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AI+ Network Practitioner™
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.
Certificate Code
AT-510
Exam Format
AI-Driven Remote Exam Proctoring
Course Overview
Important details and certification information
Instructor-led OR Self-paced course + Official exam + Digital badge
Instructor-Led: 3 Days (live or virtual)
Basic networking, Python, AI/ML fundamentals, and familiarity with network management tools.
50 questions, 70% passing, 90 minutes, online proctored exam
Certification Modules
- You will learn network types, topologies, networking components, protocols, IP addressing, VLANs, wireless standards, and essential network security concepts.
- You will explore VLANs, SDN, NFV, 5G, IoT, edge computing, advanced routing, data centers, and cloud networking technologies.
- You will learn AI and ML applications in networking, including traffic analysis, network optimization, anomaly detection, automation, and predictive maintenance.
- You will explore automation tools, Python scripting, APIs, AI-driven orchestration, intent-based networking, Kubernetes, and zero trust architecture.
- You will learn AI-based threat detection, incident response, secure network design, SIEM enhancement, predictive analytics, and AI security considerations.
- You will gain practical experience using simulation tools, AI-driven network automation, threat detection models, security implementation, and AI-enhanced network design projects.
- You will explore AI in 5G, quantum computing impacts, AI-powered IoT networks, blockchain security, and future career opportunities in AI networking.