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AWS • Ai Practitioner
AWS Certified AI Practitioner (AIF-C01)
Explain foundational AI, machine learning, and generative AI concepts.
Practice setup
Exam info
- Exam ID
- AIF-C01
- Cost of Exam
- $100 USD
- Length of Test
- 90 Minutes
- Number of Questions
- 65
View full exam details
- Exam Level
- Foundational
- Launch Date
- 2024
- Recommended Experience
- Foundational familiarity with AI/ML concepts and AWS cloud basics
- Question Types
- Multiple Choice / Multiple Response
- Passing Score
- Scaled score determined by AWS
Domains and Objectives
Fundamentals of AI and ML1.020%
Objectives in this domain
- Differentiate AI, ML, deep learning, and generative AI at a foundational level.
- Identify common model types and training/inference concepts.
- Understand baseline terminology used in AI/ML solution discussions.
Fundamentals of Generative AI2.024%
Objectives in this domain
- Describe core generative AI concepts, prompt foundations, and model behavior.
- Recognize practical generative AI use cases and limitations.
- Understand retrieval-augmented patterns and basic content grounding ideas.
Applications of Foundation Models3.028%
Objectives in this domain
- Identify scenarios where foundation models are appropriate.
- Understand customization options such as prompting and fine-tuning at a high level.
- Recognize integration patterns for business workflows and developer use cases.
Guidelines for Responsible AI4.014%
Objectives in this domain
- Understand fairness, transparency, privacy, and safety considerations.
- Identify risks such as hallucination, bias, and misuse.
- Apply foundational governance thinking for enterprise AI usage.
Security, Compliance, and Governance for AI Solutions5.014%
Objectives in this domain
- Recognize security and access control fundamentals for AI workloads.
- Understand data protection, policy, and compliance concerns.
- Identify operational controls that support trustworthy AI adoption.
Resources
AWS Certified AI Practitioner (Official)
Official exam page with current blueprint and scheduling details.
Open resourceExam history
The History of AWS Certified AI Practitioner (AIF-C01 Context)
Last reviewed: 2026-03-16
AWS Certified AI Practitioner was introduced as a foundational certification focused on practical AI and generative AI literacy for a broad audience. It is intended for learners and professionals who need to understand AI concepts, use cases, and governance expectations without requiring deep model-building specialization.
The exam aligns with growing enterprise demand for staff who can discuss AI capabilities, limits, and operational tradeoffs in a cloud context. It helps bridge business and technical teams by validating a shared baseline across terminology, responsible AI practices, and AWS service awareness.
AIF-C01 emphasizes real-world interpretation over narrow theoretical depth. Candidates are expected to identify suitable AI approaches, understand model/application patterns at a high level, and evaluate responsible-use concerns such as bias, privacy, and trustworthiness.
As AWS AI offerings continue to evolve, this exam serves as an entry point before deeper role-based cloud, data, and machine learning tracks.
Change tracker
AIF-C01 launched
AWS introduced the AI Practitioner foundational certification to validate practical AI and generative AI literacy.
Generative AI adoption accelerated
Exam relevance increased as organizations expanded responsible AI and foundation model usage across business functions.