Certificate & badge
On successful completion you receive a formally issued AIACI™ certificate and a LinkedIn-shareable digital badge that you can display on your profile and CV.
Executive
AI Leadership.
Strategy, governance, and capital allocation for C-suite and board-level leaders translating AI capability into enterprise-wide value.
About the Program
What it is.
A ten-week, cohort-based certification designed for senior executives accountable for AI decisions at the enterprise level. The program is delivered by practitioners with direct experience deploying AI inside global organizations, regulators, and boards.
The program is delivered fully online and asynchronously — there are no live sessions. Each week, participants work through the released learning material on their own schedule. Most weeks include a short submission: a quiz response or a self-recorded video addressing a hypothetical executive situation. Some weeks are study-only. Submissions are reviewed by a faculty practitioner, and personalised feedback is returned the following week.
-
Strategy and operating models
Translate AI capability into a defensible operating model — where it sits, who owns it, and how it compounds across the enterprise.
-
Governance and risk
Establish executive oversight aligned to ISO 42001, the NIST AI RMF, the EU AI Act, and the Australian Government AI technical standard — and the controls regulators and boards expect to see.
-
Capital allocation
Frame AI as a capital decision: portfolio choices, build-vs-buy, infrastructure economics, and the metrics that justify continued investment.
-
Board and stakeholder accountability
Lead the conversation with the board, investors, and regulators — with the language, evidence, and posture each audience requires.
Who It Is For
Built for the leaders
Built for the leaders
accountable for AI decisions.
- CEOs, COOs, CFOs, CIOs, CTOs, and CDAOs setting enterprise-wide direction on AI.
- Board members and non-executive directors overseeing AI strategy, risk, and capital allocation.
- Chief Risk, Compliance, and Legal officers accountable for AI governance and regulatory exposure.
- Heads of Transformation, Strategy, or Innovation leading enterprise-wide AI initiatives.
- Investors, founders, and partners shaping AI-native portfolios or operating models.
Curriculum
Ten weeks. Eight modules.
Ten weeks. Eight modules.
One executive standard.
The curriculum is structured around the decisions that actually land on an executive's desk — not a survey of AI techniques.
-
01
AI Strategy & Operating Models
Defining where AI creates durable advantage, how it sits inside the operating model, and the trade-offs between centralized, federated, and embedded structures.
-
02
AI Standards & Regulatory Frameworks
Working knowledge of ISO 42001, the NIST AI Risk Management Framework, the EU AI Act, and the Australian Government AI technical standard — how each framework is structured, how they map onto each other, and what executive-level controls each one expects.
-
03
Trusted Data & Data Integrity for Executive Decisions
Why data integrity is the foundation of every credible AI-driven decision. Data quality, lineage, provenance, and the executive habits required to trust — or challenge — the AI outputs leadership relies on.
-
04
Risk Management & Model Assurance
Identifying, measuring, and mitigating AI-specific risks. Model risk, third-party exposure, and the assurance practices that satisfy regulators, auditors, and the board.
-
05
AI Investment Strategies
Framing AI as a capital decision. Portfolio prioritization, build-vs-buy-vs-partner economics, infrastructure choices, and the financial discipline needed to defend continued investment to the CFO and the board.
-
06
Board Oversight & Accountability
What boards must know, what they must approve, and what evidence to demand. Reporting cadences, escalation thresholds, and director-level questions on AI.
-
07
Enterprise Transformation, Talent & Change
Leading the organizational shift AI requires — operating cadence, decision rights, talent strategy, culture, and the executive playbook for navigating disruption inside complex organizations.
-
08
Ethics, Trust & Long-Horizon Reputation
Designing trustworthy AI: bias, transparency, human oversight, and the long-horizon reputational considerations of deploying AI at scale.
Tuition
Program investment.
A single, all-inclusive fee covers full access to the learning platform, faculty feedback, and the issued credential. Renewal in each subsequent year is included at no additional cost.
Total fee
USD$3,860
All-inclusive. Covers learning materials, faculty feedback on submitted work, the final certificate, the LinkedIn-shareable digital badge, and annual recertification.
What You Receive
Certificate, badge,
Certificate, badge,
and ongoing support.
12-month renewal
Because the AI landscape moves quickly, every credential is renewed every 12 months at no additional cost. Renewal requires successful completion of a short set of refresher modules each year.
Academic support
Participants have direct access to AIACI™ faculty throughout the program to answer course-related questions, clarify concepts, and discuss how the material applies to their own organization.
Strategy Consultation
A complimentary
A complimentary
AI strategy consultation.
Every Executive AI Leadership participant is offered an optional 90-minute consultation with one or two of our senior AI specialists. The session is designed to provide tailored advice on how to apply complex agentic flows and AI systems to mission-critical enterprise workflows — from where they create the most value to how they should be governed and measured.
You bring the context
The activities, business units, and decisions where AI matters most to your organization. Come with real questions you want answered.
We bring the perspective
Targeted recommendations on where AI can deliver the most value, how to govern its use responsibly, and how to track ROI as adoption scales across the enterprise.
You leave with a direction
A concise, written set of recommendations you can take into your next leadership or board conversation, focused on where agentic AI fits into your mission-critical enterprise workflows.
Cohort Calendar
Upcoming cohorts.
Executive AI Leadership runs in fixed cohorts. Choose the intake that fits your schedule and ensure your application is submitted before the deadline below.
| Intake | Course start | Application deadline |
|---|---|---|
| 2026 Intake | ||
| July 2026 | 20 July 2026 | 22 June 2026 |
| October 2026 | 5 October 2026 | 7 September 2026 |
| 2027 Intake | ||
| January 2027 | 25 January 2027 | 28 December 2026 |
| April 2027 | 12 April 2027 | 15 March 2027 |
| July 2027 | 19 July 2027 | 21 June 2027 |
| October 2027 | 4 October 2027 | 6 September 2027 |
Take the next step in
your AI leadership journey.
Complete your online application and upload the required documents to secure your place. Places are limited and cohorts run quarterly.