Deep Learning A-Z 2026: Mạng Nơ-ron, AI & Giải thưởng ChatGPT
Kirill Eremenko
AI Fundamentals for Network Engineers by Arash Deljoo
Welcome to AI 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 into Cisco 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.
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