AI systems are machine-based systems that infer from inputs to generate outputs such as predictions, recommendations, content, or decisions — often influencing real or virtual environments. In this domain, you’ll build a clear understanding of how these systems work, where they add value, and how to manage risks and trust considerations across the lifecycle.

• AI Foundations — Build core literacy in modern AI systems and practical use cases.
• Automation & Productivity — Learn workflow automation and operational improvement thinking.
• Applied AI Building — Move from concepts to prototypes with real-world evaluation habits.
• Robotics & Smart Systems — Understand the components behind autonomous and sensor-based systems.