Built for the 2026 exam transition

Choose the right AWS ML exam—and know exactly what to study next.

MLA-C02 adds deeper Amazon Bedrock, RAG, foundation model, agentic AI, and responsible AI coverage. Turn what you already know into a concrete exam decision and gap-based plan.

Start free assessment See what changed

Official-guide grounded No sign-up No exam dumps

Your transition map

61% ready

SageMaker AIStrong

Amazon BedrockGap

RAG systemsBuild

Recommended pathMLA-C02 Beta3-week focused plan

Beta registrationOpen now

Beta deliverySep 29, 2026

Beta format85 questions · 170 min

Beta price$75 USD

Rule-based diagnostic

Build your exam decision in about 2 minutes.

Tell us what you have already studied. The result uses the published exam dates, domain weights, and topic changes—no account or AI call required.

Private by design. Your answers stay in this browser.

Assessment0 / 13 inputs

Target exam date Exam language Study time / week MLA-C01 preparation completed 40%

Rate your current confidence

0 = not started · 1 = aware · 2 = practiced · 3 = production confidence

Data preparationIngestion, quality, transformation, feature engineeringSageMaker AITraining, tuning, evaluation, model registryAmazon BedrockModel selection, customization, evaluation, guardrailsFoundation modelsLLMs, fine-tuning, optimization, responsible useRAG systemsKnowledge bases, retrieval, reranking, refresh cyclesAgentic AIAgents, tools, state, orchestration, observabilityMLOps & deploymentEndpoints, CI/CD, automation, containers, scalingMonitoring & securityDrift, telemetry, IAM, encryption, cost controlsResponsible AIBias, explainability, safety, governance controls

Independent estimate—not an AWS score or guarantee. Exam facts last checked September 15, 2026.

Official blueprint

The domains stayed. The role expanded.

Traditional ML engineering still transfers. The updated guide broadens every stage of the lifecycle to cover AI and foundation-model workloads.

0128%

Data Preparation for ML and AI

0224%

ML Model and Foundation Model Development

0324%

Deployment and Orchestration of ML and AI Workflows

0424%

Operating, Monitoring, and Securing ML and AI Solutions

Decide before you study.

If you are already highly prepared and can sit the English exam by September 28, MLA-C01 may still be the shortest path. Otherwise, prepare for the broader C02 blueprint.

Compare the versions

Keep what transfers.

Data preparation, SageMaker, MLOps, deployment, monitoring, and security remain valuable. The tool separates transferable knowledge from new gaps.

Study the missing layer.

Prioritize Bedrock, RAG, foundation models, agentic workflows, and responsible AI according to your own confidence—not a generic syllabus order.