MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services

Most data science projects fail. There are various reasons why, but one of the primary reasons is the challenge of deployment. One piece to the deployment puzzle is understanding how to automate your pipeline’s functions and continuously optimize its performance, which is why we developed this course – MLOps2 (AWS): Data Pipeline Automation & Optimization using Amazon Web Services.

On-Ramp to AP* Physics C: Mechanics

This course will help the students who have taken intro-level high-school physics to get ready for more advanced courses including AP Physics C: Mechanics.

Leveraging Urban Mobility Disruptions to Create Better Cities

This course aims to bridge the knowledge gap between the dynamic on-the-ground reality brought on by technology innovation, academic content, and practice needed to respond systemically and more equitably to global urban challenges through new mobility disruptions.

Getting Started with Google Kubernetes Engine

This class is intended for the following participants: – Application developers, Cloud Solutions Architects, DevOps Engineers, IT managers. – Individuals using Google Cloud to create new solutions or to integrate existing systems, application environments, and infrastructure with Google Cloud. – Executives and business decision makers evaluating the potential of GKE to address business needs.

Robotics

Learn the core techniques for representing robots that perform physical tasks in the real world.