AI+ Network Practitioner™

$495.00
Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency

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.

Learning Modules

Module 1: Enterprise Networking Foundations & AI Workload Impact

  1. 1.1 Basic Networking Concepts
  2. 1.2 Network Infrastructure and Design
  3. 1.3 Introduction to Network Security
  4. 1.4 AI Workload Networking Overview

Module 2: Advanced Routing, Switching, and Data Center/AI Fabric Networking

  1. 2.1 Advanced Routing and Switching
  2. 2.2 Data Center and AI Infrastructure Networking
  3. 2.3 High-Performance AI Fabric Considerations
  4. 2.4 Quality of Service (QoS) for Application and AI Workloads

Module 3: Cloud Networking, SASE, and Hybrid Connectivity

  1. 3.1 Network Virtualization and Cloud Networking Models
  2. 3.2 SD-WAN and Hybrid Multi-Cloud Connectivity
  3. 3.3 SASE and SSE with AI

Module 4: Wi-Fi 7, Edge AI & IoT Networking

  1. 4.1 Wi-Fi 7 and AI-Driven RF Optimization
  2. 4.2 Edge Computing, Fog Networking and IoT Models
  3. 4.3 Edge AI and Small Language Models
  4. 4.4 Wi-Fi 7 + Edge AI Use Cases and Architecture

Module 5: AI & Machine Learning Foundations for Network Engineers

  1. 5.1 AI and Machine Learning Fundamentals
  2. 5.2 AI-Driven Network Optimization
  3. 5.3 Operational Limits of AI Recommendations
  4. 5.4 Predictive Network Maintenance

Module 6: Generative AI, RAG, and Prompt Engineering for Operations

  1. 6.1 Generative AI and LLM Concepts for Network Operations
  2. 6.2 RAG (Retrieval-Augmented Generation) for Network Knowledge
  3. 6.3 Prompt Engineering for Network Engineers

Module 7: Network Automation, IaC, and Agentic AI Workflows

  1. 7.1 Fundamentals of Network Automation & Infrastructure as Code (IaC)
  2. 7.2 Network APIs and Programmability
  3. 7.3 Agentic AI, Function Calling, and MCP
  4. 7.4 ChatOps and Operational Workflows
  5. 7.5 Use-Cases and Case Studies

Module 8: AI-Enhanced Network Security and Zero Trust

  1. 8.1 AI-Enhanced Threat Detection
  2. 8.2 Secure Network Design and Zero Trust
  3. 8.3 SIEM, SOC, and AI-Assisted Security Operations
  4. 8.4 Adversarial AI and AI Security Risks
  5. 8.5 Use-Cases and Case Studies

Module 9: Modern Observability: eBPF, OpenTelemetry, and AIOps

  1. 9.1 Modern Observability Foundations (Metrics, Logs, and Traces)
  2. 9.2 eBPF for Deep Network Visibility
  3. 9.3 OpenTelemetry and Streaming Telemetry Standards
  4. 9.4 AIOps: Alert Correlation, Noise Reduction, and Root Cause Support
  5. 9.5 Use-Cases and Case Studies

Module 10: AI Governance, Responsible AI, and Sustainable Networking

  1. 10.1 AI Governance and Responsible Network Operations
  2. 10.2 Privacy, Data Handling, and Bias in Network AI
  3. 10.3 Sustainable/Green Networking with AI
  4. 10.4 Future Network Operations
  5. 10.5 Use-Cases and Case Studies

Module 11: Capstone Project - End-to-End AI Network Operations

  1. 11.1 Capstone Objective
  2. 11.2 Capstone Scenario

Optional Module: Optional Module: AI Agents For Network

  1. 1.1 What Are AI Agents
  2. 1.2 Applications and Trends of AI Agents in Network Intelligence
  3. 1.3 How Does an AI Agent Work
  4. 1.4 Characteristics of AI Agents
  5. 1.5 Types of AI Agents
Why This Certification Matters

Comprehensive Knowledge

Covers fundamental networking concepts and advanced AI-driven technologies like SDN and NFV.

AI-Powered Efficiency

Exam assesses knowledge of how AI can optimize network performance, automation, and security

Practical Application Assessment

Exam includes scenario-based questions for real-world application of AI in networking.

Future-Ready Skills

Validates competency to adapt to the rapidly evolving AI-enhanced networking landscape.

Leadership Opportunities

Validates competency for leadership roles in the AI and networking fields.

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