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Implementing and Operating AWS Machine Learning Solutions

Training a machine learning model is only the first step. This course will teach you how to deploy, monitor, and scale your machine learning solution in preparation for the Machine Learning Specialty exam.

Machine Learning Implementation and Operations is one of the four domains covered by the AWS Machine Learning Specialty certification exam. In this course, Implementing and Operating AWS Machine Learning Solutions, you’ll learn key areas from this domain that are covered in the exam. First, you’ll explore the different AWS services that can support a machine learning solution in production. Next, you’ll discover how to deploy and scale a machine learning model with Amazon Sagemaker. Finally, you’ll learn how to implement security best practices for your machine learning solution with AWS. When you’re finished with this course, you’ll have the skills and knowledge in this domain needed to prepare for the AWS Machine Learning Specialty certification exam.

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What's inside

Syllabus

Course Overview

AWS Machine Learning Services

Deploying a SageMaker Model

Securing a SageMaker Implementation

Implementing a Highly-available Machine Learning Solution

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Explores Amazon Machine Learning Services, which are standard in industry

Teaches AWS Machine Learning Specialty Preparation, which helps students prepare for their exam

Offers hands-on labs and interactive materials, which provide experience and practice

Covers Amazon Web Services, which are highly relevant in industry

Offers a comprehensive study of AWS Machine Learning, which provides depth and breadth

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Implementing and Operating AWS Machine Learning Solutions with these activities:

Review DevOps Principles

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Understanding DevOps principles will help ensure your solution is scalable and easy to manage.

Browse courses on DevOps

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Review the DevOps Lifecycle
Research CI/CD
Practice with a CI/CD Tool

Review Machine Learning Basics

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Reviewing the basics of machine learning will help you understand the concepts covered in this course more easily.

Browse courses on Supervised Learning

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Read articles or watch videos about machine learning concepts.
Take a practice quiz on machine learning.
Review your notes from previous machine learning courses.

AWS Documentation Drills

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Good documentation is essential for succeeding as a cloud engineer and practitioner.

Browse courses on AWS

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Find the AWS Documentation for SageMaker
Locate the API Reference
Find the Documentation for a Specific API
Practice using the API using the SDK

Seven other activities

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Follow Online Tutorials

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Following online tutorials will help you learn about specific machine learning topics in a structured and interactive way.

Browse courses on Online Learning

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Find a set of online tutorials that cover the topics you want to learn about.
Follow the tutorials step-by-step.
Complete the exercises and quizzes included in the tutorials.

Join a Study Group

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Joining a study group will allow you to discuss the course material with other students and get help with difficult concepts.

Browse courses on Collaborative Learning

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Find a study group that meets regularly.
Attend study group meetings and participate in discussions.
Help other students understand the material.

Amazon SageMaker Pricing Walkthrough

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Understanding pricing will help you plan for expenses down the road and help you make good choices for your budget.

Browse courses on AWS SageMaker

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Visit the SageMaker Pricing Page
Review the Pricing Tiers
Estimate Costs Using the Calculator

Create a Machine Learning Model

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Creating your own machine learning model will help you apply the concepts you learn in this course and gain practical experience.

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Choose a dataset to use for your model.
Select a machine learning algorithm and train your model.
Evaluate the performance of your model.
Deploy your model to a production environment.

Solve Practice Problems

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Solving practice problems will help you improve your understanding of machine learning algorithms and how to apply them to real-world problems.

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Check your answers against the provided solutions.
Find a set of practice problems online or in a textbook.
Solve the problems on your own.

Deploying a Custom SageMaker Model

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Deploying a custom SageMaker model will deepen your understanding of the deployment process, reinforce learning of AWS services, and allow you to build a solution that you can use to expand on.

Browse courses on SageMaker

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Create a SageMaker Model
Configure a SageMaker Endpoint
Use Boto3 to Deploy the Model

Developing a Machine Learning Pipeline

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Developing your own machine learning pipeline will significantly advance your mastery when it comes to working with machine learning models.

Browse courses on Machine Learning

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Define the Business Problem
Gather and Prepare Data
Select and Train a Model
Deploy the Model
Monitor and Evaluate the Pipeline

Career center

Learners who complete Implementing and Operating AWS Machine Learning Solutions will develop knowledge and skills that may be useful to these careers:

Machine Learning Engineer

The Implementing and Operating AWS Machine Learning Solutions course can also be very useful for Machine Learning Engineers. This course will provide you with the in-depth knowledge you need to build and manage machine learning solutions in production. The course covers a wide range of topics, including deploying machine learning models, managing data, and monitoring and troubleshooting machine learning systems. This course can also help you to prepare for the AWS Machine Learning Specialty certification exam, which is a valuable credential for Machine Learning Engineers.

See salaries and explore the career path for Machine Learning Engineer

Data Scientist

The Implementing and Operating AWS Machine Learning Solutions course fits well into the Data Scientist career. This course will provide you with the skills and knowledge needed to deploy and manage machine learning models in production, which is a key part of the Data Scientist job role. This course can also help you to prepare for the AWS Machine Learning Specialty certification exam, which is a valuable credential for Data Scientists.

See salaries and explore the career path for Data Scientist

DevOps Engineer

The Implementing and Operating AWS Machine Learning Solutions course may also be useful for DevOps Engineers who want to learn how to deploy and manage machine learning solutions in production. This course covers a wide range of topics, including deploying machine learning models, managing data, and monitoring and troubleshooting machine learning systems. This course can help DevOps Engineers to build and maintain reliable and scalable machine learning solutions.

See salaries and explore the career path for DevOps Engineer

Data Architect

The Implementing and Operating AWS Machine Learning Solutions course may also be useful for Data Architects who want to learn how to design and manage data pipelines for machine learning solutions. This course covers a wide range of topics, including data modeling, data integration, and data governance. This course can help Data Architects to build and maintain reliable and scalable data pipelines for machine learning solutions.

See salaries and explore the career path for Data Architect

Cloud Architect

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Cloud Architects who want to learn how to design and manage cloud infrastructure for machine learning solutions. This course covers a wide range of topics, including cloud computing concepts, cloud security, and cloud networking. This course can help Cloud Architects to build and maintain reliable and scalable cloud infrastructure for machine learning solutions.

See salaries and explore the career path for Cloud Architect

Software Architect

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Software Architects who want to learn how to design and manage software systems for machine learning solutions. This course covers a wide range of topics, including software design patterns, software development methodologies, and software testing. This course can help Software Architects to build and maintain reliable and scalable software systems for machine learning solutions.

See salaries and explore the career path for Software Architect

IT Manager

The Implementing and Operating AWS Machine Learning Solutions course may be useful for IT Managers who want to learn how to manage machine learning projects. This course covers a wide range of topics, including project management, risk management, and change management. This course can help IT Managers to successfully manage machine learning projects.

See salaries and explore the career path for IT Manager

Security Engineer

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Security Engineers who want to learn how to secure machine learning solutions. This course covers a wide range of topics, including information security, cloud security, and machine learning security. This course can help Security Engineers to implement security best practices for machine learning solutions.

See salaries and explore the career path for Security Engineer

Network Engineer

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Network Engineers who want to learn how to design and manage networks for machine learning solutions. This course covers a wide range of topics, including network architectures, network protocols, and network security. This course can help Network Engineers to build and maintain reliable and scalable networks for machine learning solutions.

See salaries and explore the career path for Network Engineer

Systems Engineer

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Systems Engineers who want to learn how to design and manage systems infrastructure for machine learning solutions. This course covers a wide range of topics, including cloud computing concepts, cloud security, and cloud networking. This course can help Systems Engineers to build and maintain reliable and scalable systems infrastructure for machine learning solutions.

See salaries and explore the career path for Systems Engineer

Business Analyst

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Business Analysts who want to learn how to use machine learning to solve business problems. This course covers a wide range of topics, including machine learning concepts, machine learning algorithms, and machine learning applications. This course can help Business Analysts to make better use of machine learning to solve business problems.

See salaries and explore the career path for Business Analyst

Data Analyst

The Implementing and Operating AWS Machine Learning Solutions course may also be useful for Data Analysts who want to learn how to analyze data for machine learning solutions. This course covers a wide range of topics, including data analysis techniques, data visualization, and data mining. This course can help Data Analysts to build and maintain reliable and scalable data pipelines for machine learning solutions.

See salaries and explore the career path for Data Analyst

Database Administrator

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Database Administrators who want to learn how to manage databases for machine learning solutions. This course covers a wide range of topics, including database design, database administration, and database security. This course can help Database Administrators to build and maintain reliable and scalable databases for machine learning solutions.

See salaries and explore the career path for Database Administrator

Product Manager

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Product Managers who want to learn how to develop and manage machine learning products. This course covers a wide range of topics, including machine learning concepts, machine learning algorithms, and machine learning applications. This course can help Product Managers to make better use of machine learning to develop and manage machine learning products.

See salaries and explore the career path for Product Manager

Data Engineer

The Implementing and Operating AWS Machine Learning Solutions course may be useful for Data Engineers who want to learn how to design and manage data pipelines for machine learning solutions. This course covers a wide range of topics, including data modeling, data integration, and data governance. This course can help Data Engineers to build and maintain reliable and scalable data pipelines for machine learning solutions.

See salaries and explore the career path for Data Engineer

Reading list

We've selected ten books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Implementing and Operating AWS Machine Learning Solutions.

Introduction to Machine Learning, fourth edition

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Offers a comprehensive theoretical foundation in machine learning, making it a valuable resource for those seeking a deeper understanding of the underlying principles.

Implementing and Operating AWS Machine Learning Solutions

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What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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