FAQs

What is included in a Packt subscription?

A subscription provides you with full access to view all Packt and licnesed content online, this includes exclusive access to Early Access titles. Depending on the tier chosen you can also earn credits and discounts to use for owning content

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To cancel your subscription with us simply go to the account page - found in the top right of the page or at https://subscription.packtpub.com/my-account/subscription - From here you will see the ‘cancel subscription’ button in the grey box with your subscription information in.

What are credits?

Credits can be earned from reading 40 section of any title within the payment cycle - a month starting from the day of subscription payment. You also earn a Credit every month if you subscribe to our annual or 18 month plans. Credits can be used to buy books DRM free, the same way that you would pay for a book. Your credits can be found in the subscription homepage - subscription.packtpub.com - clicking on ‘the my’ library dropdown and selecting ‘credits’.

What happens if an Early Access Course is cancelled?

Projects are rarely cancelled, but sometimes it's unavoidable. If an Early Access course is cancelled or excessively delayed, you can exchange your purchase for another course. For further details, please contact us here.

Where can I send feedback about an Early Access title?

If you have any feedback about the product you're reading, or Early Access in general, then please fill out a contact form here and we'll make sure the feedback gets to the right team.

Can I download the code files for Early Access titles?

We try to ensure that all books in Early Access have code available to use, download, and fork on GitHub. This helps us be more agile in the development of the book, and helps keep the often changing code base of new versions and new technologies as up to date as possible. Unfortunately, however, there will be rare cases when it is not possible for us to have downloadable code samples available until publication.

When we publish the book, the code files will also be available to download from the Packt website.

How accurate is the publication date?

The publication date is as accurate as we can be at any point in the project. Unfortunately, delays can happen. Often those delays are out of our control, such as changes to the technology code base or delays in the tech release. We do our best to give you an accurate estimate of the publication date at any given time, and as more chapters are delivered, the more accurate the delivery date will become.

How will I know when new chapters are ready?

We'll let you know every time there has been an update to a course that you've bought in Early Access. You'll get an email to let you know there has been a new chapter, or a change to a previous chapter. The new chapters are automatically added to your account, so you can also check back there any time you're ready and download or read them online.

I am a Packt subscriber, do I get Early Access?

Yes, all Early Access content is fully available through your subscription. You will need to have a paid for or active trial subscription in order to access all titles.

How is Early Access delivered?

Early Access is currently only available as a PDF or through our online reader. As we make changes or add new chapters, the files in your Packt account will be updated so you can download them again or view them online immediately.

How do I buy Early Access content?

Early Access is a way of us getting our content to you quicker, but the method of buying the Early Access course is still the same. Just find the course you want to buy, go through the check-out steps, and you’ll get a confirmation email from us with information and a link to the relevant Early Access courses.

What is Early Access?

Keeping up to date with the latest technology is difficult; new versions, new frameworks, new techniques. This feature gives you a head-start to our content, as it's being created. With Early Access you'll receive each chapter as it's written, and get regular updates throughout the product's development, as well as the final course as soon as it's ready.We created Early Access as a means of giving you the information you need, as soon as it's available. As we go through the process of developing a course, 99% of it can be ready but we can't publish until that last 1% falls in to place. Early Access helps to unlock the potential of our content early, to help you start your learning when you need it most. You not only get access to every chapter as it's delivered, edited, and updated, but you'll also get the finalized, DRM-free product to download in any format you want when it's published. As a member of Packt, you'll also be eligible for our exclusive offers, including a free course every day, and discounts on new and popular titles.

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Amazon verified reviews

R. Bond Aug 04, 2024

This well-written book caters to technically inclined readers. It covers Generative AI fundamentals and deep dives into Amazon Bedrock, offering practical insights through real-world use cases and code examples. AI technologists will find it a valuable reference.

Amazon Verified review

Devmallya Karar Aug 25, 2024

"Generative AI with Amazon Bedrock" is an outstanding resource for anyone looking to dive into the world of generative AI using Amazon's powerful Bedrock service. The book is well-structured, making complex topics accessible even for those who are new to the field. It covers everything from building and scaling AI applications to securing them effectively, offering practical examples and clear explanations. The authors do a great job of balancing theory with hands-on exercises, which makes the content both engaging and useful. If you're looking to enhance your AI skills or explore the capabilities of Amazon Bedrock, this book is a valuable addition to your library. Highly recommended for developers, data scientists, and tech leaders alike!

Michael Prince Aug 24, 2024

Great level of detail into the GenAi landscape and powers of Bedrock.

Paul Pollock Oct 23, 2024

If you're looking to dive into the world of generative AI without getting bogged down by infrastructure details, this book is a gem. Kwatra and Kaushik make it easy to understand how Amazon Bedrock works, covering everything from choosing the right models to real-world applications like RAG (Retrieval Augmented Generation) and intelligent agents. I particularly enjoyed the clear explanations and hands-on examples that help you get up and running quickly. It’s ideal for developers, data scientists, and AI enthusiasts eager to leverage Amazon’s powerful AI tools. Definitely worth the read if you’re ready to take your AI projects to the next level!

S.Kundu Oct 01, 2024

The book "𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐞𝐝𝐫𝐨𝐜𝐤" will help you to gain a strong understanding of building and scaling generative AI applications with Amazon Bedrock, along with key architectural patterns and security best practices to help solve business challenges and drive innovation within your organization.Few highlights of the book are as below:The first section introduces Amazon Bedrock by exploring the Generative AI landscape and foundation models available on the platform. It offers guidelines for selecting the right model for various use cases and discusses additional generative AI capabilities.It then highlights various methods for accessing and utilizing Bedrock, including APIs, code snippets and integration with LangChain. It introduces PartyRock, Bedrock’s playground for building customized pipelines and chaining multiple models.The next part explores prompt engineering, offering techniques and best practices for crafting prompts to optimize the use of generative AI models. It equips readers with a solid understanding of how to create prompts that elicit desired outcomes.Additionally, the book provides a detailed guide on customizing foundation models for enhanced performance in domain-specific use cases. It covers data preparation, creating custom models and analyzing results, offering insights into best practices for successful model customization.Then the book dives into the Retrieval Augmented Generation (RAG) approach, explaining how external data sources can be integrated with language models to reduce hallucination. It covers the use of RAG with Amazon Bedrock and discusses alternative methods such as LangChain.Following this, the book explores text generation and summarization using Bedrock’s capabilities, with a focus on real-world use cases. Additionally, it addresses how to build question-answering systems and conversational interfaces, emphasizing prompt engineering techniques, conversation memory, embeddings and contextual awareness for creating intelligent and engaging chatbots.The next part delves into advanced applications of Amazon Bedrock, including entity extraction and code generation, providing practical strategies for implementation. It also covers image generation using Bedrock’s multimodal models and explores real-world applications, design patterns for multimodal systems and ethical safeguards.Finally, the book provides comprehensive coverage of evaluating and monitoring models using AWS tools, alongside a deep dive into the security and privacy measures in place, such as data encryption, access control and content filtering, ensuring responsible AI practices.

Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon Bedrock

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