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AWS Machine Learning Engineer

viaUdacity
4.75 Rating
Difficulty
Beginner
Cost
N/A
Format
Instructor Led
Delivery
Online
Time Commitment
1 weeks 1 hrs/week

Summary

The Machine Learning Engineer Nanodegree by Udacity is a self-paced, online program designed to equip learners with the skills needed to build and deploy machine learning models using Amazon SageMaker. Through hands-on projects and real-world case studies, students will engage in practical applications of data preprocessing, model training, and deployment pipelines. This course offers a comprehensive understanding of Amazon SageMaker's tools, such as automated model tuning and deployment services, to prepare learners for advancing their careers in machine learning engineering.

  • Before You Learn / Who This Course Is For
    • Designed for aspiring machine learning engineers

    • Ideal for those with basic programming knowledge

    • No specific prerequisites required beyond programming basics

  • What to Expect
    • Self-paced online format with flexible learning

    • Hands-on projects and real-world case studies

    • Utilizes Amazon SageMaker's integrated tools and services

  • What You'll Achieve
    • Certificate of completion from Udacity

    • Skills in deploying scalable ML models

    • Proficiency in Amazon SageMaker for production environments

Certifications covered by this course

No certifications are covered by this course.

Course Reviews

4.75 rating (24 reviews)
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Shahram Najam Syed

Graduate 2019

December 25, 2019
Machine Learning Engineer Nanodegree

The concepts presented in this nanodegree are quite comprehensive and the highlight of all of it is the mentor support as well as the module projects (a total of 4 including a project proposal write up) assures practice of the learnt concepts.

M

Megha Raveendran

Graduate 2019

November 22, 2019
Machine Learning Engineer Nanodegree

Machine learning nanodegree program comprising supervised and unsupervised Machine Learning techniques, Industry case studies and machine learning model life cycle management with special focus on model deployment.

A

Alexandre

Graduate 2019

November 08, 2019
Machine Learning Engineer Nanodegree

The Machine Learning Engineer Nanodegree was life-changing for me. Thanks to the knowledge I got from the courses and the projects that helped build my portfolio, I could shift to the data science field and now I work as a data scientist in a great company.

Z

Zeeshan Siddiqui

Graduate 2018

November 08, 2019
Online courses free and paid experiences

Udacity is probably the second learning platform I stumbled upon after FreeCodeCamp and it changed learning for me forever.
I have completed thoroughly, went halfway through, eighty percent completion..etc with a lot of free courses as per my needs in the industry. Be it learning sql or unix or simple python, while trying to shift gears from Manual to Automation testing, Udacity was always there with all the resources.
Impressed with all its gifts of learning, I tried a bold step and invested in the Machine Learning Beginner course, completed it and was never more confident. It has been an awesome experience and a greater learning opportunity. I have accessed it on office computer, personal laptop and even sometimes on my mobile while trying to fall asleep just to watch the remaining lectures of any course that I may have signed up for earlier.

The learning is still incomplete and the lessons and courses are still signed up for regularly. Hope to continue this journey and be a lifelong learner with Udacity.

Best Regards.

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