EARLY ACCESS: This course is in early access. Enroll now to get special early access, including access to the private Slack channel in Tech Study Slack.

 
Machine Learning and Deep Learning core concepts clearly explained.

Understanding core concepts is a foundation for mastering Machine Learning and Deep Learning.


This course starts at the very beginning with a clear explanation of these concepts and builds upon them without assuming any prior knowledge.


Learn the craft of Machine Learning through real understanding.


Practical examples with hands on experience.

Gain valuable experience and gain real-world skills for working in the industry.


Through many practical and hands-on lessons, code is provided to build real solutions.  Follow the lesson, and then adapt the code and experiment.


Build your skillset through guided examples.

Designed for the AWS MLS-C01 exam.

Gain the confidence to pass the AWS Machine Learning Specialty Certification and announce your skills to the world.


This course is designed from scratch to help you pass the certification exam and provide useful knowledge if apply for ML Engineering jobs.


Connect with other students on the same journey and share your experience.

Course Curriculum

  INTRODUCTION TO THE COURSE
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  INTRODUCTION TO MACHINE LEARNING
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  DATA
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  ALGORITHMS
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  TRAINING
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  TESTING & PERFORMANCE
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  HOSTING & INFERENCE
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  TOOLS & FRAMEWORKS
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  AWS AI SERVICES (Coming soon...)
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  AMAZON SAGEMAKER (Coming soon...)
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  OTHER AWS SERVICES (Coming soon...)
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Frequently Asked Questions (FAQ):


Who can take this course?

While I welcome anyone who wants to take this course, you need to know that the MLS-C01 exam is not a typical entry-level certification. I recommend that you have passed, or could pass, and AWS associate-level certification before tackling this course.

However, if you're technically minded, you want to learn about machine learning, and you don't plan to take the certification for a while (or ever) then you should find this course useful to get started in ML.


What do I need to take the course?

Apart from time, and Internet access, etc, you will need an AWS account to be able to follow along with the build activities. I strongly recommend that you create a new account specifically for the purpose of studying any area of AWS, and this is no different.


I am new to AWS, can I take this course?

The first half of the course is not focused on AWS, but it's mentioned here and there. The second half of the course assumes that you have AWS knowledge, so please keep this in mind. If you want to learn AWS from scratch then here is an excellent course to consider, that starts from a position of no AWS experience: https://learn.cantrill.io/p/aws-certified-solutions-architect-associate-saa-c02


What is EARLY ACCESS?

Why are some of the lessons missing?

It looks a bit short!

This course is being released in EARLY ACCESS, so it's still in development and new lessons are being added all the time. This is a really exciting time to join the course.


Is the price for a one-off purchase or monthly subscription?

One-off purchase.


How can I contact Mike?

There are a few ways:

Connect via LinkedIn here: https://linkedin.com/in/mikegchambers

Message via TechStudySlack, get an invite here: https://techstudyslack.com

Via Twitter: @mikegchambers


Hi, I’m Mike


Hello! I was one of the first in the world to get AWS certified, and since then I have helped hundreds of thousands of people from all around the world to advance their career and get certified too.

As well as having a passion for teaching, I'm an experienced Solutions Architect working around the world with some of the largest companies on the planet, governments, and amazing start-ups.

Originally from the UK, I now live in sunny Queensland Australia with my amazing family, Sparky the dog, and Asher the cat (plus a transient collection of emergency fostered animals).