AI Ethics, Safety & Governance
Responsible AI principles, fairness, governance frameworks, and regulations for certification
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ISTQB, QuizLab, Anthropic, Ministère de l'Intérieur — targeted MCQs, mock exams and spaced repetition to pass on your first try.
Responsible AI principles, fairness, governance frameworks, and regulations for certification
Image analysis, object detection, and visual AI for certification exams
Essential math foundations: linear algebra, calculus, probability & statistics for ML certifications
Text processing, language understanding, and modern NLP techniques for AI certification
End-to-end ML lifecycle management: pipelines, deployment, monitoring, and CI/CD for machine learning
Large language models, diffusion models, GANs, VAEs, fine-tuning, and responsible AI deployment
Neural network architectures, training techniques, and optimization for deep learning certification
Core ML concepts tested across all major AI certifications: supervised, unsupervised, and reinforcement learning
Foundations-level architect certification for building production applications with Claude: Claude Code, the Claude Agent SDK, the Claude API, and the Model Context Protocol (MCP). Scenario-based multiple-choice exam (1 correct of 4) across five domains — agent architecture, tool design and MCP, Claude Code configuration, prompt engineering and structured output, and context management and reliability. Scored 100–1000, 720 to pass.
Entry-level, role-agnostic certification for advising on and effectively using Claude. Covers the Claude model family and its capabilities, prompting fundamentals, the Claude product ecosystem (Claude apps, Projects, Claude Code, the API, and MCP at a conceptual level), responsible and safe use, and matching everyday use cases to the right approach. Scenario-based multiple-choice — no coding required. The Practitioner entry point to the Claude Certification Program.
Foundations-level developer certification for building applications on the Claude API. Covers the Messages API and its stateless multi-turn contract, tool use and function calling, structured output with JSON schemas, cost/performance features (prompt caching, the Message Batches API, model selection, rate limits), and integrating MCP servers via the official SDKs. Scenario-based multiple-choice focused on correct, production-minded API usage.
Advanced architect certification for designing and operating production Claude systems at scale. Builds on Architect — Foundations (required prerequisite): advanced multi-agent orchestration, production reliability and observability, security/safety/governance, cost and performance engineering across the model tiers, and evaluation and continuous improvement. Scenario-based multiple-choice that rewards root-cause, deterministic, right-sized architectural decisions.
The mandatory starting point for software testing certification. 40 MCQ, 60 min, 65% pass mark. Foundation for every other ISTQB cert.
Bridge cert for Agile contexts. Requires CTFL. Prerequisite for CTAL-AT.
Testing AI/ML-based systems. Quality characteristics, ML workflow, neural-network coverage, adversarial testing.
The newest ISTQB cert. Covers prompt testing, hallucination evaluation, factuality, and using GenAI inside test workflows.
Load, stress, endurance, spike, scalability, volume testing. Workload modelling, results analysis, tooling.
Threat modelling, OWASP top 10, authentication/authorization/encryption testing, human factors.
Deeper than CT-SEC. App security testing (white/black/grey box), infrastructure, cryptography, threat modelling, CI/CD integration.
Native, web, hybrid mobile testing. Emulators, simulators, real devices, cloud labs.
Modelling notations, test-case generation from models, deployment strategy and ROI.
UAT, ATDD/BDD, business-process modelling, collaborative acceptance testing.
Usability, user experience, accessibility. Inspections, lab vs remote testing, surveys, reporting.
Strategic automation: gTAA, risks, metrics, transitioning from manual, continuous improvement.
Automotive-specific testing. Automotive SPICE, ISO 26262, AUTOSAR. MIL/SIL/HIL simulation.
Specialist syllabus for testing video games. Covers game mechanics, graphics, sound, localization, and game-specific tools/processes.
Specialist syllabus for testing gambling-industry software. Compliance, fairness math (RTP), player-perspective testing, multiplayer and interoperability.
Advanced Test Management — restructured around three big chapters: managing the test activities, the product, and the team. Heavy risk-based testing focus.
Functional and user-facing testing at depth. 45 questions, ~120 min.
Technical / non-functional testing in depth. Structural coverage (incl. MC/DC), static + dynamic analysis, performance + security + reliability.
Building and maintaining automation frameworks. The gTAA, deployment risks, verifying the TAS itself.
Agile testing at scale. Requires CTFL + CTFL-AT. Lean, DevOps integration, people skills.
Technical Agile testing. Quality risk in Agile, white-box techniques, refactoring + quality engineering in DevOps.
Test leadership in scaled Agile environments. Communities of practice, strategy across many teams.
Expert-level strategic test management — mission, policy, funding, external relationships. Requires CTAL-TM + experience.
Expert-level operational test management — project, team, and external relationships at operational depth.
Expert-level test-team management — composition, hiring, motivation, evaluation.
Expert-level test-process assessment using TMMi, TPI Next, Critical Testing Processes.
Expert-level implementation of test-process improvement via the IDEAL model, adapted for Agile/DevOps.
Préparation à l'entretien individuel d'assimilation, à partir du Livret du Citoyen publié par le Ministère de l'Intérieur : histoire, géographie, symboles, institutions, valeurs républicaines et vie quotidienne en France.
Contact us — we regularly add new certifications to the platform.