AWS Certified AI Practitioner
Practice AI fundamentals, Amazon Bedrock, responsible AI, and security decisions on AWS.
Register for the official exam ↗Free timed practice
450 original questions across 9 tracks from AWS, Azure, Google Cloud, Anthropic, Databricks, and OpenAI. Every miss comes with an explanation and a source link.
No account, no card. Nobody sees your score unless you choose to share it.
A CI pipeline authenticates to the Claude API with a personal API key that a senior engineer created. That engineer is leaving the company next month.
What should the team switch the pipeline to?
Pick an answer. It's anonymous and nothing is saved →Practice tracks for
Today's five
No account needed. Your score stays private unless you sign in and choose to share it.
Certification practice or untimed interview labs. All of it free.
Practice AI fundamentals, Amazon Bedrock, responsible AI, and security decisions on AWS.
Register for the official exam ↗Practice AI concepts and lightweight applications with Microsoft Foundry, speech, vision, and information extraction.
Register for the official exam ↗Practice generative AI use cases, Google Cloud offerings, output quality, and responsible business adoption.
Register for the official exam ↗Practice data preparation, model development, deployment, and monitoring with Amazon SageMaker AI.
AWS offers the English MLA-C01 exam through September 28, 2026. MLA-C02 beta registration is open.
Register for the official exam ↗Practice RAG, Vector Search, evaluation, deployment, and governance for LLM applications on Databricks.
Register for the official exam ↗Practice agent architecture, tool use, context management, and reliability decisions with Claude.
Register for the official exam ↗Practice Claude API integration, tool calls, prompt caching, and streaming behavior.
Register for the official exam ↗Practice retrieval, deployment tradeoffs, privacy, and production operations for forward deployed engineering.
Practice structured outputs, retrieval, tool calling, and application design with OpenAI APIs.
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Everything here is free. The official exams are priced and run by their providers, and each study guide lists the cost. This is independent practice, not a vendor exam: scores are percent correct with an 80% study goal, not a pass prediction. How scoring works →
Saved scores are private unless you publish your profile.
Ranked by practice score, then set size, then speed. One best timed practice result per learner and track. These are unproctored practice scores.
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CANDIDATE DASHBOARD
Track diagnostic results, identify domain weaknesses, and sign in to sync your progress across devices.
Choose who can see your progress, export your saved history, or delete your Google linked account and its saved attempts.
Shown on your public profile, the leaderboard, and results you publish from now on.
Complete a 5-question daily drill to build your certification habit.
Lowest accuracy topics first. Small samples are a starting point for more practice.
Newest first. Open a review to revisit answers and practice your misses.
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