This course is aimed at professionals preparing for the AWS Certified Machine Learning – Specialty (MLS-C01) exam. It focuses on key concepts like building data pipelines, feature engineering, and optimizing machine learning models using AWS services, ensuring that you understand not just the technical aspects but also how they apply to real-world scenarios. You'll walk away with not just test-prepping skills but a deeper confidence in machine learning practices tailored to AWS.
What you'll learn
building scalable data pipelines on AWS
performing exploratory data analysis to identify data quality issues
selecting and tuning machine learning models using SageMaker
deploying machine learning systems with monitoring and governance
Course objectives
develop a strong foundation in data engineering for ML
gain clarity on AWS-aligned reasoning for exam questions
learn to recognize exam traps related to cost, scale, and security