Modules
Your Roadmap to AI Fluency
This course is your competitive edge in the AI revolution. AI fluency opens doors to conversations, opportunities and relationships previously out of reach.
Module 1: The Big Picture
Timeless Principles and Foundations
Gain the clarity to understand what AI actually is and what it isn’t. Build the foundations you need to cut through noise, separate science from science fiction, and confidently distinguish real AI capabilities from marketing hype.
What you’ll learn
The essential knowledge every business professional must know about AI
The critical differences between software and AI
Why AI is not “taking over the world,” but is reshaping it
How AI augments human capabilities instead of replacing them
A practical look at AI’s risks and rewards
Skills you’ll acquire
COMMUNICATE
AI’s potential and limitations to stakeholders
IDENTIFY
Genuine AI opportunities versus simple automation
SEPARATE
Reality from hype in strategy meetings
Module 2: The Data
Digitizing Human Experience: How Data Powers AI
Understand why data is the fuel of AI and how it determines success or failure. Learn to ask the right questions about data readiness and identify risks and opportunities in your organization’s information systems.
Why data defines AI’s value and limitations
The origins of data: ecosystems, sources, and flows
Structured vs. unstructured data, metadata, and why format matters
Preparing and managing data for AI applications
The full data lifecycle: from collection to insights to decisions
What you’ll learn
Skills you’ll acquire
EVALUATE
Data readiness in AI proposals and new vendor requests.
DISCUSS
Data requirements in planning meetings.
SPOT
Risks and opportunities in your organization’s data strategy.
Module 3: The Processing
The Model: Where the “Thinking” Happens
Understand how models are trained, evaluated, and applied so you can distinguish proposals and internal initiatives with realism and authority.
What you’ll learn
How AI finds patterns in complex data
Principles of recognition and reasoning
The process of training AI systems
How to evaluate AI performance with meaningful metrics
Why AI is not magic but built on understandable processes
Skills you’ll acquire
IDENTIFY
Essential system requirements for AI projects.
SET
Realistic expectations for AI KPIs and ROI.
EXPLAIN
AI processes in plain language to any audience.
Module 4: The Output
The Products of AI: Where Real Business Value is Created
Learn where and how AI delivers real business value. Understand how to connect business needs to the right AI solutions, evaluate ROI, and identify competitive opportunities.
What you’ll learn
How AI transforms data into actionable intelligence
Forecasting and predictive analytics for decision-making
Generative AI and content creation capabilities
Process automation and optimization
Practical frameworks for evaluating AI impact
Skills you’ll acquire
LEAD
Conversations about AI business applications and ROI
ASSESS
AI’s true potential in your industry.
IDENTIFY
Opportunities for competitive advantage and market leadership.
Module 5: The Types
Compare and evaluate offerings across domains.
Gain fluency in the major types of AI and their applications, limitations, and strategic value. Learn how to choose the right technology for the right problem.
Natural Language Processing: How AI understands language
Computer Vision: How machines interpret visuals
Robotics: Physical applications and constraint
Generative AI: Producing content and new ideas
Agentic AI: Autonomous systems that act independently
What you’ll learn
Skills you’ll acquire
SELECT
The right type of AI for specific business challenges
COMPARE
And evaluate vendor offerings across domains.
DESIGN
AI strategies that integrate multiple categories.
Module 6: AI in Business
Putting AI Into Practice
Pull everything together and learn how to evaluate, implement, and govern AI responsibly and position your team as credible leaders in the age of AI.
How to define the value you want from AI
Maintenance, monitoring, and ongoing quality control
Governance and responsible adoption practices
Why AI is always a human story and how to keep people at the center
Future-proof planning: preparing for what’s next
What you’ll learn
Skills you’ll acquire
CREATE
AI strategies that balance innovation with values.
BUILD
Governance and risk frameworks for responsible use.
MENTOR
Colleagues in AI concepts and ethical implementation.