AI+ Network Practitioner™

# AT-510

Formerly known as AI+ Network™

Transform the Future of Networking with AI
This certification validates professional knowledge and competency in the combination of artificial intelligence and current networking technologies. The exam assesses understanding of fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Key focus areas include AI-powered network automation, orchestration, and security upgrades. The exam includes scenario-based questions covering emerging developments in AI-enhanced networking, validating candidate readiness for leadership roles in this rapidly evolving sector.

$495.00

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Modules Quizzes
AI Mentor
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Online Proctored Exam with One Free Retake
Hands-on Practices

Prerequisites

  • Foundational Networking Knowledge: Basic understanding of networking fundamentals.
  • Python Programming: Familiarity with programming languages such as Python.
  • AI and Machine Learning (ML) Understanding: Fundamental knowledge of AI and ML concepts.
  • Hands-On Experience with Network Management Tools: Experience with network management tools and technologies is a plus.

Exam Details

Exam Blueprint

ModulesPercentage
Networking Foundations13
Advanced Networking Technologies16
AI in Networking16
Network Automation and Orchestration16
AI-Enhanced Network Security13
Practical Labs and Hands-On Projects13
Emerging Trends and Future Directions13

Self Study Materials Included

Tools You'll Master

Ansible
Puppet
Chef
REST APIs
NETCONF
Kubernetes
OpenStack
GNS3
Cisco Packet Tracer
VMware

What Will You Learn?

AI-Driven Network Automation
Master techniques to design and implement automated network operations powered by AI, reducing manual intervention and improving efficiency.
AI-Powered Network Security
Develop expertise in leveraging AI algorithms to detect, prevent, and mitigate cyber threats through real-time monitoring and predictive analytics.
Network Optimization with AI
Learn to apply AI and machine learning for enhancing network performance, including faster data transfer speeds, reliability, and scalability.
Incident Response and AI-Driven Cybersecurity Intelligence
Understand how to use AI tools for incident detection, response strategies, and forensic analysis to strengthen network defenses.

Certification Modules

Module 1 Networking Foundations

You will learn network types, topologies, networking components, protocols, IP addressing, VLANs, wireless standards, and essential network security concepts. 

Module 2 Advanced Networking Technologies

You will explore VLANs, SDN, NFV, 5G, IoT, edge computing, advanced routing, data centers, and cloud networking technologies. 

Module 3 AI in Networking

You will learn AI and ML applications in networking, including traffic analysis, network optimization, anomaly detection, automation, and predictive maintenance. 

Module 4 Network Automation and Orchestration

You will explore automation tools, Python scripting, APIs, AI-driven orchestration, intent-based networking, Kubernetes, and zero trust architecture. 

Module 5 AI-Enhanced Network Security

You will learn AI-based threat detection, incident response, secure network design, SIEM enhancement, predictive analytics, and AI security considerations. 

Module 6 Practical Labs and Hands-On Projects

You will gain practical experience using simulation tools, AI-driven network automation, threat detection models, security implementation, and AI-enhanced network design projects. 

Module 7 Emerging Trends and Future Directions

You will explore AI in 5G, quantum computing impacts, AI-powered IoT networks, blockchain security, and future career opportunities in AI networking. 

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Industry Opportunities after Certification Completion

Median Salaries
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With AI+ Network Practitioner™
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% Difference
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Frequently Asked Questions

The certification is suitable for networking professionals, IT specialists, cybersecurity analysts, students, and AI enthusiasts.
Learners will develop skills in AI-driven network automation, monitoring, security, performance optimization, and modern network management.
The program teaches how AI can be applied to networking, automation, cloud environments, IoT, and security operations.
Learners should have basic knowledge of networking, Python, AI/ML fundamentals, and network management tools.
Learners gain hands-on experience in AI-powered networking solutions through projects and case studies.
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