Level: Beginner • Machine Learning Fundamentals
Course Description
A jargon-free walkthrough of how machine learning actually works, so business teams can engage confidently with data science and technical stakeholders.
Learning Outcomes
- Explain supervised vs. unsupervised learning in plain terms
- Recognize where ML fits (and where it doesn’t) in a business problem
- Ask better questions of technical/data teams
Course Outline
- Module 1: How Machines “Learn” — Core Concepts Without the Math
- Module 2: Common ML Use Cases Across Industries
- Module 3: Where ML Fits (and Fails) in Real Business Problems
- Module 4: Working Effectively With Data Science Teams
Format:
- Half-day workshop, onsite or virtual
Customization note:
- Examples drawn from your sector — e.g., churn prediction for telcos, fraud detection for finance, demand forecasting for retail.
Related courses:
- AI for Smarter Business Decisions, AI Unlocked, Build Your Own Enterprise AI Assistant
