integration software development operations de kaiser abhinav (12 resultados)

Condición: New.

Paperback. Condición: New. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you'll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.

Paperback. Condición: New. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you'll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.

Paperback. Condición: New. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you'll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.

Paperback. Condición: New. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, you'll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.

Condición: New. In.

Condición: Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Paperback. Condición: new. Paperback. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.Youll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, youll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Condición: Neu. Neuware -Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin 340 pp. Englisch.

Paperback. Condición: new. Paperback. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.Youll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, youll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. Discover how Artificial Intelligence (AI) is transforming the fields of software development, testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insights and actionable guidance on how to integrate AI technologies to boost productivity, enhance product quality, and streamline development cycles. It serves as a comprehensive guide for those looking to leverage AI to drive innovation, cut costs, and stay competitive in an ever-evolving technological landscape.Youll explore how AI can be integrated into software development, testing, and IT operations to improve efficiency, accuracy, and speed. Through real-world use cases, youll see how AI-driven tools can automate tasks, reduce human error, and improve processes across the development lifecycle. AI Integration in Software Development and Operations offers actionable insights on using AI to accelerate innovation, enhance product quality, and optimize costs in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Discover how Artificial Intelligence (AI) is transforming the fields of software development,testing, and IT operations by enhancing efficiency, reducing human error, and accelerating processes. This book showcases the practical applications of AI-driven tools, such as automating coding, testing, and operational tasks, predicting potential issues, and optimizing performance.Aimed at digital leaders, practitioners, and customers, this book provides strategic insightsand actionable guidance on how to integrate AI technologies to boost productivity, enhanceproduct quality, and streamline development cycles. It serves as a comprehensive guidefor those looking to leverage AI to drive innovation, cut costs, and stay competitive in anever-evolving technological landscape.You'll explore how AI can be integrated into software development, testing, and IT operationsto improve efficiency, accuracy, and speed. Through real-world use cases, you'll see howAI-driven tools can automate tasks, reduce human error, and improve processes acrossthe development lifecycle. AI Integration in Software Development and Operations offersactionable insights on using AI to accelerate innovation, enhance product quality, and optimizecosts in your modern software and IT environments.What You Will LearnReview the SDLC lifecycle, DevOps, SRE and accompanying topicsUnderstand machine learning basics, AI techniques, and data preprocessing for DevOpsExplore how AI integration into all phases of SDLC boosts productivity, increaseseffectiveness, and reduces human errorGain a familiarity with AI tools, their use cases, and the value in integrating themWho This Book is ForSoftware engineers, developers, programmers, DevOps engineers, and AI practitioners who are interested in integrating AI into their DevOps practices.