Master modern DevOps tools for cloud deployment, automation, and infrastructure as code.
As more and more industries use DevOps practices and technologies, the demand for skilled DevOp technologists is skyrocketing. This course builds on the DevOps training in our introductory course, expanding on the methodologies and techniques necessary for students to understand real-world DevOps-based deployments. Through examples and hands-on assignments, students explore core DevOps concepts, container orchestration, cloud-based deployments, automated deployment tools, and system monitoring. Students also work with networking, Bash shell and Python scripting, package installation/management, Linux server configuration, and automated source code control mechanisms.
Students must understand the topics covered in "DevOp Technologies" or have professional-level experience deploying systems in a data center or cloud and programming experience or a course in Bash scripting or Python.
Additional Information
AI* - This course utilizes AI-based programming tools throughout the curriculum to assist with coding, debugging, test generation, and refactoring, helping students work more efficiently while applying core development concepts.
