AIF-C01 preparation, what kind of AI knowledge does AWS actually test?

The AWS Certified AI Practitioner (AIF-C01) exam strikes a balance between foundational AI concepts and practical AWS service knowledge, with an emphasis on business applications rather than technical implementation.

Exam Structure and Focus Areas:

The exam covers five content domains with specific weightings:

• Fundamentals of AI and ML (20%)
• Fundamentals of Generative AI (24%)
• Applications of Foundation Models (28%)
• Guidelines for Responsible AI (14%)
• Security, Compliance, and Governance for AI Solutions (14%)

General AI Concepts vs. AWS Services:

You'll need both. The exam tests fundamental AI terminology including AI, ML, deep learning, neural networks, computer vision, natural language processing, and concepts like supervised/unsupervised learning and reinforcement learning. However, it equally emphasizes understanding AWS managed AI/ML services and their capabilities, including Amazon SageMaker AI, Amazon Transcribe, Amazon Translate, Amazon Comprehend, Amazon Lex, and Amazon Polly.

Key Knowledge Areas:

• Recognizing when AI/ML can provide value (automation, scalability, decision support) and when it's not appropriate
• Selecting appropriate ML techniques for specific use cases (regression, classification, clustering)
• Understanding the ML development lifecycle components including data collection, preprocessing, model training, evaluation, and deployment
• Real-world AI applications like fraud detection, forecasting, recommendation systems, and speech recognition
• MLOps fundamentals and model performance metrics

Exam Format:

The exam includes 65 total questions (50 scored, 15 unscored) featuring multiple choice, multiple response, ordering, and matching question types. These newer question formats focus on practical thinking and applying knowledge to real-world scenarios.

Preparation Resources:

AWS Skill Builder and AWS Educate offer structured learning paths with interactive tools, including the AWS Escape Room: Exam Prep for AWS Certified AI Practitioner, which gamifies the learning experience. Hands-on labs are particularly valuable for bridging the gap between understanding concepts and applying them with actual AWS services.

The target candidate should have up to six months of exposure to AI/ML technologies on AWS and basic AWS knowledge, though you're not expected to build AI/ML solutions, develop models, or implement security protocols yourself.
Sources
AWS Certified AI Practitioner (AIF-C01) - AWS Certified AI Practitioner
Mapping your AI/ML career journey | AWS Training and Certification Blog
Content Domain 1: Fundamentals of AI and ML - AWS Certified AI Practitioner

You can go through Skill Builder - https://skillbuilder.aws/category/exam-prep/ai-practitioner-AIF-C01 - and check the topics they are covering as part of the preparation. This can help you prepare for the exam.