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Network Analytics and Artificial Intelligence (AI) Training

  • Duration: 24 Hours
  • Exam Voucher: Yes
  • Language: English
  • Course Delivery : E - Learning Access
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Course Overview

The AI for Network Engineers Course delivers essential training for networking professionals looking to understand how artificial intelligence transforms modern network operations. Participants gain a structured understanding of how AI and machine learning analyze telemetry and operational data to provide visibility, prediction, and automation across enterprise and service provider networks. The course emphasizes practical interpretation of analytics, recognizing patterns, and using AI-assisted insights to reduce downtime and accelerate troubleshooting. Guided labs and examples reinforce how AI augments traditional network engineering workflows.

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Course Details

  • Build foundational understanding of AI and machine learning concepts for networking.
  • Learn how telemetry and data analytics drive AI-powered network insights.
  • Understand anomaly detection and predictive analytics use cases.
  • Gain exposure to AI-assisted monitoring and troubleshooting workflows.
  • Improve operational efficiency through data-driven decision-making.
  • Establish a strong foundation for advanced AI, analytics, and automation pathways.
  • Ideal for network engineers, operations teams, and IT professionals.
  • Recommended to have foundational knowledge of networking concepts.
  • No prior AI or data science experience required.
  • No prerequisite certifications required for course participation.
  • Explain core AI and machine learning concepts relevant to networking.
  • Understand how network telemetry is collected and analyzed.
  • Interpret AI-driven insights for network health and performance.
  • Identify anomalies and trends using analytics tools.
  • Apply AI-assisted approaches to troubleshooting and operations.
  • Prepare for advanced training in network analytics and AI-driven networking.
  • AI Fundamentals for Network Engineers: Concepts, terminology, and use cases.
  • Telemetry and Data Collection: Metrics, events, and data sources.
  • Machine Learning Basics: Supervised and unsupervised learning awareness.
  • Anomaly Detection: Identifying abnormal network behavior.
  • Predictive Analytics: Anticipating issues and performance trends.
  • AI-Assisted Troubleshooting: Faster fault isolation and resolution.
  • Operational Best Practices: Integrating AI into daily network operations.
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What Our Corporate Clients Say

Trusted by leading organizations worldwide

James Abot
★★★★★

Much obliged to you for this course. I get know understanding and information in utilizing various types of online apparatuses which are helpful and viable. I'll utilize some of them during my exercises. Also, heaps of much obliged.

Sayali Patil
★★★★★

This was a very immersive and interesting course from NovelVista a lot of self-learning to be done on your own to really understand and put together into practice the technology into your own course and workflow.

Amit Shrivastav
★★★★★

It was truly an amazing learning session. I did have my apprehensions before signing up, but trainer made me feel so comfortable from the time we started the session till the very end of it.Thanks for this amazing experience.

Frequently Asked Questions

What is included in this course?+

Instructor-led modules covering AI fundamentals, telemetry analytics, anomaly detection, predictive insights, and guided labs focused on network operations.

Is there an associated certification exam?+

This course supports Cisco-aligned analytics and AI learning paths, though it may not directly align to a single standalone exam.

Who should enroll?+

Network engineers, IT operations professionals, and administrators interested in applying AI to networking.

How is the course delivered?+

Delivered through instructor-led virtual classroom sessions with structured lessons, guided labs, and real-world AI-driven networking scenarios.

Do I need prior AI experience?+

No. AI concepts are introduced from the ground up and tailored for networking professionals.

Is hands-on practice included?+

Yes — guided labs and scenario-based exercises are included to reinforce real-world AI and analytics use cases in network operations.