The 28-week program includes the following modules:

• Computer Science/Networking /Programming Fundamentals – Build the base to understand more advanced DevOps concepts. We cover the Linux operating system, how data flows in and out of a network, and how to read/write Python to accomplish tasks.
• Key DevOps tools – Become familiar with in-demand DevOps tools and technologies, including Terraform, Ansible, and GitHub Actions, along with foundational skills in Docker, SQL/NoSQL databases, and full-stack cloud architecture.
• Databases/Artifacts /Build Tools – Master different types of databases and their use cases, including key/value, document, and particularly relational databases in the form of SQL to query databases. They will also learn to package applications into artifacts using the specific build tools for each framework and pull/push the artifacts to an artifact repository manager.
• Earn the AWS AI Practitioner Certification – Validate your ability to integrate and manage AI-driven solutions in real-world environments. 
• Infrastructure as Code/Containerization – Discover scripting and automating the creation of an application’s infrastructure using Terraform. Explore the benefits of containerization to simplify publishing applications as artifacts using Docker, orchestrating containers using Kubernetes (K8s), and utilizing AWS’s managed K8s service EKS.
• Configuration Management & Monitoring – Learn how to manage the configuration of IaC scripts using Ansible and create monitors and alerts for applications using Prometheus.

Training on the use of Artificial Intelligence (AI) is integrated throughout our curriculum, ensuring that students understand its importance alongside core software engineering skills. The training addresses prompt engineering and the judicious use of AI tools, balancing efficiency with a strong understanding of fundamentals.