Artificial Intelligence and Machine Learning Courses

AI+ Network

Length 5 days
Price NZD 4350 exc GST
Inclusions Exam Voucher

Course overview

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Why study this course

The AI+ Network course provides professionals with the basic knowledge and advanced skills needed to understand the combination of artificial intelligence and current networking technologies. It discusses fundamental networking concepts, newer technologies such as SDN and NFV, and how AI can enhance network efficiency. Important focus areas consist of AI-powered network automation, orchestration, and security upgrades, combined with hands-on projects and practical labs for real-life implementation. The class ends by examining new developments and upcoming pathways in AI enhanced networking, getting students ready for leading positions in this quickly changing sector.

Exam and certification

This course also prepares students for the AI+ Network certification, and an exam voucher is included with the course.

The exam is:

90 minutes
50 multiple choice / multiple response questions
Pass mark is 35 out of 50 (i.e. 70%)
Online via AI Proctoring platform

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What you’ll learn

This course is designed to teach participants how to:

Gain a deep understanding of AI-driven networking technologies
Master the skills needed to implement advanced networking solutions in real-world environments
Automate and orchestrate network functions using AI
Enhance network security through AI-powered techniques
Apply cutting-edge solutions such as Software-Defined Networking (SDN) and Network Functions Virtualisation (NFV)
Be equipped to lead innovative networking initiatives and optimise network performance
Stay ahead of emerging trends in networking technologies to remain competitive
Position yourself as an expert in AI-enhanced networking systems

AI CERTs at Lumify Work

AI CERTs™ stands at the forefront of AI and blockchain certification, offering world-class programs that prepare individuals to lead in these rapidly growing fields. AI CERTs courses and certifications are vendor agnostic and designed to bridge the gap between theoretical knowledge and practical application, ensuring learners are equipped to make an immediate impact in their careers.
Lumify Work is an Authorized Training Partner for AI CERTs in Australia, New Zealand, and the Philippines.

View all AI CERTs at Lumify Work courses

Who is the course for?

This course is intended for:

Network Engineers
Cybersecurity Professionals
AI Developers
IT Professionals

Course subjects

Module 1: Networking Foundations

Basic Networking Concepts
Networking Protocols and Standards
Network Infrastructure and Design
Introduction to Network Security

Module 2: Advanced Networking Technologies

Network Virtualisation and Cloud Networking
Emerging Network Architectures
Advanced Routing and Switching
Network Storage and Data Centers

Module 3: AI in Networking

Introduction to AI and Machine Learning
AI-Driven Network Optimisation
AI for Network Security and Threat Detection
AI-Enhanced Network Management

Module 4: Network Automation and Orchestration

Fundamentals of Network Automation
AI-Driven Network Orchestration
Policy-Driven Network Management
Case Studies in Network Automation

Module 5: AI-Enhanced Network Security

Advanced Threat Detection with AI
Secure Network Design and Architecture
AI for Cybersecurity Intelligence
Ethical Considerations in AI-Driven Security

Module 6: Practical Labs and Hands-On Projects

Network Simulation and Emulation
AI-Driven Network Automation Projects
Capstone Project (Using Google Colab and Azure cloud)

Module 7: Emerging Trends and Future Directions

Future of AI in Networking
AI-Powered IoT Networks
Blockchain and AI in Networking
Continuous Learning and Career Development

Prerequisites

Basic understanding of networking fundamentals
Fundamental knowledge of AI and machine learning concepts
Familiarity with programming languages such as Python
Experience with network management tools and technologies is a plus

Terms & Conditions

The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.