From the course: Machine Learning with SageMaker by Pearson

Machine learning with SageMaker: Introduction - Amazon SageMaker Tutorial

From the course: Machine Learning with SageMaker by Pearson

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Machine learning with SageMaker: Introduction

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Welcome to the AWS Certified Machine Learning Engineer Associate video course. This course is all about getting you ready to pass the MLA-C01 certification exam with confidence. We'll cover everything from preparing your data, to building, deploying and monitoring machine learning models using AWS tools like SageMaker. We will cover all of the key topics including data preparation for machine learning, ML model development, as well as ML workflows, monitoring, maintenance and security. A bit about me, I'm currently a solution integration architect with Cisco Systems where I deploy and support large scale enterprise and data center designs for prominent clients in the San Francisco Bay Area. I have also co-founded an IoT company that runs entirely on AWS infrastructure that I manage and is using AWS ML services for anomaly detection. I have a few certifications under my belt, a couple CCIEs from Cisco, CISSP and CEH in the security space, as well as a couple Amazon certifications. In my day job, I do quite a bit with Amazon Web Services design, particularly with respect to extending enterprise services into cloud service providers such as Amazon AWS, Microsoft Azure and Google Compute. Whether you're brushing up on your skills or diving into machine learning on AWS for the first time, we've got you covered. Let's get started and make your certification goal a reality.

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