Current

Intermediate

40% Off

DevOps and AI on AWS

Coursera · Amazon Web Services · Updated March 2026

Platform rating

4.4/5

AI Tutor Rating

8.2/10

Duration

1-3 months

Classes

60

Learn DevOps practices for AI on AWS including CI/CD, Infrastructure as Code, containerization, and serverless computing.

What you'll get

Build AI systems on AWS

Implement CI/CD for ML deployments

Deploy containerized AI applications

Course Curriculum

6 chapters

Fit

Best for

Software Engineers

DevOps/MLOps Engineers

Data Engineers

Platform Engineers

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Basic AWS knowledge

Pricing

Subscription

Certification

Certificate

Growth Leverage: Completing this course positions you for advanced roles such as DevOps Engineer, AI/ML Engineer, or Cloud Solutions Architect. You may also pursue certifications like AWS Certified DevOps Engineer or AWS Certified Machine Learning, opening opportunities to lead projects in organizations leveraging AI on cloud platforms.

Skills Value: The skills gained allow you to design and implement scalable AI solutions, a high-demand area, with salaries for roles like Cloud DevOps Engineer averaging $130,000 annually. Employers value expertise in CI/CD and containerization, especially in sectors focused on deploying AI technology efficiently.

AWS

DevOps

CI/CD

CloudFormation

Serverless

Bedrock

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