FoundationalAWS

AWS Certified AI Practitioner — Study Guide & Exam Overview

As AI becomes central to every industry, this certification demonstrates you understand how to leverage AWS AI tools responsibly. It is especially valuable for product managers, business analysts, and developers who need to evaluate and implement AI solutions without necessarily building models from scratch.

Duration

90 min

Passing Score

700 / 1000 points

Level

Foundational

Provider

AWS

What This Certification Covers

  • Fundamentals of AI, machine learning, and generative AI concepts
  • AWS AI/ML services: Bedrock, SageMaker, Rekognition, Comprehend, Textract
  • Foundation models, large language models, and prompt engineering basics
  • Responsible AI: fairness, bias, explainability, and governance
  • Security and compliance considerations for AI workloads on AWS

Exam Domain Breakdown

  • AI & ML Fundamentals (20%)
  • Generative AI (24%)
  • Foundation Models (28%)
  • Responsible AI (14%)
  • Security & Compliance (14%)

Exam Format

65 multiple-choice and multiple-response questions, 90 minutes, no hands-on lab component

Study Tips to Pass AI Practitioner

  1. 1Understand the distinction between AI, ML, deep learning, and generative AI — questions test conceptual clarity
  2. 2Study AWS Bedrock thoroughly: model selection, guardrails, knowledge bases, and agents
  3. 3Learn Retrieval-Augmented Generation (RAG) and how it improves foundation model accuracy
  4. 4Review responsible AI principles: bias detection, model transparency, and data privacy
  5. 5Complete the AWS Skill Builder 'Generative AI Foundations' learning plan before taking the exam

Ready to test your knowledge? Take a free timed mock exam below.

Official AI Practitioner exam page