Online Course – Certified Professional Internship in Building Cloud Computing Solutions at Scale from Duke University

Internship – 4-part course series

With more and more companies leveraging cloud-native software, there is a growing need to find and hire people with the skills needed to build solutions on a variety of cloud platforms. Employers agree: Cloud talent is hard to come by. This specialization is designed to address the cloud talent gap by providing training for anyone interested in developing the practical skills needed for careers that utilize cloud-native technologies.

Courses

• Course 1: Building a basic cloud computing infrastructure, including websites using serverless technology and virtual machines, using DevOps best practices.
• Course 2: Building effective microservices using technologies like Flask and Kubernetes, integrated on a cloud platform: AWS, Azure, or GCP.
• Course 3: Integrating concepts from previous courses to tackle more complex data engineering solutions.
• Course 4: Applying machine learning engineering to build a Flask web application that provides machine learning-based predictions.

Hands-on Learning Project

Each course concludes with a hands-on project where you have the opportunity to create a cloud-native solution. For each cloud solution developed, you will also create a demo video and code repository on GitHub that can be showcased in your digital portfolio to employers. By the end of this internship, you will be well-equipped to start designing data engineering and machine learning solutions for the cloud.