AWS Machine Learning Specialty (MLS-C01) Has Retired: What to Take Instead (2026)
The AWS Machine Learning Specialty (MLS-C01) retired March 31, 2026. What replaced it — MLA-C01, AIF-C01, AIP-C01 — and which fits your background.
12 articles tagged with “ai-career”
The AWS Machine Learning Specialty (MLS-C01) retired March 31, 2026. What replaced it — MLA-C01, AIF-C01, AIP-C01 — and which fits your background.
AIF-C01 vs AIP-C01 compared: cost, passing score, domains, difficulty, and who each AWS AI certification is for. A clear pick based on your role and experience.
AIP-C01 difficulty explained: why it ranks among the hardest AWS exams, how it compares to SAP-C02 and ML certs, and how long to prepare.
What AIP-C01 practice questions look like, with realistic sample questions and reasoning for each exam domain — plus where to find legitimate practice tests.
The complete AI engineer career path for 2026: what the role is, the skills employers hire for, real salary data, and a step-by-step roadmap to break in.
The AWS Generative AI Developer certification (AIP-C01) costs $300 USD. Full price breakdown — exam fee, retake costs, vouchers, and the all-in total.
The complete AIP-C01 exam guide: all five domains and weightings, question format, scoring, and what AWS tests in each — from the official exam guide.
The AIP-C01 passing score is 750/1000. How AWS scales scores, why there's no fixed number of correct answers, and how many questions you realistically need.
AIP-C01 has no required prerequisite exams — AWS recommends 2+ years building on AWS and 1 year of generative AI experience. Here's what you actually need.
Most in-demand AI skills for 2026: prompt engineering, RAG, AI agents, and LLMOps. Learn what employers are hiring for and how to build these skills fast.
AWS Certified Generative AI Developer – Professional (AIP-C01) study guide for 2026: exam domains, passing score, cost, prerequisites, and a prep plan.
What AI agents and RAG are, why employers are hiring for these skills in 2026, and how to start building AI-powered applications with LangChain and Pinecone.