AI Data Center Technician
Master the skills to manage and optimize AI-powered data centers. This 10-12 weeks program blends field engineering, AI systems, diagnostics, and predictive maintenance for modern data center operations.
160 Hrs
Course Duration
Hybird
Course Type
January 2026
Course Start
Power the future of data centers with AI and field
service mastery.
Designed for technical professionals entering or growing within the data center operations field, this program focuses on how AI is transforming field service engineering. Over eight weeks, learners will gain foundational AI knowledge, hands-on troubleshooting techniques, and specialized tools to maintain and enhance AI-powered data centers.
120 Hours of Applied
Training
Blending theory, field skills, and AI system integration.
Real World Tools &
Projects
Learn with TensorFlow, PyTorch, dashboards, and DC diagnostics.
Capstone-Driven
Learning
Solve practical AI DC problems in your final project.
AI Data Center Technician
Program Overview
The AI DC Field Service Engineering Program prepares learners to work at the intersection of artificial intelligence and modern data infrastructure. With increasing automation in data centers, the need for AI-aware field engineers is growing. This course provides the technical and operational know-how needed to thrive in this evolving domain.
Key Points
- Perfect for technicians, engineers, and IT professionals seeking AI + DC operations knowledge.
- Combines infrastructure understanding with AI deployment and optimization.
- Includes cybersecurity, predictive maintenance, and real-world case studies.
Course Features
Total Hours:
160
Total Weeks:
10-12
Skill Level:
Intermediate
Note
AI-integrated field service knowledge and a capstone portfolio project
Curriculum
Foundations of AI Data Centers (40 Hours): Establish a foundational understanding of AI-driven data centers, their hardware components, networking, and the technician’s operational role
Systems Administration & Automation (40 Hours) Build skills in Linux, Windows Server, automation, and scripting for managing AI nodes and virtualized infrastructure.
AI Infrastructure & MLOps (44 Hours): Understand and manage AI workloads, GPU optimization, MLOps workflows, and containerized environments.
Cloud, Security & Professional Practice (36 Hours) Apply skills in cloud deployment, troubleshooting, and customer-facing operations.
Course Features
Total Hours:
160
Total Weeks:
10-12
Skill Level:
Intermediate
Note
AI-integrated field service knowledge and a capstone portfolio project
Industry Certification
- ETAIN009: Data Cabling Installer Certification (DCIC)
Earn industry validation of your ability to maintain, optimize, and troubleshoot AI-powered data centers—positioning you for key roles in smart infrastructure and operations.
Course Features
Total Hours:
160
Total Weeks:
10-12
Skill Level:
Intermediate
Note
AI-integrated field service knowledge and a capstone portfolio project
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