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Free Download Udemy - Ultimate AWS Crash Course by Warp Bubble Published: 3/2025 Created by: Warp Bubble MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 49 Lectures ( 5h 14m ) | Size: 4.14 GB Includes AWS Overview and high-level Description of EVERY single service in Amazon Web Services What you'll learn Understand how the AWS ecosystem really works Learn a little bit about EVERY AWS service - Compute, Container, Storage, Database, and EVERY OTHER CATEGORY, TOO Practice breaking down certification exam questions to demonstrate your expertise Recognize opportunities for YOU to dive deeper Requirements NO experience needed-and still, any experience you DO have will mean you learn even more Description This is the most efficient crash course ever created for really understanding AWS and ALL its services.IF YOU ARE AN AWS NOVICE, you'll learn how this platform has fundamentally changed the game of building technology systems-making it possible for individuals to accomplish what used to challenge huge teams.IF YOU ARE AN AWS EXPERT, you'll fill in gaps that you have in your understanding of AWS, you'll learn how to break down and pass the hardest certification exam questions, and you'll be introduced to many AWS services you probably didn't even know existed.This course touches on EVERY SINGLE AWS SERVICE. The AWS ecosystem is so broad that it can be quite overwhelming. By getting a short commentary on each and every service, you'll gain a sense for when that service may be worth your time to investigate more deeply.This course is recommended for ALL people targeting ANY AWS certification exam. ALL of the AWS exams require you to understand the design of the ecosystem, and ALMOST all of them require you to have BROAD familiarity with the different services.If you want to learn how to SUCCEED with AWS, this course is for you! See you in the first video! Who this course is for EVERYONE who uses or wants to use AWS or cloud technology ANYONE taking ANY AWS certification exam Homepage: https://www.udemy.com/course/ultimate-aws-crash-course/ [b]AusFile[/b] https://ausfile.com/370o7aqshe9b/hoqtm.Ultimate.AWS.Crash.Course.part1.rar.html https://ausfile.com/ogkrh0n3j9dx/hoqtm.Ultimate.AWS.Crash.Course.part2.rar.html https://ausfile.com/4too7hxnlf6n/hoqtm.Ultimate.AWS.Crash.Course.part3.rar.html https://ausfile.com/g9b10zce8amj/hoqtm.Ultimate.AWS.Crash.Course.part4.rar.html https://ausfile.com/7pg6g3y6lodh/hoqtm.Ultimate.AWS.Crash.Course.part5.rar.html Rapidgator https://rg.to/file/15a02138c4ea5b410443fa113f08e946/hoqtm.Ultimate.AWS.Crash.Course.part1.rar.html https://rg.to/file/f0058a4ec57fd37a452d3a320c4c81f1/hoqtm.Ultimate.AWS.Crash.Course.part2.rar.html https://rg.to/file/17ed97db422a66ae7e90dd3bc9e003fd/hoqtm.Ultimate.AWS.Crash.Course.part3.rar.html https://rg.to/file/9362ce66a5e95ef9e13ef59906aee054/hoqtm.Ultimate.AWS.Crash.Course.part4.rar.html https://rg.to/file/51f8693372953af5e9c906e73f19e7f1/hoqtm.Ultimate.AWS.Crash.Course.part5.rar.html Fikper Free Download https://fikper.com/voaGAa5T0Z/hoqtm.Ultimate.AWS.Crash.Course.part1.rar.html https://fikper.com/L18HobcXLH/hoqtm.Ultimate.AWS.Crash.Course.part2.rar.html https://fikper.com/ptgpIhvdDP/hoqtm.Ultimate.AWS.Crash.Course.part3.rar.html https://fikper.com/p3zrCBFWkS/hoqtm.Ultimate.AWS.Crash.Course.part4.rar.html https://fikper.com/w0iL7GoOgP/hoqtm.Ultimate.AWS.Crash.Course.part5.rar.html No Password - Links are Interchangeable

Free Download AWS Certified Solutions Architect Professional SAP-C02 2025 Published: 3/2025 Created by: Cloud Guru Amit MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 25 Lectures ( 5h 29m ) | Size: 3.25 GB AWS SAP-C02 with 10+ REAL Hands-on IT Projects with 100+ High Quality Practice Test Question Video Explanation What you'll learn Learn hands-on AWS DynamoDB Point-in-Recovery techniques for robust data management. Identify and address AWS EC2 security vulnerabilities using Amazon Inspector. Build and host static websites seamlessly with Amazon S3. Automate S3 bucket creation and log monitoring using AWS Lambda. Master AWS Glue ETL with projects covering quality checks, joins, schema inference, and format conversion. Query Amazon S3 data using Athena with Glue Data Catalog for database and schema configuration. Develop end-to-end AWS Kinesis producer and consumer solutions. Set up and use Amazon Aurora Serverless databases with hands-on API configurations. Explore cost and usage breakdowns with AWS Cost Explorer and create alerts for anomalies. Gain exam confidence with 100+ practice test questions and expert video explanations. Requirements Completion of the AWS Certified Solutions Architect - Associate certification is recommended. Knowledge of AWS core services like EC2, S3, RDS, and VPC. Description Take your AWS expertise to the next level with this comprehensive, hands-on SAP-C02 AWS Certified Solutions Architect - Professional course. Perfectly crafted for those aspiring to achieve advanced AWS certification, this course immerses you in practical, real-world scenarios and projects to ensure a deep understanding of AWS services and best practices.Hands-on Projects:DynamoDB Point-in-Recovery: Gain expertise in managing data recovery strategies for robust applications.AWS Glue ETL Project: Implement data quality checks, custom SQL expressions, inner joins, schema inference, and more.Amazon S3 with Athena and Glue Data Catalog: Create an S3 bucket, define schema properties, and query data with SQL.Amazon Inspector: Assess and mitigate EC2 security vulnerabilities with step-by-step guidance.Static Website with Amazon S3: Host and deploy your first secure, scalable static website.AWS Lambda: Automate S3 bucket creation and log monitoring effortlessly.AWS Kinesis Tutorial: Build end-to-end producer and consumer workflows for real-time data streaming.Amazon Aurora Serverless Database: Set up and manage a reliable, scalable serverless database.AWS Cost Explorer: Monitor and optimize your AWS spending using visualizations and anomaly detection alerts.Complete your learning journey with 100+ practice test questions and video explanations, bolstering your confidence for the SAP-C02 certification. Learn through detailed architectural diagrams used in real-world IT projects and unlock your potential as a certified professional! Who this course is for Experienced AWS professionals aiming to achieve SAP-C02 certification. Cloud architects seeking to enhance their expertise in AWS advanced services. IT professionals aspiring to design resilient, high-performing AWS architectures. Developers and engineers transitioning to solution architect roles. AWS Solutions Architect - Associate certified individuals advancing their careers. Professionals involved in optimizing AWS workloads for cost and performance. Technology consultants advising organizations on AWS cloud adoption. Individuals preparing for high-level roles in cloud strategy and solutions design. Enterprise architects planning complex, scalable cloud deployments. 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Released 3/2025 MP4 | Free Download Video: h264, 2560x1440 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 38 Lessons ( 2h 42m ) | Size: 1 GB Master AWS services like EC2, RDS, VPC, Route 53, and Docker to deploy and manage scalable cloud applications. What you will learn AWS Fundamentals - Understand AWS services, global infrastructure, and cost management. Deploy & Manage EC2 Instances - Learn how to launch, configure, and connect to virtual servers. Secure Remote Access - Master SSH connections, key pairs, and instance connectivity. Containerization with Docker - Run and manage Docker containers on AWS. Amazon RDS & Database Setup - Set up and manage a fully managed cloud database service. EC2 and RDS Communication - Enable seamless networking between AWS services. Elastic IPs & DNS Management - Work with static IP addresses and Route 53 for domain management. Real-World AWS Exercises - Hands-on projects to deploy, monitor, and manage AWS services efficiently. AWS for Developers - Build & Deploy Scalable Cloud Applications Want to master AWS cloud services and take your backend and DevOps skills to the next level? This hands-on AWS course for developers will teach you how to launch, configure, and manage virtual servers (EC2), databases (RDS), networking, and DNS (Route 53)-all while deploying real-world applications using Docker and cloud automation. Why Take This Course? Practical, Hands-On Learning - Deploy real applications on AWS step by step. In-Demand Cloud Skills - Learn cloud computing, networking, and DevOps best practices. Deep Dive into AWS Services - Gain confidence in EC2, RDS, Route 53, IAM, and more. Career-Boosting Expertise - AWS skills are highly valued in DevOps, Backend, and Cloud Engineering roles. Who Should Enroll? Developers & Software Engineers - Want to build and deploy scalable applications in the cloud. DevOps & Cloud Engineers - Looking to automate deployments and manage AWS environments. Students & IT Professionals - Aspiring to land cloud engineering roles or enhance backend skills. Career Opportunities After Completing This Course AWS Cloud Engineer - Deploy and manage cloud applications with AWS best practices. DevOps Engineer - Automate infrastructure with AWS and Docker. Backend Developer - Build scalable, high-performance applications using AWS services. Homepage: https://www.amigoscode.com/courses/aws-for-developers [b]AusFile[/b] https://ausfile.com/4csdru7wx39v/jnzkb.AmigosCode..AWS.for.Developers.part1.rar.html https://ausfile.com/buwerr7p7yd2/jnzkb.AmigosCode..AWS.for.Developers.part2.rar.html TakeFile https://takefile.link/k8lt8w0qbiwu/jnzkb.AmigosCode..AWS.for.Developers.part1.rar.html https://takefile.link/z0akrbxqy606/jnzkb.AmigosCode..AWS.for.Developers.part2.rar.html Rapidgator https://rg.to/folder/7999450/AmigosCodeAWSforDevelopers.html Fikper Free Download https://fikper.com/49oUN5hhmV/jnzkb.AmigosCode..AWS.for.Developers.part1.rar.html https://fikper.com/VNtgVDklVa/jnzkb.AmigosCode..AWS.for.Developers.part2.rar.html No Password - Links are Interchangeable

Free Download Published: 3/2025 Created by: Chetan Agrawal | Sr. Cloud Solutions Architect MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Beginner | Genre: eLearning | Language: English | Duration: 299 Lectures ( 22h 36m ) | Size: 7 GB Build strong AWS foundation | Pass AWS certification exam | 40+ Hands-on labs & full test | No prior experience required What you'll learn Clear AWS Certified Cloud Practitioner Certification exam confidently ! Build strong foundation in AWS by mastering core AWS services e.g. EC2, S3, ELB, IAM, VPC Expand your AWS knowledge across 70+ widely used AWS services 40+ hands-on exercises to further strengthening your AWS skills. 25 Sections quizzes, 1 Full practice test with explanation and 700+ slides available for download. Requirements No programming skills or IT skills required Description "A strong technical foundation is the key to a successful AWS career - build it once, build it right "With this belief, I have built this course from the ground up, drawing from a decade of AWS expertise and 20 years in IT. So get ready to immerse yourself fully into this course.. ~ChetanAbout this course:This is not just any other AWS Certification course, this course provides everything you need to know as a techie. We are going to cover even the most basics such as What is VM? What is container? How HTTPS work? How DNS works? What is object storage? What is Generative AI? and many more such topics. Hence look this as a comprehensive course beyond the AWS.This course provides you everything to pass your AWS Certified Cloud Practitioner exam (CLF-C02)This course provides the hands-on experience to get started with AWS. No prior IT or Cloud experience required. This course can be taken by absolutely beginners.Course topics:AWS Cloud - A big pictureCloud ConceptsAWS Global Infrastructure - Regions, AZ, Edge locations, Local Zones, Wavelegth zonesAWS Identity and Access Management (IAM)Amazon EC2Containers on AWS - ECS, EKSAWS Serverless - AWS Lambda & FargateLoad Balancing and Autoscaling - Application Load Balancer (ALB) and Autoscaling Group (ASG)DNS and Edge Networking - Route53, Amazon CloudFront, Global AcceleratorStorage Services - Amazon S3, Elastic Block Storage (EBS), EFS/FSxDatabases in AWS - RDS, DynamoDB, DocumentDB, Neptune etc.Big data and Analytics in AWS - Amazon Glue, EMR, Athena, RedshiftNetworking in AWS - Virtual Private Cloud (VPC), VPN, DirectConnectApplication Integration services - API gateway, AppSync, SNS, SQS, MQInfrastructure deployment - Amazon CloudFormation, CDKDevOps in AWS - CodeBuild, CodeDeploy, CodePipeline, ElasticBeanstalkInfrastructure Management - AWS Systems Manager, AWS ConfigMonitoring & Logging - Amazon CloudWatch, Amazon CloudTrail, X-RayMachine learning in AWS - Amazon SageMaker, AI Services (Rekognition, Transcribe, Polly, Translate etc.)Generative AI in AWS - Amazon Bedrock and Amazon QSecurity in AWS - AWS KMS, WAF, Shield, Secrets Manager, Inspector etc.AWS Account Management - AWS Organization, AWS Control Tower, RAMAWS Billing - AWS Calculator, AWS Cost ExplorerAWS SupportAWS Well-Architected Framework and AWS Cloud Adoption FrameworkAWS Shared responsibility modelAdditional AWS Services - AWS IoT, Migration services, License manager etc.Exam prepartion tipsFull Practice Test (65 questions)Pre-requistes:You will need an AWS account for performing all the labs. Instructions for creating an AWS account and configuring it are provided in the Course pre-requisite section. 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Free Download AWS Certified Data Engineer Associate DEA-C01 Course 2025 Published: 3/2025 Created by: Cloud Guru Amit MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 21 Lectures ( 5h 29m ) | Size: 2.7 GB AWS Certified Data Engineer with 6+ REAL Hands-on IT Projects with 140+ Practice Test Exam Question Video Explanation What you'll learn Master AWS Glue ETL for data quality, filtering, SQL expressions, joins, file format conversion, and schema inference with Glue Crawler. Learn Amazon S3 lifecycle policies with hands-on: file transition to S3 IA, Glacier, and deletion based on rules. Explore S3 versioning: enabling, disabling, and preserving deleted objects through practical demonstrations. Perform S3 Select queries: CSV/JSON parsing, using delimiters, compression, and running selective SQL queries efficiently. Implement Athena SQL queries on S3 data using Glue Data Catalog for schema and database creation. Gain skills for real-world IT projects with architecture diagrams and practical guidance for AWS solutions. Prepare for AWS DEA-C01 exam with 140+ practice questions explained via elimination techniques. Requirements Basic understanding of AWS services such as S3, Glue, and Athena is recommended. Familiarity with SQL and database concepts will be helpful. Description This course is your ultimate guide to mastering AWS Data Engineering and acing the AWS Certified Data Engineer Associate DEA-C01 exam. With real-world scenarios and architecture diagrams, this hands-on course provides in-depth learning on AWS Glue ETL, Amazon S3, Athena, and Glue Data Catalog.Hands-On Projects Covered in This Course:AWS Glue Quick Overview Project: Learn the basics of AWS Glue to get started with.AWS Glue ETL Project: Learn data quality checks, filtering, custom SQL expressions, inner joins, file format conversions, and schema inference using AWS Glue Crawler.Amazon S3 Lifecycle Policies: Create S3 buckets, upload files, and configure lifecycle rules to transition files to S3 Standard-IA after 35 days, S3 Glacier after 90 days, and delete objects after 120 days.Amazon S3 Object Versioning: Enable and disable versioning, understand version IDs, and demonstrate how deleted objects are preserved in versioning-enabled buckets.S3 Query Select: Configure S3 Select for querying CSV/JSON files, execute SQL queries like COUNT(*) and TOP rows, and export query results efficiently.Query S3 Data Using Athena: Create an S3 bucket, set up Amazon Athena, define database and schema with Glue Data Catalog, and execute SQL queries on uploaded data.Additional Highlights:Real-world architecture diagrams for IT projects.140+ practice exam questions with video explanations to prepare for the AWS DEA-C01 exam.Whether you're a beginner or a professional, this course equips you with practical skills to advance your career in cloud data engineering. Who this course is for Aspiring data engineers seeking to build hands-on expertise in AWS data engineering tools and techniques. Cloud professionals aiming to earn the AWS Certified Data Engineer Associate DEA-C01 certification. IT specialists looking to enhance their skills in data handling, ETL workflows, and cloud storage. Professionals transitioning into cloud-based data engineering roles with real-world project experience. Students and beginners with basic AWS knowledge, eager to kickstart their careers in cloud computing. Developers seeking to deepen their understanding of AWS Glue, S3, Athena, and Glue Data Catalog. Certification candidates who value exam preparation with in-depth practice tests and explanations. 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Free Download Udemy - Docker, Kubernetes & AWS with GitHub Actions for DevOps Published: 3/2025 Created by: Mukesh Phulwani MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 100 Lectures ( 14h 45m ) | Size: 7.79 GB Learn Docker, Kubernetes, AWS & GitHub Actions to build, deploy, and automate containerized applications What you'll learn Build, Manage, and Deploy Containers - Understand Docker fundamentals, create Docker images, and run containerized applications efficiently. Deploy Applications on AWS - Deploy containerized applications to AWS ECS and EKS, leveraging AWS networking concepts like VPCs, Subnets, and Load Balancers. Implement CI/CD Pipelines - Automate Docker and Kubernetes deployments using GitHub Actions and Helm Charts for seamless DevOps workflows. Understand Docker Networking - Learn how containers communicate internally and externally, and configure Docker Compose for multi-container applications. Secure and Scale Applications - Implement security best practices, manage secrets, and scale applications using horizontal and vertical scaling in Kubernetes. Use Kubernetes for High Availability - Deploy production-ready workloads with Kubernetes StatefulSets, Persistent Volumes, and Auto Scaling. Requirements Basic Development Knowledge - Familiarity with any programming language (e.g., JavaScript, Python, or Go) is helpful. AWS Account - Required for hands-on practice with AWS services like ECS, EKS, and networking. Fundamental Networking Concepts - Understanding of IPs, ports, and basic networking principles will be beneficial. Git & GitHub Basics - Knowledge of version control and working with GitHub repositories. Description Join this comprehensive Docker & Kubernetes course and learn two of the most critical technologies in modern software development!Why Learn Docker & Kubernetes?Docker and Kubernetes have revolutionized application deployment and DevOps workflows. Whether you're a developer or DevOps engineer, mastering these tools will boost your efficiency and help you build scalable applications.With Docker, you can package applications and their dependencies into lightweight, portable containers, ensuring they run consistently across different environments.With Kubernetes, you can automate, scale, and manage containerized applications efficiently in any cloud or on-premises environment.This course will take you from absolute beginner to job-ready engineer with hands-on projects and real-world deployments.What you'll learn:Docker Fundamentals - Build, manage, and run containers with Docker.Networking in Docker - Learn how containers communicate internally and externally.Multi-Container Applications - Manage microservices with Docker Compose.AWS Networking - Understand VPC, Subnets, Security Groups, NACL and Route Tables.AWS ECS - Deploy Dockerized applications to Amazon ECS.CI/CD with GitHub Actions - Automate deployments with a GitHub Actions pipeline.Kubernetes Architecture - Understand Pods, Deployments, Services, ConfigMaps, and more.Networking in Kubernetes - Learn Services and Ingress for efficient networking.AWS EKS - Deploy, scale, and manage Kubernetes clusters in Amazon Elastic Kubernetes Service (EKS).Helm Charts - Automate Kubernetes deployments with Helm.CI/CD for Kubernetes - Implement a production-grade CI/CD pipeline for Kubernetes apps.Why Take This Course?Hands-on learning - Build real-world projects using Docker, Kubernetes, and AWS.Step-by-step guidance - No prior experience required!Cloud-native deployments - Learn how to deploy applications at scale.Industry-relevant skills - Master technologies used by top companies.By the end of this course, you'll have the skills and confidence to deploy, manage, and automate containerized applications in production environments! Who this course is for Beginners who have never worked with Docker or Kubernetes. Developers who want to build and deploy containerized applications. DevOps Engineers looking to automate and scale applications. Cloud Engineers who want to deploy microservices on AWS ECS & EKS. 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Free Download Udemy - Exploring AWS IoT by Stephen Borsay Last updated: 11/2024 Created by: Stephen Borsay MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + Embedded subtitle | Duration: 79 Lectures ( 7h 43m ) | Size: 4.66 GB Device to AWS Cloud integration: Programming Embedded Devices and managing data in AWS IoT What you'll learn Program the ESP8266, ESP32, or Raspberry Pi 3 to send data to AWS IoT Core Connect to AWS free Tier and use relevant AWS services Understand MQTT, JSON, IoT, and the AWS cloud Become familiar with device to cloud communication Place IoT data into Dynamo DB by creating a table and data fields Gain competency designing graphs and using analytics on IoT data Code with basic programming structures in JavaScript, Python, and C Get experience with many AWS services vital to IoT like Lambda and S3 Learn to Create Security certificates and policy's in AWS IoT Requirements Comfortable using a PC, Mac, or a Linux computer Some knowledge of the Internet of Things ( IoT) Desire to understand device to cloud communication Experience with a basic IDE like Arduino Amazon AWS familiarity is helpful Description This course explores the various features of device to cloud communication using Amazon AWS IoT Core on a AWS free tier account. Before the course starts we need an AWS free tier account, a local installation of the AWS CLI tool, and installation of the MQTT.fx testing tool (all free). After this is set up we will program inexpensive, WiFi enabled embedded devices such as the ESP8266, ESP32, and Raspberry Pi to communicate with AWS IoT Core with MQTT. We will take advantage of free "Internet of Things" (IoT) development environments, like Mongoose OS in JavaScript, Arduino in C, Zernyth in Python, AWS FreeRTOS in C, and the AWS IoT SDK in both JavaScript and Python for the Raspberry Pi to program our inexpensive WiFi devices. You will need at least one or more of the following devices to transmit data to AWS IoT. Alternately, you can send JSON test payloads from IoT Core directly, imitating a IoT device. The course continues on with programming our embedded devices to send data from the device to the AWS cloud. To transmit our data we will use the built in MQTT broker on our devices firmware, sending JSON encoded sensor data, to the AWS IoT console. Device Development Environment Programming LanguageESP8266 12-E Mongoose OS, MicroPython JavaScript, ArduinoESP32 Arduino, Zerynth, FreeRTOS JavaScript, Python, Arduino, CRaspberry Pi 3 Model B AWS IoT SDK JavaScript, PythonFrom within the IoT console we will create AWS IoT "Rules" and "Actions" to explore many of the built in AWS IoT enabled services that are integrated in the AWS IoT Core console on the AWS cloud. Creating rules-based actions to AWS services we will send, store, file, manipulate, graph and analyze our sensor data through a variety of important AWS applications. Some of these integrated applications, using these rule-based actions, are Dynamo Database, S3, SNS, Lambda, Data Pipeline, Glue, QuickSight, AWS IoT Analytics, and SageMaker.IoT is largely the fusion of devices and the web, specifically the cloud; all sending and recording data, ubiquitously and continually, everywhere. Understanding and being able to prototype and implement an end-to-end, device to cloud path communication is a much in demand career skill. Having the skills to build a prototyping IoT solution in the cloud is already an important and highly demanded skill set for those wanting to call themselves IoT developers, and this is more true as time goes on and IoT exponentially expands as cheap connected devices become wide-spread. Remember! 30 days money-back guarantee with no questions asked. I want you to be happy with the value I believe this course provides. Who this course is for Electronic Hobbyists wanting to acquire more IoT and cloud skills Engineers interested in the Internet of Things (IoT) Web or Cloud Programmers interested in Embedded Devices and IoT on the AWS cloud Embedded device Programmers interested in learning AWS Cloud Homepage: https://www.udemy.com/course/exploring-aws-iot/ Rapidgator https://rg.to/file/31395c1b3131413be7a7ff46d6ba4bd2/ezimk.Exploring.AWS.IoT.part3.rar.html https://rg.to/file/78a2f8bb691023594c309ee14c97c5be/ezimk.Exploring.AWS.IoT.part1.rar.html https://rg.to/file/803af1139cc121dac5fe7f3a4e616d6e/ezimk.Exploring.AWS.IoT.part5.rar.html https://rg.to/file/b759cddce863e76f014d811f85cb160e/ezimk.Exploring.AWS.IoT.part2.rar.html https://rg.to/file/c5d7c6e39061dbf007ca7dd77e6dcadf/ezimk.Exploring.AWS.IoT.part4.rar.html Fikper Free Download https://fikper.com/21njUj3rvj/ezimk.Exploring.AWS.IoT.part2.rar.html https://fikper.com/Y3QqExUdU1/ezimk.Exploring.AWS.IoT.part1.rar.html https://fikper.com/ejm5EM4gEE/ezimk.Exploring.AWS.IoT.part3.rar.html https://fikper.com/lSFxBUr7lc/ezimk.Exploring.AWS.IoT.part5.rar.html https://fikper.com/qF6p88zXvO/ezimk.Exploring.AWS.IoT.part4.rar.html No Password - Links are Interchangeable

Free Download Ultimate AWS Certified Developer Associate 2025 DVA-C02 Last updated: 3/2025 Created by: Stephane Maarek | AWS Certified Cloud Practitioner,Solutions Architect,Developer MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English + Embedded subtitle | Duration: 461 Lectures ( 32h 28m ) | Size: 11.2 GB Full Practice Exam with Explanations included! PASS the Amazon Web Services Certified Developer Certification DVA-C02 What you'll learn Pass the AWS Certified Developer Associate Certification (DVA-C02) Full Practice Exam with Explanations included! All 700+ slides available as downloadable PDF Apply the right AWS services for your future real-world AWS projects Deploy an application using Elastic Beanstalk and AWS CICD tools with full automation Understand Serverless API using AWS Lambda, API Gateway, DynamoDB & Cognito Write infrastructure as code using AWS CloudFormation Implement messaging and integration patterns using AWS SQS, SNS & Kinesis Master the CLI, SDK and IAM security best practices in EC2 Monitor, Trace and Audit your microservices using CloudWatch, X-Ray and CloudTrail Secure your entire AWS Cloud using KMS, Encryption SDK, IAM Policies & SSM Requirements Know the basics of programming (functions, environment variables, CLI & JSON) No AWS cloud experience is necessary, we'll use the AWS Free Tier Windows / Linux / Mac OS X Machine Description Welcome! I'm here to help you prepare and PASS the newest AWS Certified Developer Associate exam.[DVA-C02 - February 2023 Update]: Over 60 videos have been refreshed/added to keep up with DVA-C02 exam changes[April 2022 Update]: Over 30 videos have been refreshed/added to keep up with the AWS UI changes and exam changes[April 2021 Update]: Over 100 videos have been refreshed/added to keep up with the AWS UI changes and exam changes[Dec 2020 Update]: The S3 section has been entirely re-recorded to accommodate for the AWS UI changes[May 2020 Update]: Over 200 lectures have been added or refreshed, bringing the course to 29 hours of content, and fully up to date.[July 2019 Update]: Over 30 lectures added and refreshed (~2h of video)! The course is now up to date on the newest exam topics.[Feb 2019 Update]: Keeping the course updated! Added full section on ECS (1h15m)-- -- -- -- -- -- --The AWS Certified Developer Associate certification is one of the most challenging exams. It's great at assessing how well you understand not just AWS, but the new cloud paradigms such as Serverless, which makes this certification incredibly valuable to have and pass. Rest assured, I've passed it myself with a score of 984 out of 1000. Yes, you read that right, I only made one mistake! Next, I want to help YOU pass the AWS Certified Developer Associate certification with flying colors. No need to know anything about AWS, beginners welcome!This is going to be a long journey, but passing the AWS Certified Developer exam will be worth it! 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 Developer Associate DVA-C02 examIt's packed with practical knowledge on how to use AWS inside and out as a developerIt teaches you how to prepare for the AWS 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 It has professional subtitlesAll 400+ slides available as downloadable PDFConcretely, here's what we'll learn to pass the AWS Certified Developer Associate exam:The AWS Fundamentals: IAM, EC2, Load Balancing, Auto Scaling, EBS, Route 53, RDS, ElastiCache, S3The AWS CLI: CLI setup, usage on EC2, best practices, SDK, advanced usageProperly deploy an application: AWS Elastic Beanstalk, CICD, CodeCommit, CodePipeline, CodeBuild, CodeDeployInfrastructure as code with AWS CloudFormationMonitoring, Troubleshooting & Audit: AWS CloudWatch, X-Ray, CloudTrailAWS Integration & Messaging: SQS, SNS, KinesisAWS Serverless: AWS Lambda, DynamoDB, API Gateway, Cognito, Serverless Application Model (SAM)ECS, ECR & Fargate: Docker in AWSAWS Security best practices: KMS, Encryption SDK, SSM Parameter Store, IAM PoliciesAWS Other Services Overview: CloudFront, Step Functions, SWF, RedshiftTips to ROCK the examThis course is full of opportunities to apply your knowledge: There are many hands-on lectures in every sectionThere are quizzes at the end of every sectionThere's an AWS Certified Developer Associate practice exam at the end of the course We'll be using the AWS Free Tier most of the timeI'll be showing you how to go beyond the AWS Free Tier (you know... the real world!)Take a look at these student reviews:5 stars: "I just passed my AWS Certified Developer Associate exam with 96% and this course was extremely helpful in closing the gaps in my own understanding/experience. It was very easy to follow and informative." - Derek C.5 stars: "This was a perfect match for what I was seeking. It has been about 8 years since I used the AWS cloud frequently (other clouds and hybrids). Seeing a lot of the updates to services with some hands-on has been very helpful." - James C.5 stars: "Course is presented such way in detailed level with great diagram explanation. It's helped me to clear my AWS Certified Developer Associate exam successfully with a 92% pass rate" - Edward K.5 stars: "This course was very interesting and full of great information and hands-on examples. Stephane did a very good job of assembling it all together and delivers it with so much knowledge and passion." - Abdennour T.-- -- -- -- -- -- --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 1,500,000+ 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've decided it's time for students to learn how to be an AWS Developer Associate. 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 become an AWS Certified Developer Associate and master the AWS platform! 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Free Download Udemy - AWS Services Overview For It Professionals Published: 3/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.93 GB | Duration: 2h 0m An introduction to the AWS cloud through lenses of different IT professions What you'll learn Recall and describe the different job roles in IT infrastructure, including their responsibilities and tasks. Explain how compute, networking, and storage relate to different IT job roles. Compare the different features of the main compute offerings on AWS. Evaluate the different AWS storage options and select the appropriate storage for different use cases. Assess and compare AWS monitoring services, such as Amazon CloudWatch and AWS CloudTrail. Requirements Software: A computer with internet access. Mindset and Prerequisites: A commitment to self-paced learning, with the flexibility to complete modules on your own schedule. Open-mindedness and curiosity for learning AWS concepts. Basic knowledge of Amazon Web Services is helpful but not required. This course will start with foundational concepts. Materials: All course materials, including readings, videos, and resources, will be provided within the course platform. No textbooks are required. Any supplementary readings or materials will be available for free. Description This foundational course will strengthen your understanding of AWS Services. The instructors will teach basic topics regarding computing, networking, storage, database, monitoring, security, serverless, containers, databases, and cost optimization. We will map AWS Services and features to different technical roles in cloud computing. For example, the instructors will provide an Overview of Amazon S3 from the perspective of a Solutions Architect, a Security Analyst and a Data Scientist, highlighting and explaining the top features that these roles will use. The first week covers the foundations of the AWS Cloud infrastructure. You'll learn about various compute, networking, and storage offerings on AWS. You'll also review each offering through the lenses of different IT professions. The second week, you'll learn about the various storage options on AWS, and how to select the best storage options based on various use cases. You'll also explore the key differences between relational and nonrelational (NoSQL) databases, in addition to assessing the encryption, performance, and monitoring capabilities of file systems. The final week, you'll explore monitoring, cost optimization, and security offerings on AWS. First, you'll learn about monitoring services that collect, access, and analyze your cloud operations. Then, you'll compare cost-management tools and determine the lowest-cost service or method so you can optimize your environment for cost. Finally, at the end of this week, you'll dive into cloud security by learning about the AWS shared responsibility model. You'll also learn how to compare the various AWS security services, and identify the services that you could use to enhance cloud security. IT Professionals looking to understand AWS Services Homepage: https://www.udemy.com/course/aws-services-Overview-for-it-professionals/ Rapidgator https://rg.to/file/e8024ecaa77c6afb7b7a49c6cde0f7b6/rqnpg.AWS.Services.Overview.For.It.Professionals.part1.rar.html https://rg.to/file/5503dd740e0378a713b5f46dd97bd981/rqnpg.AWS.Services.Overview.For.It.Professionals.part2.rar.html Fikper Free Download https://fikper.com/RRXnkpuqNf/rqnpg.AWS.Services.Overview.For.It.Professionals.part1.rar.html https://fikper.com/PgAxRgd0Zz/rqnpg.AWS.Services.Overview.For.It.Professionals.part2.rar.html Overview.For.It.Professionals.part1.rar.html Overview.For.It.Professionals.part2.rar.html No Password - Links are Interchangeable

Free Download Responsible AI on AWS - Bedrock Guardrails, Amazon Q Security, and SageMaker Clarify Released: 03/2025 Duration: 1h 1m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 110 MB Level: Intermediate | Genre: eLearning | Language: English Explore the cutting-edge security features of Amazon's AI services, including Bedrock, Amazon Q, and SageMaker Clarify. MLOps expert Noah Gift shows you how to implement a comprehensive security architecture that integrates multiple layers of protection. Discover methods to enforce the principle of least privilege through IAM roles and resource policies, while also using CloudTrail and CloudWatch for real-time monitoring and detailed auditing. Gain insights into advanced bias detection and model explainability with SageMaker Clarify. Learn how to configure Bedrock's guardrails for robust content filtering and validation to prevent inappropriate or harmful outputs. Enhance your understanding of security boundaries, anomaly detection, and automated security responses to maintain the integrity and confidentiality of your AI applications. By the end of this course, you will secure AI workflows, enhance performance monitoring, and ensure compliance with industry standards. This course was Created by: Noah Gift and Pragmatic AI Labs. We are pleased to host this training in our library. Homepage: https://www.linkedin.com/learning/responsible-ai-on-aws-bedrock-guardrails-amazon-q-security-and-sagemaker-clarify Rapidgator https://rg.to/file/a8291d868bdd4ff20d89a79fe9916c64/hewgr.Responsible.AI.on.AWS.Bedrock.Guardrails.Amazon.Q.Security.and.SageMaker.Clarify.rar.html Fikper Free Download https://fikper.com/AFmTDhixO4/hewgr.Responsible.AI.on.AWS.Bedrock.Guardrails.Amazon.Q.Security.and.SageMaker.Clarify.rar.html No Password - Links are Interchangeable

Free Download Data Engineering on AWS Vol 1 - OLAP & Data Warehouse Published: 1/2025 Created by: Soumyadeep Dey MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 212 Lectures ( 46h 3m ) | Size: 16.2 GB Detailed training (Level 350) on AWS Data Engineering Services Redshift, S3, Athena, Hive, Glue Catalog, Lakeformation What you'll learn Understand Data Engineering (Volume 1) on AWS using S3, Redshift, Athena and Hive Know Redshift, S3 and Athena up to Level 350+ with HANDS-ON Production level projects and hands-on to help candidates provide on-job-like training Get access to datasets of size 100 GB - 200 GB and practice using the same Learn Python for Data Engineering with HANDS-ON (Functions, Arguments, OOP (class, object, self), Modules, Packages, Multithreading, file handling etc. Learn SQL for Data Engineering with HANDS-ON (Database objects, CASE, Window Functions, CTE, CTAS, MERGE, Materialized View etc.) Requirements Good to have AWS and SQL knowledge Description This is Volume 1 of Data Engineering course on AWS. This course will give you detailed explanations on AWS Data Engineering Services like S3 (Simple Storage Service), Redshift, Athena, Hive, Glue Data Catalog, Lake Formation. This course delves into the data warehouse or consumption and storage layer of Data Engineering pipeline. In Volume 2, I will showcase Data Processing (Batch and Streaming) Services. You will get opportunities to do hands-on using large datasets (100 GB - 300 GB or more of data). Moreover, this course will provide you hands-on exercises that match with real-time scenarios like Redshift query performance tuning, streaming ingestion, Window functions, ACID transactions, COPY command, Distributed & Sort key, WLM, Row level and column level security, Athena partitioning, Athena WLM etc. Some other highlights:Contains training of data modelling - Normalization & ER Diagram for OLTP systems. Dimensional modelling for OLAP/DWH systems.Data modelling hands-on.Other technologies covered - EC2, EBS, VPC and IAM.This is Part 1 (Volume 1) of the full data engineering course. In Part 2 (Volume 2), I will be covering the following Topics.Spark (Batch and Stream processing using AWS EMR, AWS Glue ETL, GCP Dataproc)Kafka (on AWS & GCP)FlinkApache AirflowApache PinotAWS Kinesis and more. 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Free Download Advanced AI Analytics on AWS - Amazon Bedrock, Q, SageMaker Data Wrangler, and QuickSight Released 03/2025 With Noah Gift, Pragmatic AI Labs MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill Level: Advanced | Genre: eLearning | Language: English + subtitle | Duration: 1h 10m 35s | Size: 131 MB Learn to leverage AI-enhanced analytics tools like Amazon Bedrock, QuickSight, and SageMaker to enhance traditional analytics methods and optimize performance. Course details Discover how to elevate your data analytics skills using AI-enhanced tools on AWS. In this course, MLOps expert Noah Gift shows you how to integrate Amazon Bedrock for advanced code analysis and Amazon SageMaker Data Wrangler for efficient data processing. Find out how to use Amazon Q and QuickSight. Explore practical examples and real-world scenarios where AI can optimize your existing workflows and reduce costs significantly. Learn how to automatically detect anomalies, generate visual stories, and create a comprehensive data narrative. Step through the methodology for leveraging AI to enhance traditional processes and improve overall performance. This course provides valuable insights into making your analytics pipeline more efficient and cost-effective. When you complete the course, you'll be equipped to apply AI tools to drive decision-making and achieve better business outcomes. This course was Created by: Noah Gift and Pragmatic AI Labs. We are pleased to host this training in our library. Homepage: https://www.linkedin.com/learning/advanced-ai-analytics-on-aws-amazon-bedrock-q-sagemaker-data-wrangler-and-quicksight Fileaxa https://fileaxa.com/kznen73ejsvi/xdjnj.Advanced.AI.Analytics.on.AWS.Amazon.Bedrock.Q.SageMaker.Data.Wrangler.and.QuickSight.rar TakeFile https://takefile.link/d8jop561lixw/xdjnj.Advanced.AI.Analytics.on.AWS.Amazon.Bedrock.Q.SageMaker.Data.Wrangler.and.QuickSight.rar.html Rapidgator https://rg.to/file/d5a5103c0c8e0fe8cba6f7d79c47925b/xdjnj.Advanced.AI.Analytics.on.AWS.Amazon.Bedrock.Q.SageMaker.Data.Wrangler.and.QuickSight.rar.html Fikper Free Download https://fikper.com/eTsAbGWqfC/xdjnj.Advanced.AI.Analytics.on.AWS.Amazon.Bedrock.Q.SageMaker.Data.Wrangler.and.QuickSight.rar.html No Password - Links are Interchangeable

Free Download AWS, Terraform & GitHub Actions Projects - Personal Website Published: 3/2025 Created by: Ehsan Shekari MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English | Duration: 34 Lectures ( 2h 10m ) | Size: 1.1 GB Use AWS, Terraform, and GitHub Actions to Build Real-World Projects. What you'll learn Deploy a Static Website on AWS Automate Deployments with GitHub Actions Manage Infrastructure with Terraform Configure Custom Domains with Route 53 Requirements Basic Knowledge of AWS and Cloud Computing Basic Knowledge of Terraform Basic Knowledge of Git and GitHub Actions Description Master AWS, GitHub Actions, and Terraform: Deploy a Personal Website with Cloud InfrastructureReady to take your web development skills to the next level? This course will teach you how to deploy a personal website on AWS using powerful cloud technologies, including S3, CloudFront, Route 53, GitHub Actions, and Terraform. Whether you're a beginner or an experienced developer, you'll gain hands-on experience in building, automating, and scaling a secure, fast, and fully-functional website in the cloud.What you'll learn in this course:How to host a static website on AWS S3 and configure CloudFront for faster content delivery worldwide.Automate deployments with GitHub Actions, creating an efficient CI/CD pipeline for faster updates and error-free deployments.Use Terraform to define and provision your AWS infrastructure with Infrastructure as Code (IaC) principles, ensuring your setup is maintainable.Connect your personal domain to your AWS website using Route 53, and set up SSL certificates for secure browsing.Why enroll?Learn from real-world examples and gain practical experience with industry-leading tools used by professionals worldwide.Master cloud technologies like AWS, Terraform, and GitHub Actions that are in high demand in today's tech market.Deploy your own website, manage it with ease, and make updates effortlessly with automated processes.Ideal for developers, engineers, and tech enthusiasts who want to enhance their cloud skills Whether you're building a personal portfolio, blog, or small business website, this course will give you the skills to create it in the right way.Enroll now and get started building your cloud-based website today! Who this course is for All Backend Developers All Software Engineers Cloud Computing and CI/CD Enthusiasts Homepage: https://www.udemy.com/course/aws-terraform-github-actions-projects-personal-website/ Fileaxa https://fileaxa.com/zrlexeqt72qj/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar https://fileaxa.com/c1dokod1weef/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar TakeFile https://takefile.link/fu8zmbu7y259/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://takefile.link/nzrr4tq4piu4/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html Rapidgator https://rg.to/file/603af00e28666ab0fa7300e4eb49b21b/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://rg.to/file/7384882be87bf780a9d1492a1a01a9a2/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html Fikper Free Download https://fikper.com/IZ4BOo5vjE/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part1.rar.html https://fikper.com/GNZ7M4kgyI/kevoa.AWS.Terraform..GitHub.Actions.Projects.Personal.Website.part2.rar.html No Password - Links are Interchangeable

Free Download AWS Lambda & Serverless Framework - Build Ecommerce APIs Published: 3/2025 Created by: Macaulay Famous,Maclay Academy MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 136 Lectures ( 8h 13m ) | Size: 3.91 GB Build E-commerce APIs | AWS Lambda, Serverless Framework ,AWS Services, Node.js, Microservices & IaC & Cloud Deployment What you'll learn Develop and deploy AWS Lambda functions properly with the Serverless Framework Authentication and Authorization Learn the fundamentals and advanced options of AWS Lambda Deploy real world project that interact with Amazon Cognito, SQS, S3, SES, SNS, EventBridge, API Gateway, DynamoDB, CloudWatch and many more REST API Development Microservices Architecture Data Persistence (DynamoDB) Software Development with NodeJS Cloud Infrastructure & AWS Services Learn AWS Lambda with a hands-on project. Requirements Everything is explained from scratch; just be willing to learn and be patient. Description Course DescriptionAre you ready to master AWS Lambda, Serverless Framework, and Cloud Infrastructure? This course will teach you how to build, deploy, and scale e-commerce APIs using AWS Lambda with Node.js, microservices, and Infrastructure as Code (IaC).What You Will LearnServerless development: Build scalable, event-driven applications using AWS Lambda and API GatewayAWS Lambda with Node.js: Write and deploy Lambda functions using Node.jsInfrastructure as Code (IaC): Automate deployments using Serverless Framework and AWS CloudFormationMicroservices architecture: Design and deploy modular, scalable microservices in the cloudE-commerce APIs: Develop real-world APIs using AWS Lambda, DynamoDB, and AWS servicesAWS Services: Work with API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, SES, Step Functions, Cognito, CloudWatch, IAM, and moreCloud deployment: Deploy, monitor, and optimize applications in AWS CloudWho Is This Course For?Developers looking to master AWS Lambda and serverless architectureBackend engineers who want to build scalable, cloud-native microservicesSoftware engineers seeking to advance their careers in serverless computingCareer OpportunitiesBy completing this course, you can pursue roles such as:Serverless DeveloperAWS Cloud EngineerBackend Engineer (Microservices and Serverless)By the end of this course, you will be able to design, develop, and deploy production-ready serverless applications on AWS Lambda with confidence. Who this course is for A backend developer looking to transition from traditional server-based architectures to serverless solutions A Node.js developer who wants to build and deploy applications using AWS Lambda and Serverless Framework A cloud computing enthusiast eager to learn AWS services like API Gateway, DynamoDB, S3, SQS, SNS, EventBridge, Cognito, and more A tech professional who wants to gain hands-on experience in deploying and managing microservices A freelancer or entrepreneur who wants to build and scale eCommerce applications using AWS Serverless Homepage: https://www.udemy.com/course/aws-lambda-serverless-framework-build-ecommerce-apis/ Rapidgator https://rg.to/file/4e6500a0198dbaef6188283d64b778d9/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part1.rar.html https://rg.to/file/5ec01129529e95fa6bbc3a552132be54/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part2.rar.html https://rg.to/file/deebc6cff82bbde1202b28ac4ae122c5/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part3.rar.html https://rg.to/file/fa5ce36f7c5a32564b8d184ef6cde0dc/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part4.rar.html https://rg.to/file/179cd31f16e8c7d50b36b34cf3533921/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part5.rar.html Fikper Free Download https://fikper.com/pFXrwxNI6q/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part1.rar.html https://fikper.com/TJ015mS71t/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part2.rar.html https://fikper.com/9VWfNAqwLN/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part3.rar.html https://fikper.com/1zpRSqdPvn/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part4.rar.html https://fikper.com/W533eOg0w1/bobtz.AWS.Lambda..Serverless.Framework.Build.Ecommerce.APIs.part5.rar.html No Password - Links are Interchangeable

Free Download Terraform on AWS - Infrastructure as Code (IaC) Masterclass Published: 3/2025 Created by: DevOps Door Training MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Expert | Genre: eLearning | Language: English | Duration: 13 Lectures ( 10h 50m ) | Size: 4.2 GB Master Terraform and AWS with real-world projects, scalable infrastructure automation, and production-ready deployments. What you'll learn Master Terraform from Basics to Advanced - Learn the core concepts and best practices for production environments Automate AWS Infrastructure - Deploy scalable VPCs, EC2, RDS, IAM, S3, etc using Terraform Use Terraform Modules & Workspaces - Implement reusable infrastructure code for efficient management Terraform State Management - Work with remote state (S3), state locking, and versioning. Security Best Practices - Secure AWS resources, manage secrets, and enforce compliance CI/CD with Terraform - Integrate infrastructure provisioning using your CI/CD tools Multi-Cloud & Hybrid Deployments - Deploy infrastructure across AWS, Azure, and Google Cloud Capstone Project - Implement a real-world AWS infrastructure with Terraform, optimizing cost, security, and automation Requirements Basic AWS & Cloud Knowledge - Familiarity with AWS services (EC2, S3, IAM) is helpful but not mandatory Basic Linux & CLI Experience - Ability to work with the command line and edit scripts No Prior Terraform Experience Required - This course starts from scratch and builds up to advanced topics A Laptop/PC with Admin Rights - You'll need Terraform, AWS CLI, and a free-tier AWS account. Description Master Terraform and AWS with real-world projects, scalable infrastructure automation, and production-ready deployments.Modern cloud infrastructure demands automation, scalability, and efficiency-and Terraform is the industry-leading tool for managing cloud resources as code. If you're a DevOps Engineer, Cloud Architect, or System Administrator, mastering Terraform is a crucial skill to deploy and manage AWS infrastructure effectively.This project-based, hands-on course teaches you how to automate AWS infrastructure using Terraform from scratch to advanced levels. You'll learn real-world Terraform best practices, including modular infrastructure, remote state management, security, and multi-cloud deployments. Unlike other courses that focus on basic concepts, this training dives deep into production-grade Terraform workflows, covering CI CD automation, security integration, and Terraform enterprise strategies.You'll gain hands-on experience by building AWS architectures such as VPCs, EC2 instances, RDS databases, IAM roles, Lambda functions, Kubernetes clusters, and multi-region deployments. By the end, you'll have a portfolio-ready project showcasing a fully automated cloud infrastructure using Terraform.This course is job-focused, not certification-focused-our goal is to prepare you for real-world DevOps and Cloud Engineering roles by making Terraform an essential part of your skillset. Let's build and automate cloud infrastructure like a pro! Thank you and please let us know your suggestions on improvements. Who this course is for DevOps Engineers & Cloud Architects - Automate and manage AWS infrastructure efficiently System Administrators & IT Professionals - Transition to Infrastructure as Code (IaC) Software Developers & SREs - Deploy cloud applications with scalable infrastructure Cloud & Security Engineers - Implement Terraform in compliance-driven environments Anyone looking to master Terraform - Gain real-world skills for job-readiness Homepage: https://www.udemy.com/course/terraform-on-aws-infrastructure-as-code-iac-masterclass/ Rapidgator https://rg.to/file/f072d9ae8e77aea2e3c1b98a6384e387/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part1.rar.html https://rg.to/file/62ddd7197d3971a505fe7a4435ea52b1/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part2.rar.html https://rg.to/file/b778b2eb129e03bc3b7d672f471b8050/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part3.rar.html https://rg.to/file/663206a2ceea16551673a22d0472f9cd/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part4.rar.html https://rg.to/file/c0bcca738e495a75100cf96dd2c5e606/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part5.rar.html Fikper Free Download https://fikper.com/tkUN4Pxwc7/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part1.rar.html https://fikper.com/oaJPzCD9Xx/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part2.rar.html https://fikper.com/19SMHKNfph/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part3.rar.html https://fikper.com/ZluwnmlNNH/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part4.rar.html https://fikper.com/6p8PBZVekJ/omfnl.Terraform.on.AWS.Infrastructure.as.Code.IaC.Masterclass.part5.rar.html No Password - Links are Interchangeable

Free Download AWS Bedrock - Quick Guide for Busy Professionals Published: 3/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 50m | Size: 828 MB Learn AI-Driven Applications with Amazon Bedrock-Fast, Practical, and Designed for Your Busy Schedule. What you'll learn Gain a Deep Understanding of AWS Bedrock's Capabilities Explore Different Foundation Models & Their Use Cases Work With Text and Images To Build AI-Powered Applications Swap different AI Models Using AWS Beddock Code Walkthrough & Deep Understanding- Grasp the logic behind the code No Nonsense Approach : Get the most ROI For Your Time Requirements Prior Porgramming experience/Zeel to learn and grow AWS and Github account is required Description Accelerate Your AI Journey with Amazon BedrockThis course is specifically tailored for busy professionals seeking a practical and efficient pathway to mastering AWS Bedrock. Whether you're an engineer, developer, or a technology leader, you'll quickly acquire the essential knowledge and skills to leverage AWS Bedrock's powerful AI capabilities in your projects.What to Expect from This Course:Deep Understanding of AWS Bedrock's Capabilities: Gain clarity and practical insights into what AWS Bedrock offers, empowering you to harness its full potential to drive innovation.Exploration of Different Foundation Models & Use Cases: Examine the strengths and applications of various foundation models available within AWS Bedrock, enabling you to select the right tools for your specific business or project needs.Hands-on Work with Text and Images: Learn to build AI-driven applications that intelligently process both textual and visual data, enriching user experiences and automating critical workflows.How This Course Is Structured:Cut-to-the-Chase Approach: This course is designed to respect your time. We eliminate unnecessary theory and deliver concise, relevant content to ensure rapid and effective learning.Hands-on Setup & Code Understanding: Follow streamlined yet thorough guidance for quick setup, allowing you to spend more time actively engaging with AWS Bedrock and less time troubleshooting.Detailed Code Walkthroughs & Logical Insights: Dive deep into structured code examples, fully explained to ensure you grasp the logic behind every line. This approach equips you to independently extend and adapt the examples to your unique Requirements.Join this course today and quickly become proficient in AWS Bedrock, transforming your ability to build innovative AI-powered solutions efficiently. Who this course is for Course is Designed for Engineers Who Quickly want to evaluate the power of AWS Bedrock Cut-to-the-Chase Approach -No fluff, just what you need Hands-on Setup & Code Understanding - Maximize learning without wasting time Homepage: https://www.udemy.com/course/aws-bedrock-quick-guide-for-busy-professionals/ Rapidgator https://rg.to/file/17944cca1c8683a30b3ce0825b56a667/awdmt.AWS.Bedrock..Quick.Guide.for.Busy.Professionals.rar.html Fikper Free Download https://fikper.com/QDwREIcfz5/awdmt.AWS.Bedrock..Quick.Guide.for.Busy.Professionals.rar.html No Password - Links are Interchangeable

Free Download Udemy - AWS Certified AI Practitioner (AIF-C01) By Chad Smith Released 3/2025 By Chad Smith MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 5h 43m | Size: 1.51 GB Table of contents Introduction AWS Certified AI Practitioner (AIF-C01): Introduction Module 1: Exam Foundation Module Introduction Lesson 1: Exam Guide Learning objectives 1.1 Introduction 1.2 Target Candidate Description 1.3 Exam Content 1.4 Exam Question Domains Module 2: Fundamentals of AI and ML Module Introduction Lesson 2: Basic AI Concepts Learning objectives 2.1 Basic AI Terminology 2.2 Introduction to Machine Learning 2.3 Introduction to Deep Learning 2.4 Question Breakdown 1 2.5 Question Breakdown 2 Lesson 3: Practical Use Cases For AI Learning objectives 3.1 AI Patterns and Anti-patterns 3.2 ML Techniques 3.3 Real-world AI Applications 3.4 AWS Managed AI/ML Services 3.5 Question Breakdown 1 3.6 Question Breakdown 2 Lesson 4: ML Development Lifecycle Learning objectives 4.1 ML Pipeline Components 4.2 ML Model Sources and Deployment Types 4.3 Introduction to ML Ops 4.4 AWS ML Pipeline Services 4.5 ML Model Performance Metrics 4.6 Question Breakdown 1 4.7 Question Breakdown 2 Module 3: Fundamentals of Generative AI Module Introduction Lesson 5: Basic Concepts of Generative AI Learning objectives 5.1 Basic Generative AI Terminology 5.2 Generative AI Use Cases 5.3 Foundation Model Lifecycle 5.4 Question Breakdown 1 5.5 Question Breakdown 2 Lesson 6: Generative AI Capabilities and Limitations Learning objectives 6.1 Generative AI Advantages 6.2 Generative AI Disadvantages 6.3 Model Selection Decision Tree 6.4 Generative AI Business Value and Metrics 6.5 Question Breakdown 1 6.6 Question Breakdown 2 Lesson 7: AWS Generative AI Offerings Learning objectives 7.1 AWS Generative AI Services and Features 7.2 AWS Generative AI Advantages and Benefits 7.3 AWS Generative AI Cost Tradeoffs 7.4 Question Breakdown 1 7.5 Question Breakdown 2 Module 4: Applications of Foundation Models Module Introduction Lesson 8: Foundation Model Design Learning objectives 8.1 Pre-trained Model Selection Criteria 8.2 Model Inference Parameters 8.3 Introduction to RAG 8.4 Introduction to Vector Databases 8.5 AWS Vector Database Service 8.6 Foundation Model Customization Cost Tradeoffs 8.7 Generative AI Agents 8.8 Question Breakdown 1 8.9 Question Breakdown 2 Lesson 9: Foundation Model Performance Learning objectives 9.1 Foundation Model Performance Metrics and Evaluation 9.2 Foundation Model Business Objective Criteria 9.3 Question Breakdown 1 9.4 Question Breakdown 2 Lesson 10: Foundation Model Training and Fine Tuning Learning objectives 10.1 Foundation Model Training 10.2 Foundation Model Fine-tuning 10.3 Foundation Model Data Preparation 10.4 Question Breakdown 1 10.5 Question Breakdown 2 Lesson 11: Prompt Engineering Learning objectives 11.1 Prompt Workflow 11.2 Prompt Engineering Concepts 11.3 Prompt Engineering Techniques 11.4 Prompt Engineering Best Practices 11.5 Prompt Engineering Risks and Limitations 11.6 Question Breakdown 1 11.7 Question Breakdown 2 Module 5: Responsible and Secure AI Solutions Module Introduction Lesson 12: Responsible AI System Development Learning objectives 12.1 Responsible AI Features 12.2 AWS Responsible AI Tools 12.3 Responsible AI Model Selection Practices 12.4 Generative AI Legal Risks 12.5 AI Dataset Characteristics 12.6 AI Bias and Variance 12.7 AWS AI Bias Detection Tools 12.8 Question Breakdown 1 12.9 Question Breakdown 2 Lesson 13: Transparent and Explainable AI Models Learning objectives 13.1 Transparency and Explainability Definitions 13.2 AWS Transparency and Explainability Tools 13.3 AI Model Safety and Transparency Tradeoffs 13.4 Human-centered AI Design Principles 13.5 Question Breakdown 1 13.6 Question Breakdown 2 Lesson 14: AI Security Learning objectives 14.1 AWS AI Security Services and Features 14.2 Data Citations and Origin Documentation 14.3 Secure Data Engineering Best Practices 14.4 AI Security and Privacy Considerations 14.5 Question Breakdown 1 14.6 Question Breakdown 2 Lesson 15: AI Governance and Compliance Learning objectives 15.1 AWS Governance and Compliance Services 15.2 Data Governance Strategies 15.3 Governance Protocols and Compliance Standards 15.4 Question Breakdown 1 15.5 Question Breakdown 2 Summary AWS Certified AI Practitioner (AIF-C01): Summary DOWNLOAD NOW: Udemy - 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Free Download Udemy - AWS Certified Solutions Architect 2025 - Anki Decks Published: 2/2025 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 32m | Size: 286 MB AWS Certified Solutions Architect 2025 | Prepare yourself with real Exams questions and Anki, 700+ questions What you'll learn Familiarize yourself with real AWS Certified Solutions Architect exam-style questions, learning how to analyze and answer them correctly to improve your perform Leverage Anki's spaced repetition system to retain key AWS concepts, ensuring you remember essential details needed to pass the certification exam. Gain in-depth explanations for each exam question, understand why certain answers are correct, and develop a strategic approach to tackling tricky questions. Simulate real exam conditions, identify weak areas, and build the confidence needed to pass the AWS Certified Solutions Architect exam on your first attempt. Requirements No se necesita experiencia previa Description ANKI DECKS QUESTIONS - AWS EXAMS Are you preparing for the AWS Certified Solutions Architect (SAA-C03) exam and looking for a proven way to retain key concepts? This course offers a comprehensive Anki flashcard deck with real exam questions, with access to over 700 real exam-style questions, carefully designed with detailed explanations that clarify why the correct answer is right and why the others are wrong.- 700+ questions covering AWS core services, security, networking, and architecture best practices.- New decks coming soon! Stay updated with additional questions and improvements.- Get access to a carefully curated question bank covering AWS core services, best practices, security, networking, and architecture principles.- Improve retention with Anki's active recall method for long-term memory.- Understand each answer with in-depth explanations and exam strategies.- Simulate real exam conditions to boost confidence and ensure success.- MOBILE-COMPATIBLE - so you can conveniently review everywhere, anytime with your smartphone!Perfect for aspiring AWS professionals, IT engineers, DevOps specialists, and developers who want to pass the certification on their first attempt!My Old-ExperienceWhen I was preparing for the AWS Certified Solutions Architect (SAA-C03) exam, I went through many courses and materials, testing different exam questions, study strategies, and memory techniques. I realized that while many courses had useful questions, they were scattered and often lacked clear explanations.So, I decided to gather the best exam-style questions, add detailed explanations, and structure them into an Anki flashcard deck. This way, you can study efficiently, lightly, and without wasting time searching through multiple resources. Who this course is for Aspiring AWS Certified Solutions Architects preparing for the certification exam. IT professionals and cloud engineers who want to test their AWS knowledge with real exam-style questions. Anyone who wants to reinforce AWS concepts using Anki's active recall and spaced repetition techniques. Homepage: https://www.udemy.com/course/exams-aws-certified-solutions-architect-2025-anki-decks/ DOWNLOAD NOW: Udemy - AWS Certified Solutions Architect 2025 - Anki Decks Fileaxa https://fileaxa.com/9r9n0od39ken/ozjsh.AWS.Certified.Solutions.Architect.2025..Anki.Decks.rar TakeFile https://takefile.link/iema40xuqu0r/ozjsh.AWS.Certified.Solutions.Architect.2025..Anki.Decks.rar.html Rapidgator https://rg.to/file/2b4aa14b1ca1e029b98b7c37dd095eed/ozjsh.AWS.Certified.Solutions.Architect.2025..Anki.Decks.rar.html Fikper Free Download https://fikper.com/JbiJakG1zM/ozjsh.AWS.Certified.Solutions.Architect.2025..Anki.Decks.rar.html : No Password - Links are Interchangeable

Free Download AWS Certified Solutions Architect - Associate (SAA-C03) - Scaling and Decoupling Architectures Released 2/2025 By Andru Estes MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 13h 40m | Size: 2.54 GB Scalable architectures are critical in AWS. In this course, you will learn about decoupling, scaling, and automating workloads, as well as how each of these principles can help you for your AWS Certified Solutions - Architect exam. Becoming an AWS Solutions Architect requires that you have a deep understanding of the entire AWS ecosystem and an understanding of properly designing optimized, decoupled architectures. In this course, AWS Certified Solutions Architect - Associate (SAA-C03): Scaling and Decoupling Architectures, you're going to learn to efficiently implement AWS services and best practices to achieve this. First, you'll explore how to leverage Elastic Load Balancers to front Auto Scaling Groups for self-healing architectures, as well as implementing messaging queues via Amazon SQS. Next, you'll discover how to leverage serverless options for event-driven designs, including Amazon ECS containers, AWS Lambda functions, and Amazon EventBridge buses. Finally, you'll learn how to implement different networking and application caching features to improve response times of your applications using services like Amazon CloudFront and AWS Global Accelerator. 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 different AWS services, as well as successfully implement them into real-world designs. Homepage: https://app.pluralsight.com/library/courses/aws-saa-c03-certified-solutions-architect-associate-scaling-decoupling-architecture/table-of-contents DOWNLOAD NOW: AWS Certified Solutions Architect - Associate (SAA-C03) - Scaling and Decoupling Architectures Fileaxa https://fileaxa.com/0a73vykh71bl/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part1.rar https://fileaxa.com/28agpydqvcrf/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part2.rar https://fileaxa.com/7gxu7i9202fk/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part3.rar TakeFile https://takefile.link/1udz8fgy2dev/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part1.rar.html https://takefile.link/gs2hg81564ig/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part2.rar.html https://takefile.link/ku9s842u1crn/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part3.rar.html Rapidgator https://rg.to/file/761ca4d027a5c95744f58cadf3624558/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part1.rar.html https://rg.to/file/35d52cc4e40c110d3f40a0aaa658989a/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part2.rar.html https://rg.to/file/a9bdd2b3e610fec28d70cf178689d879/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part3.rar.html Fikper Free Download https://fikper.com/ogGXbkwTUD/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part1.rar.html https://fikper.com/NpXjUdOqmT/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part2.rar.html https://fikper.com/KecFOwVzUT/ervgy.Pluralsight..AWS.Certified.Solutions.Architect..Associate.SAAC03.Scaling.and.Decoupling.Architectures.part3.rar.html : No Password - Links are Interchangeable

Free Download Udemy - Aws Certified Ai Practitioner - Aif-C01 Published: 2/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 4.12 GB | Duration: 7h 58m Prepare yourself for the AWS Certified AI Practitioner certification exam What you'll learn Students will gain a strong foundation knowledge on Machine Learning and Artificial Intelligence. Students will get lots of hands-on view onto using services on AWS for Machine Learning and Artificial Intelligence Students will familiarize with services such as Amazon SageMaker, Bedrock and other services related to the field of Machine Learning and AI Students will gain foundation knowledge when it comes to Generative AI. Students will be better prepared to attempt the AWS Certified AI Practitioner exam. Requirements No prior knowledge is needed on Machine Learning and Artificial Intelligence. We will cover all core concepts in this course. No prior knowledge is needed on AWS. We will learn in the course itself on how to use the services when it comes to Machine Learning and Artificial Intelligence. Description Few words have been spoken more often than 'Generative AI' in today's world. We are witnessing an extraordinary transformation, and it's crucial that we stay prepared and up-to-date with advancements in Artificial Intelligence.The AWS Certified AI Practitioner exam is an excellent starting point. This exam covers the foundational aspects of Machine Learning and AI services offered on AWS, providing a solid foundation for anyone looking to enter the AI field.So what all are we going to cover in this courseFirst and foremost we'll cover the foundational aspects of Machine Learning - We'll learn about the Machine Learning process, how data plays an important role.Then we move into using tools such as Amazon SageMaker Canvas, Data Wrangler to create our Machine Learning model. We'll see how to perform classification and regression from a no-coding aspect.When it comes to Machine Learning, we'll also go through important aspects such as Responsible AI, MLOps, Machine Learning Lifecycle - AWS Well-Architected Framework etc.Then we will move onto learning about the different AWS Managed AI services. This includes the Amazon Comprehend, Amazon Rekognition and other AWS Managed AI services.Then we'll push into learning about Generative AI. We will first have a quick Overview on the different foundation models such as OpenAI GPT, Anthropic Claude etc.Next, we'll move onto using Amazon Bedrock on AWS. Will look into using the foundation models available on Amazon Bedrock. Look at the ever important aspect of Prompt Engineering.Next will dive into Security, Governance and Security. We will understand how services like AWS CloudWatch, AWS CloudTrail and many others can supplement the security aspect of our AI-based applications.Finally we have a Practice Test Section - As part of this course, you will have free access to two practice tests. These will allow you to assess your understanding and gauge how well you've grasped the key concepts covered throughout the course.It's the future and its now. Start your path into the world of Artificial Intelligence. Overview Section 1: Introduction Lecture 1 How has the course been structured Lecture 2 Introduction to Cloud Computing Lecture 3 Using Amazon Web Services as a cloud service Lecture 4 Lab - Creating an AWS Account Lecture 5 Accessing your AWS Account Lecture 6 Our first AWS service - Amazon S3 Lecture 7 Lab - Working with Amazon S3 Lecture 8 Review of Amazon S3 Section 2: Let's work on Machine Learning Lecture 9 Understanding different terms Lecture 10 Considering Machine Learning Lecture 11 Broad-level understanding of the Machine Learning process Lecture 12 Data - The star of the show Lecture 13 Different types of data Lecture 14 Different types of Machine Learning tasks Lecture 15 Amazon SageMaker AI Lecture 16 Quick Intro on different compute options Lecture 17 Lab - Building an EC2 Instance Lecture 18 Lab - Connecting to the EC2 Instance Lecture 19 A note on the costing aspect Lecture 20 Lab - Creating an Amazon SageMaker domain Lecture 21 Quick tour of Amazon SageMaker Studio Lecture 22 Our data set Lecture 23 Lab - Launching SageMaker Canvas Lecture 24 Lab - Amazon Canvas - Data Wrangler - Ingesting our data Lecture 25 Lab - Amazon Canvas - Data Wrangler - Data Insights Lecture 26 Lab - Amazon Canvas - Data Wrangler - Transforming data Lecture 27 Lab - Amazon Canvas - Training the Model Lecture 28 Lab - Amazon Canvas - Making predictions Lecture 29 Amazon Canvas - Analyzing results Lecture 30 Amazon SageMaker feature store Lecture 31 Gotcha's when using training data Lecture 32 Amazon SageMaker - Using the ready-to-use models Lecture 33 Amazon SageMaker Jumpstart Lecture 34 Amazon SageMaker Clarify Lecture 35 Amazon SageMaker Ground Truth Lecture 36 Synthetic data Lecture 37 Different use cases for usage of Machine Learning Lecture 38 Principles of Response AI Lecture 39 Overview on MLOps Lecture 40 Machine Learning Lifecycle - AWS Well-Architected Framework Section 3: AWS Managed AI services Lecture 41 Using the inbuilt AWS AI services Lecture 42 Amazon Comprehend Lecture 43 Lab - Using the Amazon Comprehend service Lecture 44 Amazon Textract Lecture 45 Lab - Using the Amazon Textract service Lecture 46 Amazon Transcribe Lecture 47 Lab - Using Amazon Transcribe Lecture 48 Amazon Rekognition Lecture 49 Lab - Using Amazon Rekognition Lecture 50 Amazon Polly Lecture 51 Lab - Using Amazon Polly Lecture 52 Amazon Translate Lecture 53 Lab - Amazon Translate Lecture 54 Amazon Forecast Lecture 55 Amazon Lex Lecture 56 Lab - Using Amazon Lex Lecture 57 Amazon Personalize Lecture 58 Amazon Comprehend Medical Lecture 59 Amazon Kendra Section 4: Generative AI Lecture 60 Large Language Models Lecture 61 What is a Foundation Model Lecture 62 Introduction to Generative AI Lecture 63 A look at using ChatGPT Lecture 64 Anthropic Claude Lecture 65 Stable Diffusion Lecture 66 Hugging Face Lecture 67 Meta Llama Lecture 68 What is Amazon Bedrock Lecture 69 Lab - Amazon Bedrock - Requesting access to models Lecture 70 Amazon Bedrock - Using Amazon Titan Model Lecture 71 Amazon Bedrock - Using Amazon Titan Image Generator Lecture 72 Amazon Bedrock - Inference parameters Lecture 73 Prompt Engineering Lecture 74 Prompt Engineering - Be clear Lecture 75 Prompt Engineering - Different types of prompts Lecture 76 Prompt Engineering - Using system prompts Lecture 77 Prompt Engineering - Passing data and instructions Lecture 78 Prompt Engineering - Prompt Templates Lecture 79 Prompt Engineering - Resources Lecture 80 When to choose what model Lecture 81 Evaluating Foundation Models Lecture 82 Customizing foundation models Lecture 83 Amazon Q Developer Lecture 84 Lab - Amazon RDS Aurora - Launching an instance Lecture 85 Lab - Amazon RDS Aurora - Connecting to the database Lecture 86 Lab - Amazon RDS Aurora - Connecting to the database - Resources Lecture 87 What is Amazon OpenSearch Lecture 88 What is RAG - Retrieval Augmented Generation Lecture 89 Amazon Bedrock - Knowledge base - Chat with your document Lecture 90 Lab - Amazon Bedrock - Knowledge Base - Implementation Overview Lecture 91 Lab - Amazon Bedrock - Knowledge Base - Creating an IAM user Lecture 92 Lab - Amazon Bedrock - Knowledge Base - Implementation Lecture 93 Challenges on using Generative-AI Lecture 94 Amazon Bedrock Guardrails Lecture 95 Lab - Amazon Bedrock Guardrails Lecture 96 Amazon Bedrock Agents Lecture 97 More on Amazon Bedrock pricing Section 5: Security and Monitoring on AWS Lecture 98 Identity and Access Management Lecture 99 IAM Users and Groups Lecture 100 AWS Key Management service and Amazon Bedrock Lecture 101 What is Amazon CloudWatch Lecture 102 Amazon Bedrock and Amazon CloudWatch Lecture 103 Lab - Amazon Bedrock and Amazon CloudWatch Lecture 104 What is AWS CloudTrail Lecture 105 Amazon Bedrock - AWS PrivateLink Lecture 106 Amazon SageMaker and network isolation Lecture 107 Amazon Macie Lecture 108 AWS Config Lecture 109 AWS Artifact Lecture 110 AWS Audit Manager Lecture 111 AWS Trusted Advisor Lecture 112 Quick note on the design of a conversational chatbot Lecture 113 Securing your Gen-AI applications Lecture 114 Generative AI Security Scoping Matrix Section 6: Practice Tests This course is for students who wants to enter the world of Machine Learning, Artificial Intelligence and Gen-AI. This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI. This course is meant for students who wants to give the AWS Certified AI Practitioner exam.,This course will teach students on how to use services on AWS when it comes to Machine Learning, Artificial Intelligence and Gen-AI.,This course is meant for students who want to give the AWS Certified AI Practitioner exam. 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Free Download Linkedin - Running Jenkins on AWS Updated: 02/2025 Duration: 2h 7m | .MP4 1280x720, 30 fps(r) | AAC, 48000 Hz, 2ch | 356 MB Level: Intermediate | Genre: eLearning | Language: English Learn how to create and move a master instance of Jenkins to the cloud-based servers of AWS (Amazon Web Services). In this course, instructor Michael Jenkins covers steps for setting up Jenkins, creating a build environment, connecting with webhooks, using a deployment service, and shutting down AWS resources. First, Michael shows you how to create a master instance of Jenkins, including how to configure a security group, a NGINX reverse proxy, and your Jenkins master instance. Next, he steps through creating a build environment and connect the Jenkins master server to the build server. Michael explains what a webhook is and how you can create and test one. He goes over how to deploy using Elastic Beanstalk. Finally, Michael discusses how to stop or remove AWS resources. Homepage: https://www.linkedin.com/learning/running-jenkins-on-aws-8591136 TakeFile https://takefile.link/vutg3of9nyb8/jdcbq.Linkedin...Running.Jenkins.on.AWS.rar.html Fileaxa https://fileaxa.com/q4nm3we4d3db/jdcbq.Linkedin...Running.Jenkins.on.AWS.rar Rapidgator https://rg.to/file/5902df6ff134222a4145a55ca5b731e4/jdcbq.Linkedin...Running.Jenkins.on.AWS.rar.html Fikper Free Download https://fikper.com/Oq8v6PmE5H/jdcbq.Linkedin...Running.Jenkins.on.AWS.rar.html : No Password - Links are Interchangeable

epub | 20.73 MB | English | ASIN:9780138285999 | Author: Anthony J. Sequeira | Year: 2025 Description: Category:Computer Technology, Study Aids & Workbooks, Nonfiction https://fikper.com/89tHlbzltp/AWS.Certified.Cloud.Practitioner.CLF-C02.Cert.Guide.Certification.Guide.rar.html https://rapidgator.net/file/1f61cc3d17878ed4a31d3d78aabab35f/AWS.Certified.Cloud.Practitioner.CLF-C02.Cert.Guide.Certification.Guide.rar https://nitroflare.com/view/F2C561B6BC1982D/AWS.Certified.Cloud.Practitioner.CLF-C02.Cert.Guide.Certification.Guide.rar

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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