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AWS Certified AI Practitioner (AIF-C01)

AWS Certified AI Practitioner (AIF-C01)

Free Practice Test

FREE
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice
  • TypeExam Format

Practice Exam

$15.99
  • No. of Questions100
  • AccessImmediate
  • Access DurationLife Long Access
  • Exam DeliveryOnline
  • Test ModesPractice, Exam
  • Last UpdatedOctober 2024

Online Course

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  • Content TypeVideo
  • DeliveryOnline
  • AccessImmediate
  • Access DurationLife Long Access
  • No of videos-
  • No of hours-
Not Available

AWS Certified AI Practitioner (AIF-C01) Exam


The AWS Certified AI Practitioner Exam is the foundational credential validates your understanding of AI, ML, and generative AI concepts, equipping candidates with in-demand knowledge that can sharpen your competitive edge. Ideal for individuals who interact with but don’t necessarily build AI/ML solutions on AWS, this certification positions you for career growth and the opportunity for higher earnings.


Who should take the AWS Certified AI Practitioner exam?

The AWS Certified AI Practitioner certification is perfect for business analysts, IT support staff, marketing professionals, product or project managers, sales professionals, and line-of-business or IT managers familiar with AI/ML technologies on AWS. The certification exam starting point if you are new to IT and the AWS Cloud, with foundational courses like AWS Cloud Practitioner Essentials recommended before taking the exam.


Knowledge Evaluated

The AWS Certified AI Practitioner (AIF-C01) exam assesses your ability to:

  • Understand AI, ML, and generative AI concepts and strategies on AWS.
  • Recognize appropriate AI/ML technologies for specific use cases.
  • Use AI, ML, and generative AI technologies responsibly.


Course Outline

The AWS Certified AI Practitioner Exam covers the following topics - 

  • Module 1: Understanding Fundamentals of AI and ML
  • Module 2: Understanding Fundamentals of Generative AI
  • Module  3: Applications of Foundation Models
  • Module  4: Understanding Guidelines for Responsible AI
  • Module  5: Understanding Security, Compliance, and Governance for AI Solutions

 

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