AWS Certified AI Practitioner
- 324 questions
- Expert-level explanations
- Simulation exam mode
- Customized exam mode
- Pass-or-money-back guarantee
- Last updated: 04/27/2025
AWS Certified AI Practitioner Overview
As artificial intelligence and machine learning continue to transform industries, the demand for professionals who understand AI technologies and their practical applications has grown exponentially. AWS, a cloud computing, and AI services leader has designed the AWS Certified AI Practitioner certification to validate an individual's broad understanding of AI/ML concepts, generative AI technologies, and AWS AI services.
Why Get Certified?
Obtaining the AWS Certified AI Practitioner certification demonstrates to employers that you possess a foundational understanding of AI and ML concepts, particularly in the AWS ecosystem. With AI becoming increasingly integral to business operations, many organizations seek professionals who can effectively identify AI opportunities, understand AI capabilities and limitations, and work with AI technologies responsibly. This certification is valuable for both technical and non-technical professionals who want to demonstrate their ability to contribute to AI initiatives within their organizations.
How to Get Certified
The AWS Certified AI Practitioner certification is designed for individuals with up to 6 months of exposure to AI/ML technologies on AWS. While specific work experience is not required, candidates should have:
- Familiarity with core AWS services like Amazon EC2, Amazon S3, AWS Lambda, and Amazon SageMaker
- Understanding of the AWS shared responsibility model
- Knowledge of AWS Identity and Access Management (IAM)
- Basic understanding of AWS global infrastructure
Key Knowledge Areas
The certification exam is divided into five domains:
- Fundamentals of AI and ML (20%) -- Basic AI concepts and terminology -- Practical use cases for AI -- ML development lifecycle
- Fundamentals of Generative AI (24%) -- Core generative AI concepts -- Capabilities and limitations -- AWS infrastructure for generative AI
- Applications of Foundation Models (28%) -- Design considerations -- Prompt engineering techniques -- Model training and evaluation
- Guidelines for Responsible AI (14%) -- Responsible AI development -- Model transparency and explainability
- Security, Compliance, and Governance (14%) -- AI system security -- Governance and compliance regulations
What to Expect
To successfully pass the AWS Certified AI Practitioner exam, candidates must demonstrate their ability to:
- Understand AI, ML, and generative AI concepts and methods
- Identify appropriate AI/ML technologies for specific use cases
- Apply AI technologies responsibly
- Work with AWS AI services effectively
- Understand security and compliance considerations for AI systems
The exam consists of 50 scored questions and 15 unscored questions, with a passing score of 700 out of 1000. Question formats include multiple choice, multiple response, ordering, and case studies.
What's Not Expected
It's important to note that this certification does not expect candidates to:
- Develop or code AI/ML models
- Implement data engineering techniques
- Perform hyperparameter tuning
- Build and deploy AI/ML pipelines
- Conduct mathematical or statistical analysis of models
- Implement security protocols for AI systems
Frequently Asked Questions
The AWS Certified AI Practitioner certification validates your understanding of AI/ML fundamentals, generative AI technologies, and AWS AI services. It's a foundational-level certification demonstrating your ability to identify AI business opportunities and implement AI solutions using AWS services.
This certification is ideal for individuals who work with AI/ML technologies on AWS but don't necessarily build solutions themselves. It's suitable for technical professionals seeking to specialize in AI/ML and business professionals who need to understand AI capabilities and implementation.
While there are no formal prerequisites, candidates typically benefit from:
- 6 months of exposure to AI/ML technologies on AWS
- Basic familiarity with AWS core services
- Understanding of AWS security fundamentals
- Basic knowledge of AWS pricing models
The certification is valid for three years from the date of achievement.
The exam includes:
- 65 questions (50 scored + 15 unscored)
- 90-minute duration
- Multiple choice, multiple response, ordering, matching, and case study questions
- Passing score: 700 out of 1000
The registration fee varies by region and exam format (online or test center). AWS often offers discounted pricing during beta periods and provides a 50% discount voucher for your next exam upon passing.
Key services to understand include:
- Amazon SageMaker and its components
- Amazon Bedrock
- AWS AI services (Comprehend, Rekognition, etc.)
- Core AWS services (IAM, S3, EC2)
- Security and compliance services