Getting Started with AWS Machine Learning

DNF

Quote: "By the end of this course, you should be able to speak confidently about these categories of ML algorithms with your customers and help them determine the category that fits their problem."

There is ZERO substance to the course. It's stated goal is to teach you, how to sound like you know what you're talking about whilst being completely clueless.

And the instructors seem to be as well.

Again, a direct quote from the first video of the course, about 10 minutes in:

"With deep learning, the machine is provided lots of facial reference data upfront, and unlike traditional Machine Learning or AI, it isn't always told exactly what features to look for. It uses it's highly advanced data processing capabilities and neural networks to derive the important features it needs to look for from the data itself. Rather than the developers telling the machine ahead of time how to recognize specific, how to define things like facial hair, the machine simply looks for the common features that define all of the humans in this data, and looks for those in the things that it sees. In other words, the machine defines the essential features of its subject rather than the developer. **That's what distinguishes deep learning from the traditional machine learning.**" (emphasis mine)

It is a mashup of Amazon training videos. It starts with a introduction to concepts related to machine learning, continues with and explanation of a machine learning pipeline, and then the last 3 weeks are presentations of main AWS Machine Learning services: Rekognition, SageMaker, GroundTruth, etc.

It fulfills the objective of getting familiar with machine learning and which Amazon services choose if we want to implement a certain solution. It is a little bit difficult to follow because the course is not homogeneous: some videos have very detailed explanations, and others are detailed but confusing. The tests are not well designed: they have just 2 or 3 questions about some random points exposed. Some of the videos are more spots than lessons.