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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.

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Highlights

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Pedagogy

Top 1 Percentile

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Hands on training

Top 10 Percentile

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Rating & Reviews

Top 30 Percentile

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Parameters

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Pedagogy

This comprehensive course equips you with all major AWS skills applicable to your daily life. Personalized teaching ensures one-on-one doubt resolution with faculty, maximizing skill acquisition. These practical skills empower you to confidently apply your knowledge and thrive in various real-life situations. An exceptional course in AWS, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Hands on training

This course stands out as one of the top 10 percentile options in AWS, offering unparalleled hands-on training. Learners gain practical experience and skills through immersive learning, preparing them for real-world challenges. It ensures a well-rounded skill set, catering to a range of learning preferences. With a focus on Hands on training as well as essential Case Based Learning and Virtual Labs, this course is tailored to meet diverse educational needs.

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Rating & Reviews

This highly acclaimed course is among the top-rated in AWS, boasting a rating greater than 4 and an overall rating of 5.0. Its exceptional quality sets it apart, making it an excellent choice for individuals seeking top-notch learning experience in AWS.

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

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

Experience in handling ML/deep learning frameworks

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

Ability to perform basic hyperparameter optimization

Ability to incorporate operational and deployment practices

What You Will Learn

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

Identify appropriate AWS services to implement ML solutions

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

Target Students

Data Scientists

Business Decision Makers

Developers

Data Platform Engineers

One who is aspired to build a career in ML

Course Reviews

Average Rating Based on 5 reviews

5.0

100%

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