AT-510
AI+ Network Practitioner™
Validate Your Expertise in Networking: Harness AI for Automation, Security, and Next-Generation Efficiency
At a glance
What is included
Duration
- Instructor-Led: 5 days (live or virtual)
- Self-Paced: 40 hours of content
Recommended background
Examination
About this certification
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.
Curriculum
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.
Who should enrol
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.
Related certifications
Ready to get certified?
Speak to Trustview about scheduling, group rates and examination logistics for AI+ Network Practitioner™.
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