Udemy

Complete AWS Machine Learning for Beginners and Masters

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  • 228 Students
  • Updated 11/2020
4.4
(16 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
10 Hour(s) 46 Minute(s)
Language
English
Taught by
Mammoth Interactive, John Bura
Rating
4.4
(16 Ratings)
4 views

Course Overview

Complete AWS Machine Learning for Beginners and Masters

Learn how to snag the most in demand role in the tech field today!

Machine learning allows you to build more powerful, more accurate and more user friendly software that can better respond and adapt.

Many companies are integrating machine learning or have already done so, including the biggest Google, Facebook, Netflix, and Amazon.

There are many high paying machine learning jobs.

Jump into this fun and exciting course to land your next interesting and high paying job with the projects you’ll build and problems you’ll learn how to solve.


This course is project-based so you will not be learning a bunch of useless coding practices, but rather the most important techniques on the coding job to want today. At the end of this course you will have real world apps to use in your portfolio. We feel that project based training content is the best way to get from A to B. Taking this course means that you learn practical, employable skills immediately.


You can use the projects you build in this course to add to your LinkedIn profile. Give your portfolio fuel to take your career to the next level.


Learning how to code is a great way to jump in a new career or enhance your current career. Coding is the new math and learning how to code will propel you forward for any situation. Learn it today and get a head start for tomorrow. People who can master technology will rule the future.

Course Content

  • 9 section(s)
  • 80 lecture(s)
  • Section 1 Intro to SageMaker
  • Section 2 Data and S3
  • Section 3 Building a Linear Learner in SageMaker
  • Section 4 Using the Debugger
  • Section 5 SciKit-Learn
  • Section 6 XGBoost
  • Section 7 Tensorflow Tuning
  • Section 8 Project - Image Classification
  • Section 9 Project - Movie Genre Prediction

What You’ll Learn

  • Basic AWS Concepts
  • Implement Machine Learning algorithms
  • Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
  • Explore large datasets using data visualization tools like Matplotlib and Seaborn
  • How to improve your Machine Learning Models

Reviews

  • S
    Shunyi Huang
    1.0

    No one is answering question, trash course

  • K
    Koji Koshikawa
    5.0

    So fart this course is wonderful. I have some knowledge about ML, but I did not know how to use SageMaker. This course provides a step-by-step of how to use SageMaker Studio. I love this course.

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