FREE CERTIFICATION LEARNING
Study Microsoft, AWS, Google Cloud and Japanese AI certifications in three steps: study → practice → mock exam. Free, no registration. 14 certifications are available in English (4266 original questions).
For: people at companies using Microsoft 365, Teams and Power Platform who build, run or design internal agents and AI apps — from business teams using Copilot Studio to Azure developers and solution architects.
Start with AB-620, the closest to business teams, move on to development (AI-103) and operations (AI-300), then the Expert-level AB-100.
AB-100 requires one of the Associate certifications (per the official page). The order and study hours are this site’s recommendations.
Microsoft Certified: AI Agent Builder Associate
People who build internal agents in Copilot Studio and connect them to business systems and APIs — IT staff, business improvement leads and Power Platform teams.
3 domains301 questionsPass 700/1,000
Microsoft Certified: Azure AI Apps and Agents Developer Associate
Developers who use Microsoft Foundry to build generative AI, agents, image, text and document extraction capabilities into business apps.
5 domains298 questionsPass 700/1,000
Microsoft Certified: Machine Learning Operations Engineer Associate
People who build the systems that keep models and generative AI apps running in production with Azure Machine Learning and Microsoft Foundry.
5 domains311 questionsPass 700/1,000
Microsoft Certified: Agentic AI Business Solutions Architect Expert
Architects and digital transformation leads who drive the overall design of embedding AI and agents into business processes, ROI analysis, governance and ALM.
3 domains315 questionsPass 700/1,000
For: people at companies using (or starting to use) AWS — from business and IT staff learning cloud basics to architects and engineers building generative AI and ML into their work. Start with CLF-C02 (cloud) or AIF-C01 (AI).
Learn the big picture of AWS with CLF-C02, choosing the right architecture with SAA-C03, and multi-account, migration and large-scale design with SAP-C02.
There are no official prerequisites. The exam guides assume up to 6 months of exposure to AWS for CLF-C02, 1+ year of experience for SAA-C03 and 2+ years for SAP-C02. The order is this site’s recommendation.
AWS Certified Cloud Practitioner
For people who want to grasp AWS basic terms, the shared responsibility model, key services and pricing concepts. Suits staff in sales, general affairs, accounting and other business departments involved in AWS estimates, contracts and in-house cloud use, and new IT staff.
4 domains301 questionsPass 700/1,000
AWS Certified Solutions Architect - Associate
For people who choose architectures from security, availability, performance and cost requirements when moving or rebuilding in-house systems on AWS. Suits IT staff, system planners working with integrators, and anyone who wants to build design skills after CLF-C02.
4 domains301 questionsPass 720/1,000
AWS Certified Solutions Architect - Professional
For people who set network, security, DR, cost and migration policies across systems of multiple departments and subsidiaries. Suits those who, after SAA-C03, want to handle organizational complexity and the migration and improvement of existing systems.
4 domains300 questionsPass 750/1,000
Learn AI/ML/generative AI fundamentals and responsible AI with AIF-C01, building, deploying and operating ML and generative AI models with MLA-C02, and designing and running generative AI applications with AIP-C01.
There are no official prerequisites. MLA is moving to the revised MLA-C02 (as of October 2026, the English exam is in beta). The order is this site’s recommendation.
AWS Certified AI Practitioner
For people who decide how to use generative AI and machine learning in the business rather than build it. Suits staff planning AI use in sales, general affairs or accounting, IT departments evaluating vendor proposals, and anyone taking a first step into AWS AI certifications.
5 domains300 questionsPass 700/1,000
AWS Certified Machine Learning Engineer - Associate
For people who handle everything on AWS from data preparation, model training and evaluation, to deployment and CI/CD, monitoring, cost and security. Suits those who, after AIF-C01, want the skills to actually build and operate ML and generative AI systems.
4 domains301 questionsPass 720/1,000
AWS Certified Generative AI Developer - Professional
For people who ship and operate generative AI applications on AWS in production, including RAG, agents, guardrails, evaluation and monitoring. The next step after AIF-C01 and MLA-C02.
5 domains300 questionsPass 750/1,000
For: people at companies using Google Workspace, Gemini and Gemini Enterprise Agent Platform (formerly Vertex AI) — from those planning generative AI adoption to engineers designing and running ML systems.
Learn business use of generative AI and Google Cloud services with Generative AI Leader, then ML design, build and operations with Professional Machine Learning Engineer.
There are no official prerequisites. The order is this site’s recommendation.
Google Cloud Certified - Generative AI Leader
For leaders in corporate planning, DX, IT and business departments who plan and drive generative AI adoption, and people at companies using Google Workspace and Gemini.
4 domains297 questions
Google Cloud Certified - Professional Machine Learning Engineer
Data scientists, ML engineers, and MLOps and data platform engineers.
6 domains299 questions
For: people who want to prove, in a Japanese-language exam, their knowledge of using generative AI safely at work and of AI and deep learning fundamentals.
Learn how to use generative AI, its risks and internal rules with the Generative AI Passport, then machine learning, deep learning, law and ethics with the G Certificate (Japanese-language exams).
Neither has eligibility restrictions. The order is this site’s recommendation.
生成AI活用普及協会（GUGA）の資格試験
For people in sales, general affairs, accounting, HR and other business departments who are starting to use generative AI, and those who create or promote internal generative AI usage rules.
5 domains315 questions
ジェネラリスト検定（JDLA Deep Learning for GENERAL）
For DX, planning and IT staff, business-side members of AI projects, and anyone who wants enough basic knowledge to talk with engineers.
8 domains327 questions