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Chetan Agrawal

AWS Certified AI Practitioner (AIF-C01) -Everything You Need

Explore Chetan Agrawal’s AWS AI course on foundations, prompting, RAG, model customization, evaluation, agents and responsible workload governance.

PaidMixed10+ hoursEnglishCertificateAWS AI Practitioner
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Opens on the provider’s site. Check current access and certificate terms there.

Course overview

Chetan Agrawal connects AWS AI foundations with foundation models, prompting, retrieval, customization and evaluation. Agents and governance extend the core concepts into practical solution considerations. It suits learners who want a broad taught sequence and can explain how a design choice changes the system’s behavior, rather than view every topic as an isolated definition to memorize for an assessment.

What you will learn

  • Explore AI, ML and generative-AI foundations.
  • Compare prompting, RAG, customization and evaluation.
  • Review agents, responsible AI and workload governance.

Who this suits

No prior AI or machine-learning experience is required. Mixed levels is an editorial classification across foundations and applied concepts. The listed videos total about twelve hours and forty-three minutes.

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

Compare retrieval and model customization for a fictional internal knowledge task. Describe what each approach changes, identify an evaluation example and explain how you would avoid exposing real confidential information during practice.

Source and review

This overview is based on the provider's published information, checked on . 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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At a glance

Provider
Udemy
Learning format
Course
Price
Paid
Level
Mixed levels
Study time (approx.)
10+ hours
Language
English
Certificate
Available; check provider terms
Created by
Chetan Agrawal
Page updated
12 Oct 2026