Machine Learning Engineering on AWS: Build, scale, and secure machine learning systems and MLOps pipelines in production
$46.99
Oct 2022530 pages1st EditioneBook
Subscription
$15.99 MonthlyPlay Sample Audio
eBook
Subscription
$15.99 Monthly
Key benefits
- Gain practical knowledge of managing ML workloads on AWS using Amazon SageMaker, Amazon EKS, and more
- Use container and serverless services to solve a variety of ML engineering requirements
- Design, build, and secure automated MLOps pipelines and workflows on AWS
Book description
There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various data engineering and ML engineering requirements in production. This machine learning book covers the essential concepts as well as step-by-step instructions that are designed to help you get a solid understanding of how to manage and secure ML workloads in the cloud. As you progress through the chapters, you’ll discover how to use several container and serverless solutions when training and deploying TensorFlow and PyTorch deep learning models on AWS. You’ll also delve into proven cost optimization techniques as well as data privacy and model privacy preservation strategies in detail as you explore best practices when using each AWS. By the end of this AWS book, you'll be able to build, scale, and secure your own ML systems and pipelines, which will give you the experience and confidence needed to architect custom solutions using a variety of AWS services for ML engineering requirements.Who is this book for?
This book is for machine learning engineers, data scientists, and AWS cloud engineers interested in working on production data engineering, machine learning engineering, and MLOps requirements using a variety of AWS services such as Amazon EC2, Amazon Elastic Kubernetes Service (EKS), Amazon SageMaker, AWS Glue, Amazon Redshift, AWS Lake Formation, and AWS Lambda -- all you need is an AWS account to get started. Prior knowledge of AWS, machine learning, and the Python programming language will help you to grasp the concepts covered in this book more effectively.What you will learn
Find out how to train and deploy TensorFlow and PyTorch models on AWS Use containers and serverless services for ML engineering requirements Discover how to set up a serverless data warehouse and data lake on AWS Build automated end-to-end MLOps pipelines using a variety of services Use AWS Glue DataBrew and SageMaker Data Wrangler for data engineering Explore different solutions for deploying deep learning models on AWS Apply cost optimization techniques to ML environments and systems Preserve data privacy and model privacy using a variety of techniquesWhat do you get with Print? 
Instant access to your digital eBook copy whilst your Print order is Shipped
Black & white paperback book shipped to your address
AI Assistant (beta) to help accelerate your development
Download this book in EPUB and PDF formats
Access this title in our online reader with advanced features
DRM FREE - Read whenever, wherever and however you wantEstimated delivery fee
Deliver to Standard
10 - 13 business days
undefined8.95
Premium
5 - 8 business days
undefined45.95
Product Details
Publication date :
Oct 27, 2022
Length :
530 pages
Edition :
1st Edition
Language :
English
ISBN-13 :
9781803247595
Category :
Concepts :
Tools :
Product Details
Publication date :
Oct 27, 2022
Length :
530 pages
Edition :
1st Edition
Language :
English
ISBN-13 :
9781803247595
Category :
Concepts :
Tools :
What do you get with Print?
Instant access to your digital eBook copy whilst your Print order is ShippedBlack & white paperback book shipped to your addressAI Assistant (beta) to help accelerate your developmentDownload this book in EPUB and PDF formatsAccess this title in our online reader with advanced featuresDRM FREE - Read whenever, wherever and however you wantEstimated delivery fee
Deliver to Standard
10 - 13 business days
undefined8.95
Premium
5 - 8 business days
undefined45.95
Product Details
Publication date :
Oct 27, 2022
Length :
530 pages
Edition :
1st Edition
Language :
English
ISBN-13 :
9781803247595
Category :
Concepts :
Tools :
Frequently bought together
$37.99
$25.99
$37.99
$25.99
$39.99
$27.98
$39.99
$27.98
$37.99
$25.99
$37.99
$25.99
Total
$ 0.00
Total
$ 0.00
Table of Contents
19 Chapters
Chapter 1: Introduction to ML Engineering on AWS
Technical requirements
What is expected from ML engineers?
How ML engineers can get the most out of AWS
Essential prerequisites
Preparing the dataset
AutoML with AutoGluon
Getting started with SageMaker and SageMaker Studio
No-code machine learning with SageMaker Canvas
AutoML with SageMaker Autopilot
Summary
Further reading
Chapter 2: Deep Learning AMIs
Technical requirements
Getting started with Deep Learning AMIs
Launching an EC2 instance using a Deep Learning AMI
Downloading the sample dataset
Training an ML model
Loading and evaluating the model
Cleaning up
Understanding how AWS pricing works for EC2 instances
Summary
Further reading
Chapter 4: Serverless Data Management on AWS
Technical requirements
Getting started with serverless data management
Preparing the essential prerequisites
Running analytics at scale with Amazon Redshift Serverless
Setting up Lake Formation
Using Amazon Athena to query data in Amazon S3
Summary
Further reading
Chapter 6: SageMaker Training and Debugging Solutions
Technical requirements
Getting started with the SageMaker Python SDK
Preparing the essential prerequisites
Training an image classification model with the SageMaker Python SDK
Using the Debugger Insights Dashboard
Utilizing Managed Spot Training and Checkpoints
Cleaning up
Summary
Further reading
Chapter 7: SageMaker Deployment Solutions
Technical requirements
Getting started with model deployments in SageMaker
Preparing the pre-trained model artifacts
Preparing the SageMaker script mode prerequisites
Deploying a pre-trained model to a real-time inference endpoint
Deploying a pre-trained model to a serverless inference endpoint
Deploying a pre-trained model to an asynchronous inference endpoint
Cleaning up
Deployment strategies and best practices
Summary
Further reading
Chapter 8: Model Monitoring and Management Solutions
Technical prerequisites
Registering models to SageMaker Model Registry
Deploying models from SageMaker Model Registry
Enabling data capture and simulating predictions
Scheduled monitoring with SageMaker Model Monitor
Analyzing the captured data
Deleting an endpoint with a monitoring schedule
Cleaning up
Summary
Further reading
Chapter 10: Machine Learning Pipelines with Kubeflow on Amazon EKS
Technical requirements
Diving deeper into Kubeflow, Kubernetes, and EKS
Preparing the essential prerequisites
Setting up Kubeflow on Amazon EKS
Running our first Kubeflow pipeline
Using the Kubeflow Pipelines SDK to build ML workflows
Cleaning up
Recommended strategies and best practices
Summary
Further reading
Chapter 11: Machine Learning Pipelines with SageMaker Pipelines
Technical requirements
Diving deeper into SageMaker Pipelines
Preparing the essential prerequisites
Running our first pipeline with SageMaker Pipelines
Creating Lambda functions for deployment
Testing our ML inference endpoint
Completing the end-to-end ML pipeline
Cleaning up
Recommended strategies and best practices
Summary
Further reading
Recommendations for you
Similar Content in Data
People who bought this also bought
Get free access to Packt library with over 7500+ books and video courses for 7 days!
FAQs
Shipping Details
USA:
'Economy: Delivery to most addresses in the US within 10-15 business days
Premium: Trackable Delivery to most addresses in the US within 3-8 business days
UK:
Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable
Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands
EU:
Premium: Trackable delivery to most EU destinations within 4-9 business days.
Australia:
Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.
Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.
India:
Premium: Delivery to most Indian addresses within 5-6 business days
Rest of the World:
Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days
Asia:
Premium: Delivery to most Asian addresses within 5-9 business days
Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.
Unfortunately, due to several restrictions, we are unable to ship to the following countries:
- Afghanistan
- American Samoa
- Belarus
- Brunei Darussalam
- Central African Republic
- The Democratic Republic of Congo
- Eritrea
- Guinea-bissau
- Iran
- Lebanon
- Libiya Arab Jamahriya
- Somalia
- Sudan
- Russian Federation
- Syrian Arab Republic
- Ukraine
- Venezuela
Customs duty are charges levied on goods when they cross international borders. It is a tax that is imposed on imported goods. These duties are charged by special authorities and bodies created by local governments and are meant to protect local industries, economies, and businesses.
The orders shipped to the countries that are listed under EU27 will not bear custom charges. They are paid by Packt as part of the order.
List of EU27 countries: www.gov.uk/eu-eea:
A custom duty or localized taxes may be applicable on the shipment and would be charged by the recipient country outside of the EU27 which should be paid by the customer and these duties are not included in the shipping charges been charged on the order.
The amount of duty payable varies greatly depending on the imported goods, the country of origin and several other factors like the total invoice amount or dimensions like weight, and other such criteria applicable in your country.
For example:
- If you live in Mexico, and the declared value of your ordered items is over $ 50, for you to receive a package, you will have to pay additional import tax of 19% which will be $ 9.50 to the courier service.
- Whereas if you live in Turkey, and the declared value of your ordered items is over € 22, for you to receive a package, you will have to pay additional import tax of 18% which will be € 3.96 to the courier service.
Cancellation Policy for Published Printed Books:
You can cancel any order within 1 hour of placing the order. Simply contact customercare@packt.com with your order details or payment transaction id. If your order has already started the shipment process, we will do our best to stop it. However, if it is already on the way to you then when you receive it, you can contact us at customercare@packt.com using the returns and refund process.
Please understand that Packt Publishing cannot provide refunds or cancel any order except for the cases described in our Return Policy (i.e. Packt Publishing agrees to replace your printed book because it arrives damaged or material defect in book), Packt Publishing will not accept returns.
Return Policy:
We want you to be happy with your purchase from Packtpub.com. We will not hassle you with returning print books to us. If the print book you receive from us is incorrect, damaged, doesn't work or is unacceptably late, please contact Customer Relations Team on customercare@packt.com with the order number and issue details as explained below:
- If you ordered (eBook, Video or Print Book) incorrectly or accidentally, please contact Customer Relations Team on customercare@packt.com within one hour of placing the order and we will replace/refund you the item cost.
- Sadly, if your eBook or Video file is faulty or a fault occurs during the eBook or Video being made available to you, i.e. during download then you should contact Customer Relations Team within 14 days of purchase on customercare@packt.com who will be able to resolve this issue for you.
- You will have a choice of replacement or refund of the problem items.(damaged, defective or incorrect)
- Once Customer Care Team confirms that you will be refunded, you should receive the refund within 10 to 12 working days.
- If you are only requesting a refund of one book from a multiple order, then we will refund you the appropriate single item.
- Where the items were shipped under a free shipping offer, there will be no shipping costs to refund.
On the off chance your printed book arrives damaged, with book material defect, contact our Customer Relation Team on customercare@packt.com within 14 days of receipt of the book with appropriate evidence of damage and we will work with you to secure a replacement copy, if necessary. Please note that each printed book you order from us is individually made by Packt's professional book-printing partner which is on a print-on-demand basis.
Currently, no tax is charged on the purchase of any print book (subject to change based on the laws and regulations). A localized VAT fee is charged only to our European and UK customers on eBooks, Video and subscriptions that they buy. GST is charged to Indian customers for eBooks and video purchases.
You can pay with the following card types:
- Visa Debit
- Visa Credit
- MasterCard
- PayPal
Shipping Details
USA:
'Economy: Delivery to most addresses in the US within 10-15 business days
Premium: Trackable Delivery to most addresses in the US within 3-8 business days
UK:
Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable
Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands
EU:
Premium: Trackable delivery to most EU destinations within 4-9 business days.
Australia:
Economy: Can deliver to P. O. Boxes and private residences.
Trackable service with delivery to addresses in Australia only.
Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
Delivery time is up to 15 business days for remote areas of WA, NT & QLD.
Premium: Delivery to addresses in Australia only
Trackable delivery to most P. O. Boxes and private residences in Australia within 4-5 days based on the distance to a destination following dispatch.
India:
Premium: Delivery to most Indian addresses within 5-6 business days
Rest of the World:
Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days
Asia:
Premium: Delivery to most Asian addresses within 5-9 business days
Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.
Unfortunately, due to several restrictions, we are unable to ship to the following countries:
- Afghanistan
- American Samoa
- Belarus
- Brunei Darussalam
- Central African Republic
- The Democratic Republic of Congo
- Eritrea
- Guinea-bissau
- Iran
- Lebanon
- Libiya Arab Jamahriya
- Somalia
- Sudan
- Russian Federation
- Syrian Arab Republic
- Ukraine
- Venezuela
