How to Develop a QA Strategy with Generative AI PDF Download

Author: Bosun Sogeke
Publisher: Bosun Sogeke
ISBN: 1068770619
Category : Business & Economics
Languages : en
Pages : 71

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Book Description
In the rapidly evolving landscape of software development, Quality Assurance (QA) plays a pivotal role in ensuring the reliability and performance of applications. "How to Develop a QA Strategy with Generative AI" provides a comprehensive guide to leveraging cutting-edge Generative AI technologies to enhance your QA processes. This ebook delves into the practical steps required to integrate AI into your existing QA workflows, from selecting the right tools to implementing automated testing and predictive analytics. Through detailed case studies, real-world examples, and step-by-step instructions, you’ll learn how to automate repetitive tasks, improve test accuracy, and significantly reduce testing cycles. Whether you’re a QA manager, software engineer, or tech enthusiast, this guide offers valuable insights into the future of QA. Discover how AI-driven tools can transform your approach to software quality, leading to better products and satisfied customers.

Author: Mark Winteringham
Publisher: Manning
ISBN: 9781633437364
Category : Computers
Languages : en
Pages : 0

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Book Description
Speed up your testing and deliver exceptional code quality with the power of AI tools. The more you test, the more you learn about your software. AI-Assisted Testing shows you how you can expand, automate, and enhance your testing with Large Language Model (LLM)-based AI. Your team will soon be delivering higher quality tests, all in less time. Inside AI-Assisted Testing you’ll learn how to: Spot opportunities to improve test quality with AI Construct test automation with the support of AI tools Formulate new ideas during exploratory testing using AI tools Use AI tools to aid the design process of new features Improve the testability of a context with the help of AI tools Maximize your output with prompt engineering Create custom LLMs for your business’s specific needs AI-Assisted Testing is full of hype-free advice for supporting your software testing with AI. Inside, you’ll find strategies from bestselling author Mark Winteringham to generate synthetic testing data, implement automation, and even augment and improve your test design with AI. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book In AI-Assisted Testing, you’ll explore almost every aspect of testing—automation, test data management, test scripting, exploratory testing, and more—and learn how AI can assist and enhance each one. Each example is rooted in the kind of testing problems you’ll encounter every day. See how you can use GitHub CoPilot to guide your test-driven development, get meaningful code feedback from ChatGPT, and use the OpenAI API to integrate AI into your data generation. You’ll master best practices for prompt engineering and even learn how to enhance an open source LLM for your team’s precise requirements. Soon, you’ll have the best of both worlds—higher quality testing that takes up less of your time! About the reader For developers, testers, and QA specialists who are confident in testing. About the author Mark Winteringham is an experienced software tester who teaches many aspects of software testing.

Author: Saurabh Shrivastava
Publisher: Packt Publishing Ltd
ISBN: 1835084362
Category : Computers
Languages : en
Pages : 579

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Book Description
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.

Author: Phani Durga Nanda Kishore Kommisetty
Publisher: JEC PUBLICATION
ISBN: 9361751751
Category : Business & Economics
Languages : en
Pages : 162

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Book Description
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Author: Ben Auffarth
Publisher: Packt Publishing Ltd
ISBN: 1835088368
Category : Computers
Languages : en
Pages : 369

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Book Description
2024 Edition – Get to grips with the LangChain framework to develop production-ready applications, including agents and personal assistants. The 2024 edition features updated code examples and an improved GitHub repository. Purchase of the print or Kindle book includes a free PDF eBook. Key Features Learn how to leverage LangChain to work around LLMs’ inherent weaknesses Delve into LLMs with LangChain and explore their fundamentals, ethical dimensions, and application challenges Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality Book DescriptionChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LLMs underlying chat systems, including ChatGPT and Gemini. It demonstrates, in a series of practical examples, how to use the LangChain framework to build production-ready and responsive LLM applications for tasks ranging from customer support to software development assistance and data analysis – illustrating the expansive utility of LLMs in real-world applications. Unlock the full potential of LLMs within your projects as you navigate through guidance on fine-tuning, prompt engineering, and best practices for deployment and monitoring in production environments. Whether you're building creative writing tools, developing sophisticated chatbots, or crafting cutting-edge software development aids, this book will be your roadmap to mastering the transformative power of generative AI with confidence and creativity.What you will learn Create LLM apps with LangChain, like question-answering systems and chatbots Understand transformer models and attention mechanisms Automate data analysis and visualization using pandas and Python Grasp prompt engineering to improve performance Fine-tune LLMs and get to know the tools to unleash their power Deploy LLMs as a service with LangChain and apply evaluation strategies Privately interact with documents using open-source LLMs to prevent data leaks Who this book is for The book is for developers, researchers, and anyone interested in learning more about LangChain. Whether you are a beginner or an experienced developer, this book will serve as a valuable resource if you want to get the most out of LLMs using LangChain. Basic knowledge of Python is a prerequisite, while prior exposure to machine learning will help you follow along more easily.

Author: David Ping
Publisher: Packt Publishing Ltd
ISBN: 180512482X
Category : Computers
Languages : en
Pages : 603

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Book Description
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.

Author: Rohit Khankhoje
Publisher:
ISBN: 9789999315623
Category : Technology & Engineering
Languages : en
Pages : 0

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Book Description
In "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age," readers are invited on a compelling journey through the evolving landscape of software development, where the integration of quality assurance (QA) and artificial intelligence (AI) stands at the forefront of innovation. This insightful guide explores the critical role of QA in ensuring software reliability, performance, and security, while embracing AI as a transformative tool for automating testing, enhancing decision-making, and predicting future trends. As digital technologies advance at an unprecedented pace, the need for robust, adaptable software has never been more acute. This book offers a blueprint for developers, QA professionals, and IT managers to navigate this complex terrain. Through real-world examples, case studies, and practical strategies, it illuminates the path to creating resilient, future-proof software solutions that can stand the test of time in a rapidly changing digital ecosystem. With a focus on fostering a culture of continuous improvement and innovation, "Future-Proofing Software" delves into the methodologies, tools, and frameworks that facilitate the seamless integration of QA and AI. From harnessing machine learning for smarter testing processes to adopting agile practices for dynamic development environments, this book equips readers with the knowledge to lead their software projects towards success in the digital age. Whether you're looking to enhance your current QA processes, explore the potential of AI in software development, or stay ahead of industry trends, "Future-Proofing Software: Navigating Quality Assurance and AI in the Digital Age" offers a comprehensive and forward-thinking approach to mastering the challenges and opportunities of modern software development.

Author: Ken Huang
Publisher: Springer Nature
ISBN: 3031542525
Category :
Languages : en
Pages : 367

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Author: Kevin Reyes
Publisher: Independently Published
ISBN:
Category : Computers
Languages : en
Pages : 0

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Book Description
In the complex landscape of modern software development, mastering advanced risk management and quality strategies isn't just a benefit-it's a necessity. "QA Testing Book: A Pro-Level Guide to Advanced Risk Management and Quality Strategies" offers a deep dive into the sophisticated world of Quality Assurance at a professional level, tailored for those ready to elevate their QA expertise to the highest standards. This comprehensive guide is meticulously designed for experienced QA professionals, team leaders, and managers who are looking to enhance their strategic capabilities in mitigating risks and optimizing quality processes. Through a detailed exploration of cutting-edge methodologies, the book provides readers with the tools and insights needed to: Define Quality at a Strategic Level: Understand how strategic quality management can transform your approach to project and risk management in software development. Implement Advanced Risk Management Techniques: Learn to identify, assess, and mitigate risks with precision using proven frameworks and real-world applications. Optimize Resource Allocation and Management: Discover strategies for effective resource distribution to maximize team efficiency and product quality. Design and Execute High-Level Test Strategies: Gain expertise in creating impactful test designs and harnessing the latest in automation and technology for more robust testing. Lead QA Efforts in Agile and DevOps Environments: Adapt and thrive in Agile and DevOps settings by mastering continuous integration and deployment strategies that align with modern QA demands. Each chapter is enriched with case studies, real-world examples, and practical tips to not only understand but also implement the discussed strategies effectively. This guide ensures that you are equipped with the knowledge to lead your organizations towards a path of reduced risks and enhanced quality. "QA Testing Book: A Pro-Level Guide to Advanced Risk Management and Quality Strategies" is more than just a book; it's an essential toolkit for any QA professional aiming to become an indispensable part of their team by driving quality at the forefront of technology and business strategy. Whether you're looking to refine your skills, lead a QA team, or implement overarching quality strategies, this book will set you on the right path towards achieving excellence in QA.

Author: Ronald Cummings - John
Publisher: Roi Press
ISBN: 9781916185807
Category : Computers
Languages : en
Pages : 154

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Book Description
What makes the world's leading engineering and QA teams so successful? Learn from Google, Etsy, The New York Times, GitHub, King, HelloFresh and many more. Leading Quality is the ultimate guide to becoming a leader of quality, mastering strategic decisions and enabling your team to accelerate growth.