In this article, I’ll discuss 7 of the best machine learning courses online.

Some links in this article are affiliate links.

1. Become a Machine Learning Engineer Nanodegree (Udacity)

This project-based program will help you gain hands-on experience with:

  • advanced machine learning techniques and algorithms
  • packaging and deploying your models to a production environment
  • Amazon SageMaker to deploy trained models to a web application
  • evaluating the performance of your models
  • A/B testing your models
  • updating your models as you gather more data

This nanodegree contains the following four sections:

  • Software Engineering Fundamentals
  • Machine Learning in Production
  • Machine Learning Case Studies
  • Machine Learning Capstone

2. AWS Certified Machine Learning Specialty – Hands On! (Udemy)

This course covers topics such as:

  • AWS SageMaker and numerous other AWS products and services
  • sci-kit learn
  • feature engineering
  • data engineering
  • modeling
  • deep learning basics
  • and more

Not only that, it’ll give you the exact knowledge you need to pass the AWS Certified Machine Learning – Specialty exam.

It contains over 9 hours of on-demand video and one practice exam.

3. Google Cloud Platform Big Data and Machine Learning Fundamentals (Coursera)

This course will teach you to perform machine learning activities using various Google Cloud products and services. It only takes around 12 hours to complete this course.

4. Become a Machine Learning Engineer for Microsoft Azure (Udacity)

This Nanodegree will give you hands-on experience with running complex machine learning activities using various Azure products and services and open source tools and frameworks.

This program has the following sections:

  • Using Azure Machine Learning
  • Machine Learning Operations
  • Capstone Project

5. Intro to Machine Learning with TensorFlow (Udacity)

This Nanodegree will give you hands-on experience with Tensorflow. You’ll gain practical experience with:

  • foundational machine learning algorithms
  • deep learning algorithms
  • unsupervised learning algorithms

Sections that fall under this Nanodegree are:

  • Supervised Learning
  • Deep Learning
  • Unsupervised Learning

6. Intro to Machine Learning with PyTorch (Udacity)

This Nanodegree will help you get hands-on experience with PyTorch. I also went through this Nanodegree program a couple of years ago and found it extremely useful. You’ll gain practical experience with:

  • foundational machine learning algorithms
  • deep learning algorithms
  • unsupervised learning algorithms

Sections that fall under this Nanodegree are:

  • Supervised Learning
  • Deep Learning
  • Unsupervised Learning

7. Machine Learning by Andrew Ng (Coursera)

This course on Coursera is the most popular machine learning course in the world with around 4 million students enrolled at the time of this recording. In this course, you’ll learn about not only the theoretical underpinnings of learning, but you’ll also gain the practical know-how needed to quickly and powerfully apply these techniques to new problems.

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