1. What is the AWS Certified AI Practitioner (AIF-C01) certification?
The AWS Certified AI Practitioner certification is designed for individuals who can demonstrate a comprehensive understanding of Artificial Intelligence (AI), Machine Learning (ML), and generative AI concepts, as well as their associated AWS services and tools. It validates foundational knowledge in these areas and their practical applications on AWS.
2. Who is the target audience for this certification?
This certification is ideal for professionals such as business analysts, IT support, marketing professionals, product or project managers, line-of-business or IT managers, and sales professionals. The target candidate typically has up to six months of exposure to AI/ML technologies on AWS and uses, rather than builds, AI/ML solutions.
3. What are the main domains covered in the AIF-C01 exam?
The exam covers five key domains:
- Fundamentals of AI and ML
- Fundamentals of Generative AI
- Applications of Foundation Models
- Guidelines for Responsible AI
- Security, Compliance, and Governance for AI Solutions
4. What types of questions can I expect on the exam?
The exam includes various question types, such as multiple choice (one correct answer), multiple response (two or more correct answers), ordering (placing responses in correct sequence), matching (pairing prompts with responses), and case study questions (multiple questions based on a single scenario).
5. What is the passing score for the AWS Certified AI Practitioner exam?
The exam is scored on a scale of 100 to 1,000, with a minimum passing score of 700. The scoring model is compensatory, meaning you do not need to pass each individual section, but rather achieve the overall passing score for the entire exam.
6. How much does the AWS Certified AI Practitioner (AIF-C01) exam cost?
The registration fee for the AWS Certified AI Practitioner exam can vary. Check the official exam page.
7. How long is the AWS Certified AI Practitioner certification valid?
The AWS Certified AI Practitioner certification is valid for three years. To recertify, you can either pass the latest version of this exam or achieve the AWS Certified Machine Learning Engineer – Associate certification, which will automatically renew your AI Practitioner certification.
8. What are some recommended AWS services in scope for this exam?
Key AWS services and features in scope for the exam include Amazon SageMaker, Amazon Bedrock, Amazon Comprehend, Amazon Lex, Amazon Polly, Amazon Q, Amazon Rekognition, Amazon Transcribe, and Amazon Translate. It also covers foundational services like Amazon EC2, Amazon S3, AWS Lambda, and AWS Identity and Access Management (IAM).
9. What roles are typically not expected to build AI/ML solutions, but still benefit from this certification?
The certification is for individuals who primarily use AI/ML solutions rather than developing or coding AI/ML models or algorithms. Tasks such as implementing data engineering, performing hyperparameter tuning, building and deploying AI/ML pipelines, or conducting mathematical analysis of models are generally out of scope for the target candidate.
10. What preparation resources are available for the AWS Certified AI Practitioner (AIF-C01) exam?
AWS offers a structured 4-step preparation plan through AWS Skill Builder. This includes reviewing the exam guide, enrolling in digital courses, engaging in hands-on practice with AWS Builder Labs, AWS Cloud Quest, and AWS Jam, reviewing exam scope and topics, and taking the AWS Certification Official Pretest to assess readiness. Free AI foundational training is also available for those with existing AWS Cloud Practitioner or Associate-level certifications.
