Development & Engineering · Self-paced

AI+ Network™

Master AI-Driven Network Engineering, Automation, and Performance Optimization.

40 hours of content EnglishSelf-paced · online · certificate on completionCertification exam included · limited attempts

Executive summary

The AI+ Network™ certification 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.

Built for these roles

DevOps EngineerNetwork Security EngineerTelecommunications Specialist

Before you start

  • 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.

One-time price

$280

40 hours, self-paced. Lifetime access, certificate included.

Certification exam included (limited attempts).

Secure checkout via Stripe. Instant access after payment.

Curriculum

What you'll cover.

40 hours of self-paced content. Work through it in order, on your schedule.

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

6.4 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

Ready to get certified?

Start today, learn at your own pace, and add a globally recognised credential to your name.

Trusted by governments and enterprises across the GCC.