getting people and processes ready so the change lasts. Most of these courses take those questions as their main subject: the opportunity assessment, the business case, the implementation plan and the change management that follows. They suit whoever owns that work, from leaders and managers to the project and transformation teams who carry it out. Leaders & Executives is defined by audience instead: courses written for people who lead, on leading an organization's use of AI or using AI in their own role. Responsible AI & Governance covers governance, ethics and risk.
AI Strategy & Adoption courses
12 courses.
AI Business Strategy for Leaders & Managers: ChatGPT, ML, DL
Udemy
AI Strategy and Leadership in Finance
CPA Australia
Artificial Intelligence (AI) Strategy
DataCamp
Building a Generative AI-Ready Organization
AWS Skill Builder
Deploying Claude Enterprise with confidence: The five decisions that shape your rollout
Anthropic
GenAI Implementation and Change Management
ICAEW
Implementing AI Solutions in Business
DataCamp
Key considerations for successful Generative AI adoption
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
Frequently asked questions
- What is an AI strategy?
- An AI strategy is an organization's plan for where AI will create value and how it will get there: which uses to pursue first, what they will cost, how success will be measured, and how the change will be managed.
- Do AI strategy courses require a technical background?
- No. They deal with decisions, plans and people rather than building systems. Where a course expects technical knowledge, its own page says so.
- How is this page different from Leaders & Executives?
- This page is defined by subject: most courses here are mainly about deciding, planning or running an organization's adoption of AI. Leaders & Executives 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. A course that is both appears on both. Courses mainly about governance and risk are on Responsible AI & Governance.
Key concepts
The foundational terms these courses build on — each chip links to a plain-English definition in the AI Pinnacle glossary.