AI+ Network Practitioner™
AT-510
Formerly known as AI+ Network™ <br> <br> Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation EfficiencyThis 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
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.
At a Glance: Course + Exam Overview
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Job Roles & Industry Outlook
Cyber Security Analyst
Protect digital assets by identifying vulnerabilities, monitoring threats, and applying AI to strengthen security defenses.
Security Compliance Analyst
Ethical Hacker / Penetration Testers
Business Analyst
Analyze business processes and ensure AI initiatives comply with legal, ethical, and regulatory standards.
Business Analyst
Data Analyst / Engineer
Industry Growth: AI+ Network Practitioner™
- Comprehensive Knowledge Covers fundamental networking concepts and advanced AI-driven technologies like SDN and NFV.
- AI-Powered Efficiency Exam assesses knowledge of how AI can optimize network performance, automation, and security
- Practical Application Assessment Exam includes scenario-based questions for real-world application of AI in networking.
- Future-Ready Skills Validates competency to adapt to the rapidly evolving AI-enhanced networking landscape.
- Leadership Opportunities Validates competency for leadership roles in the AI and networking fields.
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.
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
- Basic networking, Python, AI/ML fundamentals, and familiarity with network management tools.
Exam Details
Duration
90 minutes
Passing Score
70% (35/50)
Format
50 multiple-choice/multiple-response questions
Delivery Method
Online via AI proctored exam platform (flexible scheduling)
Exam Blueprint
- Module 1 Networking Foundations - 14%
- Module 2 Advanced Networking Technologies - 14%
- Module 3 AI in Networking - 14%
- Module 4 Network Automation and Orchestration - 14%
- Module 5 AI-Enhanced Network Security - 14%
- Module 6 Practical Labs and Hands-On Projects - 15%
- Module 7 Emerging Trends and Future Directions - 15%
Choose the Format That Fits Your Schedule
What's Included (One-Year Subscription + All Updates):
- 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
- Access for Tablet & Phone
Frequently Asked Questions
The course includes a mix of theoretical knowledge and practical applications, culminating in an interactive capstone project. This structure ensures that participants gain both conceptual understanding and hands-on experience.
This course is ideal for developers, IT professionals, and anyone with a foundational understanding of AI and cloud computing who wants to enhance their skills in integrating AI with cloud platforms like AWS, Azure, or Google Cloud.
Participants will learn to develop, deploy, and manage AI models on leading cloud platforms. Skills include optimizing AI model performance, ensuring security, meeting compliance standards, and applying AI and cloud concepts to solve real-world problems.
This certification enhances your professional profile by demonstrating proficiency in integrating AI with cloud computing. It equips you with in-demand skills, giving you a competitive edge in the job market and opening doors to lucrative career opportunities.
The certification includes an interactive capstone project where participants apply their knowledge to design and implement AI solutions within cloud environments. This project is designed to simulate real-world scenarios and challenges.