AIF-C01
Validate your understanding of AI/ML concepts, generative AI technologies, and AWS AI services. This certification covers foundational knowledge of machine learning pipelines, responsible AI practices, Amazon Bedrock, SageMaker, and other AWS AI/ML services for building intelligent applications.
65
90 min
700/ 1000
300+
Designed for practitioners who plan, evaluate, or govern generative AI initiatives on AWS, including product managers, solution architects, technical leads, and applied AI teams. It is especially suitable for cross-functional roles that must align business outcomes with model choice, data strategy, security controls, and responsible AI policies. Teams operating customer-facing AI features, internal copilots, or document/knowledge assistants will gain strong practical value.
No mandatory prerequisite certification is required, but practical familiarity with AWS core services and basic AI/ML concepts is strongly recommended. You should understand model selection trade-offs (quality, latency, cost), prompt design basics, retrieval and grounding patterns, data privacy controls, and IAM/KMS-based access boundaries. It is important to reason about hallucination risk, evaluation metrics, guardrails, and production monitoring. Experience with real use cases—such as support automation, content generation, and internal knowledge assistants—will significantly improve exam readiness.
Globally recognized and broadly applicable across countries.
Fundamentals of AI and ML
Fundamentals of Generative AI
Applications of Foundation Models
Guidelines for Responsible AI
Security, Compliance, and Governance
Try the practice set directly and judge real-exam similarity yourself.
Q. Is AIF-C01 more development-heavy or architecture-heavy?
A. It includes both, but primarily evaluates your ability to design and operate GenAI solutions safely under real constraints. The exam emphasizes practical decision quality across governance, security, latency, and cost—not just model knowledge.
Q. What matters most to pass?
A. Avoid model-performance-only thinking. High scores come from balanced decisions across governance, security, latency, and cost. You should evaluate guardrails, access control, monitoring, and hallucination-risk mitigation together, not as isolated topics.
Q. Can I pass without hands-on experience?
A. Yes, if you consistently solve with a structure: requirements → risks → design alternatives → operations strategy. This method helps you eliminate weak options even without deep production experience. Practice comparing data sensitivity, compliance requirements, and operating cost in every scenario.
Q. What mock score is considered stable?
A. If your last three mocks stay around 75–80%+ with fewer repeated security/governance/cost mistakes, readiness is usually strong. Track repeat-error reduction, not just peak score. In the final week, targeted correction of recurring weak patterns is usually more effective than broad new coverage.
Q. How do practice questions and the timed mock exam differ?
A. Practice questions are solved by topic with answer explanations to shore up weak areas; the timed mock exam is taken like the real thing. Both use original questions with AI tutor explanations.
Q. Is this similar to exam dumps?
A. PasslyExam does not provide leaked dumps. Our content is built from official guides and public exam objectives, then tuned to reflect realistic question patterns and difficulty distribution. The focus is practical readiness with explanation-based learning, not memorization of leaked items.
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