The Mind Play Study Guide

Begin your exploration into cloud computing by developing deep knowledge of cloud technologies, enhancing hands-on skills, and achieving proficiency in cloudKey FeaturesTeach yourself all about cloud computing with this easy-to-follow guideDevelop a well-rounded skillset—from fundamentals to data, machine learning, and securityWork on real life industrial projects, business use cases, and personal cloud career developmentPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionThis book is an all-inclusive guide for IT professionals to master cloud computing concepts by building a broad and deep cloud knowledge base, developing hands-on cloud skills, and achieving professional cloud certifications. If you're a beginner with basic computer hardware and software understanding, this book provides the means to transitions into a cloud computing career. Starting with a focus on the Amazon cloud, you'll be introduced to fundamental AWS cloud services, followed by advanced AWS cloud services in the domains of data, machine learning, and security. Next, you'll build proficiency in Microsoft Azure cloud and Google Cloud Platform (GCP) by examining the common attributes of the three clouds, differentiating their unique features, along with leveraging real-life cloud project implementations on these cloud platforms. Finally, you'll get guidance on cloud certifications and career development. Walking through this cloud computing book, you'll systematically establish a robust footing in AWS, Azure, and GCP, and emerge as a cloud-savvy professional, equipped with cloud certificates to validate your skills.What you will learnDevelop the core skills needed to work with cloud computing platforms such as AWS, Azure, and GCPGain proficiency in compute, storage, and networking services across multi-cloud and hybrid-cloud environmentsIntegrate cloud databases, big data, and machine learning services in multi-cloud environmentsDesign and develop data pipelines, encompassing data ingestion, storage, processing, and visualization in the cloudsImplement machine learning pipelines in multi-cloud environmentSecure cloud infrastructure ecosystems with advanced cloud security servicesWho this book is forWhether you're a beginner in cloud computing or an experienced professional seeking to expand your skills, this meticulously designed study book is for anyone in the information technology domain aiming to thrive in the realm of cloud computing. With this comprehensive roadmap, you'll have the tools to build a successful cloud computing career. Cover Title Page Copyright Dedication Foreword Contributors Table of Contents Preface Part 1: Learning about the Amazon Cloud Chapter 1: Amazon EC2 and Compute Services The history of computing The computer The data center The virtual machine The idea of cloud computing The computer evolution path Amazon Global Cloud infrastructure Building our first EC2 instances in the Amazon cloud Launching EC2 instances in the AWS cloud console Launching EC2 instances using CloudShell Logging in to the EC2 instances ELB and ASG AWS compute – from EC2 to containers to serverless Summary Practice questions Answers to the practice questions Further reading Chapter 2: Amazon Cloud Storage Services Understanding EBS Understanding EFS Understanding S3 Understanding Snowball and Snowmobile Accessing S3 from EC2 instances Summary Practice questions Answers to the practice questions Further reading Chapter 3: Amazon Networking Services Reviewing computer network basics IP address CIDR The internet Understanding Amazon Virtual Private Cloud Part one – creating a VPC with subnets Part two – Provisioning more cloud resources and connecting them together Part three – hardening AWS network security VPC firewalls VPC endpoints Understanding Amazon Direct Connect Understanding Amazon DNS – Route 53 Understanding the Amazon CDN Summary Practice questions Answers to the practice questions Further reading Chapter 4: Amazon Database Services Database basics Relational databases NoSQL databases In-memory cache databases Data warehouses Amazon RDS Amazon cloud NoSQL databases Amazon ElastiCache Amazon cloud data warehouse service Summary Practice questions Answers to the practice questions Further reading Chapter 5: Amazon Data Analytics Services Understanding the AWS big data pipeline AWS Glue Amazon Athena The Amazon Kinesis family Amazon QuickSight Amazon EMR MapReduce and Hadoop AWS EMR Summary Practice questions Answers to the practice questions Further reading Chapter 6: Amazon Machine Learning Services ML basics and ML pipelines ML problem framing Data collection and preparation Feature engineering ML model development ML model deployment, testing, and monitoring Amazon SageMaker DL basics Amazon computer vision solutions Amazon’s NLP solutions Amazon Comprehend Amazon Transcribe Amazon Polly Amazon Translate Amazon Lex Summary Practice questions Answers to the practice questions Further reading Chapter 7: Amazon Cloud Security Services Amazon cloud security model Amazon IAM IAM policies AWS infrastructure security AWS Organizations AWS resource security Amazon data encryption AWS logging, monitoring, and incident handling Case study – an AWS threat detection and incident handling ecosystem Automatic threat detection Automatic notification Automatic remediation Summary Practice questions Answers to the practice questions Further reading Part 2:Comprehending GCP Cloud Services Chapter 8: Google Cloud Foundation Services Google Cloud resource hierarchy Google Cloud compute Google Compute Engine Google Kubernetes Engine Google Cloud Storage Google Cloud networking Summary Practice questions Further reading Chapter 9: Google Cloud’s Database and Big Data Services Google Cloud database services Google Cloud SQL Google Cloud Spanner Google Cloud Firestore Google Cloud Bigtable Google Cloud Memorystore Google Cloud’s big data services Google Cloud Pub/Sub Google Cloud BigQuery Google Cloud Dataflow Google Cloud Dataproc Google Cloud Looker Summary Practice questions Answers to the practice questions Further reading Chapter 10: Google Cloud AI Services Google Cloud Vertex AI Vertex AI datasets Dataset labeling Vertex AI Feature Store Workbench and notebooks Vertex AI custom models Vertex Explainable AI Vertex AI prediction Vertex AI Model Monitoring Vertex AI Pipelines Vertex AI TensorBoard and Metadata Vertex AI AutoML Google Cloud ML APIs Sight API Conversational API Google Cloud generative AI services Summary Practice questions Answers to the practice questions Further reading Chapter 11: Google Cloud Security Services Google Cloud IAM Google Cloud users and groups Google Cloud service accounts Google Cloud IAM roles Google Cloud endpoint security GCE VM security GCS security Google Cloud network security Google Cloud data security Data classification and data lineage Data encryption GCP DLP Google Cloud Monitoring and Logging Google Cloud Security Command Center (SCC) SCC asset discovery SCC scan findings SCC integration with Cloud DLP SHA The latest SCC features Summary Practice questions Answers to the practice questions Further reading Part 3:Mastering Azure Cloud Services Chapter 12: Microsoft Azure Cloud Foundation Services Azure cloud resource hierarchy Azure cloud compute Azure cloud VMs Azure cloud container services Azure serverless computing Azure cloud storage Object storage File storage Block storage Archive storage Azure cloud networking Azure Cloud Foundation service implementation Summary Practice questions Answers to the practice questions Further reading Chapter 13: Azure Cloud Database and Big Data Services Azure cloud data storage Azure cloud databases Azure cloud relational databases Azure cloud NoSQL databases Azure’s cloud data warehouse Azure cloud big data services Azure ADF Azure HDInsight Azure Databricks Summary Practice questions Answers to the practice questions Further reading Chapter 14: Azure Cloud AI Services Azure ML workspaces Azure Cognitive Services Azure OpenAI Service Summary Practice questions Answers to the practice questions Further reading Chapter 15: Azure Cloud Security Services Azure cloud security best practices Azure Security Center Azure IAM Azure cloud VM protection Azure cloud network protection Azure data protection Azure cloud security reference architectures Azure hybrid cloud infrastructure Azure SIEM and SOAR An Azure cloud security case study Organizational infrastructure security Networking infrastructure security Palo Alto networks Summary Practice questions Answers to the practice questions Further reading Part 4:Developing a Successful Cloud Career Chapter 16: Achieving Cloud Certifications Reviewing the certification roadmaps AWS cloud certifications Google Cloud certifications Microsoft Azure Cloud certifications Developing cloud certification strategies Cloud certification exam practice questions Google Cloud Digital Leader certification Google Cloud Associate Engineer certification JencoBank case study Company overview Company background Solution concept The existing technical environment Application – Customer loyalty portal CEO statement CTO statement CFO statement Google Cloud Professional Security Engineer certification AWS Cloud Practitioner certification AWS Data Analytics certification Microsoft Azure AI Foundations certification Microsoft Azure AI Engineer certification Summary Further reading Chapter 17: Building a Successful Cloud Computing Career The cloud job market Soft cloud skills My cloud story 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