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.

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Includes:

Ideal candidates for this course:

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.

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.
There are no mandatory prerequisites for certification. Certification is based solely on performance in the examination. However, candidates may choose to prepare through self-study or optional training offered by AI CERTS Authorized Training Partners (ATPs).

Content

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

After completing this course you will be able to:

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