Interact with the instructor, Ryan Hu, in this fundamental level course, "AI Techniques for Networking,” to learn ways to change the networking experience by utilizing AI and machine learning. Company’s profile: Ryan will still introduce one new technology, AI, to develop new networking methods. Some of the imperative skills as network engineers that the course will equip you with include determining network faults or potential ones and allocating resources to improve the network's performance, among others.
At the completion of the course “AI Techniques for Networking,” you will recognize how risks can be mitigated or avoided using AI and how all-round networking effectiveness can be enhanced. Using actual case scenarios, you will gain awareness about how AI concepts can be implemented to solve real-life issues in the domain of networking. Regardless if you are a networking professional in search of tools to maintain relevancy in today’s market or an AI devotee seeking to expand your areas of interest, it will be beneficial to undertake this course as it prepares you for the future of intelligent networking.
AI Techniques for Networking Table of Contents:
- Introduction
- Introduction to AI in Networking
- AI-Driven Network Management
- AI-Driven Network Optimization
- AI-Driven Network Security and Resilience
- Challenges and Future Trends
- Conclusion
Who is this course for?
- Networking professionals desire to know the existing and emerging technologies in their field.
- Students who want to get additional knowledge for simple employment in the field of artificial intelligence development.
- Entry-level that had no previous knowledge of artificial intelligence or machine learning.
- Persons interested in intensifying their skills in the sphere of network management.
- Specific targets could still be seen as the students or hobbyists who are caught up with the progress of networking and AI.
