Review a compact AWS MLS-C01 replacement cheat sheet for candidates translating older Machine Learning Specialty study plans into current AWS MLA-C01, AIP-C01, and AIF-C01 practice paths.
Use this page to translate older AWS Machine Learning Specialty study intent into current AWS machine-learning and generative-AI routes.
| Item | Current route cue |
|---|---|
| Older code | MLS-C01 |
| Older route | AWS Certified Machine Learning - Specialty |
| Current ML engineering route | MLA-C01 Machine Learning Engineer Associate |
| Adjacent GenAI route | AIP-C01 Generative AI Developer - Professional |
| If your old MLS-C01 goal is about… | Compare first |
|---|---|
| data preparation, training, evaluation, deployment, monitoring, and MLOps | MLA-C01 |
| production GenAI, foundation models, RAG, agents, safety, and governance | AIP-C01 |
| broad AI and GenAI terminology before role-based practice | AIF-C01 |
| architecture context before ML specialization | SAA-C03 |
Choose the current exam by the production task. Use MLA-C01 if the task is ML lifecycle engineering, AIP-C01 if the task is GenAI application delivery, and AIF-C01 if the task is foundational vocabulary.