"The failure of 85% of AI projects isn't a technical issue—it's a leadership one, rooted in a lack of training, experience and strategic clarity."
Source: Gartner
Why This Course Will Turbo-Charge Your Career

There’s no shortage of AI coders or IT specialists.
There is however, a critical shortage of AI Strategy Leaders which in the next 12 to 18 months will reach crisis levels.
This course isn’t about prompting ChatGPT or Copilot. It’s about understanding how commercial-grade AI and "Big Data" is transforming entire industries—and how you can lead that transformation inside your own organisation.
Think of it like this:
AI coders are the mechanics.
But what businesses urgently need are the drivers—strategic leaders who can:
✅ Spot opportunities
✅ Build roadmaps
✅ Deliver measurable business results
This course was built for training those leaders.
When selecting a course always ask what "real life" experience have the lecturers got? Most courses are taught by academics with little commercial AI, BI, or big data strategy experience. Ours isn’t. It’s run by experts from Data-Shack (www.data-shack.com)—practicing data scientists with over 25 years of hands-on experience. We also lecture in universities and have trained hundreds of people within major brands.
"You're in safe hands"
What’s In It for You
By completing this program, you'll gain:
💸 A reputation as the most valuable person in your department which means increased salary, bonuses & faster promotions
🧠 Visibility with senior leadership
🗣 Influence over business-critical decisions
📄 A certification you can take to any future role
🌍 Access to a peer network of AI-forward professionals
💸Job security. Your job is safe from AI. It’s not safe from someone who knows how to use AI better than you.
The future belongs to those who can adapt, automate, and lead change—not just react to it.

Course Overview
✅ Certified AI Leadership Training — designed for executives, BI, corporate strategists, sustainability and other professionals which meet the skill sets below.
✅ The only course grounded in Six Sigma principles for high-impact, low-risk AI delivery
✅ Taught by senior data scientists with real-world deployments at Amex, Barclays, BAT and others down the alphabet. (see below)
✅ A capstone project tackling the Scope 3 procurement and due diligence challenge—designed to help you cut costs, stand out in the market, boost sales, and drive revenue.
Why this project? The business case is rock-solid, and once presented by yourself, it's highly likely your senior leadership will back its implementation.
(Consulting firms charge upwards of £30,000 for comparable strategy work—this program gives you that framework, with expert support.)
Format & Duration
🕒 Starts with a 2-hour live, online (Teams) introductory workshop
📆 Runs over 2–3 months
📚 ~50 hours total online learning time. Learn at you own pace!
💬 Monthly live Teams meetings with your course lecturer/s
Outcome
Worst Case: The ability to create a vision and guide your department to be a leader in its sector.
Best Case: The credibility and skills to lead AI transformation across the whole organisation and become one of it's most influential people.
Lead AI. Accelerate Your Career.
This is a once-in-a-generation opportunity. By the end of 2026, the leadership slots will start to be filled.
Skill Sets
Before enrolling, make sure you have the correct skill set. You don’t need technical AI or coding knowledge—but the ability to learn and master these nine core skills will be essential.

🔑 1. Strategic Thinking
Why? AI must support long-term business objectives. Leaders need to see beyond tech hype and guide AI use toward ROI, efficiency, competitive advantage, or sustainability outcomes. Could you do that?

📊 2. Data Literacy (Non-Technical)
Why: You don’t need to code, but you must have the ability to understand what data is available, what insights are possible, and how to ask the right questions to your technical teams. Are you confident you can deliver?

♻️ 3. Sector Expertise (e.g., Sustainability, BI, Ops, logistics etc.)
Why: AI is only useful when applied in context. Leaders must develop the capacity to deeply understand different business areas (e.g., manufacturing, energy, carbon reduction, procurement /supply chain risk, sales, quality control, HR etc.) to spot high-impact use cases. Have you an interest in how organisations operate, not just your own department?

🤝 4. Cross-Functional Communication
Why it matters: Can you influence others? Do people pay attention when you speak? AI strategy demands alignment across IT, operations, finance, and leadership. Strong communication builds buy-in, reduces resistance, and turns technical insight into action.
Ask your colleagues—do they think you can grow in this area?

📈 5. Change Management
Why: It is not just having a vision, you will need to deliver. AI projects often fail due to cultural resistance or lack of adoption. Leaders must manage stakeholders, redesign processes, and ensure teams adapt to new workflows. Again, this is a key skill. Do you have or can you develop that skill?

💡 6. Opportunity Identification
Why: Strategic leaders must constantly scan for areas where AI can cut costs, reduce emissions, increase efficiency, or improve forecasting—then prioritise based on impact and feasibility. Does that type of task interest you?

⚖️ 7. Risk, Ethics & Governance Awareness
Why: AI introduces risks (bias, privacy, reputational harm). Leaders must set guardrails and make sure AI aligns with ESG, compliance, and stakeholder trust.

🧩 8. Vendor & Tech Stack Evaluation
Why it matters: Most AI solutions are bought, not built. Leaders must know how to evaluate tools and vendors, spot hype, and ensure smooth integration with systems like CRMs or ERPs.
We’ll teach you the right questions to ask—but staying sharp means keeping up with a fast-moving market. Do you have the drive to stay current?

🧠 9. AI Fluency (No Coding Required)
Why it matters: You need a solid grasp of how AI works—its models, training process, and limits—to spot unrealistic promises and lead smart conversations with data teams and vendors.
Do you have the mindset to understand and retain this kind of knowledge?
Curriculum
- A New Era of AI Capabilities: Understand how advancements in machine learning, generative AI, and automation are creating exponential change.
- The Economic Impact of AI: Explore how AI is projected to add trillions to the global economy and reshape job roles and productivity.
- But How Did We Get Here?: Trace the historical breakthroughs that led to today’s AI revolution.
- Are We Close to Artificial General Intelligence?: Examine the debate around AGI and whether human-like reasoning is near.
- Further Reading
- Key Takeaways
- a. Using AI for good
- b. But there are risks…
- c. Will AI help or hinder the fight against climate change?
- d. Impact on jobs
- e. Tackling (or exacerbating?) inequality
- f. The polarization problem
- g. Combatting bias
- h. Cyberattacks and terrorism
- i. Regulation
- j. Further reading
- k. Key takeaways
- l. Notes
- a. AI strategy at a national level
- b. The National Health Service: Transforming healthcare through AI
- c. NextGen Biotech: Using AI to drive innovation
- d. Shell’s AI strategy: Transforming an energy giant
- e. IKEA’s comprehensive AI strategy: Enhancing the customer experience
- f. EduTech Innovations: An AI-driven learning transformation
- g. Key takeaways
- h. Notes
- a. Marketing: Personalizing customer experiences at NextGen Biotech
- b. Human resources: Optimizing talent management in a major US telecom company
- c. Finance: Enhancing financial operations and risk management in a European insurance company
- d. Information technology: Driving digital transformation in an Asian fintech start-up
- e. Key takeaways
- a. Have a strategic roadmap
- b. Foster a data-driven culture
- c. Invest in talent development
- d. Embrace ethical AI principles and governance
- e. Foster a culture of innovation
- f. Build strong partnerships
- g. Prioritize user experience
- h. Leverage cloud technologies
- i. Lead by example and think big
- j. Stay informed about AI advancements
- k. Key takeaways
- a. Identify a business problem or opportunity within your department or company.
- b. Explain why AI is a fit for solving it.
- c. Define success metrics (e.g., cost savings, efficiency, carbon reduction, risk mitigation).
- d. Example: “Reducing Scope 3 emissions by optimizing supplier data and predicting ESG risks using AI.”
- a. Identify key ethical, regulatory, or reputational risks.
- b. Propose mitigations (e.g., explainability, bias checks, audit trails).
- c. Align with internal values (e.g., sustainability, DEI, transparency).
- d. Implementation Roadmap (20%)
- e. Outline a 6–12 month rollout plan.
- f. Include milestones, resourcing, budget estimates, and success metrics.
- g. Address change management and communication strategy.
Your instructors
Our team brings together data scientists, environmental experts, and seasoned business leaders—a rare mix of technical depth, strategic insight, and real-world experience.
You won’t just learn how AI works. You’ll learn how to communicate it to colleagues, secure buy-in across departments, and present with confidence at board level.
We’ve helped drive AI and sustainability strategy at organisations like Amex, Barclays, and BAT. Now, we're here to help you lead the transformation inside yours.


Anni Toner
Anni is recognised as one of the leading data scientists in the corporate world, with over 20 years of experience delivering data-driven transformation across global markets. She is Group CEO of The Data Shack Collective, a group of companies operating in Africa, APAC, and the UK.
She began her journey in 2001 as Owner and Managing Director of The Data Shack Africa, driving consistent growth and later expanding into Asia-Pacific and the UK. Her expertise spans enterprise data systems, advanced analytics, and IT architecture, and she continues to lead major projects as a technical lead to stay grounded in real-world application.
She is also passionate about “Data Science for Good” initiatives, supporting anti-rhino poaching analytics, crime network mapping, and mentoring young and female data scientists in Africa.
With a unique combination of strategic leadership and technical depth, she regularly trains and advises organisations on data modelling, predictive analytics, and enterprise-scale AI adoption.

Jason Whindus
Jason joined The Data Shack in 2015, bringing with him over 17 years of experience in Information Technology from British and American Tobacco, a global multinational. During his corporate career, he held roles ranging from analyst/programmer and local IT services manager to regional integration lead across Eastern Europe and AME, gaining valuable insight into both the technical and operational sides of IT.
At The Data Shack, Jason has developed strong capabilities as both a technical and functional analyst. Since 2020, he has taken on an architect role with a team reporting to him. His expertise spans software applications, data integration, and information management systems that support business decision-making.
He has hands-on experience with TIBCO Statistica and intermediate skills in TIBCO Spotfire, developed through close collaboration with senior data scientists. With a solid grounding in data access and wrangling, Jason is well positioned to support data science functions and serve as a thoughtful, solutions-focused partner to clients.

Lizzy Oberholzer
Data isn’t just numbers—it’s people, stories, and decisions waiting to happen.”
This insight shaped Lizzy's career early on, when a single visualisation transformed the direction of an entire project. From that point, data became more than analysis—it became purpose.
Today, Lizzy is a very expereinced Data Scientist who connects raw information with meaningful real-world impact. Whether leading late-night Power BI sessions for international clients, developing statistical models in TIBCO Statistica, or untangling messy datasets others avoid, they bring a rare combination of technical precision and genuine care.
With a strong belief in clarity over complexity, quality over shortcuts, and people over process, she consistently delivers solutions that not only work, but resonate. This also includes designing training programmes from the ground up, supported colleagues in achieving their best, and embraced the hard challenges—because those are the ones that matter most.

Joshua Andrew
Joshua is a seasoned sustainability and ESG professional with over seven years of experience driving environmental compliance, Scope 3 readiness, and health and safety strategy across the Middle East and South Asia. As Country Manager at Changing Planet Solutions, he leads the design and implementation of ESG frameworks—automating Scope 3 emissions reporting and aligning supply chains with decarbonisation and regulatory goals.
Previously, Joshua held senior roles at Estithmar Holding, Al Saif Transportation, and Qatar Design Consortium, where he oversaw HSE initiatives, led audits, and delivered safety and sustainability training. He also conducted advanced environmental monitoring during his research fellowship at Bharathidasan University, where he earned his MBA in Environmental Management.
Certified in GRI Reporting and ISO 45001:2018 as a Lead Auditor, Joshua combines data-driven insight with operational execution. His practical use of AI tools and commitment to sustainable transformation make him a key asset in enabling ESG strategy across complex organisations.

Joshua Bancroft
Joshua is a Business Innovation Manager at The Data-Shack, bringing a dynamic blend of strategic insight, creativity, and technical expertise to the forefront of digital transformation. Based in South Africa, he has extensive experience across the FMCG and manufacturing sectors, where he integrates advanced data science, artificial intelligence, and machine learning into real-world business improvement initiatives.
With a strong foundation in Six Sigma, data mining, and natural language generation, Joshua leads innovation programmes that align sales, operations, and continuous improvement. He has progressed rapidly within The Data-Shack, from Business Development Intern to Executive, and now Innovation Manager—demonstrating a consistent track record of delivering value through software solutions and data-led strategy.
Joshua is particularly skilled at turning complex data into clear business opportunities. His mission: to make innovation practical, scalable, and measurable across every part of the organisation.

Mark Morahan
Mark Morahan is a commercially grounded sustainability expert with extensive experience advising C-level executives across Europe, North America, and Asia. Formerly CEO of an executive search firm in investment banking, he joined Redshaw Advisors in 2017—then a four-person startup. Over five years, he helped grow it into a £450 million turnover business with 50+ staff. Mark stepped down from day-to-day operations in 2022, continuing as a consultant until mid-2025.
During this time, he partnered with Data-Shack to co-develop STERA—the first Scope 3 emissions tool to reach tier four of the supply chain.
Mark deeply understands that future sustainability leaders must do more than design strategies—they must persuade senior executives to act. Without board buy-in, even the most skilled leader will fail. That’s why a critical part of the course focuses on developing this influence. Mark’s expertise lies in bridging sustainability with commercial realities—and making change happen at the top.