Linkedin Learning – AI Techniques for Networking
English | Tutorial | Size: 139.80 MB
Join instructor Ryan Hu in this beginner-friendly course to gather comprehensive insights into AI and machine learning-driven techniques for networking. Ryan explores cutting-edge technologies that seamlessly integrate AI principles into traditional networking frameworks, before diving into more specific topics such as root cause analysis, predictive analytics, and dynamic resource allocation tailored for optimizing network management and performance.
Uncover the potential of using AI-driven solutions to predict and prevent threats and enhance overall system efficiency. With typical and real-world examples, you’ll also get an opportunity to gain practical experience with applying AI techniques to solve everyday networking challenges. Whether you’re a networking professional seeking to stay ahead in the digital age or an AI enthusiast eager to upskill for the future, by the end of this course, you’ll be equipped with the know-how and expertise to navigate the future of intelligent, efficient networking.
Learning Objectives:
• Master AI and machine learning technologies and their practical applications for networking
• Streamline network management and operations with AI
• Utilize AI for network optimization to enhance network performance
• Apply AI to improve network security and resilience
• Explore the challenges and future trends of AI for networking
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