Artificial intelligence, business analytics, and cloud computing are transforming how organizations operate, compete, and make decisions. This specialization teaches you how businesses use analytics, AI, machine learning, data-driven decision-making, and cloud computing technologies to solve problems, improve performance, and drive smarter outcomes.
You'll start by learning the business analytics process, exploring descriptive, predictive, and prescriptive analytics along with tools such as online analytical processing (OLAP), dashboards, and key performance indicators (KPIs) used to transform data into business insights. You'll then examine artificial intelligence and machine learning, learning how neural networks, generative AI, and tools like ChatGPT power applications ranging from fraud detection to recommendation engines.
Finally, you'll explore how organizations plan, justify, and acquire IT applications, walk through the systems development life cycle, and learn how cloud computing, including IaaS, PaaS, SaaS, and leading cloud platforms, supports today's digital businesses.
By the end of this specialization, you'll be able to evaluate analytics, AI, and cloud computing opportunities, communicate effectively with business and technology stakeholders, and apply data-informed thinking to real business decisions. No coding or technical background required.
Applied Learning Project
AI, analytics, and cloud technologies aren't futuristic concepts anymore. They're already reshaping how organizations make decisions, automate work, and compete. The pace of change is only accelerating. Across six interactive dialogues, you'll turn these technologies from buzzwords into practical business knowledge. You'll apply Herbert Simon's intelligence-design-choice framework to a real decision scenario and weigh what predictive analytics can, and can't, tell you before you act. You'll then distinguish the five flavors of machine learning and trace the math powering a neural network from input to output. Finally, you'll walk each stage of the systems development life cycle and weigh the real tradeoffs of moving to the cloud. Every Dialogue asks you to go beyond definitions: apply frameworks to authentic scenarios, defend your reasoning, and build the technical fluency today's data-driven organizations demand.
