Best AI Courses & Certifications for 2020

Machine Learning Offered by Stanford

No doubt, this is one of the best machine learning (ML) and artificial intelligence (AI) courses out there. The course is prepared by Andrew Ng who is a pioneer ML scientist and expert. He’s led the ML research for Google and Baidu.

What the course offers

• A brief yet comprehensive introduction to machine learning terms that is quite useful for beginners.
• It provides an understanding of both basic and advanced concepts.
• It has a hands-on approach to learning machine learning.
• It comes with multi-language support including English, Chinese, Hebrew, Spanish, Hindi, and Japanese.

Price: Paid

Introduction to Machine Learning with R

This online course is delivered by DataCamp. It’s one of the best courses with a focus on statistics as it is the basic requirement for creating good data science projects. It has a hands-on approach to machine learning fundamental concepts. It provides a detailed understanding of the basic machine learning models.

What the course offers

• An in-depth introduction of machine learning equally useful to beginners and experts.
• It gives an overview of programming languages such as Python, R, SQL, Spark, etc.
• It provides a thorough visualization of the techniques used in machine learning.

Price: Free

Understanding Machine Learning with Python

This is a short and concise two-hour course that sums up your knowledge of machine learning is offered by Pluralsight. It introduces you to scikit-learn which is the framework for modeling data and it helps you build great predictive models. Though it is a paid course, with Pluralsight’s 10-day free trial, you should be able to complete this course.

What the course offers

• The course utilizes Python which is an extensively used and easy programming language.
• It gives a thorough introduction on how to prepare data and how to use Github as a hosting platform.
• It teaches you how to format unstructured data sets to make sense of them.
• An easy introduction on how to train your machine learning models and how you can test its accuracy.

Price: Paid

Intro to Machine Learning

What’s amazing about this online course from Udacity is their attention to detail. Its syllabus is thoughtfully curated and has the required course materials. The instructors are industry experts and veterans with a practical teaching style. What’s more this course is offered for free.

What the course offers

• It teaches you the end-to-end process of how to investigate large data sets.
• It’s perfect for computer science graduates who want to start a career in data analytics.
• The contents of the course are rich but self-paced.
• It has interactive quizzes to test your learning.

Price: Free

Machine Learning on edX

This course by Columbia University is thoughtfully curated for beginners. It has neatly organized sections on probabilistic and non-probabilistic modeling and supervised and unsupervised learning. The course covers most of the basic machine learning fundamentals ranging from Markov models to Kalman filters.

What the course offers

• It covers every machine learning fundamental concept with an in-depth learning experience
• It teaches algorithms and models most relevant to real-world machine learning problems.
• It explains the math behind these algorithms.

Price: Free

Launching into Machine Learning

This course offered by Google Cloud covers a range of machine learning topics from data cleansing to optimizing predictive models. It focuses exclusively on neural network modeling with a hands-on approach.

What the course offers

• A detailed walkthrough of supervised learning and gradient descent.
• It covers deep learning and neural network algorithms.
• It discusses a few of the practical machine learning problems such as generalization.
• It provides an easy understanding of the historical aspects of machine learning.

Price: Free

Machine Learning Foundations: A Case Study Approach

As the title of the course suggests, the course focuses on the real-world understanding of machine learning instead of discussing the theoretical aspects of this engineering field. It covers various machine learning fundamentals with a practical approach.

What the course offers

• It helps you identify practical applications of machine learning and how to implement them in Python.
• It discussed the differences in analyses enabled by regression, classification, and clustering.
• It teaches you how to apply regression, classification, clustering, retrieval, recommender systems, and deep learning.
• It shows you how to build an end-to-end application using machine learning.

Price: Free

Learn with Google AI

This machine learning course has rich content for both beginners and seasoned machine learning experts. This is a great machine learning course developed by Google. The course also provides advanced information that boosts your ML journey and training.

What the course offers

• It helps broaden the scope of machine learning fundamentals for beginners.
• It covers a wide range of topics, from a basic introduction to machine learning to using TensorFlow framework.
• The exercises are well-curated and encourage you to think independently.
• It helps you get started with designing and testing your own neural network.

Price: Free

Closing thoughts

Artificial intelligence and machine learning subjects are incredibly interesting to learn and experiment with. They are quickly becoming one of the key components of various products across industries. These courses will give you the head start you need to master this field. If you have a favorite course you’d like to see added to the list, drop us a comment.