{"id":4523,"date":"2026-09-11T19:27:09","date_gmt":"2026-09-11T17:27:09","guid":{"rendered":"https:\/\/trainitnow.com\/nl\/product\/ai-network-practitioner-elearning\/"},"modified":"2026-10-08T12:28:31","modified_gmt":"2026-10-08T10:28:31","slug":"ai-network-practitioner-elearning","status":"publish","type":"product","link":"https:\/\/trainitnow.com\/nl\/product\/ai-network-practitioner-elearning\/","title":{"rendered":"AI+ Network Practitioner\u2122 eLearning"},"content":{"rendered":"<p><span><strong>Networking Professionals:<\/strong>&nbsp; Looking to advance your skills by integrating AI into<\/span><span>&nbsp;<\/span><span>network design, automation, and security to stay ahead in a competitive field.&nbsp;<\/span><span>&nbsp;<\/span><\/p>\n<p><span><strong>AI Enthusiasts:<\/strong> Interested in applying AI technologies like ML and automation<\/span> Specifically, networking domains.&nbsp;<span>&nbsp;<\/span><\/p>\n<p><span lang=\"EN-US\" xml:lang=\"EN-US\"><span><strong>IT Specialists:<\/strong> Focused on exploring the intersection of cloud computing, IoT, and AI to optimize infrastructure and network performance.&nbsp;<\/span><\/span><span>&nbsp;<\/span><\/p>\n<p><span lang=\"EN-US\" xml:lang=\"EN-US\"><strong><span>Students and Fresh Graduates<\/span><\/strong><span><strong>:<\/strong> Pursuing<\/span><span>&nbsp;careers in AI, cybersecurity, or networking and wanting to gain hands-on experience and credentials to strengthen their professional profile.&nbsp;<\/span><\/span><span>&nbsp;<\/span><\/p>\n<p><span lang=\"EN-US\" xml:lang=\"EN-US\"><span><strong>Cybersecurity Analysts:<\/strong> Seeking to utilize AI-driven solutions for threat detection, network protection, and predictive analytics.<\/span><\/span><span>&nbsp;<\/span><\/p>\n<p><span lang=\"EN-US\" xml:lang=\"EN-US\"><span><strong>System Administrators:<\/strong> Eager to transition into roles involving network automation, orchestration, and AI-based tools for managing complex systems.<\/span><\/span><\/p>\n<p><span lang=\"EN-US\" xml:lang=\"EN-US\"><strong><span>Tech Innovators and Researchers<\/span><\/strong><span><strong>:<\/strong> Interested<\/span><span>&nbsp;in exploring emerging trends like 5G, edge computing, or blockchain in AI-enhanced networking.<\/span><\/span><span>&nbsp;<\/span><\/p>\n<ul>\n<li><strong>Comprehensive Knowledge<\/strong>Covers fundamental networking concepts and advanced AI-driven technologies like SDN and NFV.<\/li>\n<li><strong>AI-Powered Efficiency<\/strong>Exam assesses knowledge of how AI can optimize network performance, automation, and security<\/li>\n<li><strong>Practical Application Assessment<\/strong>Exam includes scenario-based questions for real-world application of AI in networking.<\/li>\n<li><strong>Future-Ready Skills<\/strong>Validates competency to adapt to the rapidly evolving AI-enhanced networking landscape.<\/li>\n<li><strong>Leadership Opportunities<\/strong>Validates competency for leadership roles in the AI and networking fields.<\/li>\n<\/ul>\n<div>Module 1: Enterprise Networking Foundations &amp; AI Workload Impact<\/div>\n<ul>\n<li>1.1 Basic Networking Concepts<\/li>\n<li>1.2 Network Infrastructure and Design<\/li>\n<li>1.3 Introduction to Network Security<\/li>\n<li>1.4 AI Workload Networking Overview<\/li>\n<\/ul>\n<div>Module 2: Advanced Routing, Switching, and Data Center\/AI Fabric Networking<\/div>\n<ul>\n<li>2.1 Advanced Routing and Switching<\/li>\n<li>2.2 Data Center and AI Infrastructure Networking<\/li>\n<li>2.3 High-Performance AI Fabric Considerations<\/li>\n<li>2.4 Quality of Service (QoS) for Application and AI Workloads<\/li>\n<\/ul>\n<div>Module 3: Cloud Networking, SASE, and Hybrid Connectivity<\/div>\n<ul>\n<li>3.1 Network Virtualization and Cloud Networking Models<\/li>\n<li>3.2 SD-WAN and Hybrid Multi-Cloud Connectivity<\/li>\n<li>3.3 SASE and SSE with AI<\/li>\n<\/ul>\n<div>Module 4: Wi-Fi 7, Edge AI &amp; IoT Networking<\/div>\n<ul>\n<li>4.1 Wi-Fi 7 and AI-Driven RF Optimization<\/li>\n<li>4.2 Edge Computing, Fog Networking and IoT Models<\/li>\n<li>4.3 Edge AI and Small Language Models<\/li>\n<li>4.4 Wi-Fi 7 + Edge AI Use Cases and Architecture<\/li>\n<\/ul>\n<div>Module 5: AI &amp; Machine Learning Foundations for Network Engineers<\/div>\n<ul>\n<li>5.1 AI and Machine Learning Fundamentals<\/li>\n<li>5.2 AI-Driven Network Optimization<\/li>\n<li>5.3 Operational Limits of AI Recommendations<\/li>\n<li>5.4 Predictive Network Maintenance<\/li>\n<\/ul>\n<div>Module 6: Generative AI, RAG, and Prompt Engineering for Operations<\/div>\n<ul>\n<li>6.1 Generative AI and LLM Concepts for Network Operations<\/li>\n<li>6.2 RAG (Retrieval-Augmented Generation) for Network Knowledge<\/li>\n<li>6.3 Prompt Engineering for Network Engineers<\/li>\n<\/ul>\n<div>Module 7: Network Automation, IaC, and Agentic AI Workflows<\/div>\n<ul>\n<li>7.1 Fundamentals of Network Automation &amp; Infrastructure as Code (IaC)<\/li>\n<li>7.2 Network APIs and Programmability<\/li>\n<li>7.3 Agentic AI, Function Calling, and MCP<\/li>\n<li>7.4 ChatOps and Operational Workflows<\/li>\n<li>7.5 Use-Cases and Case Studies<\/li>\n<\/ul>\n<div>Module 8: AI-Enhanced Network Security and Zero Trust<\/div>\n<ul>\n<li>8.1 AI-Enhanced Threat Detection<\/li>\n<li>8.2 Secure Network Design and Zero Trust<\/li>\n<li>8.3 SIEM, SOC, and AI-Assisted Security Operations<\/li>\n<li>8.4 Adversarial AI and AI Security Risks<\/li>\n<li>8.5 Use-Cases and Case Studies<\/li>\n<\/ul>\n<div>Module 9: Modern Observability: eBPF, OpenTelemetry, and AIOps<\/div>\n<ul>\n<li>9.1 Modern Observability Foundations (Metrics, Logs, and Traces)<\/li>\n<li>9.2 eBPF for Deep Network Visibility<\/li>\n<li>9.3 OpenTelemetry and Streaming Telemetry Standards<\/li>\n<li>9.4 AIOps: Alert Correlation, Noise Reduction, and Root Cause Support<\/li>\n<li>9.5 Use-Cases and Case Studies<\/li>\n<\/ul>\n<div>Module 10: AI Governance, Responsible AI, and Sustainable Networking<\/div>\n<ul>\n<li>10.1 AI Governance and Responsible Network Operations<\/li>\n<li>10.2 Privacy, Data Handling, and Bias in Network AI<\/li>\n<li>10.3 Sustainable\/Green Networking with AI<\/li>\n<li>10.4 Future Network Operations<\/li>\n<li>10.5 Use-Cases and Case Studies<\/li>\n<\/ul>\n<div>Module 11: Capstone Project &#8211; End-to-End AI Network Operations<\/div>\n<ul>\n<li>11.1 Capstone Objective<\/li>\n<li>11.2 Capstone Scenario<\/li>\n<\/ul>\n<div>Optional Module: Optional Module: AI Agents For Network<\/div>\n<ul>\n<li>1.1 What Are AI Agents<\/li>\n<li>1.2 Applications and Trends of AI Agents in Network Intelligence<\/li>\n<li>1.3 How Does an AI Agent Work<\/li>\n<li>1.4 Characteristics of AI Agents<\/li>\n<li>1.5 Types of AI Agents<\/li>\n<\/ul>\n<div>Tools you will explore<\/div>\n<ul>\n<li>Ansible<\/li>\n<li>Puppet<\/li>\n<li>Chef<\/li>\n<li>REST APIs<\/li>\n<li>NETCONF<\/li>\n<li>Kubernetes<\/li>\n<li>OpenStack<\/li>\n<li>GNS3<\/li>\n<li>Cisco Packet Tracer<\/li>\n<li>VMware<\/li>\n<\/ul>\n<p> Instructor-led OR Self-paced course + Official exam + Digital badge <\/p>\n<p>Online proctored exam included, with one free retake.<br \/>Exam format: 50 questions, 70% passing, 90 minutes, online proctored exam<\/p>\n<p>Access to all materials and exams is provided for 365 days after delivery.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency<\/p>\n<p>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.<\/p>\n","protected":false},"featured_media":3177,"comment_status":"open","ping_status":"closed","template":"","meta":{"_acf_changed":false},"product_brand":[],"product_cat":[499],"product_tag":[885,931,936,935,883,933,934,930,932,929],"class_list":["post-4523","product","type-product","status-publish","has-post-thumbnail","product_cat-cb-elearning","product_tag-cb-ansible","product_tag-cb-chef","product_tag-cb-cisco-packet-tracer","product_tag-cb-gns3","product_tag-cb-kubernetes","product_tag-cb-netconf","product_tag-cb-openstack","product_tag-cb-puppet","product_tag-cb-rest-apis","product_tag-cb-vmware","first","instock","taxable","shipping-taxable","purchasable","product-type-simple"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI+ Network Practitioner\u2122 eLearning | Train IT Now B.V. | Netherlands<\/title>\n<meta name=\"description\" content=\"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. 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