AWS Certified AI Practitioner (CAIP)

AWS Certified AI Practitioner validates in-demand knowledge of artificial intelligence (AI), machine learning (ML), and generative AI concepts and use cases. Sharpen your competitive edge and position yourself for career growth and higher earnings.

Who should earn AWS Certified AI Practitioner?

The ideal candidate for this exam is familiar with AI/ML technologies on AWS and uses, but does not necessarily build AI/ML solutions on AWS.

If you are new to IT and AWS Cloud, you should first start with AWS Cloud Practitioner Essentials or AWS Technical Essentials.

Certified individuals holding the AWS Certified Cloud Practitioner or an Associate-level AWS Certification do not need to take the foundational cloud courses and can start with free AI foundational training also included in the Exam Prep Plans.

How will the AWS Certified AI Practitioner help my career?

Professionals in roles such as sales, marketing, and product management will be better positioned to succeed in their careers by building their skills through training and validating knowledge through certifications like AWS Certified AI Practitioner.

Per a November 2023 AWS study, Employers are willing to pay 43% more to hire AI-skilled workers in sales, marketing, 42% more for those in finance, 41% more for business operations, and 47% more for IT professionals.

How is AWS Certified AI Practitioner different from AWS Certified Cloud Practitioner?

AWS Certified Cloud Practitioner focuses on overall knowledge of AWS Cloud and gives a foundational-level overview of all AWS services. AWS Certified AI Practitioner covers the breadth of AI frameworks, concepts, and associated AWS technologies, with an emphasis on generative AI. The exam content outline for Cloud Practitioner contains only one task statement related to AI.

In contrast, the entire exam content outline for AWS Certified AI Practitioner focuses on AI, ML, and generative AI. You should take the exam that best aligns with your interests and needs. You also have the option to earn both certifications if you want to demonstrate a strong grasp of both AWS cloud and AI/ML.

What certification(s) should I earn next after AWS Certified AI Practitioner?

For individuals transitioning to cloud careers, we recommend AWS Certified Solutions Architect – Associate (ACSAA). For those pursuing careers in data, AI, and machine learning, we recommend AWS Certified Data Engineer - Associate (AWCDEA) and/or AWS Certified Machine Learning Engineer - Associate (CMLEA).

Exams and recommended training

Recommended Training:
Exam overview:
  • Category: Foundational
  • Exam duration: 90 minutes
  • Exam format: 65 questions
  • Cost: ]price currency=USD]100[/price].
  • Intended candidate: Individuals who are familiar with, but do not necessarily build, solutions using AI/ML technologies on AWS
  • Candidate role examples: Business analyst, IT support, marketing professional, product or project manager, line-of-business or IT manager, sales professional
  • Testing options: Pearson VUE testing center or online proctored exam
  • Languages offered: English, Japanese, Korean, Portuguese (Brazil), and Simplified Chinese

The exam includes these topics:

  • Fundamental concepts and terminologies of AI, ML and generative AI
  • Use cases of AI, ML and generative AI
  • Design considerations for foundation models
  • Model Training and fine tuning
  • Prompt engineering
  • Foundation model evaluation criteria
  • Responsible AI
  • Security and compliance for AI systems

Recertification

This certification is valid for 3 years. Before your certification expires, you can recertify by passing the latest version of this exam, or by earning the AWS Certified Machine Learning Engineer - Associate, which will automatically recertify this certification.