Professional Certificate in AI Leadership™
Studying AI in business helps to streamline operations, enhance decision-making, and drive innovation by leveraging data and automation.
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Duration: 6 Weeks (Intensive)
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Upcoming Cohorts:
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Cohort Size: 20–25
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Outcome: Chief AI Officer
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Know more about Professional Certificate in AI Leadership
Why organisations struggle with AI — and how we help you to solves it
We’ve designed the AI Leadership and Strategy Program to directly solve the real barriers leaders face: unclear strategy, unsafe adoption, no operating model, and limited leadership capability.
No Clear AI Strategy
AI pilots run in silos with no link to growth, cost savings, or customer impact.Our Solution
- AI pilots run in silos with no link to growth, cost savings, or customer impact.
- Identify high-impact use cases with clear ROI.
Fear Around Safe & Responsible Adoption
Legal, risk, and security teams block AI because ethics, privacy, and governance are unclear.Our Solution
- Teach ethical AI, bias, fairness, and governance models.
- Design risk-aware AI project plans with mitigation and compliance.
No Operating Model Beyond Pilots
Pilots work, but there’s no structure to move from idea to production and continuous improvement.Our Solution
- Map the end-to-end AI lifecycle from ideation to deployment.
- Define roles, ownership, and cross-functional AI teams.
Leaders and teams aren’t AI-ready
Technology is in place, but leaders lack the skills to ask the right questions and drive change.Our Solution
- Build non-technical fluency in AI platforms and tools.
- Develop AI leadership, decision-making, and future-of-work skills.
Everything you need to turn AI hype into real business results
Live strategy labs, organisation-specific work, practical tools, and leadership support to make AI deliver measurable value.
Live Leadership Strategy Labs
Facilitated weekly sessions where your leaders define AI vision, priorities, and value pools tied directly to revenue, cost, and risk.
Organisation-Specific Use Case Design
Hands-on working time to map your own processes and data into 3–5 high-impact AI use cases with clear ROI, feasibility, and owners.
AI Operating Model & Governance Blueprint
Guided templates to design roles, guardrails, and workflows so AI projects move from pilot to scalable, safe, business-as-usual delivery.
Capstone AI Roadmap & Ongoing Support
A concrete 6–12 month AI roadmap for your organisation, plus access to tools, playbooks, and optional follow-up clinics to keep execution on track.
Summary: Develop a strong conceptual understanding of AI and its strategic importance in business.
- Topics: Core Concepts of AI: Understanding Artificial Intelligence, Machine Learning, and Deep Learning., AI Trends and Global Market Insights, The Business Value of AI: Use cases across industries, Ethical Considerations in AI: Addressing bias and fairness in AI systems.
Summary: Learn to align AI initiatives with organizational goals, identify high-impact use cases, and evaluate feasibility and ROI.
- Topics: Aligning AI initiatives with organizational mission and vision. , AI Trends and Global Market Insights., Identifying high-impact AI use cases., Evaluating feasibility and ROI for AI projects.
Summary: Gain insights into AI platforms with a focus on practical, non-technical applications.
- Topics: Overview of AI platforms: AWS, Azure, Google AI, and no-code AI tools. , Key technologies: Natural Language Processing (NLP), Computer Vision, and Generative AI., Data fundamentals: Ensuring data quality and governance , Automation through AI: Robotic Process Automation (RPA) and intelligent systems.
Summary: Master the end-to-end lifecycle of AI initiatives, from ideation to deployment.
- Topics: Phases of AI project lifecycles: Ideation to deployment., Building and leading cross-functional AI teams. , Compliance and data privacy in AI projects, Overcoming AI implementation challenges.
Summary: Leverage AI generated insights to make smarter and data-driven decisions.
- Topics: Predictive analytics and business intelligence using AI. , Setting KPIs and measuring the performance of AI initiatives. , Scenario planning and forecasting with AI tools., Balancing human judgment with AI insights in decision-making.
Summary: Prepare to lead AI innovation and adapt to emerging trends in workforce transformation.
- Topics: AI Leadership Skills: Driving innovation and creating a culture of learning. , Workforce transformation: Strategies for upskilling and reskilling teams. , Emerging trends: Generative AI, autonomous systems, and Industry
Capstone Project
Apply everything you’ve learned to a real-world AI leadership challenge.
Architecture
- • Design an AI-driven strategy for a real or hypothetical organisation.
- • Define operating model, ownership, and cross-functional stakeholders across business, data, and IT.
- • Address data, ethics, risk, and workforce implications in your plan.
Evaluation Rubric
- • Strategic alignment & business impact (30%)
- • Operating model & execution plan (25%)
- • Governance, ethics & data privacy (20%)
- • Communication & storytelling (15%)
- • Innovation & practicality (10%)
Deliverables
- • Executive-ready AI strategy & roadmap (timelines, resources, ROI).
- • Decision-making framework showing how leaders will use AI insights.
- • Implementation plan covering governance, data privacy, and compliance.
Showcase
- • AI-enabled customer experience for a bank, insurer, or retailer.
- • Intelligent operations for healthcare, mining, or manufacturing.
- • Responsible AI governance model for a large enterprise
Example Capstone Themes
- • Live capstone presentation with feedback from expert mentors.
- • Guidance on turning the capstone into an internal proposal or board-ready deck.
- • Structured feedback on strategy, roadmap, and leadership approach.
Case Study
- Google’s AI strategy for scalability and innovation. The adoption of AI in healthcare to improve patient outcomes (e.g., IBM Watson Health)
- How Amazon leverages AI to optimize supply chain management. AI’s role in transforming customer service at Australian and New Zealand banks.
- Microsoft Azure’s role in transforming manufacturing efficiency. The use of Google AI in marketing analytics and customer insights.
- Lessons from Tesla’s AI project management in autonomous vehicles How Australian firms manage AI implementation risks in finance.
- Netflix’s use of AI for customer recommendations and content strategy. Predictive maintenance in mining and energy industries in Australia and New Zealand.
- AI governance models at IBM and Google. Workforce transformation strategies at leading Australian firms.
Weekly Assignment
- Analyze a company’s current use of AI. Identify its strategic importance and suggest areas for improvement.
- Develop an AI strategy document for an organization, detailing use cases, feasibility, and expected ROI.
- Select an AI platform and propose its implementation for a specific business function.
- Create a project management plan for an AI initiative, including risk mitigation and compliance considerations.
- Develop a decision-making framework using AI for a business scenario.
- Develop a decision-making framework using AI for a business scenario.
Why Choose This Program
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Strategic Impact: Turn AI from a buzzword into a clear strategy, roadmap, and business case tied to revenue, cost, and risk.
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Leadership-Focused: Built specifically for executives and senior leaders – no coding required, just practical decision-making frameworks.
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Safe & Responsible Adoption: Learn how to use AI with the right guardrails, governance, and risk controls so Legal, Risk, and IT are on board.
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Operating Model, Not Just Ideas: Design roles, processes, and workflows so AI projects move from pilot to scalable, business-as-usual delivery.
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Organisation-Specific Outcomes: Work on your own use cases, data, and context so you finish with an AI strategy and roadmap your board can approve.
Continue Your Growth
After the core program, you can deepen the impact with:
- Executive Advisory (custom) — ongoing support for your leadership team to review progress, refine roadmap, and unblock decisions.
- Implementation Sprint (6–8 weeks) — work alongside our team to take 1–2 priority AI use cases from strategy into live deployment.
- In-House Leadership Program — run a tailored version of GIofAI for your wider leadership group or business units.
Become an “AI-Ready Leader” — Fast
Our participants walk away with:
- A clear 6–12 month AI plan, linked to revenue, cost savings, and risk reduction that you can take straight to the C-suite or board.
- 3–5 prioritised use cases for your own organisation, each with defined value, feasibility, owners, and next steps.
- Roles, processes, and guardrails so Legal, Risk, IT, and Business are aligned on how AI is approved, deployed, and scaled.
- Reusable canvases, checklists, and frameworks you can use to run AI initiatives long after the program ends.
- The language, stories, and case studies to confidently engage with vendors, data teams, and executives about AI.
All the Support You Need
Mentors, community, toolchains, and job launch support — all built in.
1-on-1 Mentorship
Personal guidance from pro AI Leadership every two weeks.
Live Office Hours & Community
Weekly group sessions + 24/7 Discord support — never get stuck alone.
Real Employer Toolkits
Work hands-on with AWS, Azure, Snowflake, Databricks, Docker, dbt, Airflow & more.
Career Launch Services
Resume, LinkedIn, portfolio workshops, mock interviews, and job leads included.
Professional Certificate
Earn an industry-recognized credential and a digital badge you can add to your LinkedIn within minutes of completion.
- Shareable digital badge (Open Badge standard)
- One-click verification for recruiters and hiring managers
- Certificate ID & QR for resumes and portfolios
Voices From Our Alumni Network
Powerful success stories that reflect the value, growth, and real-world outcomes of their journey with us.
The AI Leadership program finally connected AI buzzwords to real business value. I walked away with a clear strategy, an operating model, and the confidence to lead AI discussions with our exec team.
Investment & Next Steps
Seats are limited to maintain quality mentorship and peer support.
- 6-week live online program
- Weekly AI leadership & strategy labs + self-paced resources
- Guided design of your AI strategy, use-case portfolio, and operating model
- Capstone: a 6–12 month AI roadmap tailored to your organisation
- 1:1 or small-group advisory session on your roadmap GIofAI AI Leadership certificate + digital credential
Scholarships & Payment Plans
We aim to keep the program accessible. Limited scholarships and flexible plans are available.
- Limited scholarships for non-profits, public sector, and startups
- Group discounts for executive teams and in-house cohorts
- Flexible invoicing and split-payment options
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