Coursera

AI Infrastructure and Operations Fundamentals

Hybrid

11 hours

English

Generative AI

Course Overview

AI Infrastructure and Operations Fundamentals introduces key AI concepts and the foundational principles that support AI technologies. Covering everything from machine learning to the latest generative AI advances, this course walks learners through the evolution of AI technologies, providing real-world examples of AI’s transformative power across industries. It then moves to discuss the deployment of AI models in both cloud and on-prem data centers, with a focus on deep learning frameworks and the AI software stack.

Tailored for professionals in the AI infrastructure space, this course is critical for those looking to stay ahead of the curve in AI deployment. Whether you’re a system administrator, a DevOps engineer, or an IT professional, you’ll learn about the strategic considerations and technical skills required to deploy AI at scale. Successful completion also offers preparation for the NVIDIA-Certified Associate: AI Infrastructure and Operations certification exam, validating your expertise and supporting professional growth.

What You'll Learn

- AI Technologies Overview: Understand the evolution of AI technologies and their current impact across industries.
- AI Software Stack Familiarity: Gain experience with deep learning frameworks and the AI software stack for developing AI models.
- Infrastructure Deployment: Learn how to deploy AI workloads in data centers, cloud environments, or hybrid models.
- Certification Preparation: Prepare for the NVIDIA-Certified Associate exam, a credential that validates your expertise in AI infrastructure and operations.