This certification validates professional knowledge and competency in the combination of artificial intelligence and current networking technologies. The exam assesses understanding of fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Key focus areas include AI-powered network automation, orchestration, and security upgrades. The exam includes scenario-based questions covering emerging developments in AI-enhanced networking, validating candidate readiness for leadership roles in this rapidly evolving sector.
Our training approach is human‑centred and outcomes‑driven. We focus on what learners can apply confidently.
No learning outcomes available for this course.
Provide technical support by troubleshooting network issues and ensuring reliable connectivity across enterprise environments.
Assist in designing, configuring, and maintaining network infrastructure to support secure and efficient operations.
Monitor network performance, detect outages, and respond to incidents to ensure continuous network availability.
Manage network devices, user access, and system performance while maintaining secure and stable network operations.
Implement automation tools and AI-driven workflows to simplify network management and improve operational efficiency.
Protect network infrastructure by identifying vulnerabilities, monitoring threats, and implementing security controls.
90 minutes
50 multiple-choice/multiple-response questions
| Networking Foundations | 13% |
| Advanced Networking Technologies | 16% |
| AI in Networking | 16% |
| Network Automation and Orchestration | 16% |
| AI-Enhanced Network Security | 13% |
| Practical Labs and Hands-On Projects | 13% |
| Emerging Trends and Future Directions | 13% |
Ansible
Puppet
Chef
REST APIs
NETCONF
Kubernetes
OpenStack
GNS3
Cisco Packet Tracer
VMware