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AWS Certified Machine Learning Specialty

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Course Report - AWS Certified Machine Learning Specialty

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

9 hours

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Advanced

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Teaching Type

Self Paced

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Video Content

9 hours

Course Description

This AWS Machine Learning certification course will show you how to tune, deploy, train, and build Machine Learning models (ML) on AWS.

Our 200+ question Certified AWS Machine Learning Specialty Practice Exams will give you an idea about the actual AWS Machine Learning exam.

The course includes hands-on labs. The labs will be available for you to use in approximately 10 sessions to enhance your AWS Machine Learning skills.

Course Overview

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Virtual Labs

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Personlized Teaching

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Case Based Learning

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Post Course Interactions

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Case Studies,Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

Ability to incorporate operational and deployment practices

Ability to perform basic hyperparameter optimization

Basic understanding and ability to express the purpose of the Machine learning algorithms

Experience in handling ML/deep learning frameworks

Minimum one year of hands-on experience in architecting, building or running ML/deep learning workloads on the AWS Cloud

What You Will Learn

Design and implement scalable, cost-optimized, reliable, and secure ML solutions

Identify appropriate AWS services to implement ML solutions

Select and justify the appropriate Machine Learning (ML) approach for a given business problem

Target Students

Business Decision Makers

Data Platform Engineers

Data Scientists

Developers

One who is aspired to build a career in ML

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