AWS Certified AI Practitioner (AIF-C01) Exam Questions

About this course

The AWS Certified AI Practitioner (AIF-C01) certification validates your foundational understanding of artificial intelligence (AI), machine learning (ML), and generative AI concepts, with a strong focus on how these technologies are applied responsibly using AWS services. This course is your complete guide to understanding AI fundamentals, real-world AI use cases, and governance considerations needed to confidently pass the AIF-C01 exam.Designed for beginners, business professionals, and early-career technologists, this course delivers clear, practical explanations that connect AI theory with how organizations design, deploy, and govern AI solutions on AWS. No prior AI, data science, or programming experience is required.This course is fully aligned with the official AWS Certified AI Practitioner (AIF-C01) exam blueprint and covers all five content domains in depth:Content Domain 1: Fundamentals of AI and MLBuild a strong foundation in artificial intelligence and machine learning concepts. Learn key AI terminology, differences between AI, ML, and deep learning, common learning types (supervised, unsupervised, reinforcement), and how ML models are trained, evaluated, and used in real-world scenarios.Content Domain 2: Fundamentals of Generative AIUnderstand the core concepts behind generative AI, including large language models (LLMs), foundation models, prompts, tokens, embeddings, and inference. Learn how generative AI differs from traditional ML and where it delivers business value.Content Domain 3: Applications of Foundation ModelsExplore practical use cases for foundation models across industries, such as chatbots, content generation, summarization, search, recommendation systems, and automation. Learn how AWS services like Amazon Bedrock enable organizations to build and integrate generative AI solutions without managing infrastructure.Content Domain 4