The AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification Training Course with Accumentum prepares ML engineers and MLOps practitioners to build, operationalize, deploy, and maintain machine learning solutions on AWS.
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification Training Course with Accumentum prepares ML engineers, MLOps engineers, and related practitioners to build, operationalize, deploy, and maintain machine learning solutions and pipelines on AWS. Aligned to the official MLA-C01 exam guide, Accumentum training covers data preparation for machine learning, model development, deployment and orchestration of ML workflows (MLOps), and ML solution monitoring, maintenance, and security—using Amazon SageMaker and related AWS services. This associate credential is Accumentum’s current primary AWS machine learning path.
Ingest, transform, validate, and prepare data for modeling using Amazon S3, AWS Glue, SageMaker Data Wrangler, Feature Store, and related AWS data services (Domain 1, 28% of scored content).
Select modeling approaches, train and refine models, tune hyperparameters, analyze performance, and manage model versions with SageMaker, JumpStart, and Amazon Bedrock where appropriate (Domain 2, 26%).
Choose deployment infrastructure and endpoints, script infrastructure, and set up CI/CD orchestration for ML pipelines with SageMaker Pipelines and AWS developer tools (Domain 3, 22%).
Monitor inference and drift, optimize infrastructure and cost, and secure ML systems with IAM, encryption, and network isolation (Domain 4, 24%).
Accumentum’s MLA-C01 curriculum follows the official AWS exam guide: Introduction to ML Engineering on AWS; Data Preparation for Machine Learning; ML Model Development; Deployment and Orchestration of ML Workflows; ML Solution Monitoring, Maintenance, and Security; Exam Preparation and Practice.
Participate in training sessions, discussions, and hands-on labs with experienced instructors.
Access extensive resources, including e-books, video lectures, and practice exams.
Engage in real-world exercises that mirror production data prep, training, deployment, and monitoring on AWS.
Course content mapped to the official MLA-C01 exam guide domains and task statements.
Accumentum MLA-C01 training prepares learners for the AWS Certified Machine Learning Engineer - Associate exam.
Upon completing the course, you will be prepared to take the AWS Certified Machine Learning Engineer - Associate exam (MLA-C01). This associate credential validates your ability to implement ML workloads in production and operationalize them on AWS. AWS positions MLA-C01 as the current role-based associate ML engineering certification; Accumentum offers it as the primary AWS ML path. The older Machine Learning – Specialty (MLS-C01) remains a specialty credential.
MLA-C01 with Accumentum: audience, prerequisites, course content, exam, and enrollment.
The AWS Certified Machine Learning Engineer - Associate (MLA-C01) Certification Training Course with Accumentum prepares ML engineers, MLOps engineers, and related practitioners to build, operationalize, deploy, and maintain machine learning solutions and pipelines on AWS. Accumentum training follows the official AWS exam domains: data preparation, model development, MLOps deployment and orchestration, and monitoring, maintenance, and security of ML solutions with Amazon SageMaker.
ML engineers and MLOps engineers: Professionals implementing production ML workloads on AWS who need associate-level validation of build, deploy, and operate skills. Related practitioners: Backend software developers, DevOps engineers, data engineers, and data scientists with at least one year of related experience. SageMaker practitioners: Learners with hands-on experience using Amazon SageMaker and other AWS services for ML engineering. Career advancers: Professionals moving from foundational AWS or AI Practitioner credentials into the current associate ML engineering path.
Recommended AWS ML experience: At least 1 year of experience using Amazon SageMaker and other AWS services for ML engineering. Related role experience: At least 1 year in a related role such as backend software developer, DevOps engineer, data engineer, or data scientist. ML and data fundamentals: Basic understanding of common ML algorithms, data formats, ingestion, transformation, and querying for ML pipelines. Engineering practices: Familiarity with modular code, CI/CD, infrastructure as code, and AWS security best practices is beneficial.
6 course-content areas: Introduction to ML Engineering on AWS; Data Preparation for Machine Learning; ML Model Development; Deployment and Orchestration of ML Workflows; ML Solution Monitoring, Maintenance, and Security; Exam Preparation and Practice.
Interactive Learning: Participate in training sessions, discussions, and hands-on labs with experienced instructors. Comprehensive Study Materials: Access extensive resources, including e-books, video lectures, and practice exams. Practical Scenarios: Engage in real-world exercises that mirror production data prep, training, deployment, and monitoring on AWS. Exam Alignment: Course content mapped to the official MLA-C01 exam guide domains and task statements.
Upon completing the course, you will be prepared to take the AWS Certified Machine Learning Engineer - Associate exam (MLA-C01). This associate credential validates your ability to implement ML workloads in production and operationalize them on AWS. AWS positions MLA-C01 as the current role-based associate ML engineering certification; Accumentum offers it as the primary AWS ML path. The older Machine Learning – Specialty (MLS-C01) remains a specialty credential.
AWS Certified Machine Learning Engineer – Associate (MLA-C01) is the current role-based associate ML credential Accumentum offers as the primary AWS ML path. Machine Learning – Specialty (MLS-C01) is the older specialty exam. Accumentum keeps the Specialty page live for reference and points learners to MLA-C01 as the featured associate ML course.
Join the AWS Certified Machine Learning Engineer - Associate Certification Training Course at Accumentum and start the current associate ML engineering path. For more information and to register, visit Accumentum’s registration page. You can also request guidance through Accumentum’s contact page.
Join the AWS Certified Machine Learning Engineer - Associate Certification Training Course at Accumentum and start the current associate ML engineering path. For more information and to register, visit Accumentum’s registration page.
Use Accumentum’s registration page to enroll, or request guidance through the contact page.
Join the AWS Certified Machine Learning Engineer - Associate Certification Training Course at Accumentum and start the current associate ML engineering path.
