Course Description

The AI+ Network™ certification course equips professionals with the essential knowledge and technical skills to master the intersection of artificial intelligence and advanced networking technologies. This program delves into core networking concepts such as Software-Defined Networking (SDN) and Network Function Virtualization (NFV) while exploring how AI revolutionizes network efficiency, scalability, and security. Participants will learn AI-powered automation techniques, orchestration strategies, and network optimization methods, enabling them to implement intelligent and efficient network operations. With hands-on projects and cutting-edge labs, learners gain practical experience to address real-world challenges. This certification prepares candidates to excel in AI-enhanced networking environments and secure leadership roles in the fast-evolving tech landscape.

Course Objectives

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.

    Course Agenda

      Module 1: Networking Foundations

      1.1 Basic Networking Concepts

      1.2 Networking Protocols and Standards

      1.3 Network Infrastructure and Design

      1.4 Introduction to Network Security

      Module 2: Advanced Networking Technologies

      2.1 Network Virtualization and Cloud Networking

      2.2 Emerging Network Architectures

      2.3 Advanced Routing and Switching

      2.4 Network Storage and Data Centers

      Module 3: AI in Networking

      3.1 Introduction to AI and Machine Learning

      3.2 AI-Driven Network Optimization

      3.3 AI for Network Security and Threat Detection

      3.4 AI-Enhanced Network Management

      Module 4: Network Automation and Orchestration

      4.1 Fundamentals of Network Automation

      4.2 AI-Driven Network Orchestration

      4.3 Policy-Driven Network Management

      4.4 Case Studies in Network Automation

      Module 5: AI-Enhanced Network Security

      5.1 Advanced Threat Detection with AI

      5.2 Secure Network Design and Architecture

      5.3 AI for Cybersecurity Intelligence

      5.4 Ethical Considerations in AI-Driven Security

      Module 6: Practical Labs and Hands-On Projects

      6.1 Network Simulation and Emulation

      6.2 AI-Driven Network Automation Projects

      6.3 AI for Network Security Projects

      6.4 Capstone Project (Using Google Colab and Azure cloud)

      Module 7: Emerging Trends and Future Directions

      7.1 Future of AI in Networking

      7.2 AI-Powered IoT Networks

      7.3 Blockchain and AI in Networking

      7.4 Continuous Learning and Career Development

      Optional Module: AI Agents for Network Management

      1. Understanding AI Agents

      2. Case Studies

      3. Hands-On Practice with AI Agents

    Why Edtech ?

    • Industry Experienced; Internationally Qualified Trainers
    • Hands-on Practical Sessions & Assignments
    • Intensive Study materials
    • Flexible Schedules
    • Realistic training methodology
    • High-Quality Training in Affordable Course Fees
    • Achievement Certificate, as approved by the Ministry of Education (Abu Dhabi Center for Technical and Vocational Education Training - ACTVET), HABC, AWS, IAOSHE, SHRM, etc.