BUSINESS INTELLIGENCE WITH AI COURSE

• Learn how AI technologies support data-informed decision-making across industries
• Apply responsible and ethical AI practices including fairness, accountability, and transparency
• Explore fundamentals of machine learning and predictive modeling for business scenarios
• Optimize AI models for performance and fairness using key performance metrics
• Collect, structure, and prepare data for analysis and modeling

• Clean and transform datasets through preparation and validation processes
• Engineer features and apply encoding techniques to improve model accuracy and interpretability
• Apply statistical methods including correlations and regression to identify patterns and trends in data

• Explore machine learning algorithms and use cases to understand how different approaches generate insights
• Build and evaluate supervised learning models and interpret their outputs
• Apply unsupervised learning and clustering methods to uncover patterns and visualize relationships within data

• Evaluate model performance and identify overfitting, bias, and fairness challenges
• Design visuals that clearly communicate AI model outputs and performance metrics
• Transform analytical results into clear, persuasive narratives for decision-makers

• Discover how generative AI tools can support analysis, reporting, and storytelling
• Complete a capstone project integrating data preparation, model building, and insight communication

This is an entry-level course. Students should be comfortable using a computer and have an interest in how data and AI are used to make decisions. No coding or technical background is needed.

Admissions requirements and recommended experience are explained in additional detail in the Student Catalog. Our Admissions team can discuss your background and learning goals to advise if this course is a good fit for you.

Key learning outcomes include:

• Explaining how AI and data analytics support product strategy and business decision-making
• Applying ethical and responsible AI principles when interpreting and sharing product data
• Collecting and preparing data to identify trends, patterns, and user insights that inform product decisions
• Using and evaluating simple AI and machine learning tools to generate business insights
• Analyzing product and customer data to identify performance gaps, opportunities, and risks
• Creating and interpreting dashboards and visual reports that communicate key metrics and insights
• Developing and presenting compelling data stories that support stakeholder alignment and product strategy
• Integrating AI-driven insights into product management workflows to enhance decision-making and innovation

Our Admissions team is here to help and can advise whether this course is right for you and your learning goals. You can also:

• Attend an info session online
• Explore your financing options
• Apply to enroll in the course.*

*Course modality options vary by location, pending market availability and eligibility. Please contact our Admissions team to discuss course eligibility and what version is available in your location.