Google Machine Learning and Generative AI for Solutions Architects: Build efficient and scalable AI/ML solutions on Google Cloud
Language: English
Published by Packt Publishing Limited, 2024
- Softcover
- New
Seller: THE SAINT BOOKSTORE, Southport, United KingdomTHE SAINT BOOKSTORE
AbeBooks seller since June 14, 2006
Condition: New
£ 50.63
Quantity: Over 20 available
Add to basketItem description from seller
This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Seller Inventory # C9781803245270
- Title
- Google Machine Learning and Generative AI for Solutions Architects: Build efficient and scalable AI/ML solutions on Google Cloud
- Author
- Kieran Kavanagh, O.C.D.
- Publisher
- Packt Publishing Limited
- Publication year
- 2024
- Condition
- New
- Binding
- Paperback / softback
- Language
- English
- ISBN 10
- 1803245271
- ISBN 13
- 9781803245270
- Item weight
- 526 grams
Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively
Key Features
- Understand key concepts, from fundamentals through to complex topics, via a methodical approach
- Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud
- Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Most companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies.
You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process.
By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.
What you will learn
- Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark
- Source, understand, and prepare data for ML workloads
- Build, train, and deploy ML models on Google Cloud
- Create an effective MLOps strategy and implement MLOps workloads on Google Cloud
- Discover common challenges in typical AI/ML projects and get solutions from experts
- Explore vector databases and their importance in Generative AI applications
- Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows
Who this book is for
This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.
Table of Contents
- AI/ML Concepts, Real-World Applications, and Challenges
- Understanding the ML Model Development Lifecycle
- AI/ML Tooling and the Google Cloud AI/ML Landscape
- Utilizing Google Cloud's High-Level AI Services
- Building Custom ML Models on Google Cloud
- Diving Deeper—Preparing and Processing Data for AI/ML Workloads on Google Cloud
- Feature Engineering and Dimensionality Reduction
- Hyperparameters and Optimization
- Neural Networks and Deep Learning
- Deploying, Monitoring, and Scaling in Production
(N.B. Please use the Read Sample option to see further chapters)
"Synopsis" may belong to another edition of this title.
About the Author
Kieran Kavanagh is a Principal Architect at Google. He works with large enterprises to guide them on architecting solutions to meet their business needs on Google Cloud. Having spent over a decade and a half working as a Solutions Architect at some of the world's largest technology companies, such as Amazon, AT&T, Ericsson, and Google, he has amassed a wealth of knowledge in architecting extremely large-scale and highly complex technology solutions. He has presented on these topics at more than 100 technology conferences all over the world. Prior to joining Google, he was a Principal AI/ML Solutions Architect in Strategic Accounts at AWS, working with AWS' largest customers to design and build cutting-edge and global-scale AI/ML solutions. He has a passion for AI/ML, and for teaching and helping others to grow their careers in this industry. Originally from Cork, Ireland, Kieran has lived and worked in many countries around the world, and he now resides in Atlanta, GA.
"About the title" may belong to another edition of this title.
THE SAINT BOOKSTORE
Southport, United Kingdom
AbeBooks seller since June 14, 2006
Shipping rates from United Kingdom to U.S.A.
| Item | 7 to 28 business days | 7 to 28 business days |
|---|---|---|
| First item | £ 16.01 | £ 18.01 |
Payment methods
Store description
The Saint Bookstore has a range of over 1 million titles available.
Specialty
GeneralSeller's business information
SB ONLINE LTD
50 Devonshire Road
Southport, United Kingdom PR9 7BZ
Terms of sale
Please order through the Abebooks checkout. We only take orders through Abebooks - We don't take direct orders by email or phone.
Refunds or Returns: A full refund of the purchase price will be given if returned within 30 days in undamaged condition.
As a seller on abebooks we adhere to the terms explained at http://www.abebooks.co.uk/docs/HelpCentral/buyerIndex.shtml - if you require further assistance please email us at orders@thesaintbookstore.co.uk
Right of withdrawal
If you are a consumer you can withdraw from the contract in accordance with the following. Consumer means any natural person who is acting for purposes which are outside his trade, business, craft or profession.
Information regarding the right of withdrawal
Statutory right to withdraw
You have the right to withdraw from this contract within 14 days without giving any reason.
The withdrawal period will expire after 14 days from the day on which you acquire, or a third party other than the carrier and indicated by you acquires, physical possession of the last good or the last lot or piece.
To exercise the right of withdrawal, electronically fill in and submit a clear statement on our website, under "My Purchases" in "My Account". We will communicate to you an acknowledgement of receipt of such a withdrawal on a durable medium (e.g. by e-mail) without delay.
To meet the withdrawal deadline, it is sufficient for you to send your communication concerning your exercise of the right of withdrawal before the withdrawal period has expired.
Effects of withdrawal
If you withdraw from this contract, we will reimburse to you all payments received from you, including the costs of delivery (except for the supplementary costs arising if you chose a type of delivery other than the least expensive type of standard delivery offered by us).
We may make a deduction from the reimbursement for loss in value of any goods supplied, if the loss is the result of unnecessary handling by you.
We will make the reimbursement without undue delay, and not later than 14 days after the day on which we are informed about your decision to withdraw from this contract.
We will make the reimbursement using the same means of payment as you used for the initial transaction, unless you have expressly agreed otherwise; in any event, you will not incur any fees as a result of such reimbursement.
We may withhold reimbursement until we have received the goods back, or you have supplied evidence of having sent back the goods, whichever is the earliest.
You shall send back the goods or hand them over to THE SAINT BOOKSTORE, Southport, United Kingdom, without undue delay and in any event not later than 14 days from the day on which you communicate your withdrawal from this contract to us. The deadline is met if you send back the goods before the period of 14 days has expired. You will have to bear the direct cost of returning the goods. You are only liable for any diminished value of the goods resulting from the handling other than what is necessary to establish the nature, characteristics and functioning of the goods.
Exceptions to the right of withdrawal
The right of withdrawal does not apply to:
- The delivery of newspapers, journals or magazines with the exception of subscription contracts; and
- The supply of digital content which is not supplied on a tangible medium (e.g. on a CD or DVD) if you accepted when you placed your order that we could start to deliver it, and that you could not withdraw once delivery had started.
Shipping terms
Most orders usually ship within 1-3 business days, but some can take up to 7 days.