Wednesday, 13 May 2026

AI Fundamentals for Network Engineers by Arash Deljoo

Python Developer May 13, 2026 AI No comments

Traditional networking is rapidly evolving. Modern networks are no longer managed solely through manual configurations and reactive troubleshooting. Today, Artificial Intelligence (AI), Machine Learning (ML), automation, and intelligent analytics are transforming how networks are designed, monitored, secured, and optimized.

The course “AI Fundamentals for Network Engineers” by Arash Deljoo introduces networking professionals to the world of AI-driven networking and explains how artificial intelligence is revolutionizing enterprise infrastructure, cloud operations, security, and automation. According to the course description, it focuses on helping network engineers understand AI and machine learning concepts relevant to modern networking environments.

Why AI Matters in Networking

For decades, network engineering relied heavily on manual operations:

CLI configurations
Static routing
Manual troubleshooting
Human-based monitoring
Rule-based management

But modern infrastructures are becoming too complex for traditional approaches.

Today’s networks include:

Cloud computing
Hybrid infrastructure
SD-WAN
Multi-cloud environments
IoT ecosystems
5G networks
AI workloads
Edge computing

These environments generate enormous volumes of telemetry and operational data that humans alone cannot efficiently analyze in real time.

This is where AI changes everything.

AI-powered systems can:

Detect anomalies automatically
Predict outages
Optimize traffic
Improve security
Automate troubleshooting
Reduce downtime
Enhance network performance

The course specifically focuses on introducing network engineers to these modern AI-driven networking concepts.

Who is Arash Deljoo?

Arash Deljoo is a Cisco engineer and networking educator with extensive experience in network engineering, communication systems, and technical training. His Udemy instructor profile highlights years of expertise in networking technologies and enterprise infrastructure education.

He is also known for multiple networking courses covering:

Network troubleshooting
Segment Routing
ACL security
Network automation
AI in networking

This industry-focused background makes the course highly practical for engineers working in real enterprise environments.

Understanding AIOps

One of the most important modern networking concepts is AIOps.

AIOps stands for:

$𝐴 𝐼 𝑂 𝑝 𝑠 = 𝐴 𝑟 𝑡 𝑖 𝑓 𝑖 𝑐 𝑖 𝑎 𝑙 𝐼 𝑛 𝑡 𝑒 𝑙 𝑙 𝑖 𝑔 𝑒 𝑛 𝑐 𝑒 + 𝐼 𝑇 𝑂 𝑝 𝑒 𝑟 𝑎 𝑡 𝑖 𝑜 𝑛 𝑠$

AIOps platforms combine:

Machine learning
Big data analytics
Automation
Event correlation
Predictive intelligence

Their goal is to improve operational efficiency.

According to Arash Deljoo’s networking AI lecture announcement, the course explores Cisco AIOps technologies such as:

Cisco Catalyst Center
Nexus Dashboard
Meraki
AppDynamics
ThousandEyes
Secure Network Analytics

These tools represent the future of intelligent network operations.

AI and Machine Learning for Network Engineers

Many network engineers initially believe AI requires advanced mathematics or data science expertise.

However, the course appears designed specifically for networking professionals who want practical AI understanding without becoming full-time data scientists.

The course introduces foundational concepts such as:

Artificial Intelligence
Machine Learning
Neural Networks
Predictive Analytics
Intelligent Automation
AI-driven observability

This approach helps network engineers understand how AI integrates into existing infrastructures.

Machine Learning in Networking

Machine learning allows systems to identify patterns from data and improve automatically.

In networking, ML can help with:

Traffic Prediction

Predicting bandwidth usage and congestion.

Failure Detection

Identifying abnormal device behavior before outages occur.

Intrusion Detection

Detecting malicious activity using anomaly detection.

Capacity Planning

Forecasting infrastructure growth requirements.

Root Cause Analysis

Finding the source of network failures automatically.

These applications are becoming increasingly important in enterprise and cloud environments.

The Role of Automation in Modern Networking

Automation is now a mandatory skill for network engineers.

Traditional networking required repetitive manual tasks:

Device configuration
Policy deployment
Firmware updates
Monitoring

AI-enhanced automation dramatically reduces operational overhead.

The course connects AI with automation concepts to demonstrate how intelligent systems improve efficiency.

Cisco and AI-Powered Networking

Cisco is heavily investing in AI-driven networking platforms.

The course reportedly discusses technologies such as:

Cisco Catalyst Center
Cisco Meraki
Cisco Nexus Dashboard
AppDynamics
ThousandEyes

These platforms use AI and analytics for:

Predictive monitoring
Performance optimization
Automated troubleshooting
Security intelligence

Cisco’s AI networking ecosystem is becoming increasingly central to enterprise networking strategies.

Why Network Engineers Should Learn AI

The networking industry is changing rapidly.

Engineers who understand AI gain significant advantages:

Higher Career Opportunities

AI-enabled infrastructure skills are increasingly in demand.

Future-Proof Skillset

Traditional networking alone may not remain sufficient.

Better Troubleshooting

AI tools accelerate root cause analysis.

Improved Automation

AI simplifies repetitive operational tasks.

Stronger Security

AI-driven threat detection improves cyber defense.

Network engineers who combine networking fundamentals with AI knowledge become highly valuable in enterprise environments.

AI in Network Security

Cybersecurity is one of the most important applications of AI in networking.

AI systems can:

Detect unusual traffic patterns
Identify malware activity
Monitor behavioral anomalies
Detect insider threats
Automate incident response

Modern enterprise security increasingly relies on machine learning-powered analytics.

The course introduces how AI supports intelligent security operations.

Intent-Based Networking (IBN)

Intent-Based Networking is a modern networking approach where administrators define business intent rather than manually configuring devices.

Example:

Instead of configuring hundreds of commands manually, engineers specify:

“Prioritize VoIP traffic and isolate guest users.”

The AI-driven network then automatically implements and monitors the required configurations.

This represents one of the most transformative trends in enterprise networking.

AI and Cloud Networking

Cloud environments generate massive telemetry data.

AI systems help cloud networking through:

Performance optimization
Traffic balancing
Predictive scaling
Intelligent routing
Failure prediction

As enterprises migrate toward multi-cloud architectures, AI-driven networking becomes increasingly critical.

Networking Careers Are Evolving

Future network engineers will need skills in:

Automation
Python scripting
AI operations
Telemetry analytics
Cloud networking
Infrastructure as Code
Security analytics

Courses like this help bridge the gap between traditional networking and intelligent infrastructure management.

Practical Learning Approach

One major advantage of this course is its practical orientation.

Rather than focusing entirely on theoretical AI mathematics, it emphasizes real-world applications relevant to network engineers.

This makes the learning curve more approachable for professionals already working in networking roles.

Key Skills You Can Gain

After completing the course, learners may better understand:

AI fundamentals
Machine learning basics
AIOps concepts
AI-powered networking
Predictive analytics
Intelligent automation
Cisco AI platforms
Modern network observability
AI-enhanced troubleshooting

These skills align closely with modern enterprise infrastructure trends.

The Future of Networking is Intelligent

Networking is entering a completely new era.

Future networks will increasingly become:

Self-healing
Self-monitoring
Self-optimizing
AI-assisted
Predictive
Autonomous

Network engineers who understand AI today will likely become tomorrow’s infrastructure leaders.

The combination of networking expertise and AI knowledge is becoming one of the most valuable technical skillsets in modern IT.

Who Should Take This Course?

This course is ideal for:

Network Engineers
CCNA/CCNP learners
Cisco professionals
Network administrators
Infrastructure engineers
Cloud engineers
Security engineers
IT operations professionals

It is especially valuable for engineers who want to understand how AI is changing enterprise networking.

Join Now: AI Fundamentals for Network Engineers by Arash Deljoo

Final Thoughts

Artificial Intelligence is no longer limited to data scientists and software engineers. It is becoming a core component of modern network infrastructure.

The course “AI Fundamentals for Network Engineers” by Arash Deljoo offers an excellent introduction to AI-driven networking, intelligent automation, AIOps, and the future of enterprise infrastructure.

Its biggest strengths include: