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Gcp Cloud Developer Bootcamp Part 2


Gcp Cloud Developer Bootcamp Part 2
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Gcp Cloud Developer Bootcamp Part 2


Gcp Cloud Developer Bootcamp Part 2
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Author : Joseph Holbrook
language : en
Publisher:
Release Date : 2019

Gcp Cloud Developer Bootcamp Part 2 written by Joseph Holbrook and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


A Professional Cloud Developer builds scalable and highly available applications using Google recommended practices and tools that leverage fully managed services. This individual has experience with next generation databases, runtime environments and developer tools. They also have proficiency with at least one general purpose programming language and are skilled with using Stackdriver to produce meaningful metrics and logs to debug and trace code. This course is meant to be a course developed to be targeted for taking the Google Cloud Professional Cloud Developer Exam. Content is fresh and has been customized for the exam materials. It would be expected or at a minimum to have experience with Google Cloud and be a developer. Course has compressed the study objectives listed by Google Cloud and we have taken the Cloud Developer exam. The exam is very challenging and will challenge the "average" developer in many respects but mainly around how well you understand GCP best practices and services.



Gcp Cloud Developer Bootcamp Part 1 Of 2


Gcp Cloud Developer Bootcamp Part 1 Of 2
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Author : Joseph Holbrook
language : en
Publisher:
Release Date : 2019

Gcp Cloud Developer Bootcamp Part 1 Of 2 written by Joseph Holbrook and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.


A Professional Cloud Developer builds scalable and highly available applications using Google recommended practices and tools that leverage fully managed services. This individual has experience with next generation databases, runtime environments and developer tools. They also have proficiency with at least one general purpose programming language and are skilled with using Stackdriver to produce meaningful metrics and logs to debug and trace code. This course is meant to be a course developed to be targeted for taking the Google Cloud Professional Cloud Developer Exam. Content is fresh and has been customized for the exam materials. It would be expected or at a minimum to have experience with Google Cloud and be a developer. Course has compressed the study objectives listed by Google Cloud and we have taken the Cloud Developer exam. The exam is very challenging and will challenge the "average" developer in many respects but mainly around how well you understand GCP best practices and services.



Cloud Computing Demystified For Aspiring Professionals


Cloud Computing Demystified For Aspiring Professionals
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Author : David Santana
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-03-24

Cloud Computing Demystified For Aspiring Professionals written by David Santana and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-24 with Computers categories.


Gain in-depth knowledge of cloud computing concepts and apply them to accelerate your career in any cloud engineering role Key FeaturesGet to grips with key cloud computing concepts, cloud service providers, and best practicesExplore demonstrations for cloud computing models using real-world examplesAdopt the self-paced learning strategy and get industry-ready for cloud engineering rolesPurchase of the print or Kindle book includes a free eBook in the PDF formatBook Description If you want to upskill yourself in cloud computing domains to thrive in the IT industry, then you've come to the right place. Cloud Computing Demystified for Aspiring Professionals helps you to master cloud computing essentials and important technologies offered by cloud service providers needed to succeed in a cloud-centric job role. This book begins with an overview of transformation from traditional to modern-day cloud computing infrastructure, and various types and models of cloud computing. You'll learn how to implement secure virtual networks, virtual machines, and data warehouse resources including data lake services used in big data analytics — as well as when to use SQL and NoSQL databases and how to build microservices using multi-cloud Kubernetes services across AWS, Microsoft Azure, and Google Cloud. You'll also get step-by-step demonstrations of infrastructure, platform, and software cloud services and optimization recommendations derived from certified industry experts using hands-on tutorials, self-assessment questions, and real-world case studies. By the end of this book, you'll be ready to successfully implement cloud computing standardized concepts, services, and best practices in your workplace. What you will learnGain insights into cloud computing essentials and public, private, hybrid, and multi-cloud deployment modelsExplore core cloud computing services such as IaaS, PaaS, and SaaSDiscover major public cloud providers such as AWS, Microsoft, and GoogleUnlock the power of IaaS, PaaS, and SaaS with AWS, Azure, and GCPCreate secure networks, containers, Kubernetes, compute, databases, and API services on cloudDevelop industry-based cloud solutions using real-world examplesGet recommendations on exam preparation for cloud accreditationsWho this book is for The book is for aspiring cloud engineers, as well as college graduates, IT enthusiasts, and beginner-level cloud practitioners looking to get into cloud computing or transforming their career and upskilling themselves in a cloud engineering role in any industry. A basic understanding of networking, database development, and data analysis concepts and experience in programming languages such as Python and C# will help you get the most out of this book.



Building Machine Learning Pipelines


Building Machine Learning Pipelines
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Author : Hannes Hapke
language : en
Publisher: O'Reilly Media
Release Date : 2020-07-13

Building Machine Learning Pipelines written by Hannes Hapke and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-13 with Computers categories.


Companies are spending billions on machine learning projects, but it’s money wasted if the models can’t be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow ecosystem. You’ll learn the techniques and tools that will cut deployment time from days to minutes, so that you can focus on developing new models rather than maintaining legacy systems. Data scientists, machine learning engineers, and DevOps engineers will discover how to go beyond model development to successfully productize their data science projects, while managers will better understand the role they play in helping to accelerate these projects. Understand the steps to build a machine learning pipeline Build your pipeline using components from TensorFlow Extended Orchestrate your machine learning pipeline with Apache Beam, Apache Airflow, and Kubeflow Pipelines Work with data using TensorFlow Data Validation and TensorFlow Transform Analyze a model in detail using TensorFlow Model Analysis Examine fairness and bias in your model performance Deploy models with TensorFlow Serving or TensorFlow Lite for mobile devices Learn privacy-preserving machine learning techniques



Pytorch Foundations And Applications


Pytorch Foundations And Applications
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-06-09

Pytorch Foundations And Applications written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.


"PyTorch Foundations and Applications" "PyTorch Foundations and Applications" is a comprehensive and meticulously structured guide designed for practitioners and researchers aiming to master modern deep learning workflows with PyTorch. Through a clear progression—from fundamental concepts to advanced deployment scenarios—this book covers the inner workings of the PyTorch framework, including its core architecture, tensor operations, memory management, and automatic differentiation system. Early chapters equip readers with the practical skills needed for efficient data handling, robust model composition, and the management of computing resources across CPUs, GPUs, and distributed environments. Moving beyond the basics, the book delves deep into the mechanisms of model training, optimization, and advanced techniques such as custom autograd functions, quantization, and model compression. Readers are introduced to hands-on strategies for implementing scalable, high-performance training pipelines, leveraging mixed precision, and deploying models in production settings using robust MLOps practices. Each topic is illustrated with best practices for testing, debugging, reproducibility, and compliance with security and privacy standards—ensuring that models are not only performant but also reliable and secure for real-world applications. The final sections illustrate PyTorch's versatility across diverse application domains, from computer vision and natural language processing to audio processing, reinforcement learning, and geometric deep learning. The book concludes with an exploration of the PyTorch ecosystem, community engagement, and emerging trends such as PyTorch 2.0 and compiler-based optimizations. Rich with references to domain-specific tools and ongoing research integration, "PyTorch Foundations and Applications" serves both as an authoritative reference and a practical handbook, empowering readers to build, scale, and maintain state-of-the-art machine learning solutions with confidence.



Scientific And Technical Aerospace Reports


Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1986

Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Aeronautics categories.




Jane S Space Directory


Jane S Space Directory
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Author : Jane's Information Group
language : en
Publisher:
Release Date : 1996-09

Jane S Space Directory written by Jane's Information Group and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996-09 with Science categories.


An annual book providing overviews of the world's space programmes and organizations. Coverage includes past, current and future programmes, details of individual companies and their activities, military space programmes such as SDI, and Soviet activities. Available on CD-ROM and EIS.



Agrindex


Agrindex
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Author :
language : en
Publisher:
Release Date : 1995

Agrindex written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Agriculture categories.




New Scientist


New Scientist
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Author :
language : en
Publisher:
Release Date : 1998

New Scientist written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Science categories.




Naga


Naga
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Author :
language : en
Publisher:
Release Date : 1993

Naga written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Aquaculture categories.