AI+ Network Practitioner™
AT-510
Formerly known as AI+ Network™Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency 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.
Why This Certification Matters
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Who Should Enroll?
Networking Professionals: Looking to advance your skills by integrating AI into network design, automation, and security to stay ahead in a competitive field.
AI Enthusiasts: Interested in applying AI technologies like ML and automation Specifically, networking domains.
IT Specialists: Focused on exploring the intersection of cloud computing, IoT, and AI to optimize infrastructure and network performance.
Students and Fresh Graduates: Pursuing careers in AI, cybersecurity, or networking and wanting to gain hands-on experience and credentials to strengthen their professional profile.
Cybersecurity Analysts: Seeking to utilize AI-driven solutions for threat detection, network protection, and predictive analytics.
System Administrators: Eager to transition into roles involving network automation, orchestration, and AI-based tools for managing complex systems.
Tech Innovators and Researchers: Interested in exploring emerging trends like 5G, edge computing, or blockchain in AI-enhanced networking.
Job Roles & Industry Outlook
Network Support Specialist
Provide technical support by troubleshooting network issues and ensuring reliable connectivity across enterprise environments.
Junior Network Engineer
Assist in designing, configuring, and maintaining network infrastructure to support secure and efficient operations.
Network Operations Center (NOC) Analyst
Monitor network performance, detect outages, and respond to incidents to ensure continuous network availability.
Network Administrator
Manage network devices, user access, and system performance while maintaining secure and stable network operations.
Network Automation Associate
Implement automation tools and AI-driven workflows to simplify network management and improve operational efficiency.
Network Security Analyst
Protect network infrastructure by identifying vulnerabilities, monitoring threats, and implementing security controls.
Skills You'll Gain
- AI-driven network automation and orchestration.
- Automated network monitoring and anomaly detection.
- Predictive maintenance and fault prevention.
- AI-enhanced network security and threat mitigation.
- Network performance optimization using AI methods.
- Working with cloud, IoT, and modern network environments.
- Understanding how AI combines with current networking technologies.
What You'll Learn
You will learn network types, topologies, networking components, protocols, IP addressing, VLANs, wireless standards, and essential network security concepts.
You will explore VLANs, SDN, NFV, 5G, IoT, edge computing, advanced routing, data centers, and cloud networking technologies.
You will learn AI and ML applications in networking, including traffic analysis, network optimization, anomaly detection, automation, and predictive maintenance.
You will explore automation tools, Python scripting, APIs, AI-driven orchestration, intent-based networking, Kubernetes, and zero trust architecture.
You will learn AI-based threat detection, incident response, secure network design, SIEM enhancement, predictive analytics, and AI security considerations.
You will gain practical experience using simulation tools, AI-driven network automation, threat detection models, security implementation, and AI-enhanced network design projects.
You will explore AI in 5G, quantum computing impacts, AI-powered IoT networks, blockchain security, and future career opportunities in AI networking.
Tools You'll Explore
Ansible
Puppet
Chef
REST APIs
NETCONF
Kubernetes
OpenStack
GNS3
Cisco Packet Tracer
VMware
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
Duration
90 minutes
Passing Score
70% (35/50 Correct)
Format
Multiple Choice Questions (MCQ)
Delivery Method
Online via proctored exam platform
- Networking Foundations - 13%
- Advanced Networking Technologies - 16%
- AI in Networking - 16%
- Network Automation and Orchestration - 16%
- AI-Enhanced Network Security - 13%
- Practical Labs and Hands-On Projects - 13%
- Emerging Trends and Future Directions - 13%
Choose the Format That Fits Your Schedule
- High-Quality Videos, E-book (PDF & Audio), and Podcasts
- AI Mentor for Personalized Guidance
- Quizzes, Assessments, and Course Resources
- Online Proctored Exam with One Free Retake
- Comprehensive Exam Study Guide
Instructor-Led (Live Virtual/Classroom)
- 5 days of intensive training with live demos
- Real-time Q&A, peer collaboration, and hands-on labs
- Led by AI Certified Trainers and delivered through Authorized Training Partners
Self-Paced Online
- ~40 hours of on-demand video lessons, e-book, podcasts, and interactive labs
- Learn anywhere, anytime, with modular quizzes to track progress
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.
