This course equips professionals with essential knowledge and advanced skills to grasp the integration of artificial intelligence with modern networking technologies. It covers core networking concepts, emerging technologies like SDN and NFV, and how AI enhances network efficiency. Key focus areas include AI-driven network automation, orchestration, and security enhancements, along with hands-on projects and practical labs for real-world application. The course concludes with insights into new advancements and future trends in AI-powered networking, preparing students for leadership roles in this rapidly evolving field. Upon completion, participants gain a competitive edge with an AI network security certification to advance their careers.

Certification Duration: 40 hours (5 Day)

Prerequisites

• Basic understanding of networking fundamentals is essential for AI network protection training.

• Familiarity with programming languages such as Python is beneficial to learn AI network systems.

• Fundamental knowledge of AI and machine learning concepts helps in mastering AI-driven networking.

• Experience with network management tools and technologies is a plus for applying AI in network security.

Exam Details

• Modules – 7

• Examination – 1

• 50 MCQs - 90 Minutes

• Passing Score - 70%

Certification Modules

• Module 1: Networking Foundations

• Module 2: Advanced Networking Technologies

• Module 3: AI in Networking

• Module 4: Network Automation and Orchestration

• Module 5: AI-Enhanced Network Security

• Module 6: Practical Labs and Hands-On Projects

• Module 7: Emerging Trends and Future Directions

Tools

• Elastic

• Juniper

• Netdata

Exam Objectives

• AI-Powered Network Automation
  Ability to design, implement, and manage automated network operations using AI, with AI network infrastructure training optimizing efficiency and reducing manual intervention.

• AI-Enhanced Network Security
  Expertise in utilizing AI to detect and prevent cyber threats, with AI network design certification enhancing AI-driven threat intelligence and network monitoring.

• Network Optimization through AI
  Skills in applying AI and machine learning algorithms to optimize network performance, helping professionals become an AI network expert by improving speed, reliability, and scalability.

• AI for Incident Response and Cybersecurity Intelligence
  Ability to leverage AI for real-time network security incident detection, response, and forensics, with AI network infrastructure training strengthening cybersecurity measures.