AWS Machine Learning Engineer Exam Prep

The Exam Prep MLA-C01: AWS Certified Machine Learning Engineer – Associate specialization is designed for professionals seeking to build and deploy scalable, production-grade machine learning solutions using Amazon Web Services (AWS). This comprehensive learning path empowers learners with practical, hands-on experience in developing, optimizing, and operationalizing ML workflows using services like Amazon SageMaker, AWS Glue, Amazon S3, AWS AI/ML APIs, and more . Each course builds technical proficiency and exam readiness for the AWS Certified Machine Learning – Associate (MLA-C01) certification. AWS: Machine Learning & MLOps Foundations AWS: Feature Engineering, Data Transformation & Integrity AWS: Model Training, Optimization & Deployment AWS: ML Workflows with SageMaker, Storage & Security AWS: Managed AI Services Each course is divided into Modules, Lessons, and Video Lectures , delivering a blend of 4 to 4.5 hours of hands-on and theoretical content . Learners can assess their progress with Practice and Graded Assignments after each module, reinforcing core concepts and real-world readiness. By completing this specialization, learners will be able to: Design, implement, and automate scalable machine learning workflows on AWS Prepare and transform data for ML using AWS Glue, DataBrew, and Feature Store Train, tune, evaluate, and deploy models using Amazon SageMaker

• Master data ingestion, transformation, and model training using Amazon SageMaker
• Build and optimize ML models for real-world applications like classification and forecasting
• Prepare effectively for the AWS Certified Machine Learning – Associate exam

• Basic familiarity with ML terminology and concepts
• Willingness to engage in hands-on exercises and projects