Generative AI for Cloud Architects (Azure/AWS/GCP)

Module 1: Mapping Business Decisions to Data

Learn how organizations connect strategic decisions to relevant data, ensuring insights drive better business outcomes.

Module 2: Creative Problem-Solving with Big Data

Develop a creative mindset to uncover value from available data and identify the best solutions to business challenges.

Module 3: Principles of Experimental Design

Master the fundamentals of designing effective business experiments—identifying performance drivers, forming hypotheses, and testing alternatives.

Module 4: Machine Learning Fundamentals

Understand the intuition behind various machine learning algorithms and assess their strengths, weaknesses, and trade-offs.

Module 5: Causal Analytics for Business Impact

Explore how causal analysis proves business value and learn multiple approaches to uncover cause–effect relationships.

Module 6: Generative AI Essentials

Gain a clear understanding of generative AI—how it works, how it differs from traditional machine learning, and where it can be applied in business.

Module 7: Legal and Ethical Considerations in Data & AI

Examine the ethical challenges and legal frameworks governing the use of data, machine learning, and generative AI.

Module 8: Implementing Business Analytics & AI

Learn strategies to align analytics projects with organizational goals, cultivate a data-driven culture, and overcome adoption challenges.