Description
If you’ve ever wondered what actually powers modern AI, this course breaks it all down in a simple, beginner-friendly way. No heavy engineering jargon, no complex math — just clear explanations of the hardware and systems behind today’s AI models.
We start with the basics: what GPUs really do, why they’re so important for machine learning, and how they differ from regular CPUs. From there, you’ll get a look inside real data centers, how AI clusters are put together, and why everyone keeps talking about things like CUDA, H100 GPUs, and the new GH200 superchips.
This course is designed for anyone who wants to understand AI infrastructure without feeling overwhelmed. Whether you’re a new ML engineer, a developer curious about the backend of AI, or someone who just loves the tech behind the scenes — you’ll walk away finally understanding how the whole system fits together.
This course is for you if:
-
you’re starting in AI/ML and want to understand the hardware side;
-
you’re a developer who needs a clear overview of GPUs and cloud compute;
-
you’re an AI enthusiast who wants to go beyond surface-level explanations;
-
you’re a student or junior engineer preparing for real-world AI projects.
Reviews
There are no reviews yet.