AI is reshaping how networks are operated, automated, and defended. vExpertAI delivers hands-on, production-ready training that bridges network engineering, security operations, and applied AI — built by practitioners, for practitioners.
Market Context
AI is no longer a research topic for network and security teams — it is entering production infrastructure faster than the workforce is prepared for it.
Up from less than 3% today. Network engineers are being asked to validate, oversee, and correct AI-generated configurations they were never trained to understand.
Cybersecurity and network teams alike are under-equipped to implement or oversee AI systems. The skills shortage is now the primary barrier, not the technology.
Organisations are adopting AI governance frameworks faster than they are equipping their teams with the technical skills to implement or audit them.
AI agents that autonomously query devices, detect anomalies, and recommend or execute remediations are moving from proof-of-concept to production — with no structured training available for the engineers who will operate them.
Defence, government, financial services, and critical infrastructure organisations operate under data sovereignty requirements that prohibit sending operational data to commercial cloud AI APIs. On-premises AI deployment is not optional for them — it is mandatory.
A 7B parameter model fine-tuned on SIEM alert data improves IDS detection F1 by up to 98% over baseline. Security practitioners need to know how to build these models — on their own hardware, with their own data.
Network automation toolchains (Python, Ansible, Nornir, Batfish) are being augmented with LLM agents. Engineers fluent in both domains are rare — and in high demand across every major network operator and systems integrator.
Our Platforms
vExpertAI's training is grounded in real deployed products — not hypothetical architectures. Every course teaches skills extracted from systems running in production.
A 5-agent AI platform that automates network monitoring, anomaly detection, root-cause analysis, and change validation — built for multi-vendor enterprise and telco environments.
A multi-agent SOC automation architecture combining fine-tuned small LLMs with production RAG pipelines — designed to run entirely on-premises in air-gapped and regulated environments.
Course Catalogue
Two structured course proposals, built on content and platforms already in production. Syllabi, learning objectives, and lab frameworks are defined — final development would happen in collaboration with the training partner.
For network engineers, NOC engineers, and network architects ready to integrate AI into daily operations.
For SOC engineers, detection engineers, and security architects — including air-gapped and regulated deployments.
Collaboration Models
From co-developing a new course track to contributing a single module — we adapt to what creates the most value for learners and for the partnership.
Develop and deliver a new 2–3 course series forming a dedicated "AI for Network and Security Engineering" track, each course mapping to a new certification.
Add specialist workshops to existing training events — half-day or full-day sessions covering AI agents for network operations, or on-premises LLM fine-tuning for security teams.
Co-author a research survey and report on AI adoption in network and security operations — with particular focus on on-premises deployment in regulated environments.
Contribute domain-specific modules to courses currently under development or revision — adding networking or on-premises AI content where it is absent.
Who We Are
20 years of enterprise network architecture — designing and operating multi-vendor, mission-critical infrastructure across financial services, telco, and enterprise environments — followed by a deliberate move into applied AI for network and security operations.
vExpertAI was founded on a simple observation: the practitioners who understand networks deeply enough to train AI on them are not ML researchers — they are network engineers and SOC analysts. Ed built the curriculum he wished had existed when he made the transition: grounded in real infrastructure, running on real hardware, solving real operational problems.
The free AI for Networking & Security Engineers Academy (netsec-academy.vexpertai.com) has been used by thousands of practitioners across Europe and the US. The KodeKloud delivery partnership extends that reach to a global learner base. Two complete course manuscripts — totalling 58 authored chapters — are delivery-ready.
Get in Touch
Whether you're exploring a new course track, a one-day workshop, or a co-authored research piece — the conversation starts here.
ed@vexpertai.com