AI Fundamentals for Network Engineers by Arash Deljoo
Published 10/2025
Duration: 2h 33m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 809.84 MB
Genre: eLearning | Language: English
Published 10/2025
Duration: 2h 33m | .MP4 1920x1080 30 fps(r) | AAC, 44100 Hz, 2ch | 809.84 MB
Genre: eLearning | Language: English
Bridging Artificial Intelligence and Network Engineering for the Future
What you'll learn
- AI Unleashed for Network Engineers: Build Smarter, Faster, Stronger Networks
- Decoding the Network Brain: How AI Thinks, Learns, and Optimizes Connectivity
- Automate the Future: AI Skills Every Network Engineer Must Know
- Smarter Networks, Smarter Engineers: Master AI Fundamentals in Networking
- The AI Advantage: Transform Your Network Engineering Career
Requirements
- Some prior experience in IT, computer science, or systems administration is helpful but not mandatory. Anyone with a technical mindset and curiosity about AI’s impact on networking can succeed.
Description
Welcome toAI Fundamentals for Network Engineers, a comprehensive course designed to bridge the gap between artificial intelligence and modern network operations. This course introduces network engineers to the core concepts of AI and machine learning, exploring how these technologies are revolutionizing network management, automation, and security. You’ll start by understanding AI fundamentals, the different ways AI learns, and the types of AI that are shaping the future of networking. Practical topics such as prompt engineering, reducing hallucinations for accurate answers, and leveraging AI to simplify network automation are also covered. Additionally, students will gain insights into understanding network errors with AI, the limits of large language models, and Cisco’s innovative Smart AI solutions for smarter, more secure networks.
The course also provides a deep dive intoCisco AIOps, detailing its vision, tools, and how AI-driven operations are transforming traditional network management. Key topics include agentic operations, full-stack observability, the core pillars of AIOps, and a comparison of Cisco Observability Platform versus standalone AIOps solutions.
Please note that this course is currently under construction, and more content and advanced topics will be added over time. As the course evolves, learners can expect to gain an even deeper understanding of how AI can optimize, automate, and secure networks, ensuring they stay ahead in the rapidly evolving world of network engineering. Whether you are a beginner or an experienced engineer, this course provides the foundational knowledge and practical insights needed to harness AI effectively in your network operations.
Who this course is for:
- Network Engineers and Administrators
- IT Professionals and System Engineers
- Students and Recent Graduates in Networking or Computer Science
- Network Operations Center (NOC) and Security Operations Center (SOC) Teams
- Tech Enthusiasts Exploring AI in Networking
More Info