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This program provides comprehensive knowledge of AI applications in networking, focusing on automation, security, and optimization to improve network efficiency and resilience.

Prerequisites

  • Networking Fundamentals: Understanding of basic networking concepts, including protocols, topologies, and devices.
  • Programming Skills: Proficiency in programming languages commonly used in network management and automation.
  • AI Basics: Familiarity with artificial intelligence principles and machine learning algorithms.
  • Cybersecurity Awareness: Knowledge of fundamental cybersecurity practices and threat mitigation strategies.

 
Recertification Requirements
    To maintain the validity of your certification, The Whiteboard, in affiliation with AI CERTs, requires annual recertification. A notification will be sent three months before the due date, guiding candidates through the process outlined in the candidate handbook. Need Assistance? For any questions or support regarding recertification, please contact The Whiteboard's team at info@thewhiteboard.co.in.

Course Modules and Curriculum

  • 1.1 Basic Networking Concepts
  • 1.2 Networking Protocols and Standards
  • 1.3 Network Infrastructure and Design
  • 1.4 Introduction to Network Security
  • 2.1 Network Virtualization and Cloud Networking
  • 2.2 Emerging Network Architectures
  • 2.3 Advanced Routing and Switching
  • 2.4 Network Storage and Data Centers
  • 3.1 Introduction to AI and Machine Learning
  • 3.2 AI-Driven Network Optimization
  • 3.3 AI for Network Security and Threat Detection
  • 3.4 AI-Enhanced Network Management
  • 4.1 Fundamentals of Network Automation
  • 4.2 AI-Driven Network Orchestration
  • 4.3 Policy-Driven Network Management
  • 4.4 Case Studies in Network Automation
  • 5.1 Advanced Threat Detection with AI
  • 5.2 Secure Network Design and Architecture
  • 5.3 AI for Cybersecurity Intelligence
  • 5.4 Ethical Considerations in AI-Driven Security
  • 6.1 Network Simulation and Emulation
  • 6.2 AI-Driven Network Automation Projects
  • 6.3 AI for Network Security Projects
  • 6.4 Capstone Project (Using Google Colab and Azure cloud)
  • 7.1 Future of AI in Networking
  • 7.2 AI-Powered IoT Networks
  • 7.3 Blockchain and AI in Networking
  • 7.4 Continuous Learning and Career Development

Tools

Elastic

Elastic

Juniper

Juniper

Netdata

Netdata

Who Should Enroll?

This certification is ideal for:

  • Network Engineers & IT Professionals
    - Learn how AI improves network management and automation..
  • Cybersecurity Experts
    - Gain insights into AI-driven threat detection and risk mitigation in networks.
  • AI & Cloud Computing Specialists
    - Understand how AI integrates with cloud networks and IoT systems.
  • Data Scientists & AI Developers
    - Explore AI-driven network analytics, automation, and optimization.
Key Learning Outcomes
  • Understand the role of AI in modern networking, automation, and optimization.
  • Learn how to integrate AI with cloud networks, IoT, and smart systems.
  • Develop expertise in AI-powered security, risk mitigation, and compliance.
  • Gain practical knowledge in real-time AI network monitoring and predictive analytics.

Enroll Now

Take the first step towards becoming an Ai expert.
Enroll in our AI+ Network™ Course today and unlock the potential of coding to drive your career forward.

Exam Objectives

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AI-Driven Network Automation

Implementing AI to automate network configuration, management, and troubleshooting.

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AI-Powered Network Security

Leveraging AI to detect, prevent, and respond to security threats in real-time.

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Network Optimization with AI

Applying AI algorithms to optimize network performance, including intelligent routing and predictive fault management.

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Integration of AI in Networking Technologies

Combining AI with technologies like Software-Defined Networking (SDN) and Network Function Virtualization (NFV) for enhanced scalability and efficiency.

Career Opportunities Post-Certification

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Median Salaries

$75,000

AI Salary Icon

With AI Skills

$100000

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% Difference

33.33

Product Manager

AI Network Engineer

Design and implement AI-driven solutions to enhance network performance and security.

Data Analyst

AI Network Operations Manager

Oversee AI-integrated network operations, ensuring efficiency and rapid issue resolution.

AI Architect

IoT and AI Network Specialist

Integrate AI with IoT networks for improved data flow, scalability, and security.

ML Engineer

AI Network Security Analyst

Utilize AI to monitor network security, detect anomalies, and mitigate threats proactively.

Join AI Course & Become Future-Ready!

Stay ahead in the AI-driven world. Enroll now to gain in-demand skills, hands-on experience, and industry-recognized certification for a future-ready career.

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Frequently Asked Questions

This certification is ideal for network engineers, cybersecurity professionals, and AI developers seeking to integrate AI into networking to enhance automation, security, and performance.

Participants will acquire hands-on experience in implementing AI-driven network automation, enhancing security through AI, and optimizing network performance using AI algorithms.

Earning the AI+ Network™ Certification demonstrates your expertise in the convergence of AI and networking technologies, positioning you for advanced roles in network engineering, operations management, and IoT integration.

A foundational understanding of networking concepts, programming skills, basic AI knowledge, and cybersecurity awareness are recommended to maximize the learning experience.

The certification exam consists of 50 multiple-choice questions to be completed in 90 minutes, with a passing score of 70% required to earn the certification.