AI+ Network PractitionerTM
A certification that validates skills in applying AI to modern networking, including automation, security, and performance optimization.
Validate Your Networking Expertise and Harness AI for Automation, Security, and Efficiency
- Comprehensive Knowledge:
Covers core networking fundamentals plus advanced AI-driven technologies such as SDN and NFV - AI-Powered Efficiency:
Shows how AI can optimize network performance, automation, and security - Practical Application:
Scenario-based exam questions and projects apply AI to real-world networking problems - Future-Ready Skills:
Prepares you to adapt to the fast-changing AI-enhanced networking landscape - Leadership Pathway:
Builds the competency needed for leadership roles in AI and networking
Prerequisites
- Networking fundamentals, including routing, switching, IP addressing, VLANs, and enterprise architectures
- Basic AI and ML concepts, including supervised and unsupervised learning and anomaly detection
- Basic Python, scripting, APIs, and automation concepts
- Awareness of cloud, virtualization, data center, wireless, edge, IoT, and hybrid connectivity
- Understanding of monitoring, telemetry, troubleshooting, access control, and human oversight of AI decisions
The AI+ Network Practitioner™ self-paced course includes:
1. 40 hours of on-demand videos, an e-book, and podcasts.
2. Modular quizzes to help learners monitor their progress.
The course allows learners to study at their own pace. After completing the course, learners can take the certification exam online through a secure remote-proctored system.
Why This Certification Matters?
- Comprehensive Knowledge: Covers fundamental networking and advanced AI-driven technologies like SDN and NFV.
- AI-Powered Efficiency: Assesses how AI can optimize network performance, automation, and security.
- Practical Application Assessment: Includes scenario-based questions for real-world AI networking use.
- Future-Ready Skills: Validates competency for the rapidly evolving AI-enhanced networking landscape.
- Leadership Opportunities: Validates competency for leadership roles in AI and networking.
What You'll Learn?
1.1 Basic Networking Concepts
1.2 Network Infrastructure and Design
1.3 Introduction to Network Security
1.4 AI Workload Networking Overview
2.1 Advanced Routing and Switching
2.2 Data Center and AI Infrastructure Networking
2.3 High-Performance AI Fabric Considerations
2.4 Quality of Service (QoS) for Application and AI Workloads
3.1 Network Virtualization and Cloud Networking Models
3.2 SD-WAN and Hybrid Multi-Cloud Connectivity
3.3 SASE and SSE with AI
4.1 Wi-Fi 7 and AI-Driven RF Optimization
4.2 Edge Computing, Fog Networking and IoT Models
4.3 Edge AI and Small Language Models
4.4 Wi-Fi 7 + Edge AI Use Cases and Architecture
5.1 AI and Machine Learning Fundamentals
5.2 AI-Driven Network Optimization
5.3 Operational Limits of AI Recommendations
5.4 Predictive Network Maintenance
6.1 Generative AI and LLM Concepts for Network Operations
6.2 RAG (Retrieval-Augmented Generation) for Network Knowledge
6.3 Prompt Engineering for Network Engineers
7.1 Fundamentals of Network Automation & Infrastructure as Code (IaC)
7.2 Network APIs and Programmability
7.3 Agentic AI, Function Calling, and MCP
7.4 ChatOps and Operational Workflows
7.5 Use-Cases and Case Studies
8.1 AI-Enhanced Threat Detection
8.2 Secure Network Design and Zero Trust
8.3 SIEM, SOC, and AI-Assisted Security Operations
8.4 Adversarial AI and AI Security Risks
8.5 Use-Cases and Case Studies
9.1 Modern Observability Foundations (Metrics, Logs, and Traces)
9.2 eBPF for Deep Network Visibility
9.3 OpenTelemetry and Streaming Telemetry Standards
9.4 AIOps: Alert Correlation, Noise Reduction, and Root Cause Support
9.5 Use-Cases and Case Studies
10.1 AI Governance and Responsible Network Operations
10.2 Privacy, Data Handling, and Bias in Network AI
10.3 Sustainable/Green Networking with AI
10.4 Future Network Operations
10.5 Use-Cases and Case Studies
11.1 Capstone Objective
11.2 Capstone Scenario
Job Roles & Industry Outlook
Network Support Specialist
Troubleshoots network issues and ensures reliable connectivity across enterprise environments.
Junior Network Engineer
Assists in designing, configuring, and maintaining secure and efficient network infrastructure.
Network Operations Center (NOC) Analyst
Monitors performance, detects outages, and responds to incidents to keep networks available.
Network Administrator
Manages network devices, user access, and performance while keeping operations secure and stable.
Network Automation Associate
Implements automation tools and AI-driven workflows to simplify management and improve efficiency.
Network Security Analyst
Identifies vulnerabilities, monitors threats, and implements security controls to protect infrastructure.
Skills You’ll Gain
Tools You’ll Master
Exam Details
Duration
Passing Score
Format
Delivery Method
Exam Blueprint
What’s Included
(One-Year Subscription + All Updates)
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
- Access for Tablet & Phone