What is the AIF-C01 Exam?
AWS Certified AI Practitioner (AIF-C01) validates foundational knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their implementation on Amazon Web Services. It focuses on AI fundamentals, responsible AI practices, and how to build, deploy, and monitor AI solutions using AWS services such as Amazon SageMaker, Bedrock, and generative AI tools.
Who should take this exam
AWS Certified AI Practitioner (AIF-C01) is best for:
- Typical candidates: Cloud developers, data analysts, software engineers, and IT professionals who want to demonstrate practical AI/ML understanding on AWS.
- Experience level: Ideal for those with 6–12 months of exposure to AI concepts or AWS services and who want to start or strengthen an AI career path.
Prerequisites and recommendations
Official prerequisite: None.
Recommended skills:
- Understanding of ML basics such as supervised vs. unsupervised learning
- Basic programming or scripting (Python preferred)
- Familiarity with AWS cloud fundamentals (equivalent to AWS Certified Cloud Practitioner)
Exam objectives and domains
| Domain | Weight |
|---|---|
| AI Fundamentals and Responsible AI | ~26% |
| Data Preparation and Feature Engineering | ~20% |
| Model Development and Deployment | ~24% |
| AI Solutions on AWS | ~30% |
Objective details by domain
AI Fundamentals and Responsible AI
- Core AI/ML terminology and principles
- Generative AI concepts and ethical considerations
- AI lifecycle and governance
Data Preparation and Feature Engineering
- Data collection and cleaning
- Feature selection and transformation
- Data security and privacy practices
Model Development and Deployment
- Training and evaluation of models
- Hyperparameter tuning and model optimization
- Deployment strategies and monitoring
AI Solutions on AWS
- Cost optimization and scaling
- Use of Amazon SageMaker, Bedrock, Comprehend, Rekognition, and Lex
- Integrating AI into applications and business workflows
What changed in this version
First release of this certification (2024) focusing on generative AI and modern AWS AI services
Expands beyond traditional ML to cover prompt engineering and responsible AI design
Registration and scheduling
- Create or log in to an AWS Certification account
- Choose AWS Certified AI Practitioner (AIF-C01)
- Schedule through Pearson VUE or PSI for online proctored or test-center delivery
Pricing and vouchers
Standard price: USD $150 (varies by region)
Discounts:
- Promotional vouchers during AWS events like re:Invent
- 50% off voucher for those holding another AWS certification
- Student and military discounts through AWS Training partners
Policies you should know
- Valid government-issued ID required
- 24-hour reschedule window (fees may apply)
- Exam must be taken within 12 months of purchase
Scoring and results
- Format: 65 multiple-choice, multiple-response questions
- Duration: 130 minutes
- Scoring: 100–1,000 scaled score
- Passing score: 700
- Results: Unofficial pass/fail immediately; official score report available in 5 business days
Exam day and test experience
On-site: Arrive 30 minutes early, bring ID, secure belongings
Online proctoring: Webcam check, room scan, no personal items
Tips:
- No scheduled breaks; you may take unscheduled breaks but the clock keeps running
- Flag complex items and revisit later
- Budget about 2 minutes per question
Study plan and resources
Beginner Plan (6–7 weeks)
- Weeks 1–2: Review AWS free digital training on AI/ML basics and AI ethics
- Weeks 3–4: Deep dive into SageMaker, Bedrock, and generative AI use cases
- Weeks 5–6: Take practice exams and focus on weaker domains
- Week 7: Do final timed mocks and quick reviews
Experienced Candidate (3–4 weeks)
- Week 1: Review new generative AI objectives and responsible AI practices
- Week 2: Hands-on labs with SageMaker and Bedrock
- Weeks 3–4: Attempt multiple timed practice exams until consistently scoring 80%+
Recommended resources:
- Practice exams from authorized providers
- Official AWS exam guide and sample questions
- AWS Skill Builder courses
- Whitepapers on AI ethics and cost optimization
Certification validity and renewal
Valid for 3 years
Renew by:
- Earning a higher-level AWS certification (e.g., Machine Learning – Specialty)
- Passing the latest version of AIF-C01, or
Career outcomes
- Stronger marketability: Validates both AI fundamentals and AWS platform know-how.
- Fast-growing demand: Companies in healthcare, finance, e-commerce, and manufacturing are scaling AI projects and seek certified talent.
- Clear upgrade path: Positions you to pursue AWS Machine Learning – Specialty or other advanced cloud architecture certifications for even higher-paying roles.
| Job Title | Typical Salary (U.S.)* |
|---|---|
| Cloud AI Developer | $110k – $140k |
| Machine Learning Engineer | $120k – $150k |
| AI Solutions Architect | $130k – $160k |
| Data Scientist (AI-focused) | $115k – $145k |
Related or next-step certifications
AWS Certified Machine Learning – Specialty: for deep ML engineering
AWS Certified Solutions Architect – Associate: to strengthen overall cloud architecture skills
How this exam compares to similar certifications
Google Cloud Machine Learning Engineer: More advanced, heavier coding requirement
Microsoft Azure AI Fundamentals (AI-900): More introductory and less AWS-focused
AIF-C01 sits comfortably between fundamentals and specialist-level ML exams, making it ideal for cloud professionals starting an AI path.
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Frequently Asked Questions (FAQs)
How long should I study for AIF-C01?
Beginners generally need 6–7 weeks; experienced AWS or AI professionals can prepare in about 3–4 weeks.
Are there official prerequisites?
No. A general understanding of cloud computing and basic AI concepts is recommended but not mandatory.
Can I retake the exam if I fail?
Yes. AWS allows unlimited retakes after a 14-day wait. You must pay the full exam fee each time.
How soon will I know my score?
An unofficial pass/fail appears immediately after submitting the exam. Your detailed score report is available in your AWS Certification account within about 5 business days.
How long is the certification valid?
It remains valid for three years and can be renewed by passing the current version or achieving a higher-level AWS certification.
