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Free Download PASS AWS Certified Cloud Practitioner, 100% Hand's On + Exam Published 10/2024 Created by Beyond Cloud.ai MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 176 Lectures ( 19h 38m ) | Size: 10.8 GB Aug 2024 - Pass Your AWS Certified Cloud Practitioner (CLF-C02) with Hand's On Knowledge + Practice Test. What you'll learn Anyone who wants to learn AWS Anyone who needs to not just pass AWS certificate by to learn AWS AWS Certificate based course AWS Certified Cloud Practitioner Requirements Need Credit Card To Create AWS Account Description Content outline This CLF-C02 exam guide includes weightings, content domains, and task statements for the exam. Refer to Appendix B for a comparison of the previous version (CLF-C01) and current version (CLF-C02) of the exam. This guide does not provide a comprehensive list of the content on the exam. However, additional context for each task statement is available to help you prepare for the exam. The exam has the following content domains and weightings: • Domain 1: Cloud Concepts (24% of scored content) Task Statement 1.1: Define the benefits of the AWS Cloud.Task Statement 1.2: Identify design principles of the AWS Cloud.Task Statement 1.3: Understand the benefits of and strategies for migration to the AWS Cloud.Task Statement 1.4: Understand concepts of cloud economics.• Domain 2: Security and Compliance (30% of scored content) Task Statement 2.1: Understand the AWS shared responsibility model.Task Statement 2.2: Understand AWS Cloud security, governance, and compliance concepts.Task Statement 2.3: Identify AWS access management capabilities.Task Statement 2.4: Identify components and resources for security.• Domain 3: Cloud Technology and Services (34% of scored content) Task Statement 3.1: Define methods of deploying and operating in the AWS Cloud.Task Statement 3.2: Define the AWS global infrastructure.Task Statement 3.3: Identify AWS compute services.Task Statement 3.4: Identify AWS database services.Task Statement 3.5: Identify AWS network services.Task Statement 3.6: Identify AWS storage services.Task Statement 3.7: Identify AWS artificial intelligence and machine learning (AI/ML) services and analytics services.Task Statement 3.8: Identify services from other in-scope AWS service categories.• Domain 4: Billing, Pricing, and Support (12% of scored content) Task Statement 4.1: Compare AWS pricing models.Task Statement 4.2: Understand resources for billing, budget, and cost management.Task Statement 4.3: Identify AWS technical resources and AWS Support options. 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Free Download Microsoft Azure Administration for AWS Administrators (2024) Released 10/2024 By Tim Warner MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 25m | Size: 199 MB If you work in Amazon Web Services, you will want to get productive in Microsoft Azure. This course teaches you how to map all of your AWS services to their Azure counterparts, and how to perform the most important AWS administrative tasks in Azure. If you are an Amazon Web Services (AWS) administrator, developer, or architect, the problem you face is that you need to transfer your knowledge to Microsoft Azure as quickly as possible. Welcome! In this course, Microsoft Azure Administration for AWS Administrators, you will learn how to get productive in Microsoft Azure. First, you will gain an understanding of how to map your AWS services to their Azure counterparts. Then, you will explore how to perform your most important AWS tasks in Azure. Finally, you will emerge from this course with a well-rounded understanding of the similarities and differences between AWS and Azure. By the end of this course, you will know how to map all your AWS services to their Azure counterparts, and how to perform the most important AWS administrative tasks in Azure. Homepage https://www.pluralsight.com/courses/azure-administration-aws-administrators-update Screenshot Rapidgator https://rg.to/file/4de61b47abc9b2cb61eb808973c69cd6/qoson.Microsoft.Azure.Administration.for.AWS.Administrators.2024.rar.html Fikper Free Download https://fikper.com/iOVJ8iSpo7/qoson.Microsoft.Azure.Administration.for.AWS.Administrators.2024.rar.html No Password - Links are Interchangeable

Free Download Mastering AI on AWS Training AWS Certified AI Practitioner Published 10/2024 Created by Vivian Aranha MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 60 Lectures ( 3h 59m ) | Size: 1.5 GB Building AI and Machine Learning Solutions with AWS Services: From Fundamentals to Certification Success What you'll learn Understand Key Concepts of AI and Machine Learning on AWS Master AWS AI and Machine Learning Services Build and Deploy AI-Powered Applications on AWS Prepare for the AWS Certified AI Practitioner Exam Requirements Basic Knowledge of Cloud Computing: Students should have a general understanding of cloud computing concepts and experience using AWS services, such as EC2, S3, or RDS Familiarity with Programming: A basic understanding of programming languages, especially Python, is recommended, as some hands-on labs will involve coding for machine learning and AI tasks. Understanding of Machine Learning Fundamentals (Optional but Beneficial): While the course will cover the basics of machine learning, having prior knowledge of key ML concepts (like algorithms, training, and model evaluation) will be helpful. AWS Account: Students will need an active AWS account to perform hands-on labs and practice with AWS AI and ML services. Description This comprehensive course, "Mastering AI on AWS: Training AWS Certified AI Practitioner" is designed to equip you with the knowledge and skills to excel in AI and machine learning using AWS services. Whether you're a cloud professional, developer, or AI enthusiast, this course will guide you through the fundamentals of AI and machine learning while providing hands-on experience with cutting-edge AWS AI services like Amazon SageMaker, Rekognition, Comprehend, Polly, and more.Starting with foundational concepts of AI and machine learning, you'll progress through practical labs, working with real-world applications such as image and video recognition, natural language processing, and recommendation systems. The course will also cover security best practices, responsible AI, and preparing for the AWS Certified AI Practitioner exam. By the end, you'll be ready to build, deploy, and monitor AI applications on AWS and confidently pass the certification exam.Through engaging lessons, hands-on projects, and practical exercises, this course ensures you develop both theoretical knowledge and practical skills to succeed in the growing field of AI and machine learning.What you'll learn:Fundamental concepts of AI, machine learning, and AWS AI services.How to build and deploy AI applications using Amazon SageMaker, Rekognition, Comprehend, Polly, and more.Best practices for securing AI and machine learning workflows on AWS.How to prepare for and pass the AWS Certified AI Practitioner exam. Who this course is for:Cloud professionals wanting to expand into AI/ML.AI/ML enthusiasts looking to gain practical skills using AWS services.Aspiring data scientists and developers seeking to implement real-world AI solutions.Students and professionals preparing for the AWS Certified AI Practitioner exam. Who this course is for Cloud Professionals Seeking to Expand into AI/ML: Cloud engineers, architects, and developers who are familiar with AWS and want to build a foundation in AI and machine learning technologies using AWS services. AI and Machine Learning Enthusiasts: Individuals interested in learning the fundamentals of AI and machine learning, and how to apply these technologies in real-world scenarios using AWS. Aspiring Data Scientists and ML Engineers: Beginner data scientists and machine learning engineers looking to gain hands-on experience with AWS AI services, such as Amazon SageMaker, and learn how to build, deploy, and manage AI models on the cloud. Business Analysts and Decision Makers: Professionals who want to understand the capabilities of AI and ML on AWS in order to make informed decisions, manage AI projects, and leverage AI technologies to solve business problems. Students Preparing for AWS AI Certification: Anyone preparing for the AWS Certified AI Practitioner exam who needs structured learning materials, practice labs, and exam preparation resources to ensure success. Tech Professionals Looking to Upskill: IT professionals, developers, and cloud practitioners who want to enhance their career prospects by gaining AI and machine learning skills in a cloud environment. 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Free Download Master AWS DynamoDB with JavaScript A Beginner's Guide Published 10/2024 Created by Clive Sargeant MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 309 Lectures ( 17h 14m ) | Size: 11.6 GB Learn to build powerful, serverless applications with AWS DynamoDB and JavaScript, from the ground up-perfect for beginn What you'll learn Use DynamoDB advanced features like condition expressions, transactions, and batch operations to build efficient data-driven applications. Understand core DynamoDB concepts like tables, items, and indexes, and how to use them effectively in JavaScript applications. Perform CRUD operations on DynamoDB tables using the AWS SDK for JavaScript in both browser and Nodejs environments. Implement AWS Cognito and IAM roles to authenticate users and control access to DynamoDB resources in a secure manner. Requirements You will need a basic understanding of Javascript and have an AWS account Description AWS DynamoDB and JavaScript for Beginners is a comprehensive and beginner-friendly course designed to teach you how to build scalable, serverless applications using AWS DynamoDB and JavaScript. Whether you're just starting out in web development or have some coding experience, this course will provide you with the foundational skills to integrate DynamoDB into your JavaScript projects.You will begin by understanding core DynamoDB concepts such as tables, items, primary keys, and indexes. Through hands-on projects, you'll master how to perform CRUD (Create, Read, Update, Delete) operations using the AWS SDK for JavaScript, in both browser and Node.js environments. The course also covers data modeling and best practices for designing efficient, high-performance applications.As security is a critical aspect of any cloud application, this course will guide you through integrating AWS Cognito for user authentication and role-based access control. You'll learn how to manage permissions effectively, ensuring your DynamoDB tables are secure.Beyond the basics, you'll dive into more advanced topics, such as condition expressions, batch writes, and transactional operations. By the end of the course, you'll be able to implement these features to build robust, real-world applications.Whether you're aiming to enhance your skill set as a developer or start a career in cloud computing, this course will provide you with the tools and confidence to work with AWS DynamoDB and JavaScript effectively. Who this course is for This course is designed for beginner to intermediate JavaScript developers who want to learn how to integrate AWS DynamoDB into their web applications. It is ideal for those who are familiar with basic web development concepts and want to expand their skill set by building serverless applications or data-driven projects using DynamoDB. It is also suitable for developers interested in learning how to secure and scale their apps with AWS services like Cognito and DynamoDB, but who are new to cloud databases and AWS SDK integration. 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Free Download Governance and Security with AWS Lambda Functions Released 10/2024 By Craig Arcuri MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 6m | Size: 160 MB AWS Lambda functions need to comply with AWS standards for security and governance. This course will teach you how to configure Lambda functions with the appropriate levels of security and implement controls to govern those functions. AWS Lambda functions are software and require a software development skill set, but implementing these functions in a secure environment requires a separate set of skills. Additionally, these functions need to comply with governance guidelines set forth by your organization. In this course, Governance and Security with AWS Lambda Functions, you'll learn to safely and securely deploy Lambda functions that meet necessary governance guidelines. First, you'll explore how to configure a Lambda Execution Role to define Lambda function permissions. Next, you will learn about Lambda policies, both attribute-based and resource-based roles for Lambda functions, and how to secure the data associated with your Lambda functions using security and encryption techniques. Finally, you'll learn about implementing governance controls for Lambda functions both proactively and reactively. When you're finished with this course, you'll have the skills and knowledge needed to deploy secure Lambda functions that comply with the governance posture of your organization. Homepage https://www.pluralsight.com/courses/aws-lambda-functions-governance-security Screenshot Rapidgator https://rg.to/file/9b6ed4ac9933f64c3fb7a722d068fef5/zpbwo.Governance.and.Security.with.AWS.Lambda.Functions.rar.html Fikper Free Download https://fikper.com/ePYvgwk7Qk/zpbwo.Governance.and.Security.with.AWS.Lambda.Functions.rar.html No Password - Links are Interchangeable

Free Download Data Engineering using AWS Data Analytics Last updated 2/2023 Created by Durga Viswanatha Raju Gadiraju,Pratik Kumar,Sathvika Dandu,Madhuri Gadiraju,Sai Varma,Phani Bhushan Bozzam MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 434 Lectures ( 26h 15m ) | Size: 7.77 GB Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift What you'll learn Data Engineering leveraging Services under AWS Data Analytics AWS Essentials such as s3, IAM, EC2, etc Understanding AWS s3 for cloud based storage Understanding details related to virtual machines on AWS known as EC2 Managing AWS IAM users, groups, roles and policies for RBAC (Role Based Access Control) Managing Tables using AWS Glue Catalog Engineering Batch Data Pipelines using AWS Glue Jobs Orchestrating Batch Data Pipelines using AWS Glue Workflows Running Queries using AWS Athena - Server less query engine service Using AWS Elastic Map Reduce (EMR) Clusters for building Data Pipelines Using AWS Elastic Map Reduce (EMR) Clusters for reports and dashboards Data Ingestion using AWS Lambda Functions Scheduling using AWS Events Bridge Engineering Streaming Pipelines using AWS Kinesis Streaming Web Server logs using AWS Kinesis Firehose Overview of data processing using AWS Athena Running AWS Athena queries or commands using CLI Running AWS Athena queries using Python boto3 Creating AWS Redshift Cluster, Create tables and perform CRUD Operations Copy data from s3 to AWS Redshift Tables Understanding Distribution Styles and creating tables using Distkeys Running queries on external RDBMS Tables using AWS Redshift Federated Queries Running queries on Glue or Athena Catalog tables using AWS Redshift Spectrum Requirements A Computer with at least 8 GB RAM Programming Experience using Python is highly desired as some of the topics are demonstrated using Python SQL Experience is highly desired as some of the topics are demonstrated using SQL Nice to have Data Engineering Experience using Pandas or Pyspark This course is ideal for experienced data engineers to add AWS Analytics Services as key skills to their profile Description Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Analytics Stack. It includes services such as Glue, Elastic Map Reduce (EMR), Lambda Functions, Athena, EMR, Kinesis, and many more.Here are the high-level steps which you will follow as part of the course.Setup Development EnvironmentGetting Started with AWSStorage - All about AWS s3 (Simple Storage Service)User Level Security - Managing Users, Roles, and Policies using IAMInfrastructure - AWS EC2 (Elastic Cloud Compute)Data Ingestion using AWS Lambda FunctionsOverview of AWS Glue ComponentsSetup Spark History Server for AWS Glue JobsDeep Dive into AWS Glue CatalogExploring AWS Glue Job APIsAWS Glue Job BookmarksDevelopment Life Cycle of PysparkGetting Started with AWS EMRDeploying Spark Applications using AWS EMRStreaming Pipeline using AWS KinesisConsuming Data from AWS s3 using boto3 ingested using AWS KinesisPopulating GitHub Data to AWS DynamodbOverview of Amazon AWS AthenaAmazon AWS Athena using AWS CLIAmazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftCopy Data from AWS s3 into AWS Redshift TablesDevelop Applications using AWS Redshift ClusterAWS Redshift Tables with Distkeys and SortkeysAWS Redshift Federated Queries and SpectrumHere are the details about what you will be learning as part of this course. We will cover most of the commonly used services with hands-on practice which are available under AWS Data Analytics.Getting Started with AWSAs part of this section, you will be going through the details related to getting started with AWS.Introduction - AWS Getting StartedCreate s3 BucketCreate AWS IAM Group and AWS IAM User to have required access on s3 Bucket and other servicesOverview of AWS IAM RolesCreate and Attach Custom AWS IAM Policy to both AWS IAM Groups as well as UsersConfigure and Validate AWS CLI to access AWS Services using AWS CLI CommandsStorage - All about AWS s3 (Simple Storage Service)AWS s3 is one of the most prominent fully managed AWS services. All IT professionals who would like to work on AWS should be familiar with it. We will get into quite a few common features related to AWS s3 in this section.Getting Started with AWS S3Setup Data Set locally to upload to AWS s3Adding AWS S3 Buckets and Managing Objects (files and folders) in AWS s3 bucketsVersion Control for AWS S3 BucketsCross-Region Replication for AWS S3 BucketsOverview of AWS S3 Storage ClassesOverview of AWS S3 GlacierManaging AWS S3 using AWS CLI CommandsManaging Objects in AWS S3 using CLI - LabUser Level Security - Managing Users, Roles, and Policies using IAMOnce you start working on AWS, you need to understand the permissions you have as a non-admin user. As part of this section, you will understand the details related to AWS IAM users, groups, roles as well as policies.Creating AWS IAM UsersLogging into AWS Management Console using AWS IAM UserValidate Programmatic Access to AWS IAM UserAWS IAM Identity-based PoliciesManaging AWS IAM GroupsManaging AWS IAM RolesOverview of Custom AWS IAM PoliciesManaging AWS IAM users, groups, roles as well as policies using AWS CLI CommandsInfrastructure - AWS EC2 (Elastic Cloud Compute) BasicsAWS EC2 Instances are nothing but virtual machines on AWS. As part of this section, we will go through some of the basics related to AWS EC2 Basics.Getting Started with AWS EC2Create AWS EC2 Key PairLaunch AWS EC2 InstanceConnecting to AWS EC2 InstanceAWS EC2 Security Groups BasicsAWS EC2 Public and Private IP AddressesAWS EC2 Life CycleAllocating and Assigning AWS Elastic IP AddressManaging AWS EC2 Using AWS CLIUpgrade or Downgrade AWS EC2 InstancesInfrastructure - AWS EC2 AdvancedIn this section, we will continue with AWS EC2 to understand how we can manage EC2 instances using AWS Commands and also how to install additional OS modules leveraging bootstrap scripts.Getting Started with AWS EC2Understanding AWS EC2 MetadataQuerying on AWS EC2 MetadataFitering on AWS EC2 MetadataUsing Bootstrapping Scripts with AWS EC2 Instances to install additional softwares on AWS EC2 instancesCreate an AWS AMI using AWS EC2 InstancesValidate AWS AMI - LabData Ingestion using Lambda FunctionsAWS Lambda functions are nothing but serverless functions. In this section, we will understand how we can develop and deploy Lambda functions using Python as a programming language. We will also see how to maintain a bookmark or checkpoint using s3.Hello World using AWS LambdaSetup Project for local development of AWS Lambda FunctionsDeploy Project to AWS Lambda consoleDevelop download functionality using requests for AWS Lambda FunctionsUsing 3rd party libraries in AWS Lambda FunctionsValidating AWS s3 access for local development of AWS Lambda FunctionsDevelop upload functionality to s3 using AWS Lambda FunctionsValidating AWS Lambda Functions using AWS Lambda ConsoleRun AWS Lambda Functions using AWS Lambda ConsoleValidating files incrementally downloaded using AWS Lambda FunctionsReading and Writing Bookmark to s3 using AWS Lambda FunctionsMaintaining Bookmark on s3 using AWS Lambda FunctionsReview the incremental upload logic developed using AWS Lambda FunctionsDeploying AWS Lambda FunctionsSchedule AWS Lambda Functions using AWS Event BridgeOverview of AWS Glue ComponentsIn this section, we will get a broad overview of all important Glue Components such as Glue Crawler, Glue Databases, Glue Tables, etc. We will also understand how to validate Glue tables using AWS Athena. AWS Glue (especially Glue Catalog) is one of the key components in the realm of AWS Data Analytics Services.Introduction - Overview of AWS Glue ComponentsCreate AWS Glue Crawler and AWS Glue Catalog Database as well as TableAnalyze Data using AWS AthenaCreating AWS S3 Bucket and Role to create AWS Glue Catalog Tables using Crawler on the s3 locationCreate and Run the AWS Glue Job to process data in AWS Glue Catalog TablesValidate using AWS Glue Catalog Table and by running queries using AWS AthenaCreate and Run AWS Glue TriggerCreate AWS Glue WorkflowRun AWS Glue Workflow and ValidateSetup Spark History Server for AWS Glue JobsAWS Glue uses Apache Spark under the hood to process the data. It is important we setup Spark History Server for AWS Glue Jobs to troubleshoot any issues.Introduction - Spark History Server for AWS GlueSetup Spark History Server on AWSClone AWS Glue Samples repositoryBuild AWS Glue Spark UI ContainerUpdate AWS IAM Policy PermissionsStart AWS Glue Spark UI ContainerDeep Dive into AWS Glue CatalogAWS Glue has several components, but the most important ones are nothing but AWS Glue Crawlers, Databases as well as Catalog Tables. In this section, we will go through some of the most important and commonly used features of the AWS Glue Catalog.Prerequisites for AWS Glue Catalog TablesSteps for Creating AWS Glue Catalog TablesDownload Data Set to use to create AWS Glue Catalog TablesUpload data to s3 to crawl using AWS Glue Crawler to create required AWS Glue Catalog TablesCreate AWS Glue Catalog Database - itvghlandingdbCreate AWS Glue Catalog Table - ghactivityRunning Queries using AWS Athena - ghactivityCrawling Multiple Folders using AWS Glue CrawlersManaging AWS Glue Catalog using AWS CLIManaging AWS Glue Catalog using Python Boto3Exploring AWS Glue Job APIsOnce we deploy AWS Glue jobs, we can manage them using AWS Glue Job APIs. In this section we will get overview of AWS Glue Job APIs to run and manage the jobs.Update AWS IAM Role for AWS Glue JobGenerate baseline AWS Glue JobRunning baseline AWS Glue JobAWS Glue Script for Partitioning DataValidating using AWS AthenaUnderstanding AWS Glue Job BookmarksAWS Glue Job Bookmarks can be leveraged to maintain the bookmarks or checkpoints for incremental loads. In this section, we will go through the details related to AWS Glue Job Bookmarks.Introduction to AWS Glue Job BookmarksCleaning up the data to run AWS Glue JobsOverview of AWS Glue CLI and CommandsRun AWS Glue Job using AWS Glue BookmarkValidate AWS Glue Bookmark using AWS CLIAdd new data to the landing zone to run AWS Glue Jobs using BookmarksRerun AWS Glue Job using BookmarkValidate AWS Glue Job Bookmark and Files for Incremental runRecrawl the AWS Glue Catalog Table using AWS CLI CommandsRun AWS Athena Queries for Data ValidationDevelopment Lifecycle for PysparkIn this section, we will focus on the development of Spark applications using Pyspark. We will use this application later while exploring EMR in detail.Setup Virtual Environment and Install PysparkGetting Started with PycharmPassing Run Time ArgumentsAccessing OS Environment VariablesGetting Started with SparkCreate Function for Spark SessionSetup Sample DataRead data from filesProcess data using Spark APIsWrite data to filesValidating Writing Data to FilesProductionizing the CodeGetting Started with AWS EMR (Elastic Map Reduce)As part of this section, we will understand how to get started with AWS EMR Cluster. We will primarily focus on AWS EMR Web Console. Elastic Map Reduce is one of the key service in AWS Data Analytics Services which provide capability to run applications which process large scale data leveraging distributed computing frameworks such as Spark.Planning for AWS EMR ClusterCreate AWS EC2 Key Pair for AWS EMR ClusterSetup AWS EMR Cluster with Apache SparkUnderstanding Summary of AWS EMR ClusterReview AWS EMR Cluster Application User InterfacesReview AWS EMR Cluster MonitoringReview AWS EMR Cluster Hardware and Cluster Scaling PolicyReview AWS EMR Cluster ConfigurationsReview AWS EMR Cluster EventsReview AWS EMR Cluster StepsReview AWS EMR Cluster Bootstrap ActionsConnecting to AWS EMR Master Node using SSHDisabling Termination Protection for AWS EMR Cluster and Terminating the AWS EMR ClusterClone and Create a New AWS EMR ClusterListing AWS S3 Buckets and Objects using AWS CLI on AWS EMR ClusterListing AWS S3 Buckets and Objects using HDFS CLI on AWS EMR ClusterManaging Files in AWS S3 using HDFS CLI on AWS EMR ClusterReview AWS Glue Catalog Databases and TablesAccessing AWS Glue Catalog Databases and Tables using AWS EMR ClusterAccessing spark-sql CLI of AWS EMR ClusterAccessing pyspark CLI of AWS EMR ClusterAccessing spark-shell CLI of AWS EMR ClusterCreate AWS EMR Cluster for NotebooksDeploying Spark Applications using AWS EMRAs part of this section, we will understand how we typically deploy Spark Applications using AWS EMR. We will be using the Spark Application we deployed earlier.Deploying Applications using AWS EMR - IntroductionSetup AWS EMR Cluster to deploy applicationsValidate SSH Connectivity to Master node of AWS EMR ClusterSetup Jupyter Notebook Environment on AWS EMR ClusterCreate required AWS s3 Bucket for AWS EMR ClusterUpload GHActivity Data to s3 so that we can process using Spark Application deployed on AWS EMR ClusterValidate Application using AWS EMR Compatible Versions of Python and SparkDeploy Spark Application to AWS EMR Master NodeCreate user space for ec2-user on AWS EMR ClusterRun Spark Application using spark-submit on AWS EMR Master NodeValidate Data using Jupyter Notebooks on AWS EMR ClusterClone and Start Auto Terminated AWS EMR ClusterDelete Data Populated by GHAcitivity Application using AWS EMR ClusterDifferences between Spark Client and Cluster Deployment Modes on AWS EMR ClusterRunning Spark Application using Cluster Mode on AWS EMR ClusterOverview of Adding Pyspark Application as Step to AWS EMR ClusterDeploy Spark Application to AWS S3 to run using AWS EMR StepsRunning Spark Applications as AWS EMR Steps in client modeRunning Spark Applications as AWS EMR Steps in cluster modeValidate AWS EMR Step Execution of Spark ApplicationStreaming Data Ingestion Pipeline using AWS KinesisAs part of this section, we will go through details related to the streaming data ingestion pipeline using AWS Kinesis which is a streaming service of AWS Data Analytics Services. We will use AWS Kinesis Firehose Agent and AWS Kinesis Delivery Stream to read the data from log files and ingest it into AWS s3.Building Streaming Pipeline using AWS Kinesis Firehose Agent and Delivery StreamRotating Logs so that the files are created frequently which will be eventually ingested using AWS Kinesis Firehose Agent and AWS Kinesis Firehose Delivery StreamSet up AWS Kinesis Firehose Agent to get data from logs into AWS Kinesis Delivery Stream.Create AWS Kinesis Firehose Delivery StreamPlanning the Pipeline to ingest data into s3 using AWS Kinesis Delivery StreamCreate AWS IAM Group and User for Streaming Pipelines using AWS Kinesis ComponentsGranting Permissions to AWS IAM User using Policy for Streaming Pipelines using AWS Kinesis ComponentsConfigure AWS Kinesis Firehose Agent to read the data from log files and ingest it into AWS Kinesis Firehose Delivery Stream.Start and Validate AWS Kinesis Firehose AgentConclusion - Building Simple Steaming Pipeline using AWS Kinesis FirehoseConsuming Data from AWS s3 using Python boto3 ingested using AWS KinesisAs data is ingested into AWS S3, we will understand how data can ingested in AWS s3 can be processed using boto3.Customizing AWS s3 folder using AWS Kinesis Delivery StreamCreate AWS IAM Policy to read from AWS s3 BucketValidate AWS s3 access using AWS CLISetup Python Virtual Environment to explore boto3Validating access to AWS s3 using Python boto3Read Content from AWS s3 objectRead multiple AWS s3 ObjectsGet the number of AWS s3 Objects using MarkerGet the size of AWS s3 Objects using MarkerPopulating GitHub Data to AWS DynamodbAs part of this section, we will understand how we can populate data to AWS Dynamodb tables using Python as a programming language.Install required libraries to get GitHub Data to AWS Dynamodb tables.Understanding GitHub APIsSetting up GitHub API TokenUnderstanding GitHub Rate LimitCreate New Repository for sinceExtracting Required Information using PythonProcessing Data using PythonGrant Permissions to create AWS dynamodb tables using boto3Create AWS Dynamodb TablesAWS Dynamodb CRUD OperationsPopulate AWS Dynamodb TableAWS Dynamodb Batch OperationsOverview of Amazon AWS AthenaAs part of this section, we will understand how to get started with AWS Athena using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Athena Query Editor.Getting Started with Amazon AWS AthenaQuick Recap of AWS Glue Catalog Databases and TablesAccess AWS Glue Catalog Databases and Tables using AWS Athena Query EditorCreate a Database and Table using AWS AthenaPopulate Data into Table using AWS AthenaUsing CTAS to create tables using AWS AthenaOverview of Amazon AWS Athena ArchitectureAmazon AWS Athena Resources and relationship with HiveCreate a Partitioned Table using AWS AthenaDevelop Query for Partitioned ColumnInsert into Partitioned Tables using AWS AthenaValidate Data Partitioning using AWS AthenaDrop AWS Athena Tables and Delete Data FilesDrop Partitioned Table using AWS AthenaData Partitioning in AWS Athena using CTASAmazon AWS Athena using AWS CLIAs part of this section, we will understand how to interact with AWS Athena using AWS CLI Commands.Amazon AWS Athena using AWS CLI - IntroductionGet help and list AWS Athena databases using AWS CLIManaging AWS Athena Workgroups using AWS CLIRun AWS Athena Queries using AWS CLIGet AWS Athena Table Metadata using AWS CLIRun AWS Athena Queries with a custom location using AWS CLIDrop AWS Athena table using AWS CLIRun CTAS under AWS Athena using AWS CLIAmazon AWS Athena using Python boto3As part of this section, we will understand how to interact with AWS Athena using Python boto3.Amazon AWS Athena using Python boto3 - IntroductionGetting Started with Managing AWS Athena using Python boto3List Amazon AWS Athena Databases using Python boto3List Amazon AWS Athena Tables using Python boto3Run Amazon AWS Athena Queries with boto3Review AWS Athena Query Results using boto3Persist Amazon AWS Athena Query Results in Custom Location using boto3Processing AWS Athena Query Results using PandasRun CTAS against Amazon AWS Athena using Python boto3Getting Started with Amazon AWS RedshiftAs part of this section, we will understand how to get started with AWS Redshift using AWS Web console. We will also focus on basic DDL and DML or CRUD Operations using AWS Redshift Query Editor.Getting Started with Amazon AWS Redshift - IntroductionCreate AWS Redshift Cluster using Free TrialConnecting to Database using AWS Redshift Query EditorGet a list of tables querying information schemaRun Queries against AWS Redshift Tables using Query EditorCreate AWS Redshift Table using Primary KeyInsert Data into AWS Redshift TablesUpdate Data in AWS Redshift TablesDelete data from AWS Redshift tablesRedshift Saved Queries using Query EditorDeleting AWS Redshift ClusterRestore AWS Redshift Cluster from SnapshotCopy Data from s3 into AWS Redshift TablesAs part of this section, we will go through the details about copying data from s3 into AWS Redshift tables using the AWS Redshift Copy command.Copy Data from s3 to AWS Redshift - IntroductionSetup Data in s3 for AWS Redshift CopyCopy Database and Table for AWS Redshift Copy CommandCreate IAM User with full access on s3 for AWS Redshift CopyRun Copy Command to copy data from s3 to AWS Redshift TableTroubleshoot Errors related to AWS Redshift Copy CommandRun Copy Command to copy from s3 to AWS Redshift tableValidate using queries against AWS Redshift TableOverview of AWS Redshift Copy CommandCreate IAM Role for AWS Redshift to access s3Copy Data from s3 to AWS Redshift table using IAM RoleSetup JSON Dataset in s3 for AWS Redshift Copy CommandCopy JSON Data from s3 to AWS Redshift table using IAM RoleDevelop Applications using AWS Redshift ClusterAs part of this section, we will understand how to develop applications against databases and tables created as part of AWS Redshift Cluster.Develop application using AWS Redshift Cluster - IntroductionAllocate Elastic Ip for AWS Redshift ClusterEnable Public Accessibility for AWS Redshift ClusterUpdate Inbound Rules in Security Group to access AWS Redshift ClusterCreate Database and User in AWS Redshift ClusterConnect to the database in AWS Redshift using psqlChange Owner on AWS Redshift TablesDownload AWS Redshift JDBC Jar fileConnect to AWS Redshift Databases using IDEs such as SQL WorkbenchSetup Python Virtual Environment for AWS RedshiftRun Simple Query against AWS Redshift Database Table using PythonTruncate AWS Redshift Table using PythonCreate IAM User to copy from s3 to AWS Redshift TablesValidate Access of IAM User using Boto3Run AWS Redshift Copy Command using PythonAWS Redshift Tables with Distkeys and SortkeysAs part of this section, we will go through AWS Redshift-specific features such as distribution keys and sort keys to create AWS Redshift tables.AWS Redshift Tables with Distkeys and Sortkeys - IntroductionQuick Review of AWS Redshift ArchitectureCreate multi-node AWS Redshift ClusterConnect to AWS Redshift Cluster using Query EditorCreate AWS Redshift DatabaseCreate AWS Redshift Database UserCreate AWS Redshift Database SchemaDefault Distribution Style of AWS Redshift TableGrant Select Permissions on Catalog to AWS Redshift Database UserUpdate Search Path to query AWS Redshift system tablesValidate AWS Redshift table with DISTSTYLE AUTOCreate AWS Redshift Cluster from Snapshot to the original stateOverview of Node Slices in AWS Redshift ClusterOverview of Distribution Styles related to AWS Redshift tablesDistribution Strategies for retail tables in AWS Redshift DatabasesCreate AWS Redshift tables with distribution style allTroubleshoot and Fix Load or Copy ErrorsCreate AWS Redshift Table with Distribution Style AutoCreate AWS Redshift Tables using Distribution Style KeyDelete AWS Redshift Cluster with a manual snapshotAWS Redshift Federated Queries and SpectrumAs part of this section, we will go through some of the advanced features of Redshift such as AWS Redshift Federated Queries and AWS Redshift Spectrum.AWS Redshift Federated Queries and Spectrum - IntroductionOverview of integrating AWS RDS and AWS Redshift for Federated QueriesCreate IAM Role for AWS Redshift ClusterSetup Postgres Database Server for AWS Redshift Federated QueriesCreate tables in Postgres Database for AWS Redshift Federated QueriesCreating Secret using Secrets Manager for Postgres DatabaseAccessing Secret Details using Python Boto3Reading Json Data to Dataframe using PandasWrite JSON Data to AWS Redshift Database Tables using PandasCreate AWS IAM Policy for Secret and associate with Redshift RoleCreate AWS Redshift Cluster using AWS IAM Role with permissions on secretCreate AWS Redshift External Schema to Postgres DatabaseUpdate AWS Redshift Cluster Network Settings for Federated QueriesPerforming ETL using AWS Redshift Federated QueriesClean up resources added for AWS Redshift Federated QueriesGrant Access on AWS Glue Data Catalog to AWS Redshift Cluster for SpectrumSetup AWS Redshift Clusters to run queries using SpectrumQuick Recap of AWS Glue Catalog Database and Tables for AWS Redshift SpectrumCreate External Schema using AWS Redshift SpectrumRun Queries using AWS Redshift SpectrumCleanup the AWS Redshift Cluster Who this course is for Beginner or Intermediate Data Engineers who want to learn AWS Analytics Services for Data Engineering Intermediate Application Engineers who want to explore Data Engineering using AWS Analytics Services Data and Analytics Engineers who want to learn Data Engineering using AWS Analytics Services Testers who want to learn key skills to test Data Engineering applications built using AWS Analytics Services Homepage https://www.udemy.com/course/data-engineering-using-aws-analytics-services/ Screenshot Rapidgator https://rg.to/file/2920699636897ec371102bdb027e8885/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://rg.to/file/2b9aa74769b487eaaedd3eec96345e51/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html https://rg.to/file/45d0ce3bc16db1d6999d3e6f18531e4c/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://rg.to/file/d29ebd836544f98050324f6aa8bef726/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://rg.to/file/d6f9f7479e24d0907c1621c594edb1fc/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://rg.to/file/e60b71f472370ab29b7e10f24d6cbe91/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://rg.to/file/e7a08371221bd4424901c60b4e7c8dd4/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://rg.to/file/ef32aa5500311afe27cc6fad7604a04d/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html Fikper Free Download https://fikper.com/1gyNST3T5B/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part02.rar.html https://fikper.com/BbGZKWTfP1/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part01.rar.html https://fikper.com/DJBmRaMzGu/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part03.rar.html https://fikper.com/SXxm2gI5gG/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part08.rar.html https://fikper.com/V3HWO9bEX3/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part05.rar.html https://fikper.com/m68l9B0z0U/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part06.rar.html https://fikper.com/yW1sDrNVjo/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part07.rar.html https://fikper.com/zvCGisvXzn/nwnrk.Data.Engineering.using.AWS.Data.Analytics.part04.rar.html No Password - 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Free Download CRASH COURSE 101 - Intro to AWS & AWS Amplify for Beginners Published 10/2024 Created by Nicholas Ke MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 28 Lectures ( 3h 6m ) | Size: 2.36 GB Crash course 101 to AWS Amplify, No-coding experience required What you'll learn Understanding AWS Amplify Basics: Gain a foundational knowledge of AWS Amplify, its purpose, and how it simplifies app development by abstracting backend comple Building Full-Stack Applications: Learn to create full-stack web and mobile applications using AWS Amplify with minimal backend knowledge, focusing on frontend User Authentication: Master user authentication processes using Amazon Cognito, enabling secure sign-up and sign-in functionalities in applications Data Management: Develop skills in managing data through AWS Amplify's datastore and GraphQL API, including performing CRUD (Create, Read, Update, Delete) opera Requirements No programming or prior technical knowledge Description A hands-on guide and course to AWS Amplify and full-stack development with no-coding experience required. A 101 approach giving you the most concrete and explicit examples and tools that you need in a cut-throat no-fluff manner. In this module we will answer core questions that every new beginner has. What is even an API? What is no-code development? What is app design? What is visual development? Why do we need to store local files on our computer before 'pushing' to the cloud? What is a data schema? Why do I need a data schema? What is AWS? Example Topics- Basics to AWS and Web Development - Designing with AWS- What is visual development ? - What is an API ? - Integrating core development components on the cloud- Creating Data Schemes - Using the UI Library in Amplify- Building an App Use-cases and case studies throughout the course will show you in a hands-on tangible way how individual components and elements are used together to formulate an 'app'. How do all these components work together on AWS to run an application? These are the questions that are answered in this module, giving you all the concrete detail and tools that you need to start your first application. This course provides you with the 360 view of the big picture that you need to understand what is going on, along with specific and detailed examples for each tool and element. Most important, you don't need any coding experience, or even need to understand coding from a visual standpoint. We've got all your bases covered from beginning to big outside-of-the-box examples. Who this course is for This is a course intended for non-technical beginners with no knowledge of any coding or development experience looking to gain hands-on experience. Homepage https://www.udemy.com/course/crash-course-101-intro-to-aws-amplify-for-beginners/ Screenshot Rapidgator https://rg.to/file/79e572c1ffa77adc51d816ca14f186b0/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part2.rar.html https://rg.to/file/9fc6976fc64b4d973175868565b5609a/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part3.rar.html https://rg.to/file/abfa7afdfb9de51683a9dc71cf7293ed/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part1.rar.html Fikper Free Download https://fikper.com/JJnltlyXNN/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part3.rar.html https://fikper.com/YWIs1Tw5XE/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part1.rar.html https://fikper.com/zBGtin4TI4/lpwic.CRASH.COURSE.101.Intro.to.AWS..AWS.Amplify.for.Beginners.part2.rar.html No Password - Links are Interchangeable

Free Download AWS Crash Course | Job Interview| World's 1st QnA Style 2024 Published 10/2024 Created by Karan Gupta MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 197 Lectures ( 14h 30m ) | Size: 6.8 GB 100% Guaranteed Job Prep Series | 200+ questions with Practicals prepared with AWS employees for Freshers to Experience What you'll learn Answer tricky AWS certification exam questions. Explain AWS storage solutions like S3 buckets. Understand EC2 instance types and use cases. Learn AWS networking fundamentals. Tackle common database questions about RDS. Understand serverless computing with Lambda. Explain AWS monitoring tools and alerts. Handle AWS pricing and cost questions. Describe load balancing and auto-scaling. Answer questions about AWS backup strategies. Explain AWS disaster recovery options. Answer questions about AWS global infrastructure. Requirements No prior AWS experience needed - perfect for beginners. Basic IT knowledge is helpful but not mandatory. Just bring your willingness to learn cloud concepts. Any computer with internet access will work. No coding experience required. Open to students of all professional backgrounds. No specific software installation needed. Study at your own pace - no time restrictions. No certification prerequisites required. Suitable for complete beginners to cloud computing. Description Master AWS Interview Questions: Your Complete Guide to Cloud SuccessAre you ready to ace your AWS cloud interview? This comprehensive course prepares you for real-world AWS job interviews by covering the most frequently asked questions across all major AWS services. Whether you're a beginner or an experienced professional, this course will boost your confidence and interview performance.What makes this course unique:Practice with real interview scenariosClear, easy-to-understand explanationsCoverage of latest AWS servicesFocus on both technical and architectural questionsNo prior AWS experience requiredInside this course, you'll find:Common interview questions and best answersArchitecture discussion strategiesSecurity best practicesCost optimization techniquesReal-world scenario solutionsPerformance troubleshooting tipsPerfect for:Job seekers targeting AWS positionsIT professionals transitioning to cloudRecent graduates starting their cloud journeyExperienced developers expanding their skillsAnyone interested in AWS careersBy the end of this course, you'll be able to:Confidently answer AWS technical questionsExplain complex cloud concepts simplyDemonstrate AWS architecture knowledgeShare best practices for AWS implementationsHandle scenario-based interview questionsStart your journey to AWS career success today! With no prerequisites and lifetime access, this course is your perfect companion for AWS interview preparation.Join thousands of successful students who have transformed their interview performance through this practical, comprehensive course. Who this course is for Job seekers preparing for AWS cloud positions. College graduates looking to start a cloud career. IT professionals wanting to switch to cloud roles. Current AWS Associate and practitioners preparing for interviews. Software developers exploring cloud opportunities. System administrators transitioning to cloud. Students interested in learning about AWS. Business professionals curious about cloud technology. Certification candidates needing interview practice. Career changers entering the tech field. Entrepreneurs wanting to understand cloud basics. Remote workers seeking cloud job opportunities. Anyone interested in starting an AWS career. Tech enthusiasts of all experience levels. 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Free Download AWS Certified Solutions Architect - Professional (2024) Published 10/2024 Created by Deepak Dubey MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 159 Lectures ( 43h 57m ) | Size: 17.9 GB Master AWS architecture: Optimize complex solutions, migrate workloads, and design for reliability and cost-efficiency What you'll learn Design complex, multi-account AWS environments that meet organizational requirements for security, governance, and cost optimization Architect highly available and fault-tolerant systems across multiple Availability Zones and Regions using AWS best practices Develop comprehensive migration strategies for moving on-premises workloads to AWS, including application and database migrations Implement advanced security controls and compliance measures at scale, including identity management and data encryption strategies Optimize existing AWS solutions for performance, cost, and operational excellence using monitoring tools and architectural best practices Requirements At least 2 years of hands-on experience with AWS services and architectures AWS Certified Solutions Architect - Associate certification or equivalent knowledge Familiarity with enterprise IT concepts like networking, security, and databases Experience with at least one high-level programming language Description Elevate your AWS expertise to the professional level with this comprehensive course designed for the AWS Certified Solutions Architect - Professional (SAP-C02) exam. Whether you're an experienced Solutions Architect looking to validate your skills or an ambitious cloud professional aiming to advance your career, this course provides the in-depth knowledge and practical insights you need to succeed.Throughout this course, you'll master the advanced concepts and skills required to design optimized AWS solutions based on the AWS Well-Architected Framework. We'll dive deep into four critical domains:Designing Solutions for Organizational Complexity: Learn to architect sophisticated network connectivity strategies, implement robust security controls, and design reliable, resilient architectures for complex enterprise environments.Designing New Solutions: Develop the skills to create deployment strategies that meet business requirements, ensure business continuity, and optimize for performance and cost-effectiveness.Continuous Improvement for Existing Solutions: Master techniques to enhance operational excellence, bolster security, improve performance, and increase reliability in existing AWS deployments.Accelerating Workload Migration and Modernization: Gain expertise in selecting workloads for migration, determining optimal migration approaches, and identifying opportunities for modernization and enhancement.Key topics covered include:Advanced AWS networking concepts and hybrid architecturesMulti-account AWS environments and AWS OrganizationsDisaster recovery strategies and business continuity planningSecurity best practices and compliance in the cloudPerformance optimization and cost managementServerless and container-based architecturesData migration strategies and toolsApplication modernization and cloud-native designsThrough a combination of lectures, real-world scenarios, and hands-on labs, you'll gain practical experience working with a wide range of AWS services. You'll learn to make architectural decisions that balance functional requirements with cost, security, and performance considerations.By the end of this course, you'll have the knowledge and confidence to:Design and deploy scalable, highly available, and fault-tolerant systems on AWSImplement cost-effective solutions that optimize performance and resource utilizationMigrate complex, multi-tier applications to AWSImplement security controls and ensure compliance at scaleDesign for large-scale data processing and analyticsThis course aligns with the latest SAP-C02 exam guide, covering all required knowledge areas and skills. Whether you're preparing for the certification exam or looking to enhance your real-world AWS architecture skills, this course will empower you to tackle the most challenging cloud projects with confidence.Join me and take your AWS career to the next level! 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Free Download AWS Certified Solutions Architect - Associate (SAA-C03) Core Services Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 3.59 GB | Duration: 17h 0m 12s The AWS CSAA is one of the top and most difficult to achieve IT certifications in the industry. The course will teach you the necessary skills to not only pass the AWS Certified Solutions Architect exam, but also how to implement core services. Becoming an AWS Solutions Architect requires extensive knowledge of the entire AWS ecosystem, and a profound understanding of several core services. In this course, AWS Certified Solutions Architect - Associate (SAA-C03): Core Services, you'll learn to best architect what are referred to as core services within AWS. First, you'll explore designing and implementing solutions combining AWS IAM, Amazon EC2, and custom Amazon VPCs. Next, you'll discover how to store your data properly within services including Amazon S3, Amazon EBS, and different network storage like Amazon EFS. Finally, you'll learn how to leverage Amazon Route 53 and the other previously explored components for more advanced architecture design requirements. When you're finished with this course, you'll have the skills and knowledge of AWS Solutions Architecture needed to pass exam objectives covering these core AWS services, as well as successfully implement them into real-world designs. Homepage https://www.pluralsight.com/courses/aws-saa-c03-certified-solutions-architect-associate-core-services Screenshot Rapidgator https://rg.to/file/1c0c7507f83dc8d8c881e7dbef11d3bb/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.rar.html https://rg.to/file/2853be4470c76f13f9438faeef81801f/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part3.rar.html https://rg.to/file/69d66f73729451a041f0a7137543875a/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part2.rar.html https://rg.to/file/f0df8e8c621415dbf6cde628cd8c9035/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part1.rar.html https://rg.to/file/f60b85482b80a92ee35e12ef60b52ee0/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part4.rar.html Fikper Free Download https://fikper.com/2BgiO5JpSo/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.rar.html https://fikper.com/HrlAypwbUD/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part3.rar.html https://fikper.com/K75URU8umL/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part2.rar.html https://fikper.com/fLIpv8oIxG/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part4.rar.html https://fikper.com/wvuoR20PsB/mceue.AWSCertifiedSolutionsArchitectAssociateSAAC03CoreServices.s.s.part1.rar.html No Password - Links are Interchangeable

Free Download AWS Certified DevOps Engineer Professional 2024 - DOP-C02 Last updated 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 17h 18m | Size: 6.64 GB Pass the AWS Certified DevOps Engineer Professional Certification (DOP-C02) with 20 hours of advanced videos. What you'll learn Pass the AWS Certified DevOps Engineer Professional Certification (DOP-C02) Create automations between all the various AWS services Perform operations that will teach you real-world skills Learn DevOps on AWS by doing All slides available as a downloadable PDF Requirements At least an associate certification such as AWS Certified Developer AWS Certified Developer & AWS Certified SysOps recommended One year of experience in AWS preferred, two years optimal Description Welcome to the BEST and MOST UPDATED online resource to learn the skills needed to pass the challenging certification: AWS Certified DevOps Engineer Professional (DOP-C02).[DOP-C02] Update Published: 19/05/2023Before taking this course, make sure that:You hold at least an associate-level certification in AWS (AWS Certified Developer Associate is preferred)You have experience using AWS at your workIf you're ready to go on a challenging and rewarding journey, join me in this course. You will not be disappointed!-- -- -- -- -- -- --This course is different from the other ones you'll find on Udemy. Dare I say, better (but you'll judge!)It covers in-depth all the new topics on the AWS Certified DevOps Engineer Professional DOP-C02 examIt's packed with practical knowledge on how to use AWS inside and out as a DevOpsIt teaches you how to prepare for the AWS Certified DevOps Engineer Professional exam AND how to prepare for the real worldIt's a logical progression of topics, not a laundry list of random servicesIt's fast-paced and to the point All slides available as downloadable PDF-- -- -- -- -- -- --InstructorMy name is Stéphane Maarek, I am passionate about Cloud Computing, and I will be your instructor in this course. I teach about AWS certifications, focusing on helping my students improve their professional proficiencies in AWS.I have already taught 2,000,000+ students and gotten 500,000+ reviews throughout my career in designing and delivering these certifications and courses!With AWS becoming the centerpiece of today's modern IT architectures, I have decided it is time for students to learn how to be an AWS DevOps Engineer Professional. So, let's kick start the course! You are in good hands!-- -- -- -- -- -- --This course also comes with:Lifetime access to all future updatesA responsive instructor in the Q&A SectionUdemy Certificate of Completion Ready for DownloadA 30 Day "No Questions Asked" Money Back Guarantee!Join me in this course if you want to pass the AWS Certified DevOps Engineer Professional Certification (DOP-CO2) Exam and master the AWS platform! Who this course is for Experienced AWS cloud engineers looking to pass the AWS Certified DevOps Engineer Professional certification (DOP-C02) Experienced AWS cloud engineers looking to learn advanced automations and features on the AWS cloud Homepage https://www.udemy.com/course/aws-certified-devops-engineer-professional-hands-on/ Screenshot Rapidgator https://rg.to/file/24ff1af89bbaa85ef68cc8f8a23af501/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part7.rar.html https://rg.to/file/8196af2a0fe482a26771b148fa015ed2/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part4.rar.html https://rg.to/file/88802109fdce32d77b5b21d4067d0bf5/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part5.rar.html https://rg.to/file/9975ea41e98c33441a556ca0dd5b2a90/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part2.rar.html https://rg.to/file/d0dfb20eee234e2a8568532abd7a5725/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part6.rar.html https://rg.to/file/d6238d3cd7c384b440e36c357c878852/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part1.rar.html https://rg.to/file/e0a060e0ab87f97d523abf510e6c013c/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part3.rar.html Fikper Free Download https://fikper.com/0TDmfxG1p8/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part7.rar.html https://fikper.com/5uzgTYiCC2/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part6.rar.html https://fikper.com/cojlRZR4J1/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part5.rar.html https://fikper.com/gddKeVOBjZ/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part1.rar.html https://fikper.com/gohkebeZwT/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part3.rar.html https://fikper.com/hk1EKonkXI/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part4.rar.html https://fikper.com/zNtrSQkjOg/owjbl.AWS.Certified.DevOps.Engineer.Professional.2024..DOPC02.part2.rar.html No Password - Links are Interchangeable

Free Download AWS CDK with Golang Essentials Published 10/2024 Created by Hadi Tajallaei MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 19 Lectures ( 1h 8m ) | Size: 1.1 GB Dive into AWS CDK for Go: Provision, Orchestrate, and Automate your AWS Resources with Code What you'll learn Grasp the core concepts and architectural model of AWS CDK Utilize Go to programmatically provision and manage AWS resources Implement robust testing and validation to ensure infrastructure integrity Master the art of defining reusable and modular CDK constructs and stacks Requirements At least one month of hands-on experience with Amazon Web Services (AWS) Minimum of one month working with the Go programming language (Golang) Description This course provides a comprehensive introduction to AWS CDK version 2 using the Go programming language. It includes a challenging quiz to test your understanding, with answers provided for self-assessment. Episodes that feature code demonstrations come with example code attachments for you to download and experiment with.At the time of this course's creation, there were no other AWS CDK training materials available for the Go language. Existing resources often mix TypeScript and Python, and fail to clearly define which CDK version is being taught. In contrast, this course focuses exclusively on version 2 using Golang. As an instructor, I bring extensive real-world experience actively using AWS CDK in large-scale projects. I have created and maintained enterprise-level applications using both versions 1 and 2 of AWS CDK with TypeScript, and more recently, with version 2 using Golang for a major media corporation.The goal of this course is to provide you with polished, well-edited, and easily digestible content that will enable you to understand AWS CDK and create any resources using the CDK libraries with the Go programming language. Rather than spending hours sifting through unedited, lengthy training materials and losing focus, you can complete this course in a single morning, with time for a break in between. By the afternoon, you'll be equipped to create any AWS resources using CDK. I hope you enjoy this course, and based on the enthusiasm and demand, I plan to create a follow-up course, "AWS CDK with Golang Professional," which will dive deeper into CI/CD and networking using AWS CDK version 2 with Golang. Who this course is for DevOps Engineers Cloud-Native Software Engineers Golang Engineers Operation Engineers AWS CDK TypeScript Engineers interested in Go Solution Architects Software Engineers Principle Engineers Homepage https://www.udemy.com/course/aws-cdk-go/ Screenshot Rapidgator https://rg.to/file/166cc2f8476409e06038f922647faf3d/jvmhp.AWS.CDK.with.Golang.Essentials.part1.rar.html https://rg.to/file/2f5dfb7a725f01c88bffb7a186065d6a/jvmhp.AWS.CDK.with.Golang.Essentials.part2.rar.html Fikper Free Download https://fikper.com/Qh8NGpgmB6/jvmhp.AWS.CDK.with.Golang.Essentials.part1.rar.html https://fikper.com/xGiK4NTmnN/jvmhp.AWS.CDK.with.Golang.Essentials.part2.rar.html No Password - Links are Interchangeable

Free Download [NEW] AWS Certified AI Practitioner AIF-C01 by Jairo Pirona Published 10/2024 Created by Jairo Pirona | Trainer & Solutions Architect. MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 99 Lectures ( 8h 33m ) | Size: 3.3 GB Pass the AWS AI Practitioner AIF-C01 exam with this course by Jairo Pirona | Practice Exam included | All topics covered What you'll learn: PASS the AWS Certified AI Practitioner Exam (AIF-C01) Master key concepts of AI, machine learning, and generative AI. Identify real-world AI use cases in Amazon Web Services. Understand responsible practices and security in AI solutions. and more... Requirements: Basic computing and cloud skills. Access to an AWS account for hands-on practice. Interest in artificial intelligence and machine learning. Desire to obtain the AWS Certified AI Practitioner certification Description: Discover the future of Artificial Intelligence (AI) and Machine Learning (ML) with AWS. In this course, designed for the AWS Certified AI Practitioner exam, you will learn the fundamentals of artificial intelligence, machine learning, and deep learning, applied through AWS's advanced services. This course is focused on equipping you with the tools needed to understand, implement, and leverage AI solutions in the real world.Throughout the modules, you will explore essential concepts, practical use cases, and best practices for working with advanced technologies like generative AI. Additionally, we will delve into the importance of applying AI responsibly and securely, following industry standards.This is NOT a boring course of voice and PowerPoint lectures. Here I will discuss and present the material in an interactive and engaging style that will keep you interested and make it easier to understand. Check out the free videos available and you will see the difference!What will you learn?Fundamentals of Artificial Intelligence and Machine Learning (ML)You will understand the basics of AI and ML, including neural networks, computer vision, and natural language processing (NLP). We will examine the key differences between artificial intelligence, machine learning, and deep learning, and learn how to identify when it's appropriate to apply these technologies.Generative Artificial IntelligenceYou will discover how generative AI can create new content, such as text, images, and audio, from existing data. We'll see examples of generative models and their practical applications across industries, such as creative content generation, software development, and much more.Foundation Models and Fine-TuningYou will learn about pre-trained models and how to choose the right one for different scenarios. Additionally, you will explore fine-tuning techniques to optimize model performance and how to customize them for specific use cases.Responsible Artificial IntelligenceYou will understand the ethical principles of AI, including transparency, privacy, and bias mitigation. This module will also cover the tools AWS offers to ensure models are secure, explainable, and adhere to responsibility standards.Security, Compliance, and Governance for AI SolutionsYou will learn how to implement governance and security strategies for AI solutions, ensuring systems meet regulatory and best practice standards. This includes handling data securely and protecting models from potential vulnerabilities.Course Contents and Domain DistributionThe course is aligned with the five key domains of the AWS Certified AI Practitioner exam, providing a solid foundation to help you achieve certification. These domains are distributed as follows:Domain 1: Fundamentals of AI and ML (20% of scored content)Domain 2: Fundamentals of Generative AI (24% of scored content)Domain 3: Applications of Foundation Models (28% of scored content)Domain 4: Guidelines for Responsible AI (14% of scored content)Domain 5: Security, Compliance, and Governance for AI Solutions (14% of scored content)Who is this course for?This course is designed for anyone looking to gain a solid understanding of the principles of artificial intelligence and machine learning with AWS. You don't need to be an expert in programming or advanced mathematics; the course covers everything from basic concepts to more advanced applications, all in an accessible way. 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Free Download Pluralsight - AWS Networking Fundamentals Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 44.75 MB | Duration: 20m 16s AWS Virtual Private Cloud, or VPC is one of the key services offered through the AWS cloud platform. This course will teach you how to safely configure your own VPC. VPC's provide you with the capability to have your own private area in the AWS cloud. In this course, AWS Networking Fundamentals, you'll learn to build and configure your own VPC. First, you'll explore what a VPC is, and the different connectivity options you have for your VPC. Next, you'll discover how to create your own VPC. Finally, you'll learn how to control access within your VPC, using a combination of network access control lists, and security groups. When you're finished with this course, you'll have the skills and knowledge of AWS networking needed to build and configure your own AWS virtual private cloud. Homepage https://www.pluralsight.com/courses/aws-networking-fundamentals TakeFile https://takefile.link/ajze54ookqfy/kaenw.AWS.Networking.Fundamentals.rar.html Rapidgator https://rg.to/file/3d38cb840ffceaf4341b7c234e063326/kaenw.AWS.Networking.Fundamentals.rar.html Fikper Free Download https://fikper.com/p7FZPldzm2/kaenw.AWS.Networking.Fundamentals.rar No Password - Links are Interchangeable

Free Download Introduction to Cloud Computing on AWS for Beginners [2024] Last updated 10/2024 Created by Neal Davis | AWS Certified Solutions Architect & Developer,Digital Cloud Training | AWS Certified Cloud Practitioner AWS Certified Solutions Architect, AWS Developer Associate MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 97 Lectures ( 9h 29m ) | Size: 2.47 GB Learn Cloud Computing Concepts and AWS Basics | Master AWS Fundamentals and Hands-on Skills on Amazon Web Services (AWS) What you'll learn: This course covers fundamental concepts of cloud computing and is designed for absolute beginners Learn the basics of Amazon Web Services (AWS), the world's leading cloud computing platform Gain an understanding of the fundamental systems on which the cloud is based, including storage, networking, and compute Develop hands-on skills using core Amazon Web Services (AWS) services Build knowledge from beginner level to advanced concepts Requirements: This course is designed for individuals who are new to the world of cloud computing and AWS Absolutely no prior experience necessary Description: This beginner-friendly Introduction to Cloud Computing on AWS course takes you from the AWS basics to becoming a competent AWS cloud practitioner. With expert instruction and engaging content, you'll learn general cloud computing concepts and AWS from fundamentals right through to advanced concepts. You'll also build hands-on skills using many of the core Amazon Web Services (AWS) services. Ideal for beginners - absolutely no cloud computing experience is required!We use a highly visual and effective method of teaching cloud computing and AWS concepts using diagrams and animations (no bullet-point slides). There are lots of hands-on exercises using an Amazon Web Services (AWS) free tier account to help you gain practical experience.If you're interested in moving into a high-paying career working with cloud computing services - this is the best way to get started. You'll build knowledge from beginner level to advanced concepts, with plenty of opportunities to practice what you're learning.This course is an excellent way to get started with cloud computing and also serves as a great starting point for those planning to earn their AWS Certified Cloud Practitioner or AWS Certified Solutions Architect certifications (you will need additional courses aimed at those AWS certifications).Watch the intro video to learn how this course will help you gain a solid understanding of cloud computing on AWS.KEY SKILLS YOU WILL DEVELOPLearn fundamental concepts of cloud computing and including storage, database, networking, virtualization, containers, and cloud architectureCreate an AWS Free Tier account and launch your first virtual servers (Amazon EC2 instances) on the AWS CloudConfigure elasticity, high availability and fault tolerance using Amazon EC2 Auto Scaling and Amazon Elastic Load BalancingCreate and configure storage services and upload files and objects using Amazon EBS, Amazon EFS and Amazon S3Launch a relational database on Amazon RDS and a NoSQL database using Amazon DynamoDBAutomatically deploy infrastructure using code through AWS CloudFormationCreate a Platform as a Service (PaaS) application on AWS Elastic BeanstalkLearn how to use DevOps tools on AWS to automate a continuous integration and continuous delivery (CI/CD) pipelineImplement serverless computing and Docker containers on AWS using AWS Lambda and Amazon ECSCreate serverless event-driven architectures on LambdaCreate loosely coupled services with Amazon SQS and Amazon SNSCORE TOPICS WE WILL COVER IN THIS CLOUD COMPUTING FUNDAMENTALS COURSEIT FundamentalsGain an understanding of fundamental IT concepts, including:Client / server computingStorage concepts: block, file, and objectIP addressing and subnetting basicsNetworking: routers and switchesServer virtualization and Docker containersApplication programming interfaces (APIs)Cloud Computing ConceptsLearn about the key cloud computing concepts:Legacy / traditional IT vs cloud computingThe advantages of cloud computing servicesCloud computing examplesCloud computing service models (IaaS, PaaS, SaaS)Cloud computing deployment models (private cloud, public cloud, hybrid cloud, multicloud)Scaling up vs scaling outLoad balancingHigh availability and Fault toleranceMonolithic vs microservices architecturesAWS Access Control and NetworkingIn this section you'll learn the basics of Amazon AWS and the AWS IAM and Amazon VPC:AWS Identity and Access Management (IAM)Creating AWS IAM users and groupsCloud networking - Amazon Virtual Private Cloud (VPC)Creating custom Amazon VPCsCloud computing security - security groups and network ACLsCreating security groups and NACLsAmazon EC2, Auto Scaling, and Load BalancingLearn how to use Amazon AWS's IaaS platform and launch virtual servers on Amazon EC2:Launching Amazon EC2 instancesCreate a website on Amazon EC2Using IAM Roles with EC2Scaling with Amazon EC2 Auto ScalingAdd high availability with Amazon Elastic Load BalancingAWS Storage ServicesUse block, file, and object storage on AWS:Amazon Elastic Block Store (EBS) and Instance StoresAmazon EBS snapshots and AMIsAmazon Elastic File System (EFS)Amazon Simple Storage Service (S3)AWS DatabasesUse managed database services in the AWS Cloud:Amazon Relational Database Service (RDS)Create Amazon RDS DB with a Read ReplicaAmazon DynamoDBCreate a DynamoDB tableAutomation and DevOps on AWSLearn how to automate deployment and management on AWS and use the AWS Developer Tools:Deploy infrastructure as code using AWS CloudFormationDeploy a Platform as a Service (PaaS) application using AWS Elastic BeanstalkContinuous Integration and Continuous Delivery (CI/CD)AWS CodeCommit, CodePipeline, and CodeDeployCreate an AWS CodePipeline with AWS Elastic BeanstalkDNS, Caching, and Performance OptimizationUse Amazon Route 53 for DNS resolution and domain registrationUse the Amazon CloudFront content delivery network (CDN)AWS Global AcceleratorContainers and Serverless ComputingYou'll learn about Docker containers and serverless computing:Docker Containers on Amazon ECSServerless computing with AWS Lambda functionsApplication integration services and loose couplingAmazon EventBridgeWHAT DO OTHER STUDENTS SAY?If you're new to cloud computing, this beginner-friendly course is the perfect place to get started. But don't just take our word for it - check out the excellent course reviews from thousands of happy students:"Great experience, clearly presented and lots of hands on practice demos""Awesome, the flow of the session is very good; the trainer started from basics and then gradually moved to advanced topics. Highly recommended""I am a second-year CS student at one of the best unis in the UK. This lecturer explained my whole network module in literally 20 mins and I understood more than in my uni lectures. lol"MEET YOUR INSTRUCTORHi, I'm Neal Davis, and I'm delighted to be your instructor for this AWS Developer course. As the founder of Digital Cloud Training, I'm deeply committed to providing top-quality AWS certification training resources. I created this beginner's course to help you understand core cloud computing concepts & the basics of AWS. With over 20 years of hands-on experience in the Cloud space, I'm excited to share my expertise with you on Udemy.OUR SUCCESS IN NUMBERSOver 500,000 students enrolled in our AWS courses on Udemy4.7 Star instructor ratings from over 100,000 reviewsOur students pass the AWS exam with an average score of over 85%MONEY-BACK GUARANTEEWe are totally confident in the value of this course which comes with a 30-day unconditional money-back guarantee. Get lifetime access now - risk-free! Who this course is for: Anyone keen to learn about cloud computing Ideal for newbies to cloud computing Professionals keen to explore cloud computing services Anyone interested in understanding Amazon Web Services (AWS) Aspiring developers who want to build applications on AWS Students keen to learn the fundamental concepts of cloud computing Homepage https://www.udemy.com/course/introduction-to-cloud-computing-on-amazon-aws-for-beginners/ Rapidgator https://rg.to/file/5fab243296e62591bba859df2b140e6b/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part1.rar.html https://rg.to/file/04f460fae9772fd8b079733debb746de/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part2.rar.html https://rg.to/file/085af6c5b20cc5c441fd0423671ce2e0/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part3.rar.html Fikper Free Download https://fikper.com/SByjI9G0Dn/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part1.rar https://fikper.com/aOY3Oe6MQE/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part2.rar https://fikper.com/Mxn3D8Xr8o/mkmaq.Introduction.to.Cloud.Computing.on.AWS.for.Beginners.2024.part3.rar No Password - Links are Interchangeable

Free Download Pluralsight - Understanding AWS and its Global Infrastructure David Blocher | Duration: 0:19 h | Video: H264 1280x720 | Audio: AAC 48 kHz 2ch | 58 MB | Language: English David has always had an interest in learning and teaching complex systems. Before he was working with AWS, he spent his days learning and teaching board games at his local board game cafe in hometown Columbus, OH. Over the last six years working in tech, he has gone from a self-taught Ruby developer to a 4x AWS certified senior consultant in cloud technologies, and now a Training Architect at Pluralsight. David holds both professional-level AWS certifications and is passionate about helping people unlock their career potential through learning cloud skills. When he's not building courses, you can find David out hiking around Seattle with his wife Myia and his dog Oliver, or inside playing board games or role playing games. Homepage https://www.pluralsight.com/courses/aws-global-infrastructure-understanding TakeFile https://takefile.link/u7l6x8gumspl/pmmfr.Understanding.AWS.and.its.Global.Infrastructure.rar.html Rapidgator https://rg.to/file/8bc4ee74c7c10ac14a764ed251ae5ae1/pmmfr.Understanding.AWS.and.its.Global.Infrastructure.rar.html Fikper Free Download https://fikper.com/6mbJfw6v2a/pmmfr.Understanding.AWS.and.its.Global.Infrastructure.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Securely Migrating to AWS Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 36m | Size: 227 MB A successful cloud migration strategy requires incorporating a thoughtful baked-in security into the migration plan. As organizations increasingly transition to cloud environments, maintaining the highest levels of security throughout the migration process becomes crucial. In this course, cloud security engineer Zinet Kemal provides guidance and an in-depth understanding of the key security considerations and best practices required to safeguard sensitive data and infrastructure. Learn how to incorporate organizational goals, as well as regulatory requirements as you migrate your valuables to AWS. Develop the skills you will need to make informed decisions, execute successful migrations, and contribute to the ongoing improvement of cloud security practices within your organization. By the end of this course, you will gain the practical skills to navigate the complexities of securing your cloud migration to AWS and implementing secure best practices confidently. Homepage https://www.linkedin.com/learning/securely-migrating-to-aws TakeFile https://takefile.link/vmas94gndvsm/ukqxt.Securely.Migrating.to.AWS.rar.html Rapidgator https://rg.to/file/a426868e7a0c4c03d8427a3d3b40474e/ukqxt.Securely.Migrating.to.AWS.rar.html Fikper Free Download https://fikper.com/0WO4zV640c/ukqxt.Securely.Migrating.to.AWS.rar.html No Password - Links are Interchangeable

Free Download Aws Workshops - Hands-On Learning With Demos Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.97 GB | Duration: 3h 25m Quick Workshops! What you'll learn Hands-on experience with AWS S3 Hands-on experience with AWS VPC Creation Hands-on experience with AWS IAM Hands-on experience with other AWS Services Requirements Basic understanding of IT concepts and networking No prior AWS experience required Description Welcome to the AWS Hands-On Labs and Demos course! This course is designed to provide you with practical, hands-on experience with Amazon Web Services (AWS). Whether you're a beginner looking to understand the basics or an experienced professional aiming to deepen your knowledge, this course offers a comprehensive learning experience.Course Objectives:Gain a solid understanding of core AWS services and their applications.Learn how to set up and manage AWS environments.Develop skills to deploy, manage, and scale applications on AWS.Explore real-world scenarios through workshop demos.Course Highlights:Workshop-Style Learning: Engage in step-by-step labs that guide you through various AWS services, including EC2, S3, VPC, and more.Real-World Scenarios: Apply your knowledge to real-world scenarios, helping you understand how AWS services are used in practical situations.Workshops: Learn from Workshops developed by AWS-certified instructors with extensive industry experience.Resources and Scripts: Access resources and scripts used in demos to practice and reinforce your learning.Certification Preparation: This course also helps you prepare for AWS certification exams by covering fundamental topics.Who Should Enroll:IT professionals looking to enhance their cloud computing skills.Developers and engineers interested in deploying applications on AWS.Students and beginners who want to start a career in cloud computing.Anyone preparing for AWS certification exams.Prerequisites:Basic understanding of IT concepts and networking.No prior AWS experience required. Overview Section 1: Introduction Lecture 1 Welcome 2 Workshops! Section 2: Workshop #01 - AWS Signup & Setting Billing Alerts Lecture 2 Objectives Lecture 3 What do we need? Lecture 4 Workshop Activity Lecture 5 Clean Up & Conclusion Section 3: Workshop #02 - Introduction to AWS Management Console Lecture 6 Objectives Lecture 7 Workshop Activity #1 : Exploring the AWS Management Console Lecture 8 Clean Up & Conclusion Section 4: Workshop #03 - Understanding the default VPC Lecture 9 Objectives Lecture 10 Workshop Activity Lecture 11 Clean Up & Conclusion Section 5: Workshop #04 - Create EC2 instances and connect remotely Lecture 12 Objectives Lecture 13 Workshop Introduction Lecture 14 Workshop Activity Section 6: Workshop #05 - Create EC2 instance and install nginx Lecture 15 Objectives Lecture 16 What do we need? Lecture 17 Lab Resources Lecture 18 Workshop Introduction Lecture 19 Workshop Activity Lecture 20 Clean Up! Lecture 21 Learning Recommendations Section 7: Workshop #06 - Launching EC2 Spot Instances Lecture 22 Objectives Lecture 23 Workshop Introduction Lecture 24 Workshop Solution Lecture 25 Clean Up! Lecture 26 Learning Recommendations Section 8: Workshop #07 - Managing Permissions using IAM Lecture 27 Objectives Lecture 28 Workshop Introduction Lecture 29 Workshop Solution Lecture 30 Clean Up! Lecture 31 Learning Recommendations Section 9: Workshop #08 - Creating Amazon S3 bucket and enabling Public Access Lecture 32 Workshop Introduction & Architecture Diagrams Lecture 33 Lab Resources (Sample Files, Sample Code, etc.) Lecture 34 Workshop Solution Lecture 35 Clean Up! Lecture 36 Learning Recommendations Section 10: Workshop #09 - Hosting a static website using Amazon S3 Lecture 37 Workshop Introduction Lecture 38 Workshop Solution Lecture 39 Workshop Resources Lecture 40 Clean Up! Lecture 41 Learning Recommendations Section 11: Workshop #10 - Configure Amazon S3 Buckets for Versioning & Cross-Region Replica Lecture 42 Workshop Introduction & Architecture Diagrams Lecture 43 Workshop Resources Lecture 44 Workshop Solution Lecture 45 Clean Up! Lecture 46 Learning Recommendations IT professionals looking to enhance their cloud computing skills.,Developers and engineers interested in deploying applications on AWS.,Students and beginners who want to start a career in cloud computing.,Anyone preparing for AWS certification exams. 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Free Download Udemy - AWS Networking Basics Published 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 9h 5m | Size: 4.91 GB AWS Networking Basics What you'll learn AWS Networking Basics Will gain a better understanding of AWS Networking Concepts and Configuration AWS Networking LAB Demo Added more valuable AWS Networking Labs Requirements Routing and Switching Basic Knowledge , Subnetting Concepts Description This is Selvajegan here. Have a very good understanding of networking Fundamentals.and having 12 + experience in my Networking Domain with good experience in Cisco and Juniper Completed my CCNA, CCNP and CCIE. Planning to cover from basic to advanced networking.Completed my JNCIA and JNCIP Enterprise Switching and Routing Certificationsso will cover all the networking topics including the latest networking technologies.This Course covers all the AWS Networking Basicsand i will be covering all the AWS Networking Basics for a better understanding, added lab videosThe below course will find the answers for the below questions.What is VPC ?What is Private and Public Subnet ? What is Internet Gateway ? What is NAT Gateway?How to reach Internet from Private Subnet (Need Gateway ) and Public Subnet ( Internet Gateway)?What is Elastic Network Interface ?what is default VPC ?AWS VPC Essentials ?AWS Elastic IP ?AWS IPv6 addresses ?What is Gateway End Point ?What is Interface End Point ?What is VPC Peering ?What is S3 Bucket ?S3 Bucket Policy ?What is Route 53 ?Explain Route 53 Records ?What is Route 53 Private Hosted Zone ?What is Route 53 Public Hosted Zone ?What is Split View DNS?What is Route 53 Simple Routing ?What is Cloud Front ? Who this course is for This Course is for beginners who is eager to learn AWS Networking Concepts and also for their career growth in AWS Homepage https://www.udemy.com/course/aws-networking-basics/ Rapidgator https://rg.to/file/b6b54a698fd4563341cc33de9b42ce97/gtetq.AWS.Networking.Basics.part1.rar.html https://rg.to/file/5707f9f7da766368d1ca7b50bebf5552/gtetq.AWS.Networking.Basics.part2.rar.html https://rg.to/file/4175efc2616dcfbfe3e74654d2176faf/gtetq.AWS.Networking.Basics.part3.rar.html https://rg.to/file/a545c0db0d78f3f7c586a5fbdd299995/gtetq.AWS.Networking.Basics.part4.rar.html https://rg.to/file/da14ad5f46b7e6e92e78811e3c6d351b/gtetq.AWS.Networking.Basics.part5.rar.html https://rg.to/file/1f799b5f6635044e1d97c97a96d802d8/gtetq.AWS.Networking.Basics.part6.rar.html Fikper Free Download https://fikper.com/ftcxcfvOPX/gtetq.AWS.Networking.Basics.part1.rar.html https://fikper.com/zd4ap360o8/gtetq.AWS.Networking.Basics.part2.rar.html https://fikper.com/jo2rvQLh5X/gtetq.AWS.Networking.Basics.part3.rar.html https://fikper.com/FXGhFtKbk1/gtetq.AWS.Networking.Basics.part4.rar.html https://fikper.com/fNrFLhPKs6/gtetq.AWS.Networking.Basics.part5.rar.html https://fikper.com/HrjcCTAmaG/gtetq.AWS.Networking.Basics.part6.rar.html No Password - Links are Interchangeable

Free Download Amazon Bedrock & AWS Generative AI - Ultimate Hands-on Published 9/2024 Created by Cloud Guru Amit | 2X AWS | 16X Microsoft CERTIFIED MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 23 Lectures ( 5h 5m ) | Size: 2.24 GB Build a Chatbot, Analyze Social Media Sentiments,Face Recognition app with Amazon Bedrock. NO CODING EXPERIENCE REQUIRED What you'll learn: Learn fundamentals about AI, Machine Learning and Artificial Neural Networks. Amazon Bedrock - Detailed Console Walkthough, Bedrock Architecture. Learn how Generative AI works and deep dive into Foundation Models. Project 1: Unlocking Creativity: Hands-On with Amazon Bedrock Text Playground. Project 2: Mastering Conversations: Hands-On with Amazon Bedrock Chat Playground. Project 3: Creating Stunning Visuals: Hands-On with Amazon Bedrock Image Playground Project 4: Image Analysis: Hands-On with Amazon Rekognition and AWS Lambda. Project 5: Building Smart Chatbots: Hands-On with Amazon Bedrock and Amazon Lex. Project 6: Unlocking Sentiments: Hands-On with Amazon Bedrock AI21 Labs Model Project 7: Transforming Text to Art: Hands-On with Amazon Bedrock's Stable Diffusion XL. Project 8: Decoding Social Media: Sentiment Analysis with Amazon Comprehend Project 9: From Pen to Pixel: Extracting Handwritten Text with Amazon Textract Project 10: Mastering Data Preprocessing with Amazon SageMaker: From Raw Data to Training & Testing Sets Project 11: Creating a Powerful Custom Knowledge Base with Amazon Bedrock: Step-by-Step Guide Project 12: Transforming Text Files into CSV & JSON with Amazon Bedrock: A Comprehensive Guide Project 13: Log Analysis, Invoicing, and Sentiment Analysis with Amazon Bedrock & Cloud9 Project 14: Safeguarding AI: Blocking Hate Speech, Violence, and Insults with Amazon Bedrock Guardrails Project 15: Unveiling the Hidden: Detecting Invisible Watermarks with Amazon Bedrock Project 16: Save Cost on ML Training : Master Managed Spot Training with Amazon SageMaker XGBoost Project 17: Build Real Estate / Photography Business Web App using Generative AI Project 18: Building Customer Shopping Order System using Amazon Transcribe Project 19: Amazon Bedrock Agents | Automate Tasks with AI! Project 20: Building Cybersecurity Face Recognition Web Application Project 21 : Building Highly Available Chat Bot Web App using Docker Project 22: Revolutionizing Image Understanding with Anthropic Bedrock & Streamlit Project 23: Building Employee Knowledge Base Search Tool Requirements: There are no course pre-requisites for this course except basic AWS and Python Knowledge. Description: Amazon Bedrock and GenAI Course :***Hands - On End-to-End Architecture Real IT Projects Use Cases implemented as part of this course***Project 1: Unlocking Creativity: Hands-On with Amazon Bedrock Text Playground.Project 2: Mastering Conversations: Hands-On with Amazon Bedrock Chat Playground.Project 3: Creating Stunning Visuals: Hands-On with Amazon Bedrock Image PlaygroundProject 4: Image Analysis: Hands-On with Amazon Rekognition and AWS Lambda.Project 5: Building Smart Chatbots: Hands-On with Amazon Bedrock and Amazon Lex.Project 6: Unlocking Sentiments: Hands-On with Amazon Bedrock AI21 Labs ModelProject 7: Transforming Text to Art: Hands-On with Amazon Bedrock's Stable Diffusion XL.Project 8: Decoding Social Media: Sentiment Analysis with Amazon ComprehendProject 9: From Pen to Pixel: Extracting Handwritten Text with Amazon TextractProject 10: Mastering Data Preprocessing with Amazon SageMaker: From Raw Data to Training & Testing SetsProject 11: Creating a Powerful Custom Knowledge Base with Amazon Bedrock: Step-by-Step GuideProject 12: Transforming Text Files into CSV & JSON with Amazon Bedrock: A Comprehensive GuideProject 13: Log Analysis, Invoicing, and Sentiment Analysis with Amazon Bedrock & Cloud9Project 14: Safeguarding AI: Blocking Hate Speech, Violence, and Insults with Amazon Bedrock GuardrailsProject 15: Unveiling the Hidden: Detecting Invisible Watermarks with Amazon BedrockProject 16: Save Cost on ML Training : Master Managed Spot Training with Amazon SageMaker XGBoostProject 17: Build Real Estate / Photography Business Web App using Generative AIProject 18: Building Customer Shopping Order System using Amazon TranscribeProject 19: Amazon Bedrock Agents | Automate Tasks with AI!Project 20: Building Cybersecurity Face Recognition Web ApplicationProject 21 : Building Highly Available Chat Bot Web App using DockerProject 22: Revolutionizing Image Understanding with Anthropic Bedrock & StreamlitProject 23: Building Employee Knowledge Base Search ToolAWS Services / Tools Used in the Course :Amazon BedrockAmazon Cloud9Amazon Elastic Container Service ( ECS )Stability Diffusion ModelClaude Foundation Model from AnthropicClaude SonnetAmazon Bedrock AgentsBedrock Knowledge BaseLangchain - Chains and Memory ModulesAmazon Route 53Amazon Elastic Container Registry (Amazon ECR)Amazon SagemakerAWS LambdaHTMLAmazon LexStreamlitS3Amazon TranscribeNode.JSPythonAmazon Elastic Compute Cloud ( EC2 )AWS FargateAWS RekognitionJavascriptCascading Style Sheets ( CSS ) Who this course is for: Unlock a new career path with our course, tailored to transition you into high-paying roles in Generative AI and Amazon Bedrock. 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Free Download AWS Certified Machine Learning Engineer - Associate MLA-C01 Published 9/2024 Created by Nikolai Schuler MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 250 Lectures ( 25h 50m ) | Size: 10.7 GB The ONLY course you need to PASS the AWS Certified Machine Learning Engineer Exam | MLA-C01 | Incl. FULL Practice Exam! What you'll learn: PASS the AWS Certified Machine Learning Engineer Associate Exam (MLA-C01) Full Practice Exam incl. Full Explanations to ACE the exam All Slides available as downloadable PDFs All Topics Covered & 100% up-to-date Hands-on Demos with Real-World Scenarios Start your Machine Learning Career Build, Train & Deploy Machine Learning Models in Amazon SageMaker Data Ingestion and Preprocessing with SageMaker Data Wrangler Full Machine Learning Pipelines with SageMaker & Much More Master the Full Machine Learning Lifecycle with Real-World Skills Requirements: No previous experience with AWS or Machine Learning is needed! Description: The ONLY course you need to prepare and PASS the AWS Certified Machine Learning Engineer - Associate exam (MLA-C01) and become an AWS Certified Machine Learning Engineer - Associate!Make your exam preparation and learning Machine Learning on AWS fun, easy, and highly effective with real-life hands-on projects, quizzes, and a full practice exam!This course teaches you every single topic you need to master the exam with ease.Why is this the ONLY course you need to pass the AWS Certified Machine Learning Engineer exam?Every single topic is covered in depth100% up-to-date!Hands-On & PracticalFull practice exam including all explanationsPractical & Real-World SkillsTips for successThis course guides you step-by-step to prepare in the best possible way for the examDon't waste your time but focuses on what really matters to master the exam!This course guides you step-by-step to prepare in the best possible way for the exam and start your successful career in machine learning!Your InstructorHi, my name is Nikolai, and I am AWS Certified and I teach AWS and data analytics in over 200 countries. My mission with this course is to take the stress out of your exam prep, make it fun but very effective to maximize your preparation time. I want to make sure you have the best chances of succeeding and moving your career forward with the AWS Machine Learning Engineer certification in your professional journey.Enroll Now and Get:Lifetime Access including all future updatesHigh quality video contentAll slides & project files as downloadable resourcesFull practice exam with explanationsTipps for success & expert-level support30-day money-back guarantee (no-questions-asked!)Become an Expert & Learn the Full Machine Learning Lifecycle in AWS:PASS the AWS Certified Machine Learning Engineer examMaster Machine Learning on AWS and become an expertBuild, train, and deploy machine learning models with SageMakerOrchestrate ML workflows with SageMaker PipelinesPerform data ingestion and transformation with SageMaker Data Wrangler and AWS GlueUse SageMaker Feature Store for feature engineeringDeploy models using real-time, batch, and serverless inferenceMonitor models in production with SageMaker Model MonitorDebug and optimize models with SageMaker Debugger and ProfilerImplement responsible AI practices with SageMaker ClarifyUnderstand AWS storage and data processing services relevant to MLSecure your ML workflows with IAM, KMS, and VPCsImplement CI/CD pipelines for ML using SageMaker and AWS CodePipelineOptimize costs and monitor ML workloads with CloudWatch and AWS Cost Management toolsAnd much more!Whether you're new to machine learning or looking to expand your AWS expertise, this course offers everything you need-practical labs, a full practice exam, and up-to-date content that covers every aspect of Machine Learning on AWS.Take this chance today - this can be your first step into a successful machine learning engineering career!Looking forward to seeing you inside the course! Who this course is for: Aspiring Machine Learning Engineers looking to get certified and kickstart their ML careers Data Scientists, Data Engineers, Developers, and IT Professionals Professionals seeking to expand their knowledge of Machine Learning on AWS Homepage https://www.udemy.com/course/aws-certified-machine-learning-engineer-associate-mla-c01-exam-prep/ Rapidgator https://rg.to/file/01f6548fc39532e30243e8db719be8ec/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part01.rar.html https://rg.to/file/d60d28c8912a1da932d4abe399f305d3/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part02.rar.html https://rg.to/file/cd42971029aad6f4f726d2e70b55fdb3/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part03.rar.html https://rg.to/file/510d90f5ccd7f39189bef4d8915dfdea/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part04.rar.html https://rg.to/file/71657d7d2cb19b71ce3057e1fba8663a/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part05.rar.html https://rg.to/file/9c6e6e67acffd8a2334ff4f343bb3a9b/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part06.rar.html https://rg.to/file/8f0e68d999fe765326e3ea56f925f78f/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part07.rar.html https://rg.to/file/20d8afce386e246b59c59fafe0d56fb5/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part08.rar.html https://rg.to/file/68b80d2850ab7d9831fd6f593833a70b/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part09.rar.html https://rg.to/file/9c57c2499941c7f2eb1bc20211d49ed5/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part10.rar.html https://rg.to/file/d61f2a0a7461eb7c206383986f684639/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part11.rar.html https://rg.to/file/9bc579367aeeebeecdbb232100597c32/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part12.rar.html Fikper Free Download https://fikper.com/owo0pB85Z3/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part01.rar.html https://fikper.com/ishAF8ZJVO/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part02.rar.html https://fikper.com/VQB2NsoGzu/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part03.rar.html https://fikper.com/FPvzhowzNq/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part04.rar.html https://fikper.com/9QdgbFMdnS/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part05.rar.html https://fikper.com/Vwjz92DWLC/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part06.rar.html https://fikper.com/XGbIM4y4kG/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part07.rar.html https://fikper.com/HYfy7nSBLN/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part08.rar.html https://fikper.com/JzsaTLlnZn/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part09.rar.html https://fikper.com/lSlfbL4Asz/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part10.rar.html https://fikper.com/HI5pHTw3Cf/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part11.rar.html https://fikper.com/Ez2ZupBtS0/dvltm.AWS.Certified.Machine.Learning.Engineer..Associate.MLAC01.part12.rar.html No Password - Links are Interchangeable

Free Download Aws Cloud Practitioner (Clf-C02) (2024) Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 3.82 GB | Duration: 13h 58m Ace your AWS Cloud Practitioner Exam with these practice tests What you'll learn Understand core cloud concepts and the AWS Cloud value proposition. Identify and describe key AWS services and their use cases. Learn to design scalable, fault-tolerant systems on AWS. Understand AWS pricing models and optimize cloud costs. Requirements No prior AWS or cloud experience required; everything you need will be covered. Description Are you ready to embark on a transformative journey into the world of cloud computing? Look no further than our comprehensive AWS Cloud Practitioner course. Designed to equip individuals from various backgrounds - whether you're an IT professional, manager, sales representative, or business executive - with the fundamental knowledge and skills needed to excel in cloud computing, this course is your essential starting point.The course is structured to be engaging and interactive, incorporating a variety of teaching methods such as videos, demos, quizzes, and exercises to facilitate a thorough understanding of the material.The course is divided into several sections, each focusing on a specific aspect of AWS and cloud computing. Here are the key general topics covered in this course:Introduction to Cloud Computing and AWS: This section provides an overview of cloud computing, its benefits, and why certification is important. It also introduces AWS, its billing, security, and services.AWS Security and Compliance: This section delves into AWS's shared responsibility model for security, AWS Cloud security and compliance concepts, and AWS Identity Access Management.AWS Technology and Services: This part of the course covers methods of deploying and operating in the cloud, AWS's global infrastructure, and core AWS Services, including Networking, Storage, Compute, Database, Application Integration, AI/ML, and Business Applications.AWS Billing and Pricing: This section provides a detailed understanding of general billing in AWS, specific billing for various AWS services, and how account structures can affect billing. It also introduces tools for billing analysis and support, as well as AWS support options.Bringing it all together: The final section of the course provides a summary of all the topics covered in the course and guides students on how to use the practice exams. It also provides insights on the road ahead on the AWS journey.AWS Certified Cloud Practitioner Exam Readiness:Upon completing this course, you'll be thoroughly prepared to tackle the AWS Certified Cloud Practitioner exam. Our comprehensive curriculum will empower you to navigate the exam's challenges with confidence. Once you pass the exam, you will earn the prestigious AWS Cloud Practitioner certification, validating your understanding of cloud computing concepts and your ability to leverage the AWS platform effectively.Join us on this transformative educational adventure and unlock endless possibilities in the realm of cloud computing. Don't wait - start your AWS Cloud Practitioner journey today! Overview Section 1: Introduction Lecture 1 Course Introduction Lecture 2 Why take this Course (AWS CP) Lecture 3 Register/Taking an AWS Exam for the 1st time - what to know - Demo Lecture 4 Cloud Practitioner's Exam guide Lecture 5 A note about the next topic Lecture 6 Accessing the Labs Lecture 7 What you know now! - Opening Evaluation (CLF-C02) Lecture 8 Join Our Community Section 2: Cloud Computing Lecture 9 What is Cloud Computing in a nutshell Lecture 10 What is AWS Specifically Lecture 11 Benefits of Cloud Lecture 12 Cloud Economics Lecture 13 Cloud Design Prin[beeep]ls Lecture 14 Quiz - Cloud Computing Lecture 15 Course Resources - AWS Cloud Practitioner Lecture 16 Lab - Six Advantages of Cloud Computing Section 3: Security and Compliance Lecture 17 AWS Shared Responsibility Model for Security Lecture 18 AWS Cloud security and compliance concepts Lecture 19 AWS Identity Access Management Lecture 20 AWS IAM - user, groups, and roles - Demo Lecture 21 Organizations Lecture 22 Resources for Security of AWS Lecture 23 Quiz - AWS Security and Compliance Lecture 24 Lab - AWS Security and Compliance Section 4: Technology - Part One Lecture 25 Methods of Deploying and Operating in the Cloud Lecture 26 AWS Console - Demo Lecture 27 AWS CLI - Demo Lecture 28 AWS SDK - Demo Lecture 29 AWS' global infrastructure Lecture 30 Core AWS Services - Networking Lecture 31 Networking - Default VPC Lecture 32 Networking - Firewall Lecture 33 Networking - Overview Lecture 34 AWS Networking - Demo Lecture 35 Lab - Networking Services Lecture 36 Core AWS Services - Storage Lecture 37 AWS Storage EBS - Demo Lecture 38 AWS Storage EFS - Demo Lecture 39 AWS Storage S3 - Demo Lecture 40 Lab - Storage Services Lecture 41 Core AWS Services - Compute EC2 Lecture 42 Core AWS Services - Compute Lambda Lecture 43 Core AWS Services - Compute Containers Lecture 44 Lab - Container Services Lecture 45 AWS Compute EC2 - Demo Lecture 46 AWS Compute Lambda - Demo Lecture 47 Quiz - AWS Technology - Part One Lecture 48 Lab - Compute Services Section 5: Technology - Part Two Lecture 49 Core AWS Services - Database Lecture 50 AWS Database - Demo Lecture 51 Lab - Database Services Lecture 52 Core AWS Services - Application Integration Lecture 53 AWS App Integration - Demo Lecture 54 Lab - Application Integration Lecture 55 Core AWS Services - Management Lecture 56 AWS Management - Demo Lecture 57 Core AWS Services - Migration and Transfer Lecture 58 AWS Migration and Transfer - Demo Lecture 59 Lab - Developer tools Lecture 60 Quiz - AWS Technology Part Two Lecture 61 Lab - Management and Governance Section 6: Technology - Part Three Lecture 62 Introduction to AI/ML Services Lecture 63 AI/ML - Sagemaker Lecture 64 AI/ML - Lex for Chatbots Lecture 65 AI/ML - Kendra Lecture 66 AI/ML - Comprehend Lecture 67 AI/ML - Polly Lecture 68 AI/ML - Rekognition Lecture 69 AI/ML - Textract Lecture 70 AI/ML - Transcribe Lecture 71 AI/ML - Translate Lecture 72 AI/ML - Summary Lecture 73 AWS SageMaker - Demo Lecture 74 Secondary AWS Services - Analytics Services Lecture 75 AWS Athena - Demo Lecture 76 Secondary AWS Services - Business Application Services Lecture 77 Amazon Connect - Demo Lecture 78 Secondary AWS Services - Customer Engagement Services Lecture 79 Secondary AWS Services - Developer Tools Lecture 80 AWS Cloud9 - Demo Lecture 81 Secondary AWS Services - End-User Computing Lecture 82 AWS Workspaces- Demo Lecture 83 Secondary AWS Services - Frontend Web and Mobile Services Lecture 84 AWS Amplify - Demo Lecture 85 Secondary AWS Services - IoT Services Section 7: Billing and Pricing Lecture 86 General Billing in AWS Lecture 87 Specific Billing - EC2 Lecture 88 A note for this section Lecture 89 Calculate the following Compute Costs - Calculator Exercise Lecture 90 Specific Billing - RDS Lecture 91 Calculate the following Database Costs - Calculator Exercise Lecture 92 Specific Billing - VPC Lecture 93 Calculate the following Network Costs - Calculator Exercise Lecture 94 Specific Billing - Lambda Lecture 95 Billing for other services in general Lecture 96 Calculate the following Random Service Costs - Calculator Exercise Lecture 97 How Account Structures can affect billing Lecture 98 Tools for Billing Analysis and Support Lecture 99 AWS Support Options Lecture 100 Quiz - AWS Pricing and Billing Lecture 101 Lab - Billing and Pricing Section 8: Bringing it all together Lecture 102 Summary on Cloud Computing Lecture 103 Summary on Security and Compliance Lecture 104 Summary on Technology Lecture 105 Summary on Billing and Pricing Lecture 106 What you know at the end! - Exam 1 (CLF-C02) Lecture 107 What you know at the end! - Exam 2 (CLF 01) Lecture 108 The Road ahead on your AWS Journey Lecture 109 Conclusion Lecture 110 Mock Exam - AWS Cloud Practitioner Section 9:[Optional]Sneak peek into AWS Solutions Architect Games Lecture 111 Bonus Lecture: Overview Lecture 112 AWS E-commerce Website Architecture Identification Lecture 113 Identify the Missing Data Transfer Service Lecture 114 Global Multi-Region API with Data Management Lecture 115 Identify the Missing Data Storage Service Ideal for beginners, business professionals, and anyone looking to understand AWS Cloud fundamentals. 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Free Download Aws Certified Ai Practitioner Aif-C01 Exam Preparation Guide Published 9/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.28 GB | Duration: 3h 3m Your Fast Track to Acing the Certification Exam What you'll learn Understanding of important and essential exam preparation material Concised and summarized study notes Videos containing detailed explanations, advice, and tips Guidance on how to crack the exam Requirements Understanding of AWS services preferred Description AWS Certified AI Practitioner AIF-C01 Exam Preparation Guide is designed to help you efficiently prepare and pass the AWS Certified AI Practitioner exam. It provides a structured approach called the 6 Steps to Success, that ensures comprehensive learning, helps you build the foundational knowledge, and provides you with the right guidance and practical tips to clear the certification exam. There are two possible scenarios:Scenario 1: You are familiar with AWSIf you're already familiar with AWS, have passed the AWS Cloud Practitioner exam, or have previous work experience with AWS, I would suggest you visit the section 8: Refresh your AWS skills. It will help you refresh your foundational AWS concepts.Scenario 2: You are new to AWS If you are new to AWS, you should start your preparations with the study material for AWS Certified Cloud Practitioner exam. It is completely optional if you want to sign up for the AWS Certified Cloud Practitioner certification exam. But the preparation material is important as it will clear the foundational concepts and principles on AWS Cloud. Then, you should enroll in the course on Udemy entitled AWS Solution Architect Associate (SAA-C03): Exam Readiness by Amit Prabhu. My videos and study notes in the course will help you further reinforce the concepts better. Once you are familiar and confident about the AWS services, you can start with this course. AWS Certified AI Practitioner AIF-C01 Exam Preparation Guide is structured around the five domains of the exam, with study notes and videos for each task. My detailed study notes simplify and summarize essential concepts, providing you a good compilation of all the necessary and relevant exam preparation materials. The accompanying videos provide tips, advice, and helps you identify the critical concepts that have a probability of a question being asked around them in the certification exam. Once you complete this course, take sample practice tests available in a separate course entitled Practice Tests: AWS Certified AI Practitioner Exam (AIF-C01). After consistently scoring above 80-85%, you'll be ready to confidently sit for the exam.I am available to support and assist you. Please send me a connection request via LinkedIn. I will do my best to answer your questions and clear your doubts. Good luck with the exam preparation! Overview Section 1: Introduction Lecture 1 Introduction Lecture 2 Sign your coaching contract Section 2: Domain 1: Fundamentals of AI and ML Lecture 3 1.1 Explain basic AI concepts and terminologies Lecture 4 Study Notes 1.1 Explain basic AI concepts and terminologies Lecture 5 1.2 Identify practical use cases for AI. Lecture 6 Study Notes 1.2 Identify practical use cases for AI Lecture 7 1.3 Describe the ML development lifecycle Lecture 8 Study Notes 1.3 Describe the ML development lifecycle Section 3: Domain 2: Fundamentals of Generative AI Lecture 9 2.1 Explain the basic concepts of generative AI Lecture 10 Study Notes 2.1 Explain the basic concepts of generative AI Lecture 11 2.2 Capabilities and limitations of generative AI for solving business problems Lecture 12 Study Notes 2.2 Capabilities & limitations of genAI for solving business problem Lecture 13 2.3 Describe AWS infrastructure and technologies for building generative AI apps Lecture 14 Study Notes 2.3 Describe AWS infra and technologies for building genAI apps Section 4: Domain 3: Applications of Foundation Models Lecture 15 3.1 Design considerations for applications that use foundation models Lecture 16 Study Notes 3.1 Design considerations for apps that use foundation models Lecture 17 3.2 Choose effective prompt engineering techniques Lecture 18 3.3 Describe the training and fine tuning process for foundation models Lecture 19 Study Notes 3.2 Choose effective prompt engineering techniques Lecture 20 Study Notes 3.4 Describe methods to evaluate foundation model performance Lecture 21 Study Notes 3.3 Describe training and finetuning process for foundation models Lecture 22 3.4 Describe methods to evaluate foundation model performance Section 5: Domain 4: Guidelines for Responsible AI Lecture 23 4.1 Explain the development of AI systems that are responsible Lecture 24 Study Notes 4.1 Explain the development of AI systems that are responsible Lecture 25 4.2 Recognize the importance of transparent and explainable models Lecture 26 Study Notes 4.2 Recognize the importance of transparent and explainable models Section 6: Domain 5: Security, Compliance, and Governance for AI Solutions Lecture 27 5.1 Explain methods to secure AI systems Lecture 28 Study Notes 5.1 Explain methods to secure AI systems Lecture 29 5.2 Recognize governance and compliance regulations for AI systems Lecture 30 Study Notes 5.2 Recognize governance and compliance regulations for AI systems Section 7: Important AWS Services Lecture 31 Important AWS Services Section 8: Refresh your AWS Skills Lecture 32 Refresh your AWS Skills Section 9: Conclusion Lecture 33 Conclusion AWS AI Practitioner Certification aspirants Homepage https://www.udemy.com/course/aws-certified-ai-practitioner-aif-exam-preparation-guide_amitprabhu/ TakeFile https://takefile.link/0sptcflya49m/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://takefile.link/2xxygj2phzbp/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html Rapidgator https://rg.to/file/d31ea7af2ae72553ec84bdfb7a8bf4a0/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://rg.to/file/e86a915738b623049cdb9582809f985f/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html Fikper Free Download https://fikper.com/0IKEx0i7Tg/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part1.rar.html https://fikper.com/AIQFtic3uG/sxwpx.Aws.Certified.Ai.Practitioner.AifC01.Exam.Preparation.Guide.part2.rar.html No Password - Links are Interchangeable

Free Download AWS Maching Learning and Artificial Intelligence Fundamentals Released 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 23m | Size: 99 MB Artificial intelligence (AI) and machine learning (ML) are two of the most transformative technologies driving innovation today. This course will teach you the essentials of AI and ML. You probably already know that artificial intelligence (AI) and machine learning (ML) are at the forefront of transforming technology as we know it. In this course, AWS Machine Learning and Artificial Intelligence Fundamentals, you'll gain a foundational understanding of AI and ML. First, you'll explore what AI is and how it relates to ML. Next, you'll delve into ML and unpack the end-to-end machine learning process. Finally, you'll learn about the key AI and ML services offered by AWS. When you're finished with this course, you'll have the skills and knowledge of AI and ML needed to advance your career in cloud computing and data science. Homepage https://app.pluralsight.com/library/courses/aws-ml-ai-introduction/table-of-contents TakeFile https://takefile.link/72lqcmdfwzl3/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html Rapidgator https://rg.to/file/09dd441750de53317263ce104325e535/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html Fikper Free Download https://fikper.com/70aoin0l3P/lmrsp.AWS.Maching.Learning.and.Artificial.Intelligence.Fundamentals.rar.html No Password - Links are Interchangeable

Free Download Mastering AWS Serverless - Hands-On with Core AWS Services Published 9/2024 Created by Anton Voroniuk MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 31 Lectures ( 3h 8m ) | Size: 2 GB Your Guide to AWS Serverless: Building Robust Cloud Applications What you'll learn: Understand the fundamentals of AWS Lambda and its essential role in serverless architecture. Create and deploy Lambda functions in the AWS console and automate deployments using the AWS Cloud Development Kit (CDK). Integrate AWS Lambda with API Gateway to build and manage scalable APIs that handle various data formats. Leverage DynamoDB for scalable data storage and seamlessly integrate it with your serverless applications. Apply best practices for optimizing and scaling serverless applications to ensure high performance and reliability. Troubleshoot and resolve common challenges in serverless architecture, ensuring smooth and efficient operations. Requirements: No prior experience with AWS is required, but basic programming knowledge will be helpful. Description: Are you ready to dive into the world of serverless applications but feel daunted by AWS's vast ecosystem? Do you want to learn how to build scalable, efficient applications using AWS Lambda, API Gateway, and other key services, but don't know where to start? Or maybe you're asking: How do I create a serverless API? How do I connect AWS services seamlessly? And how can I automate my deployments with ease? Your search ends here!Welcome to this practical, hands-on course designed to simplify AWS for you. We'll tackle the most crucial aspects of building and deploying serverless applications, equipping you with the skills to bring your projects to life.WHAT YOU'LL LEARN IN THIS COURSE:Understanding AWS Lambda: Get a solid grasp of AWS Lambda, its role in serverless architecture, and why it's a game-changer for scalable applications.Creating and Deploying Lambda Functions: Explore the process of setting up and configuring Lambda functions, from the basics to advanced deployment using the AWS Cloud Development Kit (CDK).Integrating with API Gateway: Learn how to create and connect APIs using API Gateway, making your Lambda functions accessible to the world while handling various data formats efficiently.Leveraging DynamoDB: Dive into DynamoDB to understand how it complements your serverless applications by providing scalable, high-performance data storage.Optimizing and Scaling: Refine your serverless architecture with best practices in automation, integration, and performance tuning to ensure your applications run smoothly and efficiently.WHY ENROLL IN THIS COURSE?Expert Guidance: Benefit from years of cloud computing experience as complex AWS concepts are broken down into easy-to-understand steps.Hands-On Learning: Gain practical experience through actionable, step-by-step tutorials that focus on real-world applications.Comprehensive Resources: Access valuable tools like checklists, templates, and project files to reinforce your learning.Continuous Support: Receive personalized guidance and answers to your questions throughout the course.Lifetime Access: Enjoy ongoing access to the course content and all future updates.Udemy Certificate: Earn a certificate of completion to showcase your newfound skills.WHY THIS COURSE?This course is designed with a strong focus on practical, real-world applications. By the end of the course, you won't just know how AWS serverless technologies work-you'll be able to build and manage your own serverless applications with confidence.WHY TRUST US?AWS Certified Solutions Architect Professional: We hold the AWS Certified Solutions Architect Professional certification, one of the most respected and challenging certifications in the cloud industry. This certification validates my deep understanding of AWS architecture and my ability to design and implement complex, scalable, and secure cloud solutions.Real-World Experience: My career has taken me from working in fast-paced start-ups to leading the development of scalable systems in growing companies. I've played a crucial role in building cloud infrastructures from the ground up, leveraging AWS serverless technologies like Lambda, API Gateway, S3, and DynamoDB to ensure rapid scaling while keeping costs under control.Entrepreneurship: I'm also the founder of my own web development company, where we specialize in creating custom web applications. My company's success is built on the robust, scalable systems we design on AWS. This hands-on experience allows me to bring real-world insights into the course, helping you understand not just the theory, but the practical application of AWS serverless technologies.WORRIED ABOUT COMMITTING? DON'T BE.This course comes with a 30-day money-back guarantee, so you can enroll with confidence.Don't miss this chance to master AWS and build powerful serverless applications. Enroll now and take your cloud computing skills to the next level! Whether you're an aspiring cloud architect or a seasoned developer, this course will give you the tools you need to succeed in the ever-evolving world of cloud computing. Who this course is for: Developers and Programmers: Individuals looking to expand their skill set in cloud computing by mastering serverless technologies on AWS. IT Professionals: Those who want to understand and implement serverless architecture in their organizations, reducing infrastructure management overhead. Cloud Architects: Professionals interested in learning how to design and deploy scalable, serverless applications using AWS Lambda, API Gateway, and other key services. Tech Enthusiasts: Anyone curious about AWS and eager to explore the possibilities of serverless computing. Entrepreneurs and Startups: Business owners looking to build cost-effective, scalable applications without the hassle of managing servers. Students and Learners: Individuals studying cloud computing or software development who want to gain practical, hands-on experience with AWS. 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