This course introduces you to containers and its emerging ecosystem of related technologies such as Docker, Kubernetes, OpenShift, and Istio. You will not only understand the concepts but also practice hands-on in the cloud.

Learn about the world of data science first-hand from real data scientists.

Learn about the world of data science first-hand from real data scientists.

In this course, you will learn about the fundamentals of generative AI. You will explore the capabilities and applications of generative AI across different domains. You will explore the capabilities and features of common generative AI models and tools.

This is your introduction to the hardware, operating systems, security, and features that make this possible. On successful completion of this course, learners are eligible to earn their Introduction to Enterprise Computing badge.

This course introduces administrative tasks that a system administrator can perform with Linux hosted on IBM Power servers.

In this course, you will learn about prompt engineering to unlock the full potential of generative AI tools like ChatGPT. You will learn the techniques and best practices for writing effective prompts and explore a few common prompt engineering tools.

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in Data Engineering, Data Analytics or Data Science.

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.

This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis.