You are already exam-ready.
- You will test in English by September 28, 2026
- Your C01 preparation is genuinely near completion
- You prefer the current scope and do not need the beta price
MLA-C01 vs MLA-C02: make the switch with confidence.
MLA-C02 keeps the four-domain structure but updates the work expected of an ML engineer. Here is the decision-relevant difference.
DetailMLA-C01MLA-C02 Beta
Availability
English through Sep 28, 2026; Japanese, Korean, and Simplified Chinese continue during beta
Registration open; English beta delivery begins Sep 29, 2026
Exam code
MLA-C01
ME1-C02 on the AWS booking overview
Format
65 questions · 130 minutes
85 questions · 170 minutes
Price
$150 USD
$75 USD beta price
Scope
Traditional ML lifecycle with some AI services
Traditional ML plus GenAI, FMs, RAG, agents, and responsible AI
Validity
3 years
3 years
You are building current AI/ML skills.
- Your test date is September 29 or later
- You want Bedrock, RAG, FM, and agentic AI coverage
- You have enough time to close the additional gaps
The new layer
Where C02 demands more.
AWS says no domain was added; task statements and skills were updated across the same lifecycle.
Generative AI implementation
Bedrock, RAG architectures, foundation-model customization
Agentic AI
Agent orchestration, tools, state, deployment, observability
Foundation models & LLMs
Selection, fine-tuning, evaluation, operationalization
Responsible AI
Bias, explainability, safety, governance, ongoing monitoring
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
Read the primary sources.
Exam details can change during a beta. Confirm your booking before making a deadline decision.
Make it personal
Check my readiness