Updates to AWS Certified Machine Learning Engineer \u2013 Associate (MLA-C02)<\/p>\n
Coming Soon: Updates to AWS Certified Machine Learning Engineer \u2013 Associate (MLA-C02)<\/em><\/p>\n AWS Certification is updating the AWS Certified Machine Learning Engineer \u2013 Associate exam. Registration for the beta version of the exam will be available in English starting September 1, 2026. The last day to take the current version of the exam (MLA-C01) in English will be September 28, 2026. The current version of the exam (MLA-C01) will remain available in Japanese, Korean, and Simplified Chinese during the beta period.<\/p>\n The role of the machine learning (ML) engineer has evolved. Today\u2019s ML engineers don\u2019t just build and deploy traditional models. They implement generative AI solutions, work with foundation models and large language models (LLMs), orchestrate agentic AI workflows, and operationalize AI at scale. To keep pace with this evolution, the updated exam (MLA-C02) will include generative AI, agentic AI, and foundation model\/LLM workloads alongside traditional ML engineering. This certification validates your ability to build, deploy, maintain, and monitor ML and generative AI solutions on AWS using services like Amazon SageMaker AI, Amazon Bedrock, and others.<\/p>\n Who is this certification for?<\/strong><\/p>\n The updated AWS Certified Machine Learning Engineer \u2013 Associate certification is designed for professionals who build and operationalize ML and generative AI solutions in production environments. Target roles include:<\/p>\n Recommended experience:<\/strong><\/p>\n For employers and AWS Partners: This certification provides confidence that your ML engineers and MLOps engineers have validated, current skills across both traditional ML and generative AI, ensuring your teams can deliver production-grade solutions that meet today\u2019s business objectives<\/p>\n What has changed in MLA-C02 and why<\/strong><\/p>\n The domain structure of the exam remains the same. No new domains were added. However, the updated exam reflects key additions that align with how the ML engineer role has broadened in practice:<\/p>\n Existing task statements and skills have been updated to align with current industry practices, while retaining the core ML engineering competencies that the certification has always validated<\/p>\n Note: The full exam guide with detailed task statements will be available when beta registration opens on September 1, 2026<\/p>\n Key dates<\/strong><\/p>\n September 1, 2026 \u2013 Beta registration opens (English only); exam guide released<\/p>\n September 28, 2026 \u2013 Last day to take MLA-C01 in English (Japanese, Korean, and Simplified Chinese will remain available during the beta period)<\/p>\n September 29, 2026 \u2013 Beta delivery begins<\/p>\n Beta exam details<\/strong><\/p>\n Duration: 170 minutes<\/p>\n Number of questions: 85<\/p>\n Price: $75 USD<\/p>\n Language: English only<\/p>\n Delivery: Pearson VUE (test center or online proctoring)<\/p>\n Should you take MLA-C01 or MLA-C02?<\/strong><\/p>\n For those taking the exam in English, consider:<\/p>\n For all exam languages, the standard version of the updated exam (MLA-C02) will be available in early 2027<\/p>\n Get started today<\/strong><\/p>\n The ML engineer role has evolved, and this certification evolves with it. Whether you\u2019re building recommendation systems, fine-tuning foundation models, or implementing agentic AI workflows, MLA-C02 validates that your skills reflect what the industry demands today<\/p>\n \n Related:<\/strong> \n <a href="https:\/\/yoursite.com\/automation-africa\/" title="WhatsApp Marketing<\/a> Automation Africa: 6 Dangerous Mistakes Brands Make in Nigeria”> Join Justfine Infotech<\/strong> and build real digital skills<\/a> in AI, automation, web development<\/a>, digital marketing, office productivity, e-commerce, freelancing and cybersecurity.<\/p>\n Available Programmes:<\/strong> WhatsApp:<\/strong>\n
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