******** PREVIEW *******
This Learning Path is still in development and requires additional content to cover all of the points assessed in the Exam. We are busy working on new content to fill all the gaps. Until then, the Courses and Labs currently available, in this Learning Path, will allow you to get started in preparing for this certification.
19th June 2019 - Added Lab: Forecast Flight Delys with Amazon SageMaker
Learning Path Overview
Specifically designed to help you prepare for the AWS Machine Learning - Specialty Certification, this preview Learning Path provides interactive content comprised of hands-on labs and video Courses. This training content has been carefully created to help you study for this AWS certification.
The aim of the certification is to validate your knowledge across a number of different key areas, which have been defined by AWS as being able to:
- Select and justify the appropriate ML approach for a given business problem.
- Identify appropriate AWS services to implement ML solutions.
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions.
As a means of demonstrating this knowledge, you will be tested across 6 different domains, with each domain contributing to a total percentage of your overall score. These domains are broken down as:
- Domain 1: Data Engineering 20%
- Domain 2: Explatory Data Analysis 24%
- Domain 3: Modelling 36%
- Domain 4: Machine Learning Implementation and Operations 20%
This Learning Path is suitable for those wanting to pass the AWS Machine Learning - Specialty Certification Exam.
This is one of the 4 specialty level certifications available with AWS and it's guided to those who already have experience with AWS, and ideally have already passed an Associate level Exam providing some foundation knowledge of AWS. In addition to this, it is recommended you have experience developing, architecting, or running ML/deep learning workloads on the AWS Cloud, but these are not prerequisites in taking this certification.
We welcome all feedback and suggestions - please contact us at email@example.com if you are unsure about where to start or if you would like help getting started.
Learning Path Steps
Overview In this course you'll learn about Machine Learning and where it fits within the wider Artificial Intelligence (AI) field. The course proceeds with a formal definition of Machine Learning, and continues on with explanations for the various machine ...
When we saw how incredibly popular our blog post on Amazon Machine Learning was, we asked data and code guru James Counts to create this fantastic in-depth introduction to the principles and practice of Amazon Machine Learning so we could completely satisfy...
Overview This training course begins with an introduction to the concepts of Distributed Machine Learning. We'll discuss the reasons as to why and when you should consider training your machine learning model within a distributed environment. Apache Sp...
Develop, visualize, serve, and consume a TensorFlow machine learning model using the Amazon Deep Learning AMI in this Lab.
Take control of a p2.xlarge instance equipped with an NVIDIA Tesla K80 GPU to perform CPU vs GPU performance analysis for AWS Machine Learning in this Lab.
Overview In this course you'll learn about Amazon Rekognition, a service that enables you to easily and quickly integrate computer vision features directly into your own applications. At its core, Amazon Rekognition provides an API that you submit images a...
Learn how to implement object detection on every new image uploaded on Amazon S3.
In this Amazon Lex course you will be guided through an in-depth study of the Amazon Lex service. We review where and when to use this service to best effect. We'll go over Chatbots in general and why they have become both useful and popular. You will be in...
Join this Lab and gain experience using an MXNet convolutional neural network to style images and monitor the GPU used for training in Amazon CloudWatch.
This Lab uses Amazon SageMaker to create a machine learning model that forecasts flight delays for US domestic flights. Amazon SageMaker is a fully-managed service that covers the entire machine learning workflow. The Lab does not require any data science o...
This course looks at one of the key Security services within AWS, Identity & Access Management, commonly referred to IAM. This service manages identities and their permissions that are able to access your AWS resources and so understanding how this service ...
Learn how to manage our organization using IAM Users and Groups and IAM Roles
Knowledge Check: Overview of AWS Identity and Access Management (IAM)
Course Description Unencrypted data can be read and seen by anyone who has access to it, and data stored at-rest or sent between two locations, in-transit, is known as ‘plaintext’ or ‘cleartext’ data. The data is plain to see and can be seen and under...
Course Description One of the core building blocks of Infrastructure as a Service (IaaS) is that of storage, and AWS provides a wide range of storage services that allow you to architect the correct solution for your needs. Understanding what each of thes...
Knowledge Check: AWS Storage Fundamentals
Preview Exam: Certified Machine Learning - Specialty for AWS
Added new Lab:
- Forecast Flight Delays with Amazon SageMaker
About the Author
Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data centre and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 50+ courses relating to Cloud, most within the AWS category with a heavy focus on security and compliance
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.