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Certification preparation

AWS Certified AI Practitioner: decisions and applications

Five lessons, 30 questions, and six cases on AI, generative models, RAG, evaluation, responsibility, and AWS security. AIF-C01 preparation.

Amazon Web ServicesAvailable
Amazon Web ServicesAI5 lessons
Guide1.1; weights20/24/28/14/14. Exam:65 questions,90minutes,50 scored and15 unscored. Minimum700 on the100–1000 scale, not70percent correct. preparation:five lessons,30 questions and six cases; own21-decision/45-minute assessment. pt-BR exam. German and Italian retire after15October2026. Clarify remains in the syllabus but documentation says it is closed to new customers.

Objectives and progression

Independent AIF-C01 preparation with five modules mapped to official domains in guide 1.1, published April 2026. Learn to choose between rules, ML, and foundation models, interpret metrics, compare cost and quality, use RAG, prompts, and agents, and assess security and responsibility. Practice fictional support situations: missed urgent cases, duplicate context, an old runbook, a student model, explainability, and a malicious document instruction. Includes option explanations, primary sources, progress, and an internal 21-decision assessment in 45 minutes. Initial coverage is selected; it does not reproduce the official 65-question exam or all its formats.

Audience: IT, project, support, and business professionals starting to assess AWS AI applications.

Prerequisites: Cloud, IAM, and application fundamentals; no AWS account or model programming required.

245 estimated study minutes

  • Choose an approach suited to the desired outcome and interpret error costs.
  • Relate models, tokens, context, and tools to value, cost, and boundaries.
  • Distinguish retrieval, customization, and evaluation of complete applications.
  • Assess limitations, group differences, and intended use before trusting an average.
  • Control identity, data, tools, and evidence throughout the usage lifecycle.

Modules

  1. AI and ML: problem, data, and metrics
  2. Generative AI, context, and agents
  3. Foundation models: RAG, prompts, and evaluation
  4. Responsible AI and explainability
  5. AI security and governance

Continue learning

Data / AI

References and version

AIF-C01

What you will explore

0 / 5

Learning is also trying.

Original explained questions, flashcards, and scenarios to apply the concepts.

Practice
This module covers foundations. It is not a complete certification course or a full simulation of the official exam.

Exam domains

Fundamentals of AI and ML20%
Fundamentals of GenAI24%
Applications of Foundation Models28%
Guidelines for Responsible AI14%
Security, Compliance, and Governance for AI Solutions14%