intermediate6 Bytes15m / Byte

Understanding AI Infrastructure

This course provides a practical overview of AI infrastructure, covering essential components such as GPUs, TPUs, cloud services (AWS, Azure, GCP), and containerisation with Docker and Kubernetes. Learners will be able to design and deploy basic AI infrastructure setups suitable for model training and inference.

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Lessons
6
Price
Free
Course Curriculum

What you'll learn

3 Modules
6 Lessons
~30m total
01
01
Module 01
AI Infrastructure Fundamentals
This module introduces the core components that underpin AI systems, from hardware to software. We will cover GPUs, TPUs, and cloud services, highlighting their roles in model training and inference.
2 lessons10 min
0%
▾
02
02
Module 02
Deployment and Containerisation
This module covers how to deploy AI models using containerisation, focusing on Docker and Kubernetes. We will explain how these technologies streamline the deployment process and enhance scalability.
2 lessons10 min🔒 Locked
0%
▾
03
03
Module 03
Core AI Infrastructure
This module covers the foundational elements of AI infrastructure. You'll learn about the different cloud services available and how to choose the right hardware based on your specific AI workload needs. We will discuss AWS, Azure and GCP.
2 lessons10 min🔒 Locked
0%
▾
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