Securing hybrid cloud environments is an important part of most cloud projects today. This course will teach you the skills you will need to master in order to be a valuable member of a hybrid cloud security team.

This course will teach you the fundamentals of Spinnaker, such as installation and configuration, use, operation, and troubleshooting.

This course explores the fundamentals and technical concepts within the SRE industry.

This course covers important components of the Continuous Delivery Pipeline, including SRE responsibilities, change management components and how to troubleshoot.

This course introduces Site Reliability Engineering (SRE) as well as key tenets of SRE and how to promote an SRE culture for maximum effectiveness.

While going through the process of reinventing H-E-B's curbside and home delivery fulfillment systems, we had to spend significant effort to stabilize and reinforce the existing mission-critical systems.

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 data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (AWS) - Deploying AI & ML Models in Production 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 data engineers can effectively work with data scientists to monitor and iterate on model performance, which is why we developed this course: MLOps1 (GCP) - Deploying AI & ML Models in Production using Google Cloud Platform

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.

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 (GCP): Data Pipeline Automation & Optimization using Google Cloud Platform.

This course introduces the storage options available for IBM Cloud for VMware Solutions. You will recognize the different workloads, and which tiers they belong to.

This course includes information on storage considerations for different Infrastructure-as-a-Service (IaaS) environments.