Introduction
The AWS Certified AI Practitioner (AIF C01) certification is designed for professionals who want to validate their understanding of artificial intelligence, machine learning, generative AI technologies, and related AWS services. You don’t need to be a deep technical expert; this exam focuses on understanding AI and ML concepts and how AWS services enable them.
You should have around six months of exposure to AI or ML technologies and basic knowledge of core AWS services like Amazon S3, Amazon EC2, AWS Lambda, IAM, and Regions or Availability Zones.
In this guide, you will find:
• Official exam links
• Free practice questions for the AWS AI Practitioner exam questions
• Study strategies and hands-on tips
• A public study tracker link for structured preparation
Official Resources and Exam Overview
Before you start preparing, go through the official AWS resources for
accurate information.
Official Exam Links
• AWS Certified AI Practitioner (AIF C01)
• AWS Certified AI Practitioner (AIF C01) Exam Guide PDF
• Exam Prep: AWS Certified AI Practitioner (AIF C01)
Exam Domains and Weightings
• Domain 1 – Fundamentals of AI and ML (around 20 per cent)
• Domain 2 – Fundamentals of Generative AI (around 24 per cent)
• Domain 3 – Applications of Foundational Models (around 28 per cent)
• Domain 4 – Guidelines for Responsible AI (around 14 per cent)
• Domain 5 – Security, Compliance, and Governance for AI Solutions (around 14 per cent)
Exam Format
• About 65 questions
• Duration of 90 minutes
• Multiple choice, multiple response, matching, ordering, and case study style questions
• Focus on applying AWS AI and ML services rather than building complex models
Free Practice Questions and Study Tracking
Free Questions Link
To prepare using real exam-style questions, use this free source:
AWS AI practitioner exam questions
This supports the main keyword AWS AI Practitioner exam questions and provides a free practice set.
Study Tracking Sheet
You can track your progress using this public Google Sheet:
AIF C01 Study Tracker
How to Use These Resources
• Start by attempting one free question set to test your current knowledge level
• After completing each domain, revisit questions and note weak topics in the sheet
• Track your incorrect answers, note the reason, and focus on weak areas
• Take timed mock tests regularly to simulate real exam conditions
• After every mock, review all incorrect answers and update your tracker
Study Strategy and Hands-On Tips
Step 1: Build a Strong Foundation
• Study Domain 1 and Domain 2 first to understand AI, ML, and generative AI basics
• Learn about AI vs ML vs generative AI and types of ML, such as supervised, unsupervised, and reinforcement learning
• Explore important AWS services, including Amazon SageMaker, Amazon Comprehend, Amazon Bedrock, Amazon Translate, Amazon Lex, and Amazon Polly
• Review AWS documentation for each service to understand use cases and limitations
Step 2: Get Hands-On with AWS
• Log in to your AWS Free Tier account and experiment with basic services like SageMaker and Comprehend
• Try a small project, such as performing sentiment analysis using Amazon Comprehend or building a model using SageMaker Canvas
• Document each hands-on experience in your study tracker to reinforce learning
• Focus on why a specific service fits a particular use case, not just what it does
Step 3: Prioritise Key Domains
• Domain 3 (Applications of Foundational Models) carries the highest weight, so spend extra time here
• Understand foundation models, fine-tuning, prompt engineering, embedding, inference, and vector databases
• Domain 4 (Responsible AI) and Domain 5 (Security and Compliance) are smaller but crucial
• Learn about AI ethics, bias mitigation, encryption, data governance, and IAM roles in AI services
Step 4: Practice and Review Regularly
• Attempt mock exams regularly using the free question link
• Record your results and track time management
• After every test, analyse where you went wrong and why
• Adjust your study plan based on which domains you score low in
Step 5: Tips for Exam Day
• Read each question carefully and identify key phrases like “most cost-effective” or “best suited”
• Manage your time by keeping an average of 1.4 minutes per question
• Use elimination techniques for multiple-choice questions
• For matching or ordering questions, understand the correct sequence logically
• Flag difficult questions and revisit them before submitting the exam
Summary
The AWS Certified AI Practitioner (AIF C01) certification is perfect for anyone looking to start their AI or ML journey in the AWS ecosystem. By following this guide, using official resources, and consistently practising with AWS AI practitioner exam questions, you’ll strengthen your knowledge and increase your chances of passing on the first attempt.
Use the Free AIF C01 Questions link to practice, and the Google Study Tracker to track your progress. Combine both with real AWS hands-on learning for the best results.
Good luck with your preparation and certification journey.
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