AI+ Network™

This 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.

Enroll Now
AI+ Network™
Self-Paced: $495
Instructor-Led: $595

At a Glance: Course + Exam Overview

Category AI Security, AI Technical, All Courses, Available Now, DevOps Engineer, English, Language, Network Security Engineer, Telecommunications Specialist
Program Name AI+ Network™
Duration Instructor-Led:5 Days (live or virtual) | Self-Paced:40 hours (5 Days)
Prerequisites Basic understanding of networking fundamentals. Familiarity with programming languages such as Python. Fundamental knowledge of AI and machine learning concepts. Experience with network management tools and technologies is a plus.
Exam Format 50 questions, 70% passing, 90 minutes, online proctored exam

What You'll Learn

AI-Powered Network Automation

Ability to design, implement, and manage automated network operations using AI, optimizing efficiency and reducing manual intervention.

AI-Enhanced Network Security

Expertise in utilizing AI to detect and prevent cyber threats, including AI-driven threat intelligence and network monitoring.

Network Optimization through AI

Skills in applying AI and machine learning algorithms to optimize network performance, 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, enhancing cybersecurity measures.

Certification Modules

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

Finish the course and get certified

Course Certificate

Industry Opportunities

AI Network Engineer

Responsible for designing, implementing, and maintaining AI-enhanced networks, focusing on automation, orchestration, and performance optimization.

Network Automation Specialist

Focuses on automating network functions using AI technologies, reducing manual intervention and improving network efficiency.

IOT and AI Network Specialist

Works on integrating AI with IoT networks, ensuring efficient data flow, security, and scalability in interconnected environments.

AI Network Operations Manager

Leads the management and monitoring of AI-driven network operations, ensuring high performance, minimal downtime, and rapid response to issues.

Frequently Asked Questions

Prerequisites

Exam Details

Passing Score

70%

Format

50 multiple-choice/multiple-response questions

Exam Blueprint

Networking Foundations 13%
Advanced Networking Technologies 16%
AI in Networking 16%
Network Automation and Orchestration 16%
AI-Enhanced Network Security 13%
Practical Labs and Hands-On Projects 13%
Emerging Trends and Future Directions 13%
Self-Paced Online

Self-Paced Online: 40 hours (5 Days)

Price: $495

Instructor-Led Online

Instructor-Led Online: 5 Days (live or virtual)

Price: $595

Core AI Tools Covered