Preparing for the AWS Certified AI Practitioner (AIF-C01) exam? This course gives you 6 full-length, exam-realistic practice tests — 350 unique questions in total, with zero repeats across tests — built directly from AWS's official AIF-C01 exam guide, not recycled from generic AI trivia.Why this course is different: Most AI/ML question banks are written by people without AWS certification experience, or ported over from older AWS ML exams that test the wrong skill level entirely. This course was built the opposite way — starting from the live AWS exam guide, mapping every single question to an official domain and task statement, and specifically targeting the exact places candidates lose points: mixing up SageMaker Clarify, Model Monitor, and Amazon A2I; confusing AWS Artifact with Audit Manager; misapplying RAG vs. fine-tuning; and reaching for out-of-scope services (like GuardDuty or WAF) that sound right but aren't actually tested on this exam.What's included:6 full practice exams (4 sets of 58 questions, 2 sets of 59 questions) — 350 questions totalEvery question mirrors the real exam's weighting across all 5 official domainsA mix of easy, medium, and hard questions (30/50/20 split) so you build from fundamentals up to exam-day difficultyEvery answer option is explained — including the correct one — so you learn something even when you get a question rightScenario-based questions that mirror the real exam's style, not just definition recallFull coverage of the newest exam content: agentic AI, Model Context Protocol (MCP), Amazon Bedrock AgentCore, and Strands Agents — content many older prep courses haven't caught up on yetDomain breakdown (matches the official AWS weighting exactly):Fundamentals of AI and ML — 20% (70 questions)Fundamentals of Generat
What you'll learn
familiarity with AWS AI/ML services
ability to apply knowledge to scenario-based questions
understanding of the official AWS exam content and domains
Course objectives
prepare effectively for the AWS Certified AI Practitioner exam
identify and rectify common mistakes in AI/ML concepts
improve test-taking strategies with practice questions