Key Elements
Format & Fit
- Half‑day or full‑day
- Modular approach
- Tailored to your business
Built for Executives
- No prior knowledge needed
- Clear explanations of AI principles
Real Outcomes
- Actionable insights
- Strategy section + use‑cases
Learning Journey
Foundations
What is AI and how does it work? What’s ML and GenAI?
Applications
How AI is built and used today—and what’s next.
Strategy
How to make AI work for you. Assess readiness.
Use‑Cases
Successful implementations of ML and GenAI.
Curriculum
Part 1 — AI Foundations
Module 1: Setting the Stage
Cut through the jargon with a practical view of what AI is, where it came from, and why it matters.
Module 2: Machine Learning
How AI learns from data: supervised, unsupervised, and reinforcement learning in business contexts.
ADVANCEDFor those who want to go deeper, we'll open the hood and look at the models that power these outcomes.
Module 3: Deep Learning & Generative AI
Plain‑language view of neural nets and transformers (e.g., ChatGPT) and what this means for your industry.
ADVANCEDFor leaders who want the extra edge, we'll provide an insider look at the mehanics driving today's AI systems.
Part 2 — AI Applications
Module 4: Data as Competitive Edge
Why data quality dictates AI quality; turning information into an asset and enriching with external sources.
Module 5: From Idea to Impact
What it takes to deliver an AI initiative—from data to evaluation—and where projects succeed or stall.
ADVANCEDFor leaders who want to learn the details, we'll get into the details of data/model selection, training and evaluation.
Module 6: GenAI Unpacked
LLMs, prompt design, and high‑value executive use‑cases (e.g., content, call‑center analysis).
ADVANCEDFor those who want to push further, we'll reveal how today's most powerful AI systems run.
Part 3 — Strategy
Module 7: The Horizon Ahead
Agents, reasoning systems, and preparing leadership teams for what’s next.
Module 8: AI Strategy for Executives
Align AI with business goals, assess readiness, choose tools/partners, and set governance & ethics.
ADVANCEDFor leaders who want to go further, we'll show how to select the right tools, set up the infrastructure, and establish governance and ethical guardrails.
Part 4 — Use‑Cases
Module 9: Practical Use‑Cases
See how AI is already driving measurable impact across industries.
- Customer engagement (predictive lead scoring, churn prevention, intelligent chatbots)
- revenue optimization (dynamic pricing, recommendations)
- and market intelligence (sentiment, trend detection).
What will you learn?
- See through the hype with a clear, non‑technical understanding of AI, ML, and GenAI.
- Recognize where AI drives measurable value and avoid common pitfalls.
- Speak the language of AI with data teams, partners, and your board.
- Understand the AI project lifecycle—from data foundations to model development.
- Shape an AI‑ready strategy with governance and responsible practices.
- Activate across the enterprise: predictive insights, CX transformation, fraud, compliance, and more.
Your Instructor

Serge Billiouw — Strategic Data & AI Advisor
25+ years helping organizations unlock the value of Data & AI. Former VP of Data & Analytics, Chief Data Officer, and Adjunct Professor. Recognized LinkedIn Top AI Voice and trusted advisor to Fortune 500 leaders.
Known for clarity, real‑world examples, and executive relevance—equipping leadership teams to make smarter, faster decisions in the age of AI.
Bring this workshop to your leadership team
Reach out to me if you want more information about organizing a workshop