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- A Cloud Guru
AWS Certified Machine Learning - Specialty (MLS-C01): Data Engineering
The AWS Certified Machine Learning Specialty certification validates your ML skills on AWS. This course will teach you the knowledge and skills required to take the exam.
What you'll learn
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.
Table of contents
About the author
I am a multi cloud certified architect. I have consulted, trained, and worked with executives and IT professionals to understand, design, and implement cloud-based solutions. At A Cloud Guru, I created compelling training to teach architects, developers, and IT professionals how to implement cutting edge technology and achieve cloud certifications. At Cerner and Lone Light Analytics, I developed cloud-based solutions in Azure and AWS and consulted with business groups and clients to manage and migrate solutions into the cloud. In addition, I am a PMP certified project manager and adjunct professor at Mid America Nazarene University. I apply my knowledge of business strategy, project management, agile software development, and IT infrastructure to streamline business function and foster business growth. I have managed all aspects of the SDLC process and created and managed multiple project management offices.
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