AI+ Network Practitioner™

Formerly known as AI+ Network™ <br> <br> Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency

Certificate Code: AT-510

About This Course

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 Overview

Included

Instructor-led OR Self-paced course + Official exam + Digital badge

Duration

Instructor-Led: 5 days (live or virtual)
Self-Paced: 40 hours of content

Prerequisites

Basic networking, Python, AI/ML fundamentals, and familiarity with network management tools.

Exam Format

50 questions, 70% passing, 90 minutes, online proctored exam

Course Modules

Module 1 Networking Foundations

You will learn network types, topologies, networking components, protocols, IP addressing, VLANs, wireless standards, and essential network security concepts.

Module 2 Advanced Networking Technologies

You will explore VLANs, SDN, NFV, 5G, IoT, edge computing, advanced routing, data centers, and cloud networking technologies.

Module 3 AI in Networking

You will learn AI and ML applications in networking, including traffic analysis, network optimization, anomaly detection, automation, and predictive maintenance.

Module 4 Network Automation and Orchestration

You will explore automation tools, Python scripting, APIs, AI-driven orchestration, intent-based networking, Kubernetes, and zero trust architecture.

Module 5 AI-Enhanced Network Security

You will learn AI-based threat detection, incident response, secure network design, SIEM enhancement, predictive analytics, and AI security considerations.

Module 6 Practical Labs and Hands-On Projects

You will gain practical experience using simulation tools, AI-driven network automation, threat detection models, security implementation, and AI-enhanced network design projects.