This course is intended for server administrators who need to ensure the security of WebSphere Application Server and Liberty installations by detecting unresolved security vulnerabilities.

Learn how to start transforming your organization using the principles and practices of DevOps.

Learn about the Magma project, an open source implementation of a mobile network core. Magma supports diverse radio technologies, including LTE, 5G and WiFi, and is particularly relevant for extending network access into remote, sparsely populated areas.

Gain the knowledge and skills necessary to secure the integrity of your software by leveraging the Sigstore toolkit, a free and open source project that offers automated signing and verification across release files, container images, binaries, bill of material manifests, and more.

Don't miss the upcoming Microsoft Azure + AI event on December 8-10, 2020 in Las Vegas, Nevada.

This course will teach you the fundamentals and concepts of Power Automate Desktop and how to use this tool for business process automation.

This course will teach you to carefully test, certify and publish your Amazon Alexa Skills. It also teaches you to manage these custom skills once published, including the ability to monitor skills for areas of improvement.

Don't miss the upcoming Microsoft Azure + AI event on December 8-10, 2020 in Las Vegas, Nevada.

This course will teach you the basics of workflows and Robotic Process Automation (RPA).

This course will teach you the concept of Robotic Process Automation and how it can be useful to you in your business. In addition, it will give you the knowledge of how to construct RPA processes using a tool called Power Automate.

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 (Azure): Data Pipeline Automation & Optimization using Microsoft Azure Machine Learning