This Learning Plan is designed to help Data Scientists and Developers integrate machine learning (ML) and artificial intelligence (AI) into tools and applications. The digital training included in this Learning Plan will expose you to the broadest and deepest set of machine learning services and supporting cloud infrastructure.

I learned to write tests before implementing features, ensuring higher code quality and reducing rework. The course covered best practices in refactoring, maintaining test coverage, and integrating continuous testing into the development pipeline, ultimately making applications more robust and reliable.

Learned the essentials of Graph Neural Networks (GNNs), including graph representation, message passing, and applications in social networks and recommendation systems. Focused on both theory and hands-on implementation for building and training GNN models.

This program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You ll also learn to use Git and GitHub troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud