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AI+ Network™

AT-510

Master the Future of Networking: Harness AI for Automation, Security, and Next-Generation Efficiency

This 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.

Certification Duration: 40 hours (5 Days)

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Prerequisites

  • Basic understanding of networking fundamentals.
  • Familiarity with programming languages such as Python.
  • Fundamental knowledge of AI and machine learning concepts.
  • Experience with network management tools and technologies is a plus.

Modules

7

Examination

1

50 MCQs

90 Minutes

Passing Score

70%

Recertification Requirements

AI CERTs requires recertification every year to keep your certification valid. Notifications will be sent three months before the due date, and candidates must follow the steps in the candidate handbook to complete the process.

Need Help? If you have any questions or need assistance with recertification, please reach out to our support team at support@aicerts.ai

Certification Modules

  1. 1.1 Basic Networking Concepts
  2. 1.2 Networking Protocols and Standards
  3. 1.3 Network Infrastructure and Design
  4. 1.4 Introduction to Network Security
  1. 2.1 Network Virtualization and Cloud Networking
  2. 2.2 Emerging Network Architectures
  3. 2.3 Advanced Routing and Switching
  4. 2.4 Network Storage and Data Centers
  1. 3.1 Introduction to AI and Machine Learning
  2. 3.2 AI-Driven Network Optimization
  3. 3.3 AI for Network Security and Threat Detection
  4. 3.4 AI-Enhanced Network Management
  1. 4.1 Fundamentals of Network Automation
  2. 4.2 AI-Driven Network Orchestration
  3. 4.3 Policy-Driven Network Management
  4. 4.4 Case Studies in Network Automation
  1. 5.1 Advanced Threat Detection with AI
  2. 5.2 Secure Network Design and Architecture
  3. 5.3 AI for Cybersecurity Intelligence
  4. 5.4 Ethical Considerations in AI-Driven Security
  1. 6.1 Network Simulation and Emulation
  2. 6.2 AI-Driven Network Automation Projects
  3. 6.3 AI for Network Security Projects
  4. 6.4 Capstone Project (Using Google Colab and Azure cloud)
  1. 7.1 Future of AI in Networking
  2. 7.2 AI-Powered IoT Networks
  3. 7.3 Blockchain and AI in Networking
  4. 7.4 Continuous Learning and Career Development

Certification Modules

  1. 1.1 Basic Networking Concepts
  2. 1.2 Networking Protocols and Standards
  3. 1.3 Network Infrastructure and Design
  4. 1.4 Introduction to Network Security
  1. 2.1 Network Virtualization and Cloud Networking
  2. 2.2 Emerging Network Architectures
  3. 2.3 Advanced Routing and Switching
  4. 2.4 Network Storage and Data Centers
  1. 3.1 Introduction to AI and Machine Learning
  2. 3.2 AI-Driven Network Optimization
  3. 3.3 AI for Network Security and Threat Detection
  4. 3.4 AI-Enhanced Network Management
  1. 4.1 Fundamentals of Network Automation
  2. 4.2 AI-Driven Network Orchestration
  3. 4.3 Policy-Driven Network Management
  4. 4.4 Case Studies in Network Automation
  1. 5.1 Advanced Threat Detection with AI
  2. 5.2 Secure Network Design and Architecture
  3. 5.3 AI for Cybersecurity Intelligence
  4. 5.4 Ethical Considerations in AI-Driven Security
  1. 6.1 Network Simulation and Emulation
  2. 6.2 AI-Driven Network Automation Projects
  3. 6.3 AI for Network Security Projects
  4. 6.4 Capstone Project (Using Google Colab and Azure cloud)
  1. 7.1 Future of AI in Networking
  2. 7.2 AI-Powered IoT Networks
  3. 7.3 Blockchain and AI in Networking
  4. 7.4 Continuous Learning and Career Development

Tools

Elastic

Juniper

Netdata

Exam Objectives

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AI-Powered Network Automation

Ability to design, implement, and manage automated network operations using AI, optimizing efficiency and reducing manual intervention.

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AI-Enhanced Network Security

Expertise in utilizing AI to detect and prevent cyber threats, including AI-driven threat intelligence and network monitoring.

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Network Optimization through AI

Skills in applying AI and machine learning algorithms to optimize network performance, improving speed, reliability, and scalability.

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AI for Incident Response and Cybersecurity Intelligence

Ability to leverage AI for real-time network security incident detection, response, and forensics, enhancing cybersecurity measures.

Career Opportunities Post-Certification

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Median Salaries

$75000
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With AI Skills

$100000
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% Difference

33.33
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AI Network Engineer

Responsible for designing, implementing, and maintaining AI-enhanced networks, focusing on automation, orchestration, and performance optimization.

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Network Automation Specialist

Focuses on automating network functions using AI technologies, reducing manual intervention and improving network efficiency.

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IOT and AI Network Specialist

Works on integrating AI with IoT networks, ensuring efficient data flow, security, and scalability in interconnected environments.

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AI Network Operations Manager

Leads the management and monitoring of AI-driven network operations, ensuring high performance, minimal downtime, and rapid response to issues.

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Frequently Asked Questions

You’ll gain hands-on experience with AI-powered network security tools and threat detection systems.

This course is beneficial for IT, telecom, and financial sectors where network security is critical.

You’ll receive course materials, case studies, project guidance, and access to an online community of learners.

It’s designed for network engineers, cybersecurity professionals, and AI developers.

You'll learn about AI-driven network anomaly detection, automated network monitoring, and real-time threat mitigation.

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