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Catalog > All Topics

AI+ Network (AI+ Network)

AI CERTS
  • Course Summary
  • Schedule
5 Days
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$3,995.00
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    • T87340
    • 5 days
    • 06/02/2025 - 06/06/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
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    • T87341
    • 5 days
    • 07/07/2025 - 07/11/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
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    • T87342
    • 5 days
    • 08/04/2025 - 08/08/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
        Virtual Classroom
        Attend any of our instructor-led classes virtually regardless of your physical location.
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    • T87343
    • 5 days
    • 09/08/2025 - 09/12/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
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    • T87344
    • 5 days
    • 10/06/2025 - 10/10/2025*
    • 9:00 AM
    • (GMT -05:00) Central Daylight Time
    • Presented via WebEx
      • VC
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    • T87345
    • 5 days
    • 11/03/2025 - 11/07/2025*
    • 9:00 AM
    • (GMT -06:00) Central Standard Time
    • Presented via WebEx
      • VC
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        Attend any of our instructor-led classes virtually regardless of your physical location.
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    • T87346
    • 5 days
    • 12/01/2025 - 12/05/2025*
    • 9:00 AM
    • (GMT -06:00) Central Standard Time
    • Presented via WebEx
      • VC
        Virtual Classroom
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Course Summary
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Description

 

AI+ Network course provides professionals with the basic knowledge and advanced skills needed to understand the combination of artificial intelligence and current networking technologies. It discusses fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Important focus areas consist of AI-powered network automation, orchestration, and security upgrades, combined with hands-on projects and practical labs for real-life implementation. The class ends by examining new developments and upcoming pathways in AI-enhanced networking, getting students ready for leading positions in this quickly changing sector.

 

Objectives

  • AI-Powered Network Automation
  • AI-Enhanced Network Security
  • Network Optimization through AI
  • AI for Incident Response and Cybersecurity Intelligence

Prerequisites

Required

  • Basic understanding of networking fundamentals.
  • Familiarity with programming languages such as Python.
  • Fundamental knowledge of AI and machine learning concepts.

Recommended

  • Experience with network management tools and technologies is a plus

Who Should Attend

  • Network Engineer
  • Cybersecurity Specialist
  • Security Network Engineer

Outline

Networking Foundations

  • Basic Networking Concepts
  • Networking Protocols and Standards
  • Network Infrastructure and Design
  • Introduction to Network Security

Advanced Networking Technologies

  • Network Virtualization and Cloud Networking
  • Emerging Network Architectures
  • Advanced Routing and Switching
  • Network Storage and Data Centers

AI in Networking

  • Introduction to AI and Machine Learning
  • AI-Driven Network Optimization
  • AI for Network Security and Threat Detection
  • AI-Enhanced Network Management

Network Automation and Orchestration

  • Fundamentals of Network Automation
  • AI-Driven Network Orchestration
  • Policy-Driven Network Management
  • Case Studies in Network Automation

AI-Enhanced Network Security

  • Advanced Threat Detection with AI
  • Secure Network Design and Architecture
  • AI for Cybersecurity Intelligence
  • Ethical Considerations in AI-Driven Security

Practical Labs and Hands-On Projects

  • Network Simulation and Emulation
  • AI-Driven Network Automation Projects
  • AI for Network Security Projects
  • Capstone Project (Using Google Colab and Azure cloud)

Emerging Trends and Future Directions

  • Future of AI in Networking
  • AI-Powered IoT Networks
  • Blockchain and AI in Networking
  • Continuous Learning and Career Development

Optional Module: AI Agents for Network Management

  • Understanding AI Agents
  • Case Studies
  • Hands-On Practice with AI Agents

 

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