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This self-paced AI in Networking course brings together AI applications for networking and the networking technologies that power AI infrastructure. Designed for AI for Network Engineers, it explains where AI, Machine Learning (ML), and Deep Learning fit in day-to-day operations and how to architect networks that support training, inference for LLMs, foundational models, and GenAI workloads.
You’ll clarify what AI, ML, and Deep Learning mean in practice and why they matter to network engineers. Key drivers include automation, optimization, and analytics, with a focus on improving network design, operations, and security.
Build a working vocabulary and mental model for supervised, unsupervised, and reinforcement learn...
You need to enroll in "AI for Network Engineers & Networking for AI Course" course to download these files.
He created OrhanErgun.Net 10 years ago and has been serving the IT industry with his renowned and awarded training.
Wrote many books, mostly on Network Design, joined many IETF RFCs, gave Public talks at many Forums, and mentored thousands of his students.
Today, with his carefully selected instructors, OrhanErgun.Net is providing IT courses to tens of thousands of IT engineers.
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