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.

Course Objectives

• You will gain a deep understanding of AI-driven networking technologies.
• Master the skills needed to implement advanced networking solutions in real-world environments.
• Proficiency in automating and orchestrating network functions using AI will be within your reach.

• Learn how to enhance network security through AI-powered techniques.
• Apply cutting-edge solutions such as Software-Defined Networking (SDN) and Network Functions Virtualization (NFV).
• Be equipped to lead innovative networking initiatives and optimize network performance.
• Stay ahead of emerging trends in networking technologies to remain competitive.
• Position yourself as an expert in AI-enhanced networking systems

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