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Google Cloud Generative Ai Certification Guide

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Google Cloud Generative Ai Certification Guide

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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :

Google Cloud Generative Ai Certification Guide written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

🧠Ace the Google Cloud Generative AI Leader Certification: Comprehensive Guide to Strategic AI Leadership Unlock the power of strategic AI leadership with this definitive guide to earning your Google Cloud Generative AI Leader Certification. Authored by AI expert Etienne Noumen, this eBook is a step-by-step roadmap for professionals looking to master generative AI concepts, tools, and best practices at an executive level. Whether you’re a tech-savvy leader, consultant, or enterprise strategist, this resource delivers: 🧠 In-depth coverage of Google Cloud’s GenAI framework, ethical AI, and organizational implementation 🛠️ Real-world use cases, scenario-based guidance, and practical exam prep 🚀 Strategies to future-proof your AI career and lead innovation responsibly Ideal for C-suite executives, AI champions, and business transformation leaders, this eBook will prepare you to confidently pass the certification exam and become a certified Generative AI Leader. What's Included Here’s Everything You Get in This Certification Power Pack 📖 100-Page Strategic Guide Condensed, exam-focused lessons—no fluff 🎯 60+ Practice Questions & Explanations Modeled after real exam scenarios ⏱️ 30-Day Study Planner Optimized for busy professionals 🧠 Key Concept Cheat Sheets Quick-review summaries of complex topics ⚠️ Exam Pitfall Alerts Common mistakes and how to avoid them Technical Specifications 📄 Format & Delivery Instant digital download (PDF, audio) Page count: 100 pages (optimized for screen + print) Print-ready: Formatted for clean highlighting/note-taking 🔄 Updates & Long-Term Value Free lifetime updates for 2025-2026 exam changes Update alerts: Get notified via email when new content drops Version 1.0 (May 2025 aligned) ✍️ Interactive Elements Self-assessment quizzes after each module Worksheets for study planning Case study templates 🎯 Practice Exams Full-length mock tests (60 questions total) Detailed explanations for every answer Benefits: ✅ Covers all 5 exam domains with real-world examples. ✅ Includes 50+ practice questions (+ answer explanations). ✅ Get the eBook AND audiobook—study on the go. ✅ Save 50+ hours of study time with condensed, exam-focused strategies. ✅ Includes real-world case studies & practice questions. ✅ Exactly what to study - no wasted time on irrelevant materials ✅ Practice questions modeled after the actual exam format ✅ Proven strategies from certified AI professionals ✅ Key concepts explained in simple terms with real-world examples ✅ Common exam pitfalls and how to avoid them ✅ Study plan templates to optimize your preparation time About the Author: Etienne Noumen is a Senior Software Engineer and passionate soccer dad based in Canada. He is the creator of the "AI Unraveled" podcast, available on Apple Podcasts and other platforms, and the founder of Djamgatech. Etienne has developed numerous educational mobile applications, including the popular Djamgatech app for certification preparation and an app often referred to as "AI and Machine Learning for Dummies" (officially titled "AI & Machine Learning Tutor" on app stores), which serves as a comprehensive learning hub for AI and machine learning. He is dedicated to leveraging technology and AI to create educational resources that empower individuals worldwide.📚The audiobook is available at https://play.google.com/store/audiobooks/details/Etienne_Noumen_Ace_the_Google_Cloud_Generative_AI?id=AQAAAEBK2wSbXM What Early Readers Are Saying: ✅ This guide cut my study time in half! The clear explanations and exam-focused tips helped me pass on my first try. — Mark T., Cloud Architect ✅ I was overwhelmed by Google’s documentation, but this guide streamlined everything. The practice scenarios were spot-on. — Priya S., AI Engineer ✅ Worth every penny. The cheat sheets alone saved me hours of note-taking. — Alex K., Data Scientist 30-Day Money-Back 'Pass Guarantee' 🛡️ Pass the exam or get your money back! If you complete the guide and still don’t succeed, show me your exam results, and I’ll refund you—because this system works. Frequently Asked Questions 1. How long does it typically take to prepare using this guide? Most students prepare in 2-4 weeks by following the included study plan. If you’re already familiar with AI fundamentals, you may need less time. The guide is designed for efficiency—focusing only on what’s needed to pass, without fluff. 2. Is this updated for the latest 2025 exam version? Yes! This guide is continuously revised to match Google Cloud’s latest exam blueprint (updated June 2025). Unlike outdated books or free blogs, you’re getting the most current strategies, case studies, and practice questions. 3. What’s the difference between this and Google’s official materials? Google’s documentation is comprehensive but overwhelming. This guide: Condenses key concepts into clear, actionable lessons Focuses on exam-critical topics (not just general knowledge) Includes mnemonics, cheat sheets, and mock scenarios you won’t find elsewhere Think of it as your ‘cheat code’ to the exam—official materials tell you what to learn; this guide shows you how to master it. 4. Can I use this if I’m new to generative AI concepts? Absolutely! The guide starts with foundational AI/ML principles before diving into Google Cloud’s specifics. Many beginners have used it to pass—just budget extra time for the basics. For total newcomers, we recommend pairing it with Google’s free introductory courses (we’ll point you to the right ones!). 5. Do you offer practice exams? Yes! The guide includes 50+ scenario-based questions mirroring the exam’s format, plus detailed explanations. Many students say these were the key to their success. 6. What if I fail after using this guide? While most students pass on their first try, if you don’t, email us your exam report. We’ll give you a free updated guide or personalized tips to help you retake—because we’re invested in your success.

Google Cloud Digital Leader Certification Guide

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Author : Bruno Beraldo Rodrigues
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-03-15

Google Cloud Digital Leader Certification Guide written by Bruno Beraldo Rodrigues 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 2024-03-15 with Computers categories.

Gain the expertise needed for the Google Cloud Digital Leader certification with the help of industry insights, effective testing strategies, and exam questions designed to help you make informed tech decisions aligned with business goals Key Features Learn about data management, AI, monetization, security, and the significance of infrastructure modernization Build a solid foundation in Google Cloud, covering all technical essentials necessary for a Google Cloud Digital Leader Test your knowledge of cloud and digital transformation through realistic exam questions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionTo thrive in today's world, leaders and technologists must understand how technology shapes businesses. As organizations shift from self-hosted to cloud-native solutions, embracing serverless systems, strategizing data use, and defining monetization becomes imperative. The Google Cloud Digital Leader Certification Guide lays a solid foundation of industry knowledge, focused on the Google Cloud platform and the innovative ways in which customers leverage its technologies. The book starts by helping you grasp the essence of digital transformation within the Google Cloud context. You’ll then cover core components of the platform, such as infrastructure and application modernization, data innovation, and best practices for environment management and security. With a series of practice exam questions included, this book ensures that you build comprehensive knowledge and prepare to certify as a Google Cloud Digital Leader. Going beyond the exam essentials, you’ll also explore how companies are modernizing infrastructure, data ecosystems, and teams in order to capitalize on new market opportunities through platform expertise, best practices, and real-world scenarios. By the end of this book, you'll have learned everything you need to pass the Google Cloud Digital Leader certification exam and have a reference guide for future requirements.What you will learn Leverage Google Cloud’s AI and ML solutions to create business value Identify Google Cloud solutions for data management and smart analytics Acquire the skills necessary to modernize infrastructure and applications on GCP Understand the value of APIs and their applications in cloud environments Master financial governance and implement best practices for cost management Understand the cloud security approach and benefits of Google Cloud security Find out how IT operations must adapt to thrive in the cloud Who this book is for This Google Cloud fundamentals book is suitable for individuals with both technical and non-technical backgrounds looking for a starting point to pursue more advanced Google Cloud certifications. No prior experience is required to get started with this book; only a keen interest in learning and exploring cloud concepts, with a focus on Google Cloud.

Google Cloud Associate Cloud Engineer Certification Guide

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Author : Arijit Sarkar
language : en
Publisher: BPB Publications
Release Date : 2025-05-21

Google Cloud Associate Cloud Engineer Certification Guide written by Arijit Sarkar and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Computers categories.

DESCRIPTION With the emergence of cloud computing, organizations are moving their workloads to the public cloud to reduce the capital expenditure towards on-premises IT infrastructure. Google Cloud Platform is one of the major public cloud platforms. Hence, learning about it in depth is crucial for anyone aiming to excel in the cloud computing landscape. This book systematically explores GCP, starting with cloud fundamentals and an overview of GCP services, followed by the ACE exam scope. You will gain practical skills in the console, Cloud Shell, billing, APIs, and IAM, and explore storage (GCS) and databases (Cloud SQL, Spanner). You will master compute through VMs, Cloud Run, GKE, App Engine, Cloud Functions, learn networking with VPC, firewall rules, load balancing, DNS, CDN, and NAT, and discover big data, AI/ML, deployment, and monitoring. You will understand the application lifecycle and ACE exam specifics with practice simulations. By the end of this book, you will be well-prepared to confidently tackle the Associate Cloud Engineer certification exam and equipped with the practical knowledge to effectively design, deploy, and manage solutions on GCP, ready to contribute meaningfully to cloud-driven projects. WHAT YOU WILL LEARN ● Understand cloud computing in enterprise environment. ● Google Cloud Platform Compute Platforms / Services. ● Different database options in Google Cloud Platform for various use cases. ● End-to-end use case implementation in Google Cloud Platform. ● Detailed explanation on networking in cloud computing. ● Confidently apply GCP knowledge for ACE certification and cloud roles. WHO THIS BOOK IS FOR This book is for IT professionals familiar with on-premises infrastructure or those new to public cloud, including system administrators, developers, and cloud enthusiasts. Students aiming to learn Google Cloud Platform as their entry into cloud computing will also find this guide beneficial. Prior networking and operating system basics are helpful but not mandatory. TABLE OF CONTENTS 1. Cloud Computing with GCP 2. Overview of Google Cloud Associate Cloud Engineer Certification 3. Understanding GCP Console, Cloud Shell, Billing, and APIs 4. Identity and Access Management in GCP 5. Storage Solutions in GCP (Block, Network File and Object) 6. Understanding Different Databases in GCP 7. Google Compute Engine 8. Cloud Run 9. Google Kubernetes Engine 10. Cloud Functions 11. App Engine 12. Networking in GCP 13. Networking in GCP Firewall Rules, Load Balancing, DNS, CDN and NAT 14. Big Data Processing, AI, Deployment and Monitoring in GCP 15. End-to-End Application Lifecycle in GCP Design, Build, Test, Deployment and Montoring 16. Specific Topics for GCP ACE Exam 17. Practice Test 1 18. Practice Test 2

Google Cloud Generative Ai Certification Guide

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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :

Ace The Google Machine Learning Engineer Certification

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Author : Etienne Noumen
language : en
Publisher: Etienne Noumen
Release Date :

Ace The Google Machine Learning Engineer Certification written by Etienne Noumen and has been published by Etienne Noumen this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.

Master Google Cloud’s most advanced AI certification with this definitive 2025 study guide. From TensorFlow and data pipelines to ML ops, model deployment, and ethical AI—this book delivers the knowledge, tools, and confidence to help you ace the Professional Machine Learning Engineer Exam. Backed by real-world examples, mock exams, and hands-on insights. 🎯 The ins and outs of Google's Machine Learning Engineer certification are explored in detail. A comprehensive guide is provided, covering the latest updates and offering tips for success. Why This Certification Matters - The growing demand for skilled Machine Learning Engineers - Career advancement and increased earning potential - The Google brand and its weight in the tech world Decoding the Certification: Requirements & Exam Structure - The four main exam domains: Machine Learning Concepts, Data Analysis, Model Building and Evaluation, and Machine Learning Systems Design - Exam format and structure: Multiple-choice, coding, and open-ended questions - The Google Cloud Platform (GCP) proficiency requiredMastering the Material: Essential Skills & Resources - Key concepts: Supervised and unsupervised learning, deep learning, natural language processing, computer vision - Recommended resources: Coursera, Udacity, Google Cloud Skills Boost, and relevant online communities - Practical projects: Building your own portfolio to showcase your skills Strategies for Success: Effective Preparation & Exam Day Tips - Practice, practice, practice: Using mock exams, coding exercises, and real-world datasets - Time management: Balancing learning, practice, and exam-day strategy - Stress management: Techniques to stay calm and focused on exam day Full Practice Exam - 2025 included Beyond the Certification: Career Paths & Continued Learning - The book explores potential roles: Machine Learning Engineer, Data Scientist, AI Researcher - The importance of continuous learning and staying updated with advancements in the field - Building your professional network and actively contributing to the ML community 📘 Download the E-Book + Audiobook combo at Djamgatech at https://djamgatech.com/product/ace-the-google-machine-learning-engineer-certification-2025-update-e-book-audiobook/ 📘 You can also Download the E-Book + Audiobook combo at Google Play Books at https://play.google.com/store/audiobooks/details?id=AQAAAEDKqGjosM

Ultimate Generative Ai Solutions On Google Cloud

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Author : Arun Pandey
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2024-12-29

Ultimate Generative Ai Solutions On Google Cloud written by Arun Pandey and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-29 with Computers categories.

TAGLINE Unlock Generative AI's Potential: Transform Ideas into Reality on Google Cloud! KEY FEATURES ● Step-by-step guidance for building Generative AI apps on Google Cloud Platform. ● Pro tips for fine-tuning models to achieve optimal performance. ● Industry-specific use cases for practical, hands-on learning. DESCRIPTION Generative AI, powered by Google Cloud Platform (GCP), is reshaping industries with its advanced capabilities in automating and enhancing complex tasks. The Ultimate Generative AI Solutions on Google Cloud is your comprehensive guide to harnessing this powerful combination to innovate and excel in your job role. It explores foundational machine learning concepts and dives deep into Generative AI, providing the essential knowledge needed to conceptualize, develop, and deploy cutting-edge AI solutions. Within these pages, you'll explore Large Language Models (LLMs), Prompt engineering, Fine-tuning techniques, and the latest advancements in AI, with special emphasis on Parameter-Efficient Fine-Tuning (PEFT) and Reinforcement Learning with Human Feedback (RLHF). You'll also learn about the integration of LangChain and Retrieval-Augmented Generation (RAG) to enhance AI capabilities. By mastering these techniques, you can optimize model performance while conserving resources. The integration of GCP services simplifies the development process, enabling the creation of robust AI applications with ease. By the end of this book, you will not only understand the technical aspects of Generative AI but also gain practical skills that can transform your work to drive innovation and boost operational efficiency with Generative AI on GCP. WHAT WILL YOU LEARN ● Build and deploy cutting-edge generative AI solutions using Google Cloud, LangChain, and RAG. ● Fine-tune large language models (LLMs) with PEFT to meet precise business objectives. ● Master prompt engineering techniques to enhance model performance with GCP tools. ● Optimize production AI for efficiency and scalability using GCP’s Cloud Functions and Cloud Run. ● Apply real-world industry use cases to drive innovation and solve complex problems with LLMOps. ● Manage and streamline AI projects effectively using GCP services like Dataflow, Pub/Sub, and Monitoring. WHO IS THIS BOOK FOR? This book is tailored for AI practitioners, data scientists, and developers with a foundational knowledge of machine learning and experience using Google Cloud services. Familiarity with Python programming and an interest in generative AI applications will enrich your understanding and support practical implementation of the concepts. TABLE OF CONTENTS 1. Generative AI Essentials 2. Google Cloud Basics 3. Getting Started with Large Language Models 4. Prompt Engineering and Contextual Learning 5. Fine-Tuning a Large Language Model 6. Parameter-Efficient Fine-Tuning (PEFT) 7. Reinforcement Learning with Human Feedback 8. Model Optimization 9. LLMOps for Managing and Monitoring AI Projects 10. Harnessing RAG and LangChain 11. Case Studies and Real-World Implementations Index

Comptia Securityx Cas 005 Certification Guide

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Author : Mark Birch
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-25

Comptia Securityx Cas 005 Certification Guide written by Mark Birch 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 2025-07-25 with Computers categories.

Become a cybersecurity expert with comprehensive CAS-005 preparation using this detailed guide packed with practical insights, mock exams, diagrams, and actionable strategies that align with modern enterprise security demands Key Features Strengthen your grasp of key concepts and real-world security practices across updated exam objectives Gauge your preparedness with over 300 practice questions, flashcards, and mock exams Visualize complex topics with diagrams of AI-driven threats, Zero Trust, cloud security, cryptography, and incident response Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs cyber threats evolve at unprecedented speed and enterprises demand resilient, scalable security architectures, the CompTIA SecurityX CAS-005 Certification Guide stands as the definitive preparation resource for today's security leaders. This expert-led study guide enables senior security professionals to master the full breadth and depth of the new CAS-005 exam objectives. Written by veteran instructor Mark Birch, this guide draws from over 30 years of experience in teaching, consulting, and implementing cybersecurity controls to deliver clear, actionable content across the four core domains: governance, risk, and compliance; security architecture; security engineering; and security operations. It addresses the most pressing security challenges, from AI-driven threats and Zero Trust design to hybrid cloud environments, post-quantum cryptography, and automation. While exploring cutting-edge developments, it reinforces essential practices such as threat modeling, secure SDLC, advanced incident response, and risk management. Beyond comprehensive content coverage, this guide ensures you are fully prepared to pass the exam through exam tips, review questions, and detailed mock exams, helping you build the confidence and situational readiness needed to succeed in the CAS-005 exam and real-world cybersecurity leadership.What you will learn Build skills in compliance, governance, and risk management Understand key standards such as CSA, ISO27000, GDPR, PCI DSS, CCPA, and COPPA Hunt advanced persistent threats (APTs) with AI, threat detection, and cyber kill frameworks Apply Kill Chain, MITRE ATT&CK, and Diamond threat models for proactive defense Design secure hybrid cloud environments with Zero Trust architecture Secure IoT, ICS, and SCADA systems across enterprise environments Modernize SecOps workflows with IAC, GenAI, and automation Use PQC, AEAD, FIPS, and advanced cryptographic tools Who this book is for This CompTIA book is for candidates preparing for the SecurityX certification exam who want to advance their career in cybersecurity. It’s especially valuable for security architects, senior security engineers, SOC managers, security analysts, IT cybersecurity specialists/INFOSEC specialists, and cyber risk analysts. A background in a technical IT role or a CompTIA Security+ certification or equivalent experience is recommended.

Generative Ai On Google Cloud With Langchain

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Author : Leonid Kuligin
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-12-20

Generative Ai On Google Cloud With Langchain written by Leonid Kuligin 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 2024-12-20 with Computers categories.

Turn challenges into opportunities by mastering advanced techniques for text generation, summarization, and question answering using LangChain and Google Cloud tools Key Features Solve real-world business problems with hands-on examples of GenAI applications on Google Cloud Learn repeatable design patterns for Gen AI on Google Cloud with a focus on architecture and AI ethics Build and implement GenAI agents and workflows, such as RAG and NL2SQL, using LangChain and Vertex AI Purchase of the print or Kindle book includes a free PDF eBook Book Description The rapid transformation and enterprise adoption of GenAI has created an urgent demand for developers to quickly build and deploy AI applications that deliver real value. Written by three distinguished Google AI engineers and LangChain contributors who have shaped Google Cloud’s integration with LangChain and implemented AI solutions for Fortune 500 companies, this book bridges the gap between concept and implementation, exploring LangChain and Google Cloud’s enterprise-ready tools for scalable AI solutions. You'll start by exploring the fundamentals of large language models (LLMs) and how LangChain simplifies the development of AI workflows by connecting LLMs with external data and services. This book guides you through using essential tools like the Gemini and PaLM 2 APIs, Vertex AI, and Vertex AI Search to create sophisticated, production-ready GenAI applications. You'll also overcome the context limitations of LLMs by mastering advanced techniques like Retrieval-Augmented Generation (RAG) and external memory layers. Through practical patterns and real-world examples, you’ll gain everything you need to harness Google Cloud’s AI ecosystem, reducing the time to market while ensuring enterprise scalability. You’ll have the expertise to build robust GenAI applications that can be tailored to solve real-world business challenges. What you will learn Build enterprise-ready applications with LangChain and Google Cloud Navigate and select the right Google Cloud generative AI tools Apply modern design patterns for generative AI applications Plan and execute proof-of-concepts for enterprise AI solutions Gain hands-on experience with LangChain's and Google Cloud's AI products Implement advanced techniques for text generation and summarization Leverage Vertex AI Search and other tools for scalable AI solutions Who this book is for If you’re an application developer or ML engineer eager to dive into GenAI, this book is for you. Whether you're new to LangChain or Google Cloud, you'll learn how to use these tools to build scalable AI solutions. This book is ideal for developers familiar with Python and machine learning basics looking to apply their skills in GenAI. Professionals who want to explore Google Cloud's powerful suite of enterprise-grade GenAI products and their implementation will also find this book useful.

Aws Certified Ai Practitioner A Business Professional S Guide

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Author : Vladimir Provorov
language : en
Publisher: Cloud City Press
Release Date : 2025-04-27

Aws Certified Ai Practitioner A Business Professional S Guide written by Vladimir Provorov and has been published by Cloud City Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-27 with Computers categories.

AWS Certified AI Practitioner: A Business Professional's Guide An exam study guide for AWS exam AIF-C01 Second Edition (April 2025) Unlock the Power of AI on AWS – For Business Professionals Are you a business analyst, project manager, or IT professional looking to harness the potential of AI in your organization? Do you need to understand AI/ML capabilities on AWS without diving deep into the technical implementation? This comprehensive study guide is your key to mastering the AWS Certified AI Practitioner exam (AIF-C01) and advancing your career in the AI-driven business landscape. What You'll Learn: Fundamental concepts of AI, ML, and generative AI in business contexts How to identify and evaluate AI opportunities within your organization Best practices for implementing and managing AI projects on AWS Essential AWS AI services and their business applications Strategies for ensuring responsible and ethical AI development Exam Preparation: All domains and topics of the AWS Certified AI Practitioner exam 70 practice questions and detailed answers for self-assessment and exam readiness Real-world scenarios to test your understanding of AI concepts in business settings Dozens of diagrams, summary tables, and hundreds of links for further reading Perfect for: Business analysts and IT support professionals Marketing and sales professionals Product and project managers Line-of-business and IT managers Written by an experienced AWS Solutions Architect, this unofficial guide translates complex AI concepts into easy-to-understand language for non-technical professionals. With real-world examples, practice questions, and actionable insights, you'll gain the confidence to contribute effectively to AI initiatives and make informed decisions about AI technologies. Prepare for the AWS Certified AI Practitioner exam and position yourself as a valuable asset in the AI revolution. Start your journey to becoming an AI-savvy business professional today!

Google Machine Learning And Generative Ai For Solutions Architects

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Author : Kieran Kavanagh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-28

Google Machine Learning And Generative Ai For Solutions Architects written by Kieran Kavanagh 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 2024-06-28 with Computers categories.

Architect and run real-world AI/ML solutions at scale on Google Cloud, and discover best practices to address common industry challenges effectively Key Features Understand key concepts, from fundamentals through to complex topics, via a methodical approach Build real-world end-to-end MLOps solutions and generative AI applications on Google Cloud Get your hands on a code repository with over 20 hands-on projects for all stages of the ML model development lifecycle Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMost companies today are incorporating AI/ML into their businesses. Building and running apps utilizing AI/ML effectively is tough. This book, authored by a principal architect with about two decades of industry experience, who has led cross-functional teams to design, plan, implement, and govern enterprise cloud strategies, shows you exactly how to design and run AI/ML workloads successfully using years of experience from some of the world’s leading tech companies. You’ll get a clear understanding of essential fundamental AI/ML concepts, before moving on to complex topics with the help of examples and hands-on activities. This will help you explore advanced, cutting-edge AI/ML applications that address real-world use cases in today’s market. You’ll recognize the common challenges that companies face when implementing AI/ML workloads, and discover industry-proven best practices to overcome these. The chapters also teach you about the vast AI/ML landscape on Google Cloud and how to implement all the steps needed in a typical AI/ML project. You’ll use services such as BigQuery to prepare data; Vertex AI to train, deploy, monitor, and scale models in production; as well as MLOps to automate the entire process. By the end of this book, you will be able to unlock the full potential of Google Cloud's AI/ML offerings.What you will learn Build solutions with open-source offerings on Google Cloud, such as TensorFlow, PyTorch, and Spark Source, understand, and prepare data for ML workloads Build, train, and deploy ML models on Google Cloud Create an effective MLOps strategy and implement MLOps workloads on Google Cloud Discover common challenges in typical AI/ML projects and get solutions from experts Explore vector databases and their importance in Generative AI applications Uncover new Gen AI patterns such as Retrieval Augmented Generation (RAG), agents, and agentic workflows Who this book is for This book is for aspiring solutions architects looking to design and implement AI/ML solutions on Google Cloud. Although this book is suitable for both beginners and experienced practitioners, basic knowledge of Python and ML concepts is required. The book focuses on how AI/ML is used in the real world on Google Cloud. It briefly covers the basics at the beginning to establish a baseline for you, but it does not go into depth on the underlying mathematical concepts that are readily available in academic material.

Google Cloud Generative Ai Certification Guide

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