Programs from Berkeley, MIT, Wharton, Oxford and others aimed at managers, founders, and executives. Learn to evaluate AI opportunities, lead adoption, manage risk, and speak credibly with technical teams.
Sorted cheapest first. Click a column header to re-sort. Executives, managers, product leaders, founders.
| Course | Level | Duration | Price | Certificate | |
|---|---|---|---|---|---|
Microsoft · Microsoft Learn |
beginner | 4 modules, approx. 3-4 hours | Free | No | Visit |
University of Pennsylvania (Wharton) · Coursera |
beginner | 4 courses, approx. 1-6 months at 10 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
Duke University · Coursera |
beginner | 3 courses, approx. 4 months at 5 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
Harvard Business School · Harvard |
beginner | 4 weeks, 16-24 hours total (4-6 hrs/module) | Paid $1,949 |
Yes | Visit |
INSEAD · Emeritus |
intermediate | 5 content weeks plus 2 weeks for project work and peer review | Paid €2,100 |
Yes | Visit |
UC Berkeley Executive Education · Emeritus |
intermediate | 2 months, 4-6 hrs/week | Paid $3,050 |
Yes | Visit |
University of Oxford, Saïd Business School · GetSmarter |
beginner | 6 weeks at 7-10 hrs/week | Paid $3,280 |
Yes | Visit |
MIT Professional Education |
intermediate | 8 weeks | Paid $3,350 |
Yes | Visit |
MIT Sloan School of Management and MIT CSAIL · GetSmarter |
beginner | 6 weeks at 6-8 hrs/week | Paid $3,850 |
Yes | Visit |
No payment required. Several of these are complete university courses.
A free Microsoft Learn path for business leaders covering how to leverage AI tools, create business value, embrace responsible AI principles and scale AI across an organization. Useful for managers planning Azure or Copilot-based AI adoption who want a vendor's structured playbook at no cost.
Watch everything free; pay only if you want graded assignments and a credential.
Four Wharton courses covering AI fundamentals, machine learning for marketing and finance, people analytics and the ethics of AI in business. A low-cost way for managers and analysts to get an Ivy League business school's framing of applied AI.
Three Duke courses on machine learning foundations for product managers, managing ML projects and designing human-centered AI products. The go-to option for product managers and team leads who need to scope, staff and ship AI features.
Structured programs with instructors, cohorts, projects or formal credentials.
HBS Online's case-based course on how AI works, where it creates value and how to lead responsible adoption, taught by Harvard faculty with real company cases. Good for managers who want a Harvard credential and a strategic (not technical) grounding in AI.
INSEAD faculty walk leaders through how AI changes strategy, operations and organizational design, ending with an applied project on the participant's own business. A strong choice for European and global managers who want a top-ranked business school's AI certificate at a mid-range price.
A Berkeley Haas-led program that teaches managers how AI, machine learning and generative AI create business value, with frameworks for identifying use cases and leading adoption. Best for executives and functional leaders who need to make AI investment decisions without writing code.
Oxford Saïd's six-week online programme covers AI history, machine learning fundamentals, ethics, and how to build an AI business case, assessed through practical assignments. For executives and professionals who want an Oxford certificate of attendance and a structured, cohort-based introduction.
An MIT program on applying generative AI and automation to transform operations, products and customer experience, with live faculty sessions and applied exercises. Suited to technology and business leaders tasked with turning AI pilots into enterprise-wide change.
MIT Sloan's flagship executive course on how machine learning, NLP, and robotics reshape business strategy, with frameworks for building an AI roadmap. For leaders and managers who want an MIT credential and a strategic (not technical) grounding in AI.
Understand what AI is, how it works, and how to use it — no coding required.
Fairness, alignment, governance, and the societal impact of AI.
Online master's degrees, graduate certificates, and MicroMasters in AI.