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AIF-C01 · FoundationalAI Practitioner - Foundational
  • Week 1
    • 1.The Relationship and Differences Between AI, Machine Learning, and Deep Learning
    • 2.Learning Types: Supervised, Unsupervised, and Reinforcement Learning
    • 3.Problems Where ML Fits vs. Problems Where It Doesn't
    • 4.Key Terms: Model, Training, Inference, Feature, Label, Overfitting
    • 5.Week 1 Review: AI/ML Fundamentals
  • Week 2
  • Week 3
  • Week 4
  • Week 5
  • Week 6
DEA-C01 · AssociateData Engineer - Associate
MLS-C01 · SpecialtyMachine Learning - Specialty
SQLD · 개발자SQL Developer (SQLD)

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← All certifications/AIF-C01

AI Practitioner - Foundational

6 weeks · 30 days · Foundational

Start with Week 1

Read AIF-C01 pass reviews →

Exam Information

Foundational · No prior knowledge required
Questions
65
Duration
90min
Passing
700 / 1000
Cost
$100
Validity
3y

Domain Weights

Fundamentals of AI and ML20%
Fundamentals of Generative AI24%
Applications of Foundation Models28%
Guidelines for Responsible AI14%
Security, Compliance, and Governance for AI Solutions14%
FormatMultiple choice, multiple response, ordering, and matching
PrerequisitesNone (recommended: 6 months of exposure to AWS and AI/ML)
LanguagesEnglish, Korean, Japanese, Simplified Chinese, Traditional Chinese, French, Portuguese (Brazil), Spanish (Spain), Spanish (Latin America), Arabic

Benefits & Tips

  • Passing earns you a 50% discount voucher for your next exam. Find it under "Benefits" in your AWS Certification account and use it for recertification or another certification (it has an expiry date, so use it before then).
  • The certification is valid for 3 years and must be renewed before it expires. You can use the 50% voucher for recertification too.
  • There is no free retake (every attempt is paid in full). Passing on the first try is the cheapest route, so take the real exam once your mock exam scores clear the passing mark.
  • Passing also earns you a Credly digital badge that you can add to LinkedIn and your email signature.

FAQ

How many questions are on the AIF-C01 exam, and how long is it?+

AIF-C01 has 65 questions and a time limit of 90 minutes. Questions are multiple choice, multiple response, ordering, and matching.

What is the passing score?+

You need 700 or higher out of 1000 to pass. The score is a scaled score adjusted for question difficulty, so it is not the same as a simple percentage of correct answers.

How much does the exam cost and how do I register?+

The exam fee is $100 USD, and you can take it through Pearson VUE at a test center or as an online proctored exam. There is no free retake, so you pay the full fee each time you sit the exam.

How long is the certification valid? How do I recertify?+

The certification is valid for 3 years after you pass, and you must recertify before it expires. When you pass, you receive a 50% discount voucher for your next exam, which you can use for recertification or for another AWS certification exam.

Can I take the exam in Korean?+

Yes, it is offered in several languages, including Korean. You can choose your language when you register for the exam.

Official Exam Guide Register for Exam

Week 1

  • Day 1The Relationship and Differences Between AI, Machine Learning, and Deep Learning
  • Day 2Learning Types: Supervised, Unsupervised, and Reinforcement Learning
  • Day 3Problems Where ML Fits vs. Problems Where It Doesn't
  • Day 4Key Terms: Model, Training, Inference, Feature, Label, Overfitting
  • Day 5Week 1 Review: AI/ML Fundamentals

Week 2

  • Day 1ML Lifecycle Overview: One Full Cycle from Data to Operations
  • Day 2Data: Structured vs Unstructured, Splitting Data, and the Power of Quality
  • Day 3Model Evaluation Basics: Accuracy, Precision, Recall, and Overfitting/Underfitting
  • Day 4The Human Role in ML Development: Labeling, Feedback, and Iterative Improvement
  • Day 5Week 2 Wrap-Up: ML Lifecycle and Data at a Glance

Week 3

  • Day 1What Is Generative AI: Difference from Traditional ML, and Foundation Models
  • Day 2How LLMs Work: Tokens, Embeddings, Context Window, and Inference
  • Day 3Prompt Engineering Basics: Good Prompts, Zero/Few-shot, and the Limits
  • Day 4Limitations and Risks of Generative AI: Hallucinations, Bias, Non-determinism, and Appropriate Use Cases
  • Day 5Week 3 Comprehensive Review: Tying Together Generative AI Basics at a Glance

Week 4

  • Day 1Amazon Bedrock: Fully Managed Service for Renting Foundation Models
  • Day 2Amazon SageMaker: A Platform for Directly Training and Deploying ML Models
  • Day 3AWS AI Services (1): Managed APIs Handling Images, Documents, Text, and Speech
  • Day 4AWS AI Services (2) + Amazon Q: Chatbots, Search, Recommendations, Forecasting, and Generative Assistant
  • Day 5Week 4 Comprehensive Review: Complete Map of AWS AI/ML Services

Week 5

  • Day 1Principles of Responsible AI: Fairness, Bias, Transparency, Explainability, Robustness, Privacy
  • Day 2AWS Responsible AI Tools: SageMaker Clarify, Model Monitor, Bedrock Guardrails, AI Service Cards
  • Day 3AI Security: IAM Least Privilege, Data Encryption, PII Protection, PrivateLink, the Shared Responsibility Model
  • Day 4Data Governance and Compliance: Data Provenance and Quality, Model Governance, Auditing and Logging, Legal and Ethical Considerations of Generative AI
  • Day 5Week 5 Comprehensive Review: Tying Responsible AI, Security, and Governance Together

Week 6

  • Day 1Domain Review 1: AI/ML Fundamentals + Generative AI Fundamentals: Critical Summary
  • Day 2Domain Review 2: Foundation Model Applications (AWS AI Services) Key Summary
  • Day 3Domain Review 3: Responsible AI + Security and Governance: Critical Summary
  • Day 4Full Mock Exam Pace: Five Domains Comprehensive Questions
  • Day 5D-Day Wrap-Up: Exam Structure, Keyword → Service Translation Table, Frequently-Missed Traps