AI and data skills are among the most in-demand competencies in today's job market, with data analysts and decision intelligence professionals commanding competitive salaries across industries. This program equips you with the end-to-end skills to turn complex data into strategic business decisions using AI and machine learning techniques. Designed for working professionals and career changers with basic Python and statistics knowledge, this certificate takes you from decision theory fundamentals to advanced AI deployment. You will build expertise across predictive modeling, optimization, causal inference, generative AI, and responsible AI practices — the exact skills employers seek in data analyst, decision intelligence analyst, and AI/ML analyst roles. Across 5 courses, you will gain hands-on experience with industry-standard tools including Python (scikit-learn, XGBoost, Keras, SHAP), SQL, Tableau, Apache Kafka, Spark, and DataRobot Decision Intelligence. You will learn to build predictive models, design A/B experiments, develop LLM-powered pipelines, and deploy real-time decision systems — all while ensuring fairness, privacy, and regulatory compliance. What sets this program apart is its unique blend of business decision science and technical AI depth, preparing you not just to build models, but to drive measurable business outcomes with them. To succeed, learners should have basic Python proficiency, spreadsheet skills, and introductory statistics knowledge.
What you'll learn
build predictive models using machine learning
design A/B experiments to test hypotheses
develop and implement LLM-powered pipelines
deploy real-time decision systems
apply responsible AI practices in decision-making
Course objectives
equip learners with end-to-end data skills
blend business decision science with technical AI expertise
ensure learners can drive measurable business outcomes