Learn at your own pace, with built-in flexibility
Each course is offered independently, so you can start with a single topic or progress through all four courses in this discipline over time. Take courses in the order that fits your interests, background, and schedule, or complete a full pathway to build a cohesive understanding of how AI systems are developed and maintained.
Curriculum designed for today’s AI systems landscape
This pathway reflects how modern organizations build and operate AI systems in real-world environments. You’ll work across applied machine learning, data engineering, MLOps, and systems reliability, using current tools, platforms, and workflows that support scalable, production-grade AI development.
Applied learning through hands-on practice
Each course balances instruction with active learning. You’ll spend a significant portion of time working through practical exercises and projects that reinforce core machine learning concepts, data pipelines, deployment workflows, and operational practices. This hands-on structure supports deeper engagement with the tools and processes used to build, deploy, and maintain AI systems.