AWS Certified Machine Learning - Specialty (MLS-C01): Data Engineering

What you'll learn

This course is part of a series, designed to help you prepare for the AWS Certified Machine Learning - Specialty (MLS-C01) exam. The courses in this series are focused on the domains from the exam guide, and we recommend taking them in this order: * AWS Certified Machine Learning - Specialty (MLS-C01): Data Engineering * AWS Certified Machine Learning - Specialty (MLS-C01): Exploratory Data Analysis * AWS Certified Machine Learning - Specialty (MLS-C01): Modeling * AWS Certified Machine Learning - Specialty (MLS-C01): Machine Learning Implementation and Operations * AWS Certified Machine Learning - Specialty (MLS-C01): Exam Preparation You probably already know that machine learning is shaping our world—from facial recognition to fraud detection, autonomous vehicles to chatbots. This trend will only continue to grow, and you, Cloud Guru, have made a wise choice to get into this field. In this course, AWS Certified Machine Learning Specialty, you’ll learn how to use AWS machine learning technologies to tackle real-world problems. First, you’ll discover the different kinds of problems that can be solved with machine learning, and how to select the best approach. Next, you’ll explore the four exam domains, getting lots of hands-on practice along the way: data engineering, exploratory data analysis, modeling, and machine learning implementation and operations. Finally, you’ll learn how to apply best practices to ensure your machine learning solutions are scalable, reliable, cost-effective, and secure. When you’re finished with this course, you’ll have the skills and knowledge of AWS machine learning technologies required to take the AWS Certified Machine Learning Specialty exam.