AI Infrastructure Track
The AI Infrastructure Track prepares students to design, build, and manage the modern systems behind AI deployment. Across three hands-on courses, students progress from foundational networking to full cloud ‑native‑ orchestration, gaining the practical skills needed to support real-world AI workloads.
Course 3: AI Infrastructure & Security
Course 3 of 3
Orchestrate the systems that power AI. Take your skills to the next level by building a multi-node Kubernetes cluster capable of running GPU accelerated AI workloads. You’ll master cloud native security, resilient storage, and professional observability tools—then integrate actual GPU hardware into a hybrid cluster. This is your launchpad into AI operations, DevOps, and scalable infrastructure engineering.
Ideal for: System Administrators and DevOps engineers looking to specialize in Kubernetes and cloud-native technologies. Students who have completed Courses 1 and 2 and are ready to tackle the challenges of orchestrating a production-like environment. IT professionals wanting to gain the in-demand skills of AI infrastructure management and GPU orchestration.
Prerequisite Skills:
This is the advanced culmination of the Infrastructure track. To ensure success, students should have:
Completion of Courses 1 and 2 or equivalent combined knowledge:
From Course 1, AI Networking Fundamentals: Solid networking fundamentals, including subnet design, routing, DNS/DHCP configuration, firewall rules, NAT, and network troubleshooting.
From Course 2, Linux and Cloud Foundations: Proficiency in Linux command-line administration, user and permission management, systemd service management, shell scripting, and virtual machine management.
Basic Containerization Knowledge:
Conceptual understanding of what containers are and how they differ from VMs
Familiarity with basic Docker commands (docker run, docker build, docker ps) is helpful but not strictly required
Understanding of Linux Services and Networking:
Experience installing and configuring services on Linux (web servers, databases)
Ability to configure network interfaces and troubleshoot connectivity issues on Linux servers
Familiarity with Git and Version Control:
Understanding of basic Git workflows (clone, commit, push) for managing configuration files
Security Awareness:
Understanding of basic security principles (authentication, authorization, least privilege)
Familiarity with SSH key-based authentication
