This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

An introduction to the fourth industrial revolution, it's major systems and technologies and how new products and services will impact business and society.

This course introduces you to the purpose and benefits of integration and the use of IBM App Connect Enterprise as a Service.

This course introduces IBM App Connect Enterprise V11.

This course introduces IBM Cloud Pak for Network Automation (CP4NA) 2.1.

This course describes the IBM Turbonomic approach and best practices to manage cloud costs.

This introductory course for IBM Turbonomic explains the operating principles and provides a walkthrough of the user interface.

This course is an introduction to Continuous Integration and Continuous Delivery (CI/CD), a DevOps best practice to ensure code quality is achieved. It includes multiple hands-on labs using real-world tools to practice your CI/CD skills.

This course helps you develop the foundational skills required to perform the role of a Database Administrator (DBA) including designing, implementing, securing, maintaining, troubleshooting and automating databases such as MySQL, PostgreSQL and Db2.

Organizations are struggling to implement RPA beyond automating basic tasks – leaving a lot of the potential value of RPA on the table. This course will teach you to successfully implement and get the maximum value out of RPA in your organization.

Implementing Vision Based Deep Learning Solution using Open Source Tools featuring Neethu Elizabeth Simon at the 2019 Women in Analytics Conference.

This is an introduction to the benefits and features of IBM Cloud Pak for AIOps 4.2.