Enterprise Generative Ai Well Architected Framework Patterns

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Enterprise GENERATIVE AI Well-Architected Framework & Patterns

Author : Suvoraj Biswas
Publisher : Packt Publishing Ltd
Page : 114 pages
File Size : 54,6 Mb
Release : 2024-04-04
Category : Computers
ISBN : 9781836202905

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Enterprise GENERATIVE AI Well-Architected Framework & Patterns by Suvoraj Biswas Pdf

Elevate your AI projects with our course on Enterprise Generative AI using AWS's Well-Architected Framework, paving the way for innovation and efficiency Key Features Learn to secure AI environments Achieve excellence in AI architecture Implement AI with AWS solutions Book DescriptionThe course begins with an insightful introduction to the burgeoning field of Generative AI, laying down a robust framework for understanding its applications within the AWS ecosystem. The course focuses on meticulously detailing the five pillars of the AWS Well-Architected Framework—Operational Excellence, Security, Compliance, Reliability, and Cost Optimization. Each module is crafted to provide you with a comprehensive understanding of these essential areas, integrating Generative AI technologies. You'll learn how to navigate the complexities of securing AI systems, ensuring they comply with legal and regulatory standards, and designing them for unparalleled reliability. Practical sessions on cost optimization strategies for AI projects will empower you to deliver value without compromising on performance or scalability. Furthermore, the course delves into System Architecture Excellence, emphasizing the importance of robust design principles in creating effective Generative AI solutions. The course wraps up by offering a forward-looking perspective on the Common Architectural Pattern for FM/LLM Integration & Adoption within the AWS framework. You'll gain hands-on experience with AWS solutions specifically tailored for Generative AI applications, including Lambda, API Gateway, and DynamoDB, among others.What you will learn Apply Operational Excellence in AI Secure Generative AI implementations Navigate compliance in AI solutions Ensure reliability in AI systems Optimize costs for AI projects Integrate FM/LLM with AWS solutions Who this book is for This course is designed for IT professionals, solutions architects, and DevOps engineers looking to specialize in Generative AI. A foundational understanding of AWS and cloud computing is beneficial.

Leveraging Generative AI for Enterprise Architecture

Author : Anand Vemula
Publisher : Anand Vemula
Page : 52 pages
File Size : 40,6 Mb
Release : 2023-08-03
Category : Computers
ISBN : 8210379456XXX

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Leveraging Generative AI for Enterprise Architecture by Anand Vemula Pdf

When it comes to understanding the potential of generative AI in the field of enterprise architecture, the possibilities are truly limitless. In this subchapter, we will explore how this technology can be leveraged to transform the way organizations approach their architectural design and decision-making processes. Generative AI, a subset of artificial intelligence, has the capability to generate novel ideas, designs, and solutions based on a given set of parameters and objectives. This can revolutionize the way organizations approach enterprise architecture, as it offers the ability to automate and optimize various aspects of the architectural process. In this subchapter, we will delve into the key concepts and principles of generative AI and its relevance to enterprise architecture. We will explore how this technology can be utilized to streamline the design and decision-making process, reduce time and resources, and ultimately enhance the overall effectiveness of an organization's architectural endeavors. Furthermore, we will discuss the various applications and use cases of generative AI in enterprise architecture. From creating intelligent blueprints to generating optimized architectural designs, this technology can assist architects and organizations in making informed decisions and developing innovative solutions. To fully grasp the potential of generative AI in enterprise architecture, it is crucial to understand the challenges and considerations associated with its implementation. We will address the potential limitations and risks of relying solely on generative AI, while also highlighting the importance of human expertise and collaboration in conjunction with this technology. Lastly, in this subchapter, we will provide practical guidance on how organizations can begin incorporating generative AI into their architectural processes. We will outline the steps and best practices required to successfully implement generative AI solutions, while also emphasizing the need for continuous learning and adaptation.

Generative AI Frameworks

Author : Anand Vemula
Publisher : Anand Vemula
Page : 30 pages
File Size : 49,5 Mb
Release : 2024-06-10
Category : Computers
ISBN : 8210379456XXX

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Generative AI Frameworks by Anand Vemula Pdf

Do you dream of machines that can create art, translate languages flawlessly, and answer your questions in an informative way? Generative AI (GenAI) is making this dream a reality. This book is your guide to the fascinating world of GenAI frameworks, the engines that power this creative revolution. We'll begin by delving into the core concepts of GenAI and explore its applications across various fields. You'll understand how large language models (LLMs) – the backbone of GenAI – are trained and how they work. We'll then embark on a deep dive into three pioneering frameworks: GPT: Explore the innovative GPT family, known for its ability to generate realistic and coherent text formats, translating languages and even creating different kinds of creative content. Gemini (assuming it refers to a factual language model): Discover the potential of factual language models like Gemini, which excel at information retrieval and provide informative responses to your factual queries. LaMDA (if publicly available information exists): Learn about LaMDA (Language Model for Dialogue Applications) and its potential for fostering natural and informative conversations with machines. As you progress, you'll encounter real-world case studies and use cases that illustrate the transformative power of GenAI. Imagine writers overcoming writer's block, scientists accelerating research breakthroughs, and language barriers crumbling – these are just a few possibilities. The journey doesn't stop there. We'll explore the evolving landscape of GenAI frameworks, where new advancements are constantly emerging. You'll get a glimpse of exciting trends like Pathway Language Models (PLMs) with the potential for enhanced efficiency and performance. But with great power comes great responsibility. The book concludes by discussing the ethical considerations surrounding GenAI, emphasizing the importance of responsible development and utilization. This book is for anyone who wants to: Understand the fundamental concepts of Generative AI and its potential to transform our world. Explore how groundbreaking frameworks like GPT, Gemini (factual language model), and LaMDA (if applicable) are shaping the future of AI. Discover the real-world applications of GenAI across various industries. Gain insights into the ethical considerations surrounding GenAI development. Get ready to embark on a captivating exploration of Generative AI frameworks and unlock the potential of this revolutionary technology!

Clean Architecture

Author : Robert C. Martin
Publisher : Prentice Hall
Page : 651 pages
File Size : 50,8 Mb
Release : 2017-09-12
Category : Computers
ISBN : 9780134494326

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Clean Architecture by Robert C. Martin Pdf

Practical Software Architecture Solutions from the Legendary Robert C. Martin (“Uncle Bob”) By applying universal rules of software architecture, you can dramatically improve developer productivity throughout the life of any software system. Now, building upon the success of his best-selling books Clean Code and The Clean Coder, legendary software craftsman Robert C. Martin (“Uncle Bob”) reveals those rules and helps you apply them. Martin’s Clean Architecture doesn’t merely present options. Drawing on over a half-century of experience in software environments of every imaginable type, Martin tells you what choices to make and why they are critical to your success. As you’ve come to expect from Uncle Bob, this book is packed with direct, no-nonsense solutions for the real challenges you’ll face–the ones that will make or break your projects. Learn what software architects need to achieve–and core disciplines and practices for achieving it Master essential software design principles for addressing function, component separation, and data management See how programming paradigms impose discipline by restricting what developers can do Understand what’s critically important and what’s merely a “detail” Implement optimal, high-level structures for web, database, thick-client, console, and embedded applications Define appropriate boundaries and layers, and organize components and services See why designs and architectures go wrong, and how to prevent (or fix) these failures Clean Architecture is essential reading for every current or aspiring software architect, systems analyst, system designer, and software manager–and for every programmer who must execute someone else’s designs. Register your product for convenient access to downloads, updates, and/or corrections as they become available.

Patterns of Enterprise Application Architecture

Author : Martin Fowler
Publisher : Addison-Wesley
Page : 558 pages
File Size : 41,9 Mb
Release : 2012-03-09
Category : Computers
ISBN : 9780133065213

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Patterns of Enterprise Application Architecture by Martin Fowler Pdf

The practice of enterprise application development has benefited from the emergence of many new enabling technologies. Multi-tiered object-oriented platforms, such as Java and .NET, have become commonplace. These new tools and technologies are capable of building powerful applications, but they are not easily implemented. Common failures in enterprise applications often occur because their developers do not understand the architectural lessons that experienced object developers have learned. Patterns of Enterprise Application Architecture is written in direct response to the stiff challenges that face enterprise application developers. The author, noted object-oriented designer Martin Fowler, noticed that despite changes in technology--from Smalltalk to CORBA to Java to .NET--the same basic design ideas can be adapted and applied to solve common problems. With the help of an expert group of contributors, Martin distills over forty recurring solutions into patterns. The result is an indispensable handbook of solutions that are applicable to any enterprise application platform. This book is actually two books in one. The first section is a short tutorial on developing enterprise applications, which you can read from start to finish to understand the scope of the book's lessons. The next section, the bulk of the book, is a detailed reference to the patterns themselves. Each pattern provides usage and implementation information, as well as detailed code examples in Java or C#. The entire book is also richly illustrated with UML diagrams to further explain the concepts. Armed with this book, you will have the knowledge necessary to make important architectural decisions about building an enterprise application and the proven patterns for use when building them. The topics covered include · Dividing an enterprise application into layers · The major approaches to organizing business logic · An in-depth treatment of mapping between objects and relational databases · Using Model-View-Controller to organize a Web presentation · Handling concurrency for data that spans multiple transactions · Designing distributed object interfaces

Solutions Architect's Handbook

Author : Saurabh Shrivastava,Neelanjali Srivastav
Publisher : Packt Publishing Ltd
Page : 579 pages
File Size : 44,9 Mb
Release : 2024-03-29
Category : Computers
ISBN : 9781835084366

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Solutions Architect's Handbook by Saurabh Shrivastava,Neelanjali Srivastav Pdf

From fundamentals and design patterns to the latest techniques such as generative AI, machine learning and cloud native architecture, gain all you need to be a pro Solutions Architect crafting secure and reliable AWS architecture. Key Features Hits all the key areas -Rajesh Sheth, VP, Elastic Block Store, AWS Offers the knowledge you need to succeed in the evolving landscape of tech architecture - Luis Lopez Soria, Senior Specialist Solutions Architect, Google A valuable resource for enterprise strategists looking to build resilient applications - Cher Simon, Principal Solutions Architect, AWS Book DescriptionMaster the art of solution architecture and excel as a Solutions Architect with the Solutions Architect's Handbook. Authored by seasoned AWS technology leaders Saurabh Shrivastav and Neelanjali Srivastav, this book goes beyond traditional certification guides, offering in-depth insights and advanced techniques to meet the specific needs and challenges of solutions architects today. This edition introduces exciting new features that keep you at the forefront of this evolving field. Large language models, generative AI, and innovations in deep learning are cutting-edge advancements shaping the future of technology. Topics such as cloud-native architecture, data engineering architecture, cloud optimization, mainframe modernization, and building cost-efficient and secure architectures remain important in today's landscape. This book provides coverage of these emerging and key technologies and walks you through solution architecture design from key principles, providing you with the knowledge you need to succeed as a Solutions Architect. It will also level up your soft skills, providing career-accelerating techniques to help you get ahead. Unlock the potential of cutting-edge technologies, gain practical insights from real-world scenarios, and enhance your solution architecture skills with the Solutions Architect's Handbook.What you will learn Explore various roles of a solutions architect in the enterprise Apply design principles for high-performance, cost-effective solutions Choose the best strategies to secure your architectures and boost availability Develop a DevOps and CloudOps mindset for collaboration, operational efficiency, and streamlined production Apply machine learning, data engineering, LLMs, and generative AI for improved security and performance Modernize legacy systems into cloud-native architectures with proven real-world strategies Master key solutions architect soft skills Who this book is for This book is for software developers, system engineers, DevOps engineers, architects, and team leaders who already work in the IT industry and aspire to become solutions architect professionals. Solutions architects who want to expand their skillset or get a better understanding of new technologies will also learn valuable new skills. To get started, you'll need a good understanding of the real-world software development process and some awareness of cloud technology.

The Machine Learning Solutions Architect Handbook

Author : David Ping
Publisher : Packt Publishing Ltd
Page : 603 pages
File Size : 53,5 Mb
Release : 2024-04-15
Category : Computers
ISBN : 9781805124825

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The Machine Learning Solutions Architect Handbook by David Ping Pdf

Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.

Designing Distributed Systems

Author : Brendan Burns
Publisher : "O'Reilly Media, Inc."
Page : 164 pages
File Size : 54,7 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781491983614

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Designing Distributed Systems by Brendan Burns Pdf

Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows

Analysis Patterns

Author : Martin Fowler
Publisher : Addison-Wesley Professional
Page : 398 pages
File Size : 40,6 Mb
Release : 1997
Category : Object-oriented methods (Computer science).
ISBN : 0201895420

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Analysis Patterns by Martin Fowler Pdf

Martin Fowler is a consultant specializing in object-oriented analysis and design. This book presents and discusses a number of object models derived from various problem domains. All patterns and models presented have been derived from the author's own consulting work and are based on real business cases.

Enterprise Artificial Intelligence Transformation

Author : Rashed Haq
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 49,7 Mb
Release : 2020-06-23
Category : Business & Economics
ISBN : 9781119665939

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Enterprise Artificial Intelligence Transformation by Rashed Haq Pdf

Enterprise Artificial Intelligence Transformation AI is everywhere. From doctor's offices to cars and even refrigerators, AI technology is quickly infiltrating our daily lives. AI has the ability to transform simple tasks into technological feats at a human level. This will change the world, plain and simple. That's why AI mastery is such a sought-after skill for tech professionals. Author Rashed Haq is a subject matter expert on AI, having developed AI and data science strategies, platforms, and applications for Publicis Sapient's clients for over 10 years. He shares that expertise in the new book, Enterprise Artificial Intelligence Transformation. The first of its kind, this book grants technology leaders the insight to create and scale their AI capabilities and bring their companies into the new generation of technology. As AI continues to grow into a necessary feature for many businesses, more and more leaders are interested in harnessing the technology within their own organizations. In this new book, leaders will learn to master AI fundamentals, grow their career opportunities, and gain confidence in machine learning. Enterprise Artificial Intelligence Transformation covers a wide range of topics, including: Real-world AI use cases and examples Machine learning, deep learning, and slimantic modeling Risk management of AI models AI strategies for development and expansion AI Center of Excellence creating and management If you're an industry, business, or technology professional that wants to attain the skills needed to grow your machine learning capabilities and effectively scale the work you're already doing, you'll find what you need in Enterprise Artificial Intelligence Transformation.

Designing Autonomous AI

Author : Kence Anderson
Publisher : "O'Reilly Media, Inc."
Page : 253 pages
File Size : 43,9 Mb
Release : 2022-06-14
Category : Computers
ISBN : 9781098110703

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Designing Autonomous AI by Kence Anderson Pdf

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs

The TOGAF ® Standard, Version 9.2

Author : The Open Group
Publisher : Van Haren
Page : 542 pages
File Size : 46,7 Mb
Release : 2018
Category : Education
ISBN : 9789401802840

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The TOGAF ® Standard, Version 9.2 by The Open Group Pdf

The TOGAF® Standard, a standard of The Open Group, is a proven Enterprise Architecture methodology and framework used by the world’s leading organizations to improve business efficiency. It is the most prominent and reliable Enterprise Architecture standard, ensuring consistent standards, methods, and communication among Enterprise Architecture professionals. Those professionals fluent in the TOGAF approach enjoy greater industry credibility, job effectiveness, and career opportunities. The TOGAF approach helps practitioners avoid being locked into proprietary methods, utilize resources more efficiently and effectively, and realize a greater return on investment.

Cloud Native Patterns

Author : Cornelia Davis
Publisher : Simon and Schuster
Page : 573 pages
File Size : 48,5 Mb
Release : 2019-05-12
Category : Computers
ISBN : 9781638356851

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Cloud Native Patterns by Cornelia Davis Pdf

Summary Cloud Native Patternsis your guide to developing strong applications that thrive in the dynamic, distributed, virtual world of the cloud. This book presents a mental model for cloud-native applications, along with the patterns, practices, and tooling that set them apart. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Cloud platforms promise the holy grail: near-zero downtime, infinite scalability, short feedback cycles, fault-tolerance, and cost control. But how do you get there? By applying cloudnative designs, developers can build resilient, easily adaptable, web-scale distributed applications that handle massive user traffic and data loads. Learn these fundamental patterns and practices, and you'll be ready to thrive in the dynamic, distributed, virtual world of the cloud. About the Book With 25 years of experience under her belt, Cornelia Davis teaches you the practices and patterns that set cloud-native applications apart. With realistic examples and expert advice for working with apps, data, services, routing, and more, she shows you how to design and build software that functions beautifully on modern cloud platforms. As you read, you will start to appreciate that cloud-native computing is more about the how and why rather than the where. What's inside The lifecycle of cloud-native apps Cloud-scale configuration management Zero downtime upgrades, versioned services, and parallel deploys Service discovery and dynamic routing Managing interactions between services, including retries and circuit breakers About the Reader Requires basic software design skills and an ability to read Java or a similar language. About the Author Cornelia Davis is Vice President of Technology at Pivotal Software. A teacher at heart, she's spent the last 25 years making good software and great software developers. Table of Contents PART 1 - THE CLOUD-NATIVE CONTEXT You keep using that word: Defining "cloud-native" Running cloud-native applications in production The platform for cloud-native software PART 2 - CLOUD-NATIVE PATTERNS Event-driven microservices: It's not just request/response App redundancy: Scale-out and statelessness Application configuration: Not just environment variables The application lifecycle: Accounting for constant change Accessing apps: Services, routing, and service discovery Interaction redundancy: Retries and other control loops Fronting services: Circuit breakers and API gateways Troubleshooting: Finding the needle in the haystack Cloud-native data: Breaking the data monolith

NET Application Architecture Guide

Author : Anonim
Publisher : Unknown
Page : 0 pages
File Size : 51,7 Mb
Release : 2009
Category : Application software
ISBN : 073562710X

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NET Application Architecture Guide by Anonim Pdf

"The guide is intended to serve as a practical and convenient overview of, and reference to, the general principles of architecture and design on the Microsoft platform and the .NET Framework".

Building Evolutionary Architectures

Author : Neal Ford,Rebecca Parsons,Patrick Kua
Publisher : "O'Reilly Media, Inc."
Page : 217 pages
File Size : 40,5 Mb
Release : 2017-09-18
Category : Computers
ISBN : 9781491986325

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Building Evolutionary Architectures by Neal Ford,Rebecca Parsons,Patrick Kua Pdf

The software development ecosystem is constantly changing, providing a constant stream of new tools, frameworks, techniques, and paradigms. Over the past few years, incremental developments in core engineering practices for software development have created the foundations for rethinking how architecture changes over time, along with ways to protect important architectural characteristics as it evolves. This practical guide ties those parts together with a new way to think about architecture and time.