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.


 
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
               
            
              
            
            
          
              