[NEW] AWS Certified AI Practitioner AIF-C01

Jairo Pirona connects AI and machine-learning concepts with AWS use cases, responsible practices and security. The sequence includes hands-on study alongside the conceptual material. It suits learners with basic cloud familiarity who want to explain how an AWS AI capability applies to a concrete task, then identify which limitations or responsibilities must be addressed before that capability can be used effectively.

What you will learn

• Review AI, ML and generative-AI foundations.
• Connect concepts with practical AWS use cases.
• Explore responsible practices and AI security.

Who this suits

Basic computing and cloud skills are required, with an AWS account for hands-on work. Beginner is an editorial estimate. Review service charges before following any demonstration in your own account.

Before you enroll

A course completion certificate is separate from the AWS certification exam, which requires its own registration and fee. Compare any exam-preparation syllabus with the current official exam guide. Cloud demonstrations can incur AWS charges; review pricing and permissions before creating resources, use fictional data and remove practice resources when finished. Foundational AI knowledge helps with service selection, but completing a course does not by itself demonstrate production engineering experience or guarantee an exam result.

Udemy offers paid purchase or subscription access depending on the current course and region. Paid teaching courses provide completion certificates under Udemy’s policy. Check current access terms and any separate software or material costs before enrolling.

Put it into practice

Plan a fictional AI proof of concept with a clearly stated input and expected result. Identify the relevant AWS capability, list one security responsibility and explain what evidence would justify continuing the experiment.

Source and review

This overview is based on the provider's published information, checked on 12 October 2026. It is an editorial assessment, not a claim that we completed the resource. Time filters are approximate study ranges; projects and exercises can take longer.

Where a formal level is unavailable, the level filter is an editorial estimate based on the published audience and requirements. Duration filters reflect the listed video time; exercises and independent practice can take longer.

View the curriculum and current access options at Udemy.

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Supporting provider sources

• support.udemy.com: supporting course information
• aws.amazon.com: supporting course information