AI+ Network
Transform the Future of Networking with AI.
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.
Prerequisites
- Basic Networking Fundamentals: Understanding of networking principles, including TCP/IP, routing, and subnetting.
- Programming Experience: Familiarity with Python or other programming languages for implementing AI-driven networking solutions.
- Knowledge of AI and Machine Learning: Foundational concepts such as supervised learning, reinforcement learning, and neural networks.
- Experience with Network Tools: Prior use of network monitoring and management tools is advantageous.
- 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).
Course Outline
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