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

Master the fundamentals of enterprise integration with this comprehensive course.

Eliminate the all-hands-on-deck manual process at the end of the development cycle

This course provides an overview of WebSphere Hybrid Edition - a lean, economical solution that enables clients to optimize WebSphere applications for immediate gains and higher, near-term value.

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 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.