AI for IT Networking
About This Course
AI for IT Networking equips participants with practical skills to use artificial intelligence to design, configure, monitor, and troubleshoot modern network environments. Learners will develop a strong foundation in networking concepts, including local and wide area networks, wireless connectivity, remote access, cloud networking, virtualization, and IPv4 and IPv6 protocols.
Through hands-on activities, participants will use AI tools to interpret network requirements, generate configuration recommendations, analyze device settings, create network diagrams, and produce technical documentation. They will configure and manage routers, switches, servers, endpoints, and wireless devices while applying appropriate network protocols and access controls.
The course also explores AI-assisted network monitoring and troubleshooting. Participants will learn to analyze logs, identify connectivity and performance issues, diagnose possible root causes, and generate step-by-step remediation plans. Emphasis is placed on validating AI recommendations, protecting sensitive configuration data, and maintaining human oversight. By the end of the course, learners will be able to combine networking knowledge with AI-assisted workflows to improve network reliability, performance, documentation, and operational efficiency.
What You'll Learn
LO1: Configure servers and devices using basic network configuration techniques in accordance to organizational specifications.
LO2: Support user network access in accordance to organizational specifications.
LO3: Operate network management tools effectively to ensure optimal network performance.
LO4: Report network performance and status in alignment with established protocols.
LO5: Perform basic network tests to verify reliability and compliance in accordance organizational requirements.
Topics Covered:
Topic 1: AI-Assisted Server and Network Device Configuration
Topic 2: AI-Powered User Network Access and Connectivity Support
Topic 3: AI-Enhanced Network Monitoring and Performance Management
Topic 4: AI-Assisted Network Performance Analysis and Reporting
Topic 5: AI-Powered Network Testing, Reliability and Compliance Validation
Entry Requirements
Knowledge and Skills
• Able to operate computer functions with minimum Computer Literacy Level 2 based on ICAS Computer Skills Assessment Framework
• Minimum 3 GCE ‘O’ Levels Passes including English or WPL Level 5 (Average of Reading, Listening, Speaking & Writing Scores)
Attitude
• Positive Learning Attitude
• Enthusiastic Learner
Experience
• Minimum of 1 year of working experience.
Target Year Group : 21-65 years old