MasterFaculty of Computing and Software Engineering

Advanced Network Infrastructure and AIOps

Welcome to the advanced study of intelligent networks! I am Prof. Dr. Emre Şahin. As a professor and a pioneering force in the field of Advanced Network Infrastructure and AIOps, I bring a unique blend of engineering expertise and AI insight to the study of network systems. I am honored to lead the Advanced Network Infrastructure and AIOps (M.Sc.) program at Nexier University. My motto is: "Building Intelligent Networks, Connecting the Future".

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Level: Master
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

NXAcademic
Edition

The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

Mastering the architecture of large-scale, software-defined networks and the application of AIOps for intelligent automation. Specializes in advanced network architecture, software-defined networking (SDN), AIOps, network security, performance optimization, and leadership in network engineering.

Practical focus

Advanced network architecture, software-defined networking (SDN), AIOps, network security, performance optimization, leadership in network engineering.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Internships in technology companies or telecommunications firms
Roles as network architects or AIOps specialists
Consultancy in advanced network infrastructure and AIOps
Support roles in academic research projects on network infrastructure

Career opportunities

Distinguished Engineer, Network AI for technology companies or cloud service providers
Network Architect for large-scale software-defined networks
AIOps Engineer for intelligent automation
Researcher in Advanced Network Infrastructure and AIOps

Jobs and projects

Cultivating an interdisciplinary approach, integrating computer science, network engineering, and artificial intelligence
Developing strategic thinking for advanced network infrastructure design and AIOps implementation
Enhancing problem-solving through the analysis of complex networking challenges
Critical thinking for a comprehensive and nuanced understanding of Advanced Network Infrastructure and AIOps

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering advanced practical skills in Advanced network architecture and software-defined networking (SDN).
- Gaining expertise in AIOps, network security, and performance optimization.
- Developing problem-solving abilities for complex Leadership in network engineering.
- Cultivating an interdisciplinary approach, integrating computer science, network engineering, and artificial intelligence at an advanced level.
Skills you build
- Mastering AI-powered techniques for autonomous network architecture.
- Applying advanced engineering principles to network infrastructure and AIOps.
- Interpreting and analyzing complex network systems and their implications for intelligent automation.
- Identifying optimal network architectures and predicting security breaches.

Listed courses

Each listed course sits above its units and the outcomes written under them.

Advanced Network Infrastructure and AIOps

01Advanced Software-Defined Networking (SDN)
1. FoundationsFoundations of Advanced Software-Defined Networking (SDN)
  The learner can master advanced practical skills in Advanced network architecture and software-defined networking (SDN), as applied to Advanced Software-Defined Networking (SDN).
  The learner can gain expertise in AIOps, network security, and performance optimization, as applied to Advanced Software-Defined Networking (SDN).
2. MethodsMethods in Advanced Software-Defined Networking (SDN)
  The learner can develop problem-solving abilities for complex Leadership in network engineering, as applied to Advanced Software-Defined Networking (SDN).
  The learner can cultivating an interdisciplinary approach, integrating computer science, network engineering, and artificial intelligence at an advanced level, as applied to Advanced Software-Defined Networking (SDN).
3. ApplicationApplication of Advanced Software-Defined Networking (SDN)
  The learner can master AI-powered techniques for autonomous network architecture, as applied to Advanced Software-Defined Networking (SDN).
  The learner can apply advanced engineering principles to network infrastructure and AIOps, as applied to Advanced Software-Defined Networking (SDN).
02AIOps for Intelligent Network Automation
1. FoundationsFoundations of AIOps for Intelligent Network Automation
  The learner can interpreting and analyze complex network systems and their implications for intelligent automation, as applied to AIOps for Intelligent Network Automation.
  The learner can identify optimal network architectures and predicting security breaches, as applied to AIOps for Intelligent Network Automation.
2. MethodsMethods in AIOps for Intelligent Network Automation
  The learner can apply a method from AIOps for Intelligent Network Automation to a documented case.
  The learner can select an appropriate method from AIOps for Intelligent Network Automation for a stated problem.
3. ApplicationApplication of AIOps for Intelligent Network Automation
  The learner can evaluate a practice of AIOps for Intelligent Network Automation against a stated criterion.
  The learner can transfer AIOps for Intelligent Network Automation to a new documented context.
03Network Security and Cyber Resilience
1. FoundationsFoundations of Network Security and Cyber Resilience
  The learner can explain the core terms of Network Security and Cyber Resilience.
  The learner can distinguish related ideas inside Network Security and Cyber Resilience.
2. MethodsMethods in Network Security and Cyber Resilience
  The learner can apply a method from Network Security and Cyber Resilience to a documented case.
  The learner can select an appropriate method from Network Security and Cyber Resilience for a stated problem.
3. ApplicationApplication of Network Security and Cyber Resilience
  The learner can evaluate a practice of Network Security and Cyber Resilience against a stated criterion.
  The learner can transfer Network Security and Cyber Resilience to a new documented context.
04Network Performance Optimization and Telemetry
1. FoundationsFoundations of Network Performance Optimization and Telemetry
  The learner can explain the core terms of Network Performance Optimization and Telemetry.
  The learner can distinguish related ideas inside Network Performance Optimization and Telemetry.
2. MethodsMethods in Network Performance Optimization and Telemetry
  The learner can apply a method from Network Performance Optimization and Telemetry to a documented case.
  The learner can select an appropriate method from Network Performance Optimization and Telemetry for a stated problem.
3. ApplicationApplication of Network Performance Optimization and Telemetry
  The learner can evaluate a practice of Network Performance Optimization and Telemetry against a stated criterion.
  The learner can transfer Network Performance Optimization and Telemetry to a new documented context.
05Autonomous Network Management Systems
1. FoundationsFoundations of Autonomous Network Management Systems
  The learner can explain the core terms of Autonomous Network Management Systems.
  The learner can distinguish related ideas inside Autonomous Network Management Systems.
2. MethodsMethods in Autonomous Network Management Systems
  The learner can apply a method from Autonomous Network Management Systems to a documented case.
  The learner can select an appropriate method from Autonomous Network Management Systems for a stated problem.
3. ApplicationApplication of Autonomous Network Management Systems
  The learner can evaluate a practice of Autonomous Network Management Systems against a stated criterion.
  The learner can transfer Autonomous Network Management Systems to a new documented context.
06Advanced Network Architecture and SDN
1. FoundationsFoundations of Advanced Network Architecture and SDN
  The learner can explain the core terms of Advanced Network Architecture and SDN.
  The learner can distinguish related ideas inside Advanced Network Architecture and SDN.
2. MethodsMethods in Advanced Network Architecture and SDN
  The learner can apply a method from Advanced Network Architecture and SDN to a documented case.
  The learner can select an appropriate method from Advanced Network Architecture and SDN for a stated problem.
3. ApplicationApplication of Advanced Network Architecture and SDN
  The learner can evaluate a practice of Advanced Network Architecture and SDN against a stated criterion.
  The learner can transfer Advanced Network Architecture and SDN to a new documented context.
07AIOps for Network Security and Performance
1. FoundationsFoundations of AIOps for Network Security and Performance
  The learner can explain the core terms of AIOps for Network Security and Performance.
  The learner can distinguish related ideas inside AIOps for Network Security and Performance.
2. MethodsMethods in AIOps for Network Security and Performance
  The learner can apply a method from AIOps for Network Security and Performance to a documented case.
  The learner can select an appropriate method from AIOps for Network Security and Performance for a stated problem.
3. ApplicationApplication of AIOps for Network Security and Performance
  The learner can evaluate a practice of AIOps for Network Security and Performance against a stated criterion.
  The learner can transfer AIOps for Network Security and Performance to a new documented context.
08Leadership in Network Engineering
1. FoundationsFoundations of Leadership in Network Engineering
  The learner can explain the core terms of Leadership in Network Engineering.
  The learner can distinguish related ideas inside Leadership in Network Engineering.
2. MethodsMethods in Leadership in Network Engineering
  The learner can apply a method from Leadership in Network Engineering to a documented case.
  The learner can select an appropriate method from Leadership in Network Engineering for a stated problem.
3. ApplicationApplication of Leadership in Network Engineering
  The learner can evaluate a practice of Leadership in Network Engineering against a stated criterion.
  The learner can transfer Leadership in Network Engineering to a new documented context.
09Case Studies in Advanced Network Infrastructure and AIOps
1. FoundationsFoundations of Case Studies in Advanced Network Infrastructure and AIOps
  The learner can explain the core terms of Case Studies in Advanced Network Infrastructure and AIOps.
  The learner can distinguish related ideas inside Case Studies in Advanced Network Infrastructure and AIOps.
2. MethodsMethods in Case Studies in Advanced Network Infrastructure and AIOps
  The learner can apply a method from Case Studies in Advanced Network Infrastructure and AIOps to a documented case.
  The learner can select an appropriate method from Case Studies in Advanced Network Infrastructure and AIOps for a stated problem.
3. ApplicationApplication of Case Studies in Advanced Network Infrastructure and AIOps
  The learner can evaluate a practice of Case Studies in Advanced Network Infrastructure and AIOps against a stated criterion.
  The learner can transfer Case Studies in Advanced Network Infrastructure and AIOps to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My expertise spans the intricate domains of Mastering the architecture of large-scale, software-defined networks and the application of AIOps for intelligent automation. I specialize in advanced network architecture, software-defined networking (SDN), AIOps, network security, performance optimization, and leadership in network engineering. My work seamlessly integrates computer science, network engineering, and artificial intelligence. I am widely recognized for my contributions, with publications like "Reinforcement Learning for Autonomous Network Healing" and "AI-Driven Cybersecurity Orchestration in SDN Environments" listed on these platforms. I hold prestigious memberships as a "Distinguished Engineer, Network AI" at a major cloud provider (e.g., Azure, Alibaba Cloud) and a "Keynote Speaker" at the IEEE NetSoft Conference. My thought leadership is evident through my advanced research on autonomous network management, cyber resilience, and the future of self-optimizing networks, frequently featured in publications like IEEE Transactions on Networking or Journal of Network and Computer Applications.

Applied mentorship

My expertise lies in understanding and navigating the advanced technical challenges of network infrastructure, focusing on Advanced network architecture, software-defined networking (SDN), AIOps, network security, performance optimization, and Leadership in network engineering. I focus on the practical implementation and application of theoretical concepts, explaining complex interdisciplinary topics in a clear and concise manner. I guide my students through the challenging integration aspects of different fields and ensure they grasp the nuances of combining disparate data types, fostering a detail-oriented and methodical approach.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on advanced network infrastructure and AIOps:

Blog Post (Current Academic Topic): "Network Digital Twins: Simulating the Future of Network Operations." This blog post academically explores the concept of network digital twins—virtual replicas of physical networks—and their role in advanced network operations. It discusses how digital twins, powered by real-time data and AI, enable network engineers to simulate changes, predict performance, and identify vulnerabilities without impacting live infrastructure, leading to more robust and resilient network designs.

Blog Post (Controversial Topic): "The Autonomous Grid: When AI Manages Global Networks – Efficiency or Total Control? The Ethical Dilemma of Self-Healing Infrastructure." This article provocatively discusses the highly controversial future where advanced AI systems autonomously manage and optimize global network infrastructure, from traffic routing and resource allocation to security and disaster recovery, with minimal human intervention. It questions whether AI, despite its potential for hyper-efficiency and resilience, could inadvertently lead to a concentration of power in a single algorithmic entity, create "black box" vulnerabilities in critical communication, or make decisions that prioritize efficiency over human oversight or privacy. It raises profound ethical questions about control over essential digital services, data sovereignty in a global network, and the imperative to ensure human accountability in managing the digital backbone of society.

Article: "AI for Autonomous Network Optimization and Resource Allocation." This article details the application of AI algorithms for fully autonomous network optimization and resource allocation. It explores how AI can dynamically adjust routing paths, bandwidth allocation, and device configurations in real-time to ensure optimal network performance, reduce congestion, and maximize resource utilization in large-scale, software-defined networks.

Peer-Reviewed Journal Article: "Intelligent Network Performance Optimization via AIOps and Software-Defined Architectures." Published in the International Journal of Intelligent Networking, this article presents groundbreaking research on mastering the architecture of large-scale, software-defined networks and the application of AIOps for intelligent automation. It details novel approaches for network security and performance optimization, showcasing the next generation of self-managing network infrastructure.

Book: "Architecting Next-Gen Networks: SDN, AIOps, and Automation." This book provides advanced insights into mastering the architecture of large-scale, software-defined networks and the application of AIOps for intelligent automation. It covers advanced network architecture, software-defined networking (SDN), AIOps, network security, and performance optimization.

R / 02

Mentor practice lens

My contributions focus on understanding and navigating the advanced technical challenges of network infrastructure:

"Designing Scalable SDN Architectures for Enterprise Networks" (Technical Manual).

"AIOps for Proactive Anomaly Detection in Cloud Networks" (Research Paper).

"Network Performance Tuning and Optimization Techniques" (Practical Guide).

Adaptive capability

Professor superpower

I possess a remarkable "superpower": Autonomous Network Architect. When a student designs a large-scale software-defined network, I can instantly use the GAF engine to synthesize its optimal architecture and AIOps automation. This tool simulates network performance under various attack vectors and fault conditions, predicts potential security breaches, and optimizes intelligent automation for self-healing capabilities, ensuring maximum cyber resilience and operational efficiency.

Adaptive capability

Mentor superpower

I possess a remarkable "superpower": Network Performance Bottleneck Identifier. When students are optimizing network performance, I can instantly activate a GAF-powered "Network Performance Bottleneck Identifier." This tool analyzes simulated network topologies and traffic patterns, pinpoints congestion points, high-latency links, or inefficient routing protocols, and suggests optimal configurations for maximum throughput and low latency.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Emre Şahin

Meet your professor Open the classroom

AI Super Mentor

Dr. Emily Moore

Advanced network architecture, software-defined networking (SDN), AIOps, network security, performance optimization, leadership in network engineering.

Meet your mentor Open the classroom

Same faculty and level

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Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor	Master This programme	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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Advanced Network Infrastructure and AIOps

Academic focus

Practical focus

Internships in technology companies or telecommunications firms

Roles as network architects or AIOps specialists

Consultancy in advanced network infrastructure and AIOps

Support roles in academic research projects on network infrastructure

Distinguished Engineer, Network AI for technology companies or cloud service providers

Network Architect for large-scale software-defined networks

AIOps Engineer for intelligent automation

Researcher in Advanced Network Infrastructure and AIOps

Cultivating an interdisciplinary approach, integrating computer science, network engineering, and artificial intelligence

Developing strategic thinking for advanced network infrastructure design and AIOps implementation

Enhancing problem-solving through the analysis of complex networking challenges

Critical thinking for a comprehensive and nuanced understanding of Advanced Network Infrastructure and AIOps

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Emre Şahin

Dr. Emily Moore

Find the program that expands your universe.