Course Objectives

• Understand AI and Networking Principles: Comprehend the fundamental concepts of artificial intelligence (AI) and its role in networking, emphasizing optimization and automation.
• Apply AI for Network Performance Enhancement: Implement AI techniques to improve network efficiency, including traffic management, load balancing, and resource distribution.
• Utilize AI Algorithms for Network Security: Use AI algorithms for real-time threat detection and automated responses to address network vulnerabilities, reducing security risks.
• Leverage Machine Learning Models for Traffic Analysis: Employ machine learning models to analyze network traffic patterns, identify anomalies, and optimize bandwidth usage.
• Develop Smart Network Management Strategies: Formulate proactive strategies for managing networks that utilize AI to anticipate problems and boost operational effectiveness.
• Engage in Network Monitoring and Diagnostics: Learn and apply monitoring techniques, leveraging AI tools to identify, diagnose, and resolve network issues swiftly.
• Familiarize with AI-Driven Network Automation Tools: Gain knowledge of various AI-based tools that automate network configurations and enhance management processes.
• Capstone Project Integration: Combine the knowledge and skills acquired throughout the course in a capstone project that tackles real-world networking challenges, focusing on AI implementations.