AWS Certified AI Practitioner AIF-C01: 6 Practice Exams 2026

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AWS Certified AI Practitioner AIF-C01: 6 Practice Exams 2026

About this course

Pass the AWS Certified AI Practitioner (AIF-C01) on your first attempt - with 6 full-length, exam-realistic practice tests.This course gives you 390 unique multiple-choice questions (6 x 65 questions) built strictly to the official AWS Exam Guide v1.4 blueprint. Every question includes a thorough explanation that tells you why the correct answer is right and why each distractor is wrong - so you actually learn the material instead of just memorizing answers.What you get:6 full practice exams - 65 questions each, 90-minute timer, 70% pass mark (matches the real exam exactly)390 unique questions - no recycling between examsDomain-weighted - every exam follows the official 20% / 24% / 28% / 14% / 14% domain splitScenario-based - 70%+ of questions are "A company..." / "A team needs..." style, just like the real examDetailed explanations for every question, anchored to AWS services and the Well-Architected FrameworkLifetime access - retake as many times as you like, on any deviceMobile-friendly - practice on the Udemy app while commutingDomains covered (matches AWS Exam Guide v1.4):Domain 1 - Fundamentals of AI and ML (20%): AI/ML/DL terminology, supervised vs. unsupervised vs. reinforcement learning, ML lifecycle, MLOps, evaluation metricsDomain 2 - Fundamentals of Generative AI (24%): tokens, embeddings, foundation models, multi-modal, Amazon Bedrock, SageMaker JumpStart, Amazon Q, PartyRockDomain 3 - Applications of Foundation Models (28%): model selection, RAG, vector databases, agents, prompt engineering, fine-tuning, RLHF, evaluation (ROUGE, BLEU, BERTScore)

What you'll learn

  • Understand the fundamentals of AI, ML, and their applications
  • Familiarize with generative AI concepts and technologies
  • Develop skills in model evaluation and selection

Course objectives

  • Provide realistic practice for the AWS Certified AI Practitioner exam
  • Enhance knowledge of AI and ML terminologies and processes
  • Build scenario-based problem-solving skills relevant to AI applications

Skills you'll gain

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