For Experienced Professionals
Cloud/AI Solutions Architect
Cloud and infrastructure skills are the foundation — this program builds the MLOps layer on top of them, taking cloud/DevOps professionals into Solutions Architect roles focused on production AI.
Apply / book a callCurriculum
Cloud fundamentals
Core cloud infrastructure and networking concepts that everything else in this track depends on.
MLOps tooling
Hands-on with SageMaker, Kubeflow, and MLflow — the tooling that runs ML in production, not just in a notebook.
Production AI systems
Deploying, monitoring, and scaling AI/ML systems in real environments end to end.
From DevOps to Solutions Architect
If you already carry cloud/infra experience, you're not starting over — you're extending it. This track is built specifically for that migration: recognizing what already transfers and filling in the MLOps-specific gap.
“I'd been doing DevOps for years. This program gave me the MLOps vocabulary and real projects to make the architect pivot credible.”
Cloud/AI Solutions Architect — name pending alumni consent
Interview prep, built in
System design for cloud/ML infrastructure and architecture-round practice are part of the program, not a separate purchase.
Pricing
Guidance-based pricing — talk to us.
This is a Program shaped around your background, not a fixed shopping-cart tier. We'll walk through fit and cost on a call.