Google Cloud Platform Essential Training
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| Author | : Steve Bate, Ph.D. |
| Publisher | : Steve Bate |
| Total Pages | : 73 |
| Release | : 2024-10-12 |
| Genre | : Business & Economics |
| ISBN | : |
Unlock the Future of Managed Healthcare Technology Are you ready to revolutionize your career in technology and managed healthcare? "Essential Managed Health Care Training for Technology Professionals" is your ultimate companion, spanning three volumes packed with indispensable knowledge and practical insights. Whether you are a Software Developer, Manager, Business Systems Analyst, Quality Assurance Tester, or Technical Analyst, this comprehensive series is tailored to propel your success in the fast-paced world of managed healthcare. What You'll Discover: - Comprehensive Coverage: From foundational principles to advanced strategies, delve into every facet of managed healthcare technology. - Real-World Applications: Learn through practical examples and solutions that illustrate key concepts and challenges faced in the field. These examples are backed by the associated data models and tables' referential integrity which gives you an insight into the managed healthcare business model. Remember: Companies prioritize technology professionals who understand their business model over those who excel in using specific tools but lack comprehension of the business model itself. Understanding the business model is crucial for technology professionals to align their skills effectively with the company's strategic goals and operational needs. - Strategic Guidance: Gain the skills and expertise necessary to innovate, optimize processes, and deliver impactful solutions within healthcare settings. - Career Advancement: Position yourself as a leader and valuable asset in the managed healthcare sector with practical skills and industry-specific knowledge. Why Choose This Series? Written by an expert with deep industry experience, "Essential Managed Health Care Training for Technology Professionals" equips you with the tools to navigate the complexities of healthcare technology. Whether you're aiming to enhance your current role, transition into healthcare technology, or lead transformative projects, this series provides the roadmap to achieve your goals. Take the Next Step: Join the ranks of professionals shaping the future of healthcare technology. Equip yourself with the knowledge and skills needed to thrive in a rapidly evolving industry. Discover how you can make a difference and drive innovation with "Essential Managed Health Care Training for Technology Professionals." About the author: Steve Bate has extensive experience in managed healthcare technology spanning several years. He started his career as a Senior Programmer Analyst, focusing on supporting, configuring, and developing managed healthcare application groups within TriZetto Facets, a leading managed healthcare platform that has dominated the market for years. Over time, he advanced through roles such as Lead Programmer Analyst, data modeler, Data Architect, and Enterprise Data Architect before transitioning to management several years ago. Steve has accumulated substantial expertise in the field, making significant contributions to various managed healthcare organizations, including positions at Blue Cross Blue Shield in Rhode Island and Buffalo, New York.
| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 168 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
Google Certification Guide - Google Professional Cloud Network Engineer Master the Network Dynamics of Google Cloud Embark on your journey to becoming a Google Professional Cloud Network Engineer with this comprehensive guide. Designed for networking professionals seeking to leverage Google Cloud's powerful networking capabilities, this book offers a deep dive into the core concepts, technologies, and best practices of cloud networking in the Google Cloud environment. What You Will Find Inside: Foundational to Advanced Networking Concepts: Thoroughly explore Google Cloud's networking services, including VPCs, hybrid connectivity, network security, and more. Practical Networking Solutions: Gain practical insights through real-world scenarios and case studies, demonstrating effective network design and management on Google Cloud. Exam-Focused Preparation: Receive detailed guidance on the structure and content of the Google Professional Cloud Network Engineer certification exam, complete with practice questions and study strategies. Current Networking Trends and Techniques: Stay informed about the latest advancements and best practices in cloud networking, ensuring your skills are up-to-date and relevant. Expertly Written by a Cloud Networking Professional Penned by an experienced cloud network engineer, this guide blends technical expertise with practical application, providing a rich and comprehensive learning experience. Your Comprehensive Guide to Cloud Networking Certification Whether you are an experienced network engineer or looking to specialize in cloud networking, this book is your essential companion, guiding you through the intricacies of Google Cloud networking and preparing you for the Professional Cloud Network Engineer exam. Elevate Your Cloud Networking Expertise This guide goes beyond exam preparation; it's a deep exploration into the art and science of cloud networking on Google Cloud, designed to equip you with the skills and knowledge necessary to excel in this dynamic field. Begin Your Cloud Networking Mastery Step into the role of a Google Professional Cloud Network Engineer with confidence and expertise. This guide is your first step towards achieving certification and advancing your career in the rapidly evolving world of cloud networking. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
| Author | : Robert Johnson |
| Publisher | : HiTeX Press |
| Total Pages | : 229 |
| Release | : 2024-10-27 |
| Genre | : Computers |
| ISBN | : |
"Essential AutoML: Automating Machine Learning" serves as a comprehensive guide to understanding the transformative potential of Automated Machine Learning (AutoML) in today's data-driven world. As industries increasingly rely on sophisticated algorithms to derive insights and drive decisions, AutoML stands out by automating complex machine learning tasks, thus making advanced analytics accessible to a broader audience. This book meticulously covers the foundational concepts, from the basics of machine learning to the nuanced intricacies of AutoML frameworks, tools, and techniques, providing a clear pathway for practitioners and newcomers alike to leverage automation in their data science endeavors. Through detailed exploration and practical examples, the book delves into core aspects such as data preprocessing, model selection, hyperparameter tuning, and deployment strategies, shedding light on the seamless integration of these processes. Readers will gain insights into overcoming challenges and will be introduced to state-of-the-art methodologies and future trends. Emphasizing both theoretical understanding and practical applications, "Essential AutoML" equips readers with the knowledge to effectively implement AutoML solutions, enhancing productivity and innovation across diverse fields. This book is an indispensable resource for data scientists, IT professionals, and anyone keen on exploring the potential of machine learning automation.
| Author | : |
| Publisher | : Cybellium |
| Total Pages | : 242 |
| Release | : 2024-10-26 |
| Genre | : |
| ISBN | : 1836798067 |
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 171 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
Google Certification Guide - Google Professional Machine Learning Engineer Unlock the World of Machine Learning on Google Cloud Embark on a transformative journey to become a Google Professional Machine Learning Engineer with this comprehensive guide. Designed for those who aspire to master the application of machine learning techniques and tools in the Google Cloud environment, this book is an essential resource for professionals seeking to harness the power of ML in their projects and workflows. What Awaits Inside: Advanced ML Concepts and Practices: Dive deep into the world of machine learning on Google Cloud, covering services like AI Platform, TensorFlow, and BigQuery ML. Real-World Applications: Learn through practical scenarios and hands-on examples, illustrating the effective implementation of machine learning models and solutions on Google Cloud. Strategic Exam Preparation: Gain crucial insights into the certification exam's structure and content, complemented by comprehensive practice questions and preparation strategies. Cutting-Edge ML Trends: Stay updated with the latest advancements in Google Cloud machine learning technologies, ensuring your skills remain relevant and innovative. Authored by a Machine Learning Expert Written by an experienced practitioner in the field of machine learning on Google Cloud, this guide bridges the gap between theoretical knowledge and practical application, offering a rich and comprehensive learning experience. Your Comprehensive Guide to ML Certification Whether you’re an experienced machine learning engineer or looking to elevate your expertise in Google Cloud's ML offerings, this book is a valuable companion, guiding you through the intricacies of machine learning in Google Cloud and preparing you for the Professional Machine Learning Engineer certification. Elevate Your Machine Learning Journey This guide is more than a pathway to certification; it's a deep dive into the practical and innovative aspects of machine learning in the Google Cloud environment, designed to equip you with the skills and knowledge for a thriving career in this dynamic field. Begin Your Machine Learning Adventure Start your journey to becoming a certified Google Professional Machine Learning Engineer. This guide is not just about passing an exam; it's about unlocking new opportunities and frontiers in the exciting world of machine learning on Google Cloud. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
| Author | : Giuseppe Ciaburro |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 489 |
| Release | : 2018-04-30 |
| Genre | : Computers |
| ISBN | : 1788398874 |
Unleash Google's Cloud Platform to build, train and optimize machine learning models Key Features Get well versed in GCP pre-existing services to build your own smart models A comprehensive guide covering aspects from data processing, analyzing to building and training ML models A practical approach to produce your trained ML models and port them to your mobile for easy access Book Description Google Cloud Machine Learning Engine combines the services of Google Cloud Platform with the power and flexibility of TensorFlow. With this book, you will not only learn to build and train different complexities of machine learning models at scale but also host them in the cloud to make predictions. This book is focused on making the most of the Google Machine Learning Platform for large datasets and complex problems. You will learn from scratch how to create powerful machine learning based applications for a wide variety of problems by leveraging different data services from the Google Cloud Platform. Applications include NLP, Speech to text, Reinforcement learning, Time series, recommender systems, image classification, video content inference and many other. We will implement a wide variety of deep learning use cases and also make extensive use of data related services comprising the Google Cloud Platform ecosystem such as Firebase, Storage APIs, Datalab and so forth. This will enable you to integrate Machine Learning and data processing features into your web and mobile applications. By the end of this book, you will know the main difficulties that you may encounter and get appropriate strategies to overcome these difficulties and build efficient systems. What you will learn Use Google Cloud Platform to build data-based applications for dashboards, web, and mobile Create, train and optimize deep learning models for various data science problems on big data Learn how to leverage BigQuery to explore big datasets Use Google’s pre-trained TensorFlow models for NLP, image, video and much more Create models and architectures for Time series, Reinforcement Learning, and generative models Create, evaluate, and optimize TensorFlow and Keras models for a wide range of applications Who this book is for This book is for data scientists, machine learning developers and AI developers who want to learn Google Cloud Platform services to build machine learning applications. Since the interaction with the Google ML platform is mostly done via the command line, the reader is supposed to have some familiarity with the bash shell and Python scripting. Some understanding of machine learning and data science concepts will be handy
| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 210 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
Google Certification Guide - Google Professional Cloud Security Engineer Secure Your Place in the World of Google Cloud Security Embark on a journey to mastering cloud security within the Google Cloud platform with this essential guide, designed for those aspiring to become Google Professional Cloud Security Engineers. This comprehensive resource is your roadmap to understanding the intricacies of securing cloud infrastructure, applications, and data on Google Cloud. Inside, You Will Discover: In-Depth Security Principles: Delve into the core concepts of cloud security, including identity and access management, data protection, and network security within the Google Cloud ecosystem. Practical Security Implementations: Gain hands-on experience through real-world scenarios and case studies, illustrating how to apply Google Cloud security best practices effectively. Focused Exam Preparation: A thorough breakdown of the exam format, including detailed insights into each domain, alongside targeted practice questions to ensure comprehensive preparation. Up-to-Date Security Trends: Stay abreast of the latest in cloud security advancements and best practices, ensuring your knowledge remains relevant and cutting-edge. Crafted by a Cloud Security Expert Written by a seasoned professional in Google Cloud security, this guide merges technical knowledge with practical insights, offering an invaluable learning experience for aspiring cloud security experts. Your Path to Security Expertise Whether you're a security professional transitioning to the cloud or looking to validate your Google Cloud security skills, this book is an indispensable resource, guiding you through the complexities of cloud security and preparing you for the Professional Cloud Security Engineer certification. Elevate Your Cloud Security Skills Beyond preparing for the certification exam, this guide provides a deep understanding of security practices in the Google Cloud environment, equipping you with the skills and knowledge to excel as a cloud security professional. Begin Your Google Cloud Security Journey Take your first step towards becoming a certified Google Professional Cloud Security Engineer. This guide is not just a preparation for the exam; it's your gateway to a successful career in cloud security. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
| Author | : RYAN. DOAN |
| Publisher | : Packt Publishing Ltd |
| Total Pages | : 190 |
| Release | : 2024-07-31 |
| Genre | : Computers |
| ISBN | : 1835887511 |
Unlock the secrets to mastering LLMOps with innovative approaches to streamline AI workflows, improve model efficiency, and ensure robust scalability, revolutionizing your language model operations from start to finish Key Features Gain a comprehensive understanding of LLMOps, from data handling to model governance Leverage tools for efficient LLM lifecycle management, from development to maintenance Discover real-world examples of industry cutting-edge trends in generative AI operation Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid advancements in large language models (LLMs) bring significant challenges in deployment, maintenance, and scalability. This Essential Guide to LLMOps provides practical solutions and strategies to overcome these challenges, ensuring seamless integration and the optimization of LLMs in real-world applications. This book takes you through the historical background, core concepts, and essential tools for data analysis, model development, deployment, maintenance, and governance. You’ll learn how to streamline workflows, enhance efficiency in LLMOps processes, employ LLMOps tools for precise model fine-tuning, and address the critical aspects of model review and governance. You’ll also get to grips with the practices and performance considerations that are necessary for the responsible development and deployment of LLMs. The book equips you with insights into model inference, scalability, and continuous improvement, and shows you how to implement these in real-world applications. By the end of this book, you’ll have learned the nuances of LLMOps, including effective deployment strategies, scalability solutions, and continuous improvement techniques, equipping you to stay ahead in the dynamic world of AI. What you will learn Understand the evolution and impact of LLMs in AI Differentiate between LLMOps and traditional MLOps Utilize LLMOps tools for data analysis, preparation, and fine-tuning Master strategies for model development, deployment, and improvement Implement techniques for model inference, serving, and scalability Integrate human-in-the-loop strategies for refining LLM outputs Grasp the forefront of emerging technologies and practices in LLMOps Who this book is for This book is for machine learning professionals, data scientists, ML engineers, and AI leaders interested in LLMOps. It is particularly valuable for those developing, deploying, and managing LLMs, as well as academics and students looking to deepen their understanding of the latest AI and machine learning trends. Professionals in tech companies and research institutions, as well as anyone with foundational knowledge of machine learning will find this resource invaluable for advancing their skills in LLMOps.
| Author | : Cybellium |
| Publisher | : Cybellium |
| Total Pages | : 235 |
| Release | : 2024-10-26 |
| Genre | : Computers |
| ISBN | : 1836798776 |
Designed for professionals, students, and enthusiasts alike, our comprehensive books empower you to stay ahead in a rapidly evolving digital world. * Expert Insights: Our books provide deep, actionable insights that bridge the gap between theory and practical application. * Up-to-Date Content: Stay current with the latest advancements, trends, and best practices in IT, Al, Cybersecurity, Business, Economics and Science. Each guide is regularly updated to reflect the newest developments and challenges. * Comprehensive Coverage: Whether you're a beginner or an advanced learner, Cybellium books cover a wide range of topics, from foundational principles to specialized knowledge, tailored to your level of expertise. Become part of a global network of learners and professionals who trust Cybellium to guide their educational journey. www.cybellium.com
| Author | : Cybellium Ltd |
| Publisher | : Cybellium Ltd |
| Total Pages | : 173 |
| Release | : |
| Genre | : Computers |
| ISBN | : |
Unlock the Power of Google Cloud with the "Digital Leader Certification Guide" In a world that's increasingly digital, organizations are turning to Google Cloud to transform their businesses, and they need experts to lead the way. The Google Cloud Digital Leader certification is your ticket to becoming a recognized authority in cloud technology and strategy. "Google Cloud Digital Leader Certification Guide" is your comprehensive companion on the journey to mastering this certification, providing you with the knowledge, skills, and strategic insights to excel in the realm of Google Cloud. Your Path to Digital Leadership The Google Cloud Digital Leader certification is highly regarded in the IT and cloud computing industry. Whether you are new to cloud technology or seeking to expand your expertise, this guide will empower you to navigate the path to certification and lead digital transformation initiatives effectively. What You Will Explore Google Cloud Fundamentals: Gain a deep understanding of the core principles of Google Cloud, including cloud architecture, infrastructure, products, services, and data management. Cloud Strategy and Implementation: Learn how to develop and execute effective cloud strategies that align with organizational goals and maximize the benefits of Google Cloud. Real-World Scenarios: Immerse yourself in practical case studies and real-world examples that illustrate how organizations have successfully leveraged Google Cloud to drive innovation and growth. Exam Preparation Strategies: Master proven strategies for preparing for the Google Cloud Digital Leader certification exam, including study plans, recommended resources, and expert test-taking techniques. Career Advancement: Discover how achieving the Google Cloud Digital Leader certification can open doors to exciting career opportunities and significantly enhance your earning potential. Why "Google Cloud Digital Leader Certification Guide" Is Essential Comprehensive Coverage: This book provides comprehensive coverage of Google Cloud Digital Leader exam topics, ensuring that you are fully prepared for the certification exam. Expert Guidance: Benefit from insights and advice from experienced cloud professionals who share their knowledge and industry expertise. Career Transformation: The Google Cloud Digital Leader certification is a testament to your digital leadership skills and can propel you into high-demand roles within the cloud technology space. Stay Ahead: In a rapidly evolving digital landscape, mastering Google Cloud technology and strategy is vital for staying competitive and leading innovation initiatives. Your Journey to Digital Leadership Begins Here "Google Cloud Digital Leader Certification Guide" is your roadmap to mastering the Google Cloud Digital Leader certification and driving digital transformation in your organization. Whether you aspire to lead cloud migration projects, optimize cloud resources, or become a strategic advisor, this guide will equip you with the skills and knowledge to achieve your goals. "Google Cloud Digital Leader Certification Guide" is the ultimate resource for individuals seeking to achieve the Google Cloud Digital Leader certification and excel in the field of cloud technology and strategy. Whether you are new to Google Cloud or a seasoned professional, this book will provide you with the knowledge and strategies to excel in the certification exam and establish yourself as a digital leader in the cloud computing domain. Don't wait; begin your journey to Google Cloud Digital Leader certification success today! © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
