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Free Download The Ultimate Salesforce Development Course Hands-on Guide Published 10/2024 Created by Amit Singh MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 79 Lectures ( 70h 0m ) | Size: 31 GB A step by step guide to become Salesforce Apex Expert What you'll learn OOPs Concept Salesforce Development Basics Classes & Objects Variables, Methods, Constructors & Operators Collections in Salesforce Loops in Salesforce Polymorphism in Salesforce Abstraction & Interface in Salesforce SOQL & SOSL in Salesforce Apex Triggers, Before vs After Triggers & Asynchronous Apex Trigger Asynchronous Apex including Batch, Queueable Apex Apex Managed Sharing Develop Secure Apex & Write Secure SOQL Queries Apex Best Practices, Test Classes & Best Practices Governor Limits & Flows in Salesforce Order of Execution & Send Emails using Apex Class Lead Convert Process & Email Services Debugging the code using Apex Replay Debugger Lead & Case Assignment Database Methods vs DML Methods Exception Handling Framework Requirements Salesforce Admin Knowledge Salesforce Data Model Relationships in Salesforce Formula Fields in Salesforce No-Prior Programming Experience is needed Description Salesforce Development in English, designed to empower everyone to master Salesforce development.Whether you are a complete beginner or have some experience, this comprehensive series will guide you through the fundamentals and advanced concepts of Salesforce development, all in the comfort of your native language.Key benefits of this courses includes:Learn Salesforce Development in English: This course is designed for every individual, making it easier to grasp technical concepts in your native language.Comprehensive coverage of Salesforce Development topics: The series covers many topics, from basic Salesforce concepts to advanced development techniques.Expert guidance: Gain insights from an experienced Salesforce developer who understands the challenges individuals are learning in Salesforce.69+ hours of learning content50+ Assignment of Apex Trigger, SOQL Queries, Lightning Flows & Async Apex50+ Assignment for Salesforce Lightning FlowsSalesforce Developer Interview Questions & AnswersIn depth Salesforce Development KnowledgeWhether aspiring to become a Salesforce developer or enhance your existing skills, this series is invaluable for your Salesforce learning journey.Whether aspiring to become a Salesforce developer or enhance your existing skills, this series is invaluable for your Salesforce learning journey.Whether aspiring to become a Salesforce developer or enhance your existing skills, this series is invaluable for your Salesforce learning journey. What you will learnOOPs ConceptSalesforce Development BasicsClasses & ObjectsVariablesMethodsConstructorsOperatorsCollections in SalesforceLoops in SalesforceInheritance in SalesforcePolymorphism in SalesforceAbstraction in SalesforceInterface in SalesforceRelationships in SalesforceSOQL & SOSLApex TriggersBefore vs After TriggersAsynchronous Apex TriggerAsynchronous Apex including Batch, Queueable ApexInterview Questions on TriggerProject on Apex TriggerApex Managed SharingTrigger on Apex Managed SharingDevelop Secure ApexWrite Secure SOQL QueriesApex Best PracticesTest Classes & Best PracticesGovernor LimitsFlows in SalesforceMaterials Included On-Demand Videos Class Notes Lecture Class Codes Assignments Project Document Practical Implementations of ScenariosWhy you should attend this course Lifetime access to the course & Notes Updates related to latest release ( in the form of recording ) Multiple Assignments Live doubt solving classes on regular basis Complete Project Who this 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Free Download Rust Hands-On Seismic Data Fetch & Analysis Published 10/2024 Created by Pegah Flashgary MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 6 Lectures ( 51m ) | Size: 263 MB Observable Async Data Processing with Rust What you'll learn Learn how to create Rust applications using Rust's unique features like structs, traits, and macros. Leverage Rust's async capabilities to build responsive applications, ensuring smooth multitasking without blocking or delays. Transform raw data into meaningful insights using Rust libraries such as ndarray, linfa, and Polars for advanced data analysis. Monitor and optimize your application in real time using OpenTelemetry and Jaeger, gaining full visibility into performance, traces, logs, and metrics. Requirements No prior Rust knowledge is needed, but you should be familiar with basic programming concepts. Description If you're looking to build something fast, reliable, and packed with real-time data power, this course is for you. Using Rust, we'll create an app that fetches and analyzes live earthquake data straight from sources like the USGS. We'll dive into Rust's async programming to make sure everything stays snappy while it's analyzing data and multitasking.You'll see how to build out a clean `EarthquakeEvent` structure using Rust's structs and traits, and set up functionality to handle real-time data smoothly. Along the way, we'll explore how to monitor your app's performance using OpenTelemetry and Jaeger, giving you real-time insights and an easy way to keep things running smoothly.What's Inside:Structs and Traits: Rust's approach to organizing and structuring real-time data in a way that's easy to work with.Async Programming: We'll keep the app responsive by handling multiple tasks at once, so you're ready for real-time data processing.Data Analysis: Get hands-on with Rust libraries to pull insights and trends from earthquake event data.Observability: With tools like OpenTelemetry and Jaeger, you'll be able to monitor every part of your app, keeping performance in check.This course is super practical because you'll build a real app that handles real-world data needs. Who this course is for This course is for programmers with experience in other languages who want to switch to Rust. You'll learn Rust by building a real-world application step by step. Homepage https://www.udemy.com/course/rust-hands-on-seismic-data-fetch-analysis/ Screenshot Rapidgator https://rg.to/file/ebb3298931bbb76ff35e09974ace2eb7/uuwnd.Rust.HandsOn.Seismic.Data.Fetch..Analysis.rar.html Fikper Free Download https://fikper.com/wZFjDnCP4U/uuwnd.Rust.HandsOn.Seismic.Data.Fetch..Analysis.rar.html No Password - Links are Interchangeable

Free Download Podman for the Absolute Beginners - Hands-On DevOps Published 10/2024 Created by Yogesh Raheja MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 62 Lectures ( 3h 52m ) | Size: 1.2 GB Master containerization using Podman through lectures, practical demonstrations, quizzes, and hands-on coding exercises What you'll learn Getting started to Containerization Deploy and Configure Podman on various platforms Basic Podman Commands with Hands-On Exercises Core Podman Terminologies - Image, Container, Network, Volume and Pods Understand and Build container images using Containerfiles/Dockerfiles - Hands-on Build and Deploy Custom Python based application as Capstone Project Getting started with Pods in Podman Requirements Basic Unix/Linux Knowledge (Good to have) Basic System Administrator Skills Description Podman is an open platform that provides tools to manage containers, images and pods. It offers the flexibility, accessibility, and security features that makes Podman an attractive option for managing containers.What's in this course?This "Podman for the Absolute Beginners - Hands-On DevOps" course is designed for everyone and provides a detailed overview of Podman essentials using a systematic and hands-on approach. It delves into fundamental concepts including images, containers, volumes, networks and Pods. You will also gain hands-on proficiency in creating optimized Containerfiles or Dockerfiles for containerizing applications and learn how to run and manage multiple containers as groups using the concept of Pods. Each course topic includes lectures to clarify the concept, demonstrations to show them in action, and finally, an assignment to test your understanding and solidify your learning.If you're new to Podman, don't worry-this course starts from the basics and builds on gradually to intermediate topics.Legal Notice:Podman is developed by Red Hat® is a registered trademarks of Red Hat, Inc. in the United States and other countries. This course is not certified, accredited, affiliated with, nor endorsed by Red Hat Inc.Course Structure:LecturesDemosQuizzesAssignmentsCourse Contents:Introduction to PodmanPodman Vs DockerSetting up Podman CLI and Podman DesktopUnderstanding Podman ArchitecturePodman DocumentationContainer ImagesContainer RegistriesPodman ContainersBuilding an Image with a Containerfile/DockerfileNetworking in PodmanVolumes in PodmanMulti-Stage Containerfile/DockerfileContainerizing Applications (Sample Project using Python)Pods in PodmanAll sections in this course feature live demonstrations. Enrolled users are encouraged to set up their own Podman environment, engage in the exercises, and learn through hands-on experience! Who this course is for System Administrators or System Engineers DevOps Administrators or DevOps Engineers Cloud Administrators or Cloud Engineers Application Developers and Testers Homepage https://www.udemy.com/course/podman-for-the-absolute-beginners-hands-on-devops/ Screenshot Rapidgator https://rg.to/file/86703280e93c45ed211f10b26c63bdba/bthai.Podman.for.the.Absolute.Beginners..HandsOn.DevOps.part1.rar.html https://rg.to/file/e7e8d53613dccdedf29df011602868f7/bthai.Podman.for.the.Absolute.Beginners..HandsOn.DevOps.part2.rar.html Fikper Free Download https://fikper.com/aXTuXWvn5u/bthai.Podman.for.the.Absolute.Beginners..HandsOn.DevOps.part1.rar.html https://fikper.com/qFZ7xc33QZ/bthai.Podman.for.the.Absolute.Beginners..HandsOn.DevOps.part2.rar.html No Password - Links are Interchangeable

Free Download Pluralsight - Hands-on with Azure Chaos Studio Released 10/2024 By Amy Coughlin MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 34m | Size: 120 MB It's time to get your hands cloudy in Azure Chaos Studio! This course will teach you how to plan, design, and implement chaos engineering experiments in Azure. With commodity hardware, widely distributed systems, and dependencies on APIs that may be out of your control, it's wise to turn to chaos engineering as a means to ensuring resiliency, availability, and performance when things go wrong. In this course, Hands-on with Azure Chaos Studio, you'll learn to plan, design, and implement chaos engineering experiments. First, you'll explore some techniques to conduct failure mode analysis. Next, you'll discover the various options for creating and monitoring experiments. Finally, you'll learn how to implement two different types of chaos experiments. When you're finished with this course, you'll have the skills and knowledge of Azure Chaos Studio needed to create your first chaos experiment in your own Azure environment. Homepage https://www.pluralsight.com/courses/azure-chaos-studio-hands-on Screenshot Rapidgator https://rg.to/file/d41964efaf59bc98d763fed90a00c645/qovis.Handson.with.Azure.Chaos.Studio.rar.html Fikper Free Download https://fikper.com/A0EejOdFC4/qovis.Handson.with.Azure.Chaos.Studio.rar.html No Password - Links are Interchangeable

Free Download Linkedin - Hands-On with Apache Iceberg Released 10/2024 With Dremio MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Skill level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 1h 37m 41s | Size: 208 MB Get up and running with Apache Iceberg in this hands-on, skills-based course with Apache Spark and Dremio. Course details Iceberg brings the reliability and simplicity of SQL tables to big data, while also making it possible to safely work with engines like Apache Spark at the same time. In this course, learn how to use Apache Spark and Dremio to get hands-on experience with creating, querying, and maintaining tables in Apache Iceberg. Develop a more comprehensive understanding of Apache Iceberg and its pivotal role in modern data lakehouse architectures. Learn how to configure an Iceberg catalog, create Apache Iceberg tables, insert records into tables, query tables, run maintenance operations, and much more. Upon completing this course, you'll also know how to query different metadata tables in both Spark and Dremio.This course was created by Dremio. We are pleased to host this training in our library. Visit Dremio. Homepage https://www.linkedin.com/learning/hands-on-with-apache-iceberg Screenshot Rapidgator https://rg.to/file/e639bda77f844f3d93b1174581af16ca/ozxaj.HandsOn.with.Apache.Iceberg.rar.html Fikper Free Download https://fikper.com/0lqPl2vMEE/ozxaj.HandsOn.with.Apache.Iceberg.rar.html No Password - Links are Interchangeable

Free Download Kubernetes Simplified Hands-On Course for DevOps Beginners Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 5h 11m | Size: 2.6 GB Learn Kubernetes simplified : Includes Easy Hands On, Industry case studies - DevOps Basics What you'll learn Introduction to Devops and Kubernetes What is a Container? What is Docker? ( Bonus Lecture) What is a Container Orchestration tool? Origin of Kubernetes Growth of Kubernetes Challenges Tackled by Kubernetes Monolithic vs Microservices Industry of Kubernetes (Google) Kubernetes Architecture Intro ETCD for Beginners Kube-api Server Controller Managers Kube Scheduler Kubelet Kube Proxy Container run time CNI Yaml Introduction YAML vs JSON vs XML , Yaml structure YAML in Kubernetes & Structure of yaml in kubernetes - apiVersion, Kind, Metadata , Spec Nodes - Master Nodes and Worker Nodes Pods Setting up Kubernetes (Ways of Cluster Creation ) What is Minikube? Things required for Minikube installation Kubectl Kubeadm Theory Kubernetes Pods Handson Introduction of services in Kubernetes Cluster IP Nodeport Load Balancer Ingress Introduction Replica Set Deployment Deployment Strategies Types of Volume Empty dir Hostpath Persistent Storage Kubernetes Persistent Volumes (PV) Kubernetes Persistent Volume Claims (PVC) Storage Classes Environment Variables in Kubernetes Environment Variables in pod Configmap Secretes Kubernetes Security Authorization - self signed certificate RBAC CBAC Security Context Reliability Engineering Cost of running Kubernetes Requirements An understanding of Docker will be beneficial. (Our Docker Foundation course is available for comprehensive introduction ) Knowledge of Linux commands. Basic familiarity with AWS. Description This course is ideal for developers, system administrators, and IT professionals who are new to Kubernetes or seeking to solidify their understanding of container orchestration within a DevOps framework.In this concise and informative course, you will learn Kubernetes in a simplified manner. Designed for beginners and anyone looking to quickly understand Kubernetes, this course simplifies complex concepts, making them easy to grasp and apply.You will discover how Kubernetes automates the deployment, scaling, and management of containerized applications. From understanding its architecture to deploying your first application, you'll gain hands-on experience with Kubernetes' powerful features.Through clear and concise explanations, step-by-step demonstrations, and interactive quizzes, you will learn how to deploy, manage, and scale applications with Kubernetes. Explore essential concepts such as Pods, Nodes, Services, Deployments, and Kubernetes Security.By the end of this course, you will have a solid foundation in Kubernetes, enabling you to orchestrate containerized applications, enhance scalability, and optimize your deployment processes.Outcomes: By the end of this course, you will be able to:Deploy and manage applications on Kubernetes with confidence.Understand the core components and architecture of Kubernetes.Implement DevOps principles using Kubernetes as a foundation.Analyze real-world applications of Kubernetes in various industries. Who this course is for The course will cover how to set up and manage Kubernetes clusters efficiently, minimizing waste and ensuring resources are utilized only when necessary. The course provides practical examples and industry use cases, helping DevOps developers understand Kubernetes in real-world scenarios, enhancing their ability to apply this knowledge to their projects. By optimizing resource usage Kubernetes can help reduce infrastructure costs. Homepage https://www.udemy.com/course/kubernetes-simplified/ Screenshot Rapidgator https://rg.to/file/0398f0b61e5f86022b5e48decf55a45c/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part1.rar.html https://rg.to/file/4ba53e8183cc1632a37fb2a918c43e54/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part3.rar.html https://rg.to/file/fe0822deec872c62e759e39491d708f3/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part2.rar.html Fikper Free Download https://fikper.com/6H3Lj63Cux/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part1.rar.html https://fikper.com/DXxkICpAWK/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part3.rar.html https://fikper.com/mhh56AntEg/heiov.Kubernetes.Simplified.HandsOn.Course.for.DevOps.Beginners.part2.rar.html No Password - Links are Interchangeable

Free Download Kubernetes Comprehensive Guide & Hands-On Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 1h 3m | Size: 1.02 GB A step-by-step guide to get a great understanding of Kubernetes, deploy, scale and troubleshoot your first app with it. What you'll learn Learn what Docker and Kubernetes are and why you might want to use them Learn Kubernetes Architecture and Core Components Learn the difference between Minikube, Kind, and managed Kubernetes Services Learn how to create Docker images & Deployment & Service with Kubernetes and how to troubleshoot issues Learn how to install and use Docker and Kubernetes on your machine Learn how to deploy and scale a Spring Boot application with Kubernetes using Docker, Minikube and kubectl Learn Kubernetes history and the story behind its success. Learn the requirements and issues that emerged with microservices and that Kubernetes aims to solve. Requirements No prior Docker or Kubernetes experience is required. Basic web development knowledge is required. Description Ever hear someone drop the word "Kubernetes" at a meetup and nod along like you get it, but inside you're like, "Is that a new Greek dish?"Well, in this course we're serving up Kubernetes 101 - no geek-speak, no fluff, just the juicy bits! In the hands-on section, I'll show you how to deploy your first Dockerized application using Minikube and kubectl. Whether you're just starting out or brushing up on Kubernetes, this course will guide you through every step.We will cover everything from setting up Minikube, creating a Docker image, and deploying your app on a Kubernetes cluster. You'll learn how to scale your application, troubleshoot common issues, and use Kubernetes' powerful self-healing feature.By the end, you'll have your app running smoothly and become confident navigating Kubernetes. You will become no longer just hear about Kubernetes - you'll use it.I'll break down microservices' design patterns as well and the requirements that emerged with them, so that you can have a better understanding of why we need a tool like Kubernetes.We won't stop there, I'll walk you through the history and exciting story behind Kubernetes so that you can understand how it evolved over time.Before we jump into the fun part, there are a few tools you'll need to have in place. Don't worry - I'll walk you through everything you need to get started! Let's get deploying! Who this course is for If you're a software engineer or a DevOps developer and you want to level up your skills, you're here in the right place. Whether you're just starting out or brushing up on Kubernetes, this course will guide you through every step. Homepage https://www.udemy.com/course/kubernetes-docker-practical-guide/ Screenshot Rapidgator https://rg.to/file/4ee6a521c255f0f3285b301e154ec825/ztash.Kubernetes.Comprehensive.Guide..HandsOn.part1.rar.html https://rg.to/file/abf9969e12eba10334b86c2d5757da19/ztash.Kubernetes.Comprehensive.Guide..HandsOn.part2.rar.html Fikper Free Download https://fikper.com/HtywG2ws4z/ztash.Kubernetes.Comprehensive.Guide..HandsOn.part1.rar.html https://fikper.com/hq0AXV2j19/ztash.Kubernetes.Comprehensive.Guide..HandsOn.part2.rar.html No Password - Links are Interchangeable

Free Download In-Depth Hands-On DevOps Accelerator Program Published 10/2024 Created by Rony Kooper MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 121 Lectures ( 8h 52m ) | Size: 3.53 GB 9 Hours of Core DevOps. Become expert With ONE course-Hands-On Terraform, Docker, EKS, AWS, Jenkins, Ansible an More !! What you'll learn Setup Kubernetes Cluster with Infrastructure As Code Spin up Jenkins Server with on-demand Agent on Kubernetes cluster. Including integration with other system like Cert-Manager and Helm Terraform, Ansible. Configuring Jenkins agent on HTTPS protocol. Write CI/CD application via Terraform, Ansible, Jenkins, Kubernetes Integrating GIT with Jenkins Agents. Deploy .Net Core application on the Server Deploy NGINX Ingress Controller on the Kubernetes Cluster Working with Kubernetes Volumes Configuring Docker file to incorporate custom tools Terraform Working with Dynamic Inventory Creating Custom Certificates with Cert-Manager Creating Custom Root CA Integrating Terraform with Ansible via Inventory Creating Tokens in Github Securing CI/CD Pipelines Requirements Have a computer with Internet Be ready to learn an insane amount of awesome stuff Prepare to build real web apps! Zero knowledge on CI/CD , Jenkins, Docker and Kubernetes Zero Understanding of Infrastructure as Code. Description Hi! Welcome to the brand new course of The DevOps Accelerator. This course will help you creating an enterprise scale CI/CD pipeline to be consumed in any organisation. This is the only course you need to start your learning. This will be updated regularly with Demos and new integration points. There are a lot of options for Devops Course training, but this course is without a doubt the most comprehensive and effective on the market. Here's why:As a devops Engineer not everyone gets a chance to setup the resources from start and the issues related to it. In this journey we will setup everything from start to give you a better view of thing running in your organization and tips to fix few of them.No In-depth knowledge required to start this course. In this journey we will go step by step to Creating EKS Cluster on AWS Cloud via Infrastructure-as-code.Create a Jenkins Server and how that integrates with other services like Terraform , Ansible, EKS Cluster. We will cover topics like Infrasture-as-code and how we write Terraform scripts to create a resource on AWS.How to create secure jenkins Agent which run on HTTPS protocol. Creating certificates that are attached to the services deployed on Kubernetes. Creating Inventory files which are responsible to dynamic inventory creation. Pushing Images to Docker hub. Creating resources on AWS to securely connect services. Creating a complete CI/CD pipeline to deploy resources. Working with TLS TerminationThroughout this course we cover tons of tools and technologies including:KubernetesJenkinsGit TerraformAnsibleDocker VS CodeDocker RegistryHelm Brew Chocolatey Kubernetes Volumes Who this course is for Who wants to know how DevOps project works and understand the pipeline workflows Who at the end of course wants a wants to work as a proficient Devops Engineer and implement standards in there Organization It's perfect for complete beginners with zero experience It's also great for anyone who does have some experience in a few of the technologies(like Docker and Terraform) but not all Homepage https://www.udemy.com/course/in-depth-hands-on-devops-accelerator-program/ Rapidgator https://rg.to/file/0afad591a7e97077e037bf5295ab0da4/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part2.rar.html https://rg.to/file/b78a96d347031aa17cf33d2678903f71/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part1.rar.html https://rg.to/file/db8ed8473965d5361d5cab4c3a35a84b/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part3.rar.html https://rg.to/file/e795e4a38317f8284603df84679553a7/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part4.rar.html Fikper Free Download https://fikper.com/O4dyQ9bom5/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part3.rar.html https://fikper.com/uN9szC0ZY8/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part1.rar.html https://fikper.com/v8fktqDbQh/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part2.rar.html https://fikper.com/xGkokg4WzJ/hvyhy.InDepth.HandsOn.DevOps.Accelerator.Program.part4.rar.html No Password - Links are Interchangeable

Free Download Hands-on Arduino (2024) Published 10/2024 Created by Ed-En.Pro[Education Enhanced Program] MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 30 Lectures ( 2h 25m ) | Size: 1.91 GB Learn Arduino from scratch! Build circuits, write code, and create interactive electronics projects. What you'll learn Fundamental Electronics Knowledge: Understand basic concepts of voltage, current, and resistance, as well as how to utilize breadboards for circuit assembly. Arduino Programming Skills: Gain hands-on experience with the Arduino IDE and learn how to write and upload code to control various components. Interfacing Components: Learn to interface and control various electronic components such as sensors. Project Development: Develop practical skills by completing multiple hands-on projects. Requirements This course requires no prior experience in electronics or programming, making it accessible to beginners. Learners should have basic computer skills to install the Arduino IDE and connect their devices. A computer with internet access, an Arduino board (any model), and basic electronic components (such as LEDs, resistors, and sensors) will enhance the learning experience. Description Dive into the world of electronics and programming with Hands-On Arduino, the perfect course for beginners and enthusiasts alike! In this course, you'll gain practical experience with Arduino, the world's most popular open-source electronics platform. Whether you're aiming to create your own gadgets, automate tasks, or explore the fundamentals of embedded systems, this course provides all the knowledge you need to succeed.Through a series of hands-on projects, you'll learn how to build circuits, interface sensors, control motors, and write code to bring your creations to life. You will start with the basics of Arduino programming, exploring the IDE, writing your first sketches, and understanding how to use digital and analog inputs/outputs. As you progress, you'll delve into more advanced topics like working with sensors, controlling LEDs, motors, and displays, and even creating your own projects.This course emphasizes practical learning by guiding you through real-world projects, from simple circuits to complex systems. By the end, you'll be confident in using Arduino to create interactive devices and will have built a foundation to explore more advanced electronics and embedded systems.No prior experience is required-just bring your curiosity and creativity! Let's get started building your first project!Learn Arduino from scratch! Build circuits, write code, and create interactive electronics projects. Who this course is for This course is designed for beginners interested in electronics and programming using Arduino. It is ideal for students, hobbyists, and professionals seeking to develop practical skills in building and interfacing electronic projects. Whether you're looking to explore a new hobby or enhance your technical expertise, this course provides valuable hands-on experience that will empower you to create your own innovative projects. Homepage https://www.udemy.com/course/hands-on-arduino-edenpro/ Screenshot Rapidgator https://rg.to/file/751f060423553537c6ea3834229843a8/xirob.Handson.Arduino.2024.part1.rar.html https://rg.to/file/ccf0ef142ca4398ab734b81e5d5536c5/xirob.Handson.Arduino.2024.part2.rar.html Fikper Free Download https://fikper.com/EtKyTw12Ef/xirob.Handson.Arduino.2024.part1.rar.html https://fikper.com/uTGl8PD7hS/xirob.Handson.Arduino.2024.part2.rar.html No Password - Links are Interchangeable

Free Download Hands-On Python Machine Learning with Real World Projects Published 10/2024 Created by Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 13 Lectures ( 4h 8m ) | Size: 1.3 GB Python Based Machine Learning Course with Practical Exercises and Case Studies What you'll learn Applications of machine learning Data manipulation and analysis Building a predictive model to forecast sales Essential Python libraries (NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn) Requirements No experience required Description Are you ready to unlock the power of machine learning with Python? This comprehensive course is designed to equip you with the essential skills to build predictive models that can solve real-world problems.From beginner to expert, we'll guide you through the entire machine learning process, starting with the fundamentals of Python programming. You'll learn how to:Prepare and clean data for analysisExplore different machine learning algorithms and their applicationsBuild and train predictive models using popular libraries like Scikit-learn and TensorFlowEvaluate model performance and refine your approachApply machine learning techniques to a variety of real-world problems, including:Regression: Predicting continuous values (e.g., house prices)Classification: Categorizing data (e.g., spam detection)Clustering: Grouping similar data points (e.g., customer segmentation)Neural networks and deep learning: Building complex models for tasks like image and natural language processingThroughout the course, you'll work on hands-on projects that will help you solidify your understanding and develop practical skills. We'll also provide you with real-world case studies to demonstrate how machine learning can be applied to solve business challenges.By the end of this course, you'll be able to:Confidently use Python for machine learning tasksBuild and deploy predictive models that drive business valueStay up-to-date with the latest trends in machine learning Who this course is for Anyone who want to learn machine learning with python Homepage https://www.udemy.com/course/hands-on-python-machine-learning-with-real-world-projects/ Screenshot Rapidgator https://rg.to/file/32da74c86f826757ddf9a9e8acf84aff/rawin.HandsOn.Python.Machine.Learning.with.Real.World.Projects.part1.rar.html https://rg.to/file/e5550f57731b04ada2c75af7b53f5670/rawin.HandsOn.Python.Machine.Learning.with.Real.World.Projects.part2.rar.html Fikper Free Download https://fikper.com/Sz5eylTxoL/rawin.HandsOn.Python.Machine.Learning.with.Real.World.Projects.part1.rar.html https://fikper.com/ZOEzRyN4Vt/rawin.HandsOn.Python.Machine.Learning.with.Real.World.Projects.part2.rar.html No Password - Links are Interchangeable

Free Download Hands-On Eks Masterclass From Setup To Production Deployment Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz Language: English | Size: 3.98 GB | Duration: 9h 18m 9 Hours of EKS Course. Become expert With ONE course on Fargate,GitOps, AutoScaling, Security, Observability and More ! What you'll learn Setup of EKS clusters via EKSCTL, Terraform & GitHub Actions Hands on working with EKS cluster via Infrastructure As Code Upgrade production grade EKS Clusters Deep Dive into Kubernetes Fundamentals Deploy .Net Core application on the Kubernetes Cluster Configuring Volumes on EKS Cluster Configuring Metric Server All about EKS AddOns like Calico , VPC CNI, Netpol Working with Ingress Controllers Setup of Certificates on Ingress Controllers Purchase of Domain Name for AWS Purchase SSL Certificates from AWS for Ingress Controllers EKS Production Deployment Strategies Cert-Manager Configuration DNS-01 Challenge How to work ECR for deploying services Tracing with X-RAY on AWS Cloud Securing EKS cluster with CSI and RBAC Configuring Network Policies on Kubernetes Requirements Have a computer with Internet Be ready to learn an insane amount of awesome stuff Prepare to build real web apps! Zero knowledge on CI/CD , Jenkins, Docker and Kubernetes Description Welcome to the Hands-On EKS Masterclass From Setup to Production Deployment Course - your definitive guide to building, scaling, and optimising Kubernetes clusters using Amazon EKS (Elastic Kubernetes Service). Whether you're just starting with Kubernetes or aiming to advance your knowledge, this course is designed to equip you with the skills necessary to create production-grade EKS clusters, using EKSCTL, Terraform and GitHubAction.Why This Course ?With countless resources out there on Kubernetes and EKS, this course stands out by focusing on practical, enterprise-grade solutions. It doesn't matter if you're new to Kubernetes or have some experience - we'll guide you through setting up and managing resilient, scalable EKS clusters from scratch.As a DevOps Engineer, it's rare to get hands-on experience setting up resources from the ground up. In this course, we'll not only take you through the process of building your EKS clusters but also provide insights into optimising and scaling them in real-world environments.What You'll Learn ?Setting Up EKS ClustersEKSCTL: Simplify your Kubernetes cluster creation on AWS using EKSCTL. We'll walk you through its intuitive interface and best practices for creating EKS clusters.Terraform: For a more customisable and scalable approach, you'll learn how to use Infrastructure-as-Code with Terraform to build and maintain your EKS clusters.Scaling and Upgrading Production-Grade EKS ClustersOnce your clusters are up and running, we'll focus on how to scale them for high availability and optimise them for production environments. Learn how to manage cluster upgrades, scale worker nodes, and set up auto-scaling groups.Deep Dive into Kubernetes FundamentalsUnderstanding how Kubernetes works at its core is essential. This section will cover the basics and advanced concepts such as Pods, Services, Deployments, and ReplicaSets. We'll also explore how Kubernetes handles networking, storage, and resource management in the context of EKS.Configuring Metric Server and MonitoringMetrics are crucial for understanding the health and performance of your cluster. Learn how to set up and configure the Kubernetes Metric Server to gather key metrics and integrate them into your monitoring stack for real-time insights.Mastering EKS Add-OnsExplore the essential EKS Add-Ons that enhance your cluster's capabilities, including:Calico: For network security and policy enforcement.VPC CNI: To enable networking for pods and services using AWS VPC.Advanced Kubernetes NetworkingYou'll dive deep into Kubernetes networking concepts, learning how to configure TLS Termination, manage ingress and egress traffic, and secure communication between microservices.Tools and Technologies CoveredThroughout this course, you'll work with an array of powerful DevOps tools, including:Kubernetes (EKS)EKSCTL, GitHubAction and Terraform for cluster creationJenkins for CI/CD pipeline automationHelm for Kubernetes application managementCalico for network policiesAWS VPC CNI for seamless AWS-native networkingGit for version controlDocker for containerisationPrometheus and Grafana for monitoringWhy Start Now?The demand for Kubernetes and EKS expertise is skyrocketing. Whether you're aiming to optimise your organisation's cloud infrastructure or advance your career, mastering EKS will give you a significant edge.No prior in-depth knowledge is required - we'll guide you step by step. By the end of this course, you'll have the confidence to build, manage, and scale production-ready EKS clusters like a pro.Let's get started! Overview Section 1: Introduction Lecture 1 Introduction Section 2: Getting Started with Setup Lecture 2 Software Installation Lecture 3 Helm Package setup on Windows/Linux Lecture 4 Installing and configuring Docker for Desktop Lecture 5 Installing Minikube on Mac Lecture 6 Configuring Minikube Lecture 7 Install Cluster & Docker for Desktop on Windows Section 3: Docker Fundamentals & Introduction to Docker Commands Lecture 8 Introduction to Docker Lecture 9 Exploring & working with Docker Commands Lecture 10 Walkthrough creating new Docker file Lecture 11 Building a sample docker file from stracth Lecture 12 Understanding the difference between CMD & Entrypoint Lecture 13 Where we building the Dockerfile the wrong way !! Section 4: Approach 01 - Creating Kubernetes Cluster with EKSCTL Lecture 14 Introduction to Kubernetes Lecture 15 Introduction to EKSCTL Lecture 16 Install AWS CLI Lecture 17 Install Kubectl Lecture 18 Install EKSCTL Lecture 19 Configuring EKS cluster with EKSCTL Lecture 20 Validating Objects & Configuring Config files for Controlled Deployment Section 5: Approach 02 - Creating Kubernetes Cluster via Terraform Lecture 21 Creating EKS Cluster Vpc Structure Lecture 22 Creating Routes & Gateways on AWS Cloud Lecture 23 Configuring Routing Tables for Cluster on AWS Cloud Lecture 24 Creating EKS Cluster via Terraform Code Lecture 25 Configuring EKS Worker Nodes Lecture 26 Deploying Real Services on the Cluster Section 6: Approach 03 - Deploying Kubernetes Cluster Via GitHub Actions Lecture 27 Introduction to GitHub Actions Lecture 28 GitHub Webhook and Full Automation Lecture 29 Configuring OIDC provider for Authentication Lecture 30 Running fully Automated Kubernetes Cluster !! Section 7: Kubernetes Fundamentals - Imperative commands with Kubectl Lecture 31 Understanding Pod and there lifecycle mechanism Lecture 32 Lab: Learning how to work with Pods Lecture 33 Understanding & Creating new Deployments in cluster Lecture 34 Understanding different Service available in EKS Lecture 35 Hands on with Cluster IP and Node Port Services Lecture 36 Hands on with Load Balancer Service Type Lecture 37 Understanding what volumes in EKS Lecture 38 Getting familiarise with Statefulset Lecture 39 Lab: Statefulset Lab & Headless Service Lecture 40 Creating and Configuring ConfigMap in EKS Lecture 41 Securing variables via Secret Management Lecture 42 Understanding what Probes are used for ? Lecture 43 Lab : Readiness & Liveness Probe Lecture 44 Understanding Cron and Job intro Lecture 45 Lab: Working with Job & CronJob Lecture 46 Limit & Quota and why are they required ? Lecture 47 Demo : Limit & Quota's Lecture 48 Introduction to Sidecar Pattern Lecture 49 Handons implementing Sidecar with multi-container Section 8: MySQL on EKS via AWS EBS - Elastic Block Storage Lecture 50 All about Volumes in EKS Lecture 51 Lab: Dynamic Volume Provisioning Lecture 52 Create deployment files for Implementing MySQL Lecture 53 Test Connection via MySQL Client Section 9: Configuring Metric Server on EKS for Logging and Monitoring Lecture 54 Metric Server Configuration Lecture 55 Viewing Metrics on the Dashboard Section 10: Kubernetes Service Deep Dive !! Lecture 56 Container Networking 101 Lecture 57 Kubernetes Network Policy Deep Dive Lecture 58 Protecting Cluster with Network Policies Lecture 59 Kubernetes Addon - Setup VPC CNI Lecture 60 Kubernetes Addon - Setup Calico Networking Lecture 61 calico demo Section 11: EKS - Deploy ALB/NLB Ingress Controller with Ingress Groups Lecture 62 Understanding Ingress Controller Lecture 63 Setup of NLB - Nginx Ingress Controller on AWS Lecture 64 Setup of ALB Ingress Controller on AWS Lecture 65 Ingress Demo - Multiple Paths Section 12: ALB Ingress - Setup SSL Certificate & SSL Redirect Lecture 66 Introduction to SSL based Application Lecture 67 Buying & Registering Domain name from AWS Lecture 68 Creating SSL Certificate from AWS Console Lecture 69 Creating Resource - Deployment , Service and Ingress Section 13: ALB Ingress - Virtual Host Based Routing Lecture 70 Introduction to Virtual Host Based Routing Lecture 71 Creating Resource - Deployment , Service and Ingress Section 14: ALB Ingress - SSL Discovery Lecture 72 Configure Ingress to use SSL Certificate Lecture 73 Setup of Auto Discovery of SSL Certificate Section 15: ALB Ingress - Target Type IP Mode Lecture 74 Introduction to Ingress Target Types Lecture 75 Setup of Ingress Target Type Section 16: ALB Ingress - External DNS install & Implement Ingress Lecture 76 Introduction to External DNS Lecture 77 Deploy Ingress with External DNS Section 17: Deployment Strategies in Production !! Lecture 78 Introduction to Blue-Green Deployment Lecture 79 Introduction to Canary Deployment Lecture 80 canary demo Section 18: Autoscaling in Kubernetes Lecture 81 Introducing Replication and Autoscaling Lecture 82 HPA Intro Lecture 83 Lab: HPA (Horizontal Pod Autoscaler) Lecture 84 Lab: Cluster Autoscaler with Karpenter Section 19: EKS -Fargate Lecture 85 Fargate - What and Why Vs Regular EKS Lecture 86 Demo - Fargate Section 20: Configuring Cert-Manager for Kubernetes Lecture 87 Introduction to Helm and why do we need it ? Lecture 88 Introduction to Cert-manager Lecture 89 Lab: Configuring Cert-Manager Lecture 90 Lab: Configuring Cert-Manager - Continued Lecture 91 Lab: Validation of Objects created Lecture 92 Understanding Certificates and Certificate Authority Lecture 93 Lab: Creating certificates for Jenkins Server Section 21: Deploy Jenkins on AWS EKS via GitHub Action Lecture 94 Deploy Jenkins with DNS-01 Challenge Lecture 95 Deploy Jenkins Pipeline on EKS Section 22: Docker Inside Docker with - Kaniko Lecture 96 How to Deploy Application Via Jenkins, Kaniko and EKS Lecture 97 Next 2 Lecture - Optional Lecture 98 Understanding DinD Architecture Lecture 99 Lab: Introduction to Kaniko Section 23: ECR - Elastic Container Registry Lecture 100 Introduction to ECR Lecture 101 ECR Steps Lecture 102 ECR - Setup Lecture 103 Compiling application locally & push to ECR Lecture 104 Creating ECR and configuring Credentials for CI/CD Automation Section 24: The big picture about Logging - EKS Cluster Lecture 105 Understanding Logging from Start to Finish Lecture 106 Setup up logging via Container Insights Lecture 107 Creating Application Manifest files Lecture 108 Introduction to Prometheus & Deployment Section 25: Real World Demo with - ECR and EKS & Monitoring via Prometheus Lecture 109 Introduction to CI pipeline for .Net App Lecture 110 CI Pipeline Pre-Requisites and Deploying to ECR Lecture 111 Deploying Application from ECR into EKS cluster Lecture 112 Monitoring the deployed Infrastructure and Apps via Promethous Section 26: Upgrading EKS Cluster with Live Traffic Lecture 113 Performing Upgrade of Control Plane Lecture 114 Performing Upgrade of Worker Nodes Section 27: Distributed Tracing with X-RAY Lecture 115 Introduction to Distributed Tracing with X-RAY Lecture 116 Introduction to Kubernetes DaemonSets Lecture 117 Deploy X-RAY DaemonSet and Service Lecture 118 Deploying Kubernetes Objects for AWS-XRAY Lecture 119 Single Deploy Python Application for Distributed Tracing Lecture 120 Multi-Deploy Python Application for Distributed Application Section 28: Security Peripheral in Kubernetes Cluster Lecture 121 RBAC Intro Lecture 122 Demo - Give Granular Access to Other Users using RBAC Lecture 123 CSI - Secret Store Provider Lecture 124 Demo - CSI Provider Who wants to know how DevOps project works and understand the pipeline workflows,Anyone who wants to have a head start towards CKA and CKAD Certification Homepage https://www.udemy.com/course/hands-on-eks-masterclass-from-setup-to-production-deployment/ Rapidgator https://rg.to/file/5797744545e6d6cbaca2d066c570f7e1/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part1.rar.html https://rg.to/file/64f6d9eb0466c9678683d8798ee7184c/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part5.rar.html https://rg.to/file/7bfc1db96aa6555f5d4faac4542339ad/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part3.rar.html https://rg.to/file/8b3870e29d470fab9afc532bef77d021/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part4.rar.html https://rg.to/file/98983e4c755a133f633f591965c1f051/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part2.rar.html Fikper Free Download https://fikper.com/4rK2NwDdlY/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part1.rar.html https://fikper.com/5qftgm176B/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part2.rar.html https://fikper.com/XAu7pUsp1E/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part3.rar.html https://fikper.com/ezMIRLbh9w/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part4.rar.html https://fikper.com/oUURBdc3Ph/fefhr.HandsOn.Eks.Masterclass.From.Setup.To.Production.Deployment.part5.rar.html No Password - Links are Interchangeable

Free Download Hands on Robotics with Python - Basics to Real World Projects Published 10/2024 Created by Saroj Debnath MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 7h 0m ) | Size: 3.67 GB Python, Universal robots, Robotic Arms, Communications systems, Simulation What you'll learn Learn Robotic Arm for beginners Build projects based on Python Learn by building projects on wireless communication Be industry ready to deploy the robotic solutions for automating manufacturing Requirements No programming experience is required. A bit of enthusiasm is expected. Description This course is designed to take you from the fundamentals of robotics and Python programming to hands-on projects using real robots. You'll start by learning the essential theory and mathematics behind robotics, building a strong foundation for understanding robot movement and control.Next, we'll dive into Python programming, covering everything from the basics up to Object-Oriented Programming (OOP) concepts. Throughout the course, you'll work on exciting Python projects to solidify your coding skills.We'll then explore the basics of communication systems and their applications in robotics, accompanied by practical projects to see these concepts in action.To further enhance your learning, you'll experience simulations to test and develop your robotic systems before moving on to real-world tasks. Simulations will be done in ur-sim (A Universal Robot simulation Platform). Finally, you'll work with a real robot to complete advanced projects like pick-and-place tasks and a face-tracking system.By the end of this course, you'll have the knowledge, coding skills, and hands-on experience to confidently pursue robotics projects. This course is suitable for beginners with an interest in robotics and programming, as well as for anyone looking to expand their skills through practical, project-based learning. You'll also gain valuable problem-solving skills and technical insight that can be applied in various fields. Who this course is for A person, who is interested in python or robotics Homepage https://www.udemy.com/course/hands-on-robotics-with-python-basics-to-real-world-projects/ Screenshot Rapidgator https://rg.to/file/49331a5d7b27fb5e297c0162dcf126b2/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part4.rar.html https://rg.to/file/4ff19f3b88b6c4e58352ede5ea0539af/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part1.rar.html https://rg.to/file/b0b37a893180b7d4f121bad1b3f322ff/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part3.rar.html https://rg.to/file/bc6b9137dffc1e9401feee6b22fa2025/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part2.rar.html Fikper Free Download https://fikper.com/4bfOgiBf6J/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part2.rar.html https://fikper.com/WZiPO2X9eJ/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part3.rar.html https://fikper.com/eEJLX7NsrN/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part1.rar.html https://fikper.com/txhIPbxkor/oczpx.Hands.on.Robotics.with.Python.Basics.to.Real.World.Projects.part4.rar.html No Password - Links are Interchangeable

Free Download Hands on Cisco Packet Tracer IPv6 Labs Published 10/2024 Created by Dan Mill MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 25 Lectures ( 1h 37m ) | Size: 366 MB Mastering IPv6 Networking Through Practical Simulations What you'll learn The basics of IPv6, including its necessity, key features, and how it differs from IPv4. IPv6 addressing and configuration, including practical hands-on labs. Configuring IPv6 routing protocols such as OSPFv3 and setting up dual-stack environments. Advanced topics like Stateless Address Autoconfiguration (SLAAC), DHCPv6, and IPv6 Access Control Lists (ACLs). We'll even explore concepts like IPv6 tunneling over IPv4, despite the limitations of Packet Tracer. We'll also provide valuable troubleshooting techniques and cover common IPv6 issues, so you'll leave this course ready to diagnose and resolve problems. Requirements A fundamental understanding of networking concepts, such as IP addressing, subnetting, and how routers and switches work. Familiarity with the OSI model and common network protocols like TCP/IP. Some prior experience with IPv4 configuration and addressing will help you grasp the differences between IPv4 and IPv6 more easily. While this course focuses on IPv6, a passion for learning new networking technologies is key. No prior experience with IPv6 is required. Description Dive into the world of IPv6 networking with "Hands-On Cisco Packet Tracer: IPv6 Labs." This course is designed for networking enthusiasts and professionals seeking to enhance their understanding of IPv6 through practical, hands-on experience using Cisco Packet Tracer.In this course, you will engage with a series of interactive labs that cover essential IPv6 concepts, including address planning, subnetting, and configuration. You'll gain a solid foundation in the differences between IPv4 and IPv6, learning how to effectively implement IPv6 in real-world scenarios.Throughout the course, you will:Explore IPv6 Addressing: Understand the structure and purpose of IPv6 addresses, including global, link-local, and unique local addresses.Practice Subnetting: Master IPv6 subnetting techniques and learn how to calculate subnets efficiently.Configure IPv6 Routing: Gain hands-on experience configuring routing protocols such as OSPFv3, ensuring robust communication in your networks.Implement Security Features: Learn how to secure IPv6 networks and troubleshoot common issues using best practices and tools available in Packet Tracer.With step-by-step instructions and real-world scenarios, this course empowers you to build, configure, and troubleshoot IPv6 networks confidently. By the end of the course, you will have developed the skills necessary to navigate the evolving landscape of networking with proficiency in IPv6.Join us and take the next step in your networking journey! Who this course is for Students preparing for entry-level networking certifications like CCNA or CCST. IT support staff or technicians looking to expand their knowledge of routing and network configuration. Individuals from non-networking backgrounds looking to switch to networking careers and seeking practical, hands-on training. Anyone interested in learning how to configure, manage, and troubleshoot IPv6 protocols in simulated environments. Homepage https://www.udemy.com/course/ipv6-labs/ Screenshot Rapidgator https://rg.to/file/7cfa2a3b9f0cd74bc6736fecbab6227d/lkjlw.Hands.on.Cisco.Packet.Tracer.IPv6.Labs.rar.html Fikper Free Download https://fikper.com/c7iY6TTaLG/lkjlw.Hands.on.Cisco.Packet.Tracer.IPv6.Labs.rar.html No Password - Links are Interchangeable

Free Download Hands on Cisco Packet Tracer - Switching Labs Published 10/2024 Created by Dan Mill MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English + subtitle | Duration: 31 Lectures ( 2h 51m ) | Size: 862 MB Master Switching Protocols with Practical Labs in Cisco Packet Tracer. Gain Hands on Experience! What you'll learn Understand the role and importance of switching in network communication. Learn the basics of configuring Cisco Switches. Master the configuration and operation of key switching protocols, including Spanning Tree, Port Channels and VLANs. Explore the use of security mechanisms to secure your environment. Apply the skills learned in real-world, hands-on labs that simulate professional networking environments. Requirements Students should have a basic understanding of networking concepts like IP addressing, subnets, and what a router does. A computer (Windows, macOS, or Linux) that can run Cisco Packet Tracer for performing the labs. An eagerness to get hands-on with networking and practice through real-world labs. Description Welcome to "Hands on Cisco Packet Tracer: Switching Labs"! This course is designed to provide you with practical, hands-on experience in configuring and managing network switches using Cisco Packet Tracer. Whether you're preparing for certification exams or looking to enhance your networking skills, this course covers essential switching topics that are fundamental to modern networks.You'll start by learning the basics of switch configuration and gradually move into more advanced topics such as VLANs (Virtual Local Area Networks), inter-VLAN routing, trunking, port security, and spanning-tree protocol. Each lab is carefully designed to simulate real-world scenarios, allowing you to apply your knowledge and develop problem-solving skills that are crucial for network engineers.The course emphasizes hands-on practice. Through guided labs, you'll not only configure switches but also troubleshoot common issues you may encounter in professional environments. We cover topics such as:VLAN creation and managementConfiguring trunk links between switchesSecuring switch ports with port securitySpanning-tree protocol to prevent loopsEtherChannel for link aggregationNo prior experience with Cisco devices is required, but basic networking knowledge will be helpful. If you're looking to strengthen your understanding of switching concepts or prepare for networking certifications like Cisco's CCNA, this course is perfect for you.By the end of the course, you'll have the confidence to work with Cisco switches, configure them for a variety of network setups, and troubleshoot switching problems. Let's dive into the world of switching and start building your expertise! Who this course is for Those new to networking who want to gain hands-on experience with switching protocols and practical networking skills. Students preparing for entry-level networking certifications like CCNA or CCST. Individuals from non-networking backgrounds looking to switch to networking careers and seeking practical, hands-on training. Homepage https://www.udemy.com/course/hands-on-cisco-packet-tracer-switching-labs/ Screenshot Rapidgator https://rg.to/file/2637a1af48222c80189eee284d9c2d18/fixei.Hands.on.Cisco.Packet.Tracer.Switching.Labs.rar.html Fikper Free Download https://fikper.com/suzfFTECE9/fixei.Hands.on.Cisco.Packet.Tracer.Switching.Labs.rar.html No Password - Links are Interchangeable

Free Download Hands on Cisco Packet Tracer - Routing Labs Published 10/2024 Created by Dan Mill MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 42 Lectures ( 3h 57m ) | Size: 1.25 GB Master Routing Protocols with Practical Labs in Cisco Packet Tracer. Gain Hands on Experience! What you'll learn Understand the role and importance of routing in network communication. Learn the basics of configuring static and dynamic routes. Master the configuration and operation of key routing protocols, including RIP, EIGRP, and OSPF. Learn advanced topics like EIGRP authentication, load balancing, and route manipulation. Understand how to manipulate routes using bandwidth, delay, and variance to control traffic flow in a network. Learn the use of floating static routes for backup path configurations. Explore the use of authentication mechanisms to secure routing protocols, preventing unauthorized updates. Gain experience in designing and configuring efficient and secure network topologies. Learn to troubleshoot and optimize network performance using Packet Tracer simulations. Apply the skills learned in real-world, hands-on labs that simulate professional networking environments. Requirements Students should have a basic understanding of networking concepts like IP addressing, subnets, and what a router does. A computer (Windows, macOS, or Linux) that can run Cisco Packet Tracer for performing the labs. An eagerness to get hands-on with networking and practice through real-world labs. Description "Hands-on Cisco Packet Tracer - Routing Labs" is a comprehensive course designed to give you practical experience with routing protocols in a simulated network environment using Cisco Packet Tracer. Whether you're a beginner or looking to enhance your networking skills, this course will equip you with hands-on knowledge to configure, manage, and troubleshoot various routing protocols.Throughout this course, you'll work through real-world labs covering essential topics like static and dynamic routing. You'll learn how to configure routing protocols such as RIP, EIGRP, and OSPF, exploring advanced features like load balancing, authentication, and route optimization. Each lab is designed to simulate real-world network scenarios, providing you with the experience and confidence to handle routing tasks in a professional environment. By working through these labs, you'll develop a strong foundation in routing protocols and learn valuable troubleshooting techniques that can be applied in real-world networks.This course is ideal for networking students, IT professionals, career changers, and anyone preparing for Cisco CCNA or similar certifications. No prior certification is required, but basic networking knowledge will help you get the most out of the labs.By the end of this course, you will have hands-on experience configuring and optimizing networks, troubleshooting routing issues, and applying best practices in network design. You'll be well-prepared for networking roles and certifications that require in-depth knowledge of routing protocols.Start your journey to mastering routing with "Hands-on Cisco Packet Tracer - Routing Labs" today! Who this course is for Those new to networking who want to gain hands-on experience with routing protocols and practical networking skills. Students preparing for entry-level networking certifications like CCNA or CCST. IT support staff or technicians looking to expand their knowledge of routing and network configuration. Sysadmins and network engineers who want to practice and refine their routing skills using Cisco Packet Tracer. Anyone interested in learning how to configure, manage, and troubleshoot routing protocols in simulated environments. Individuals from non-networking backgrounds looking to switch to networking careers and seeking practical, hands-on training. Homepage https://www.udemy.com/course/hands-on-cisco-packet-tracer-routing-labs/ Screenshot Rapidgator https://rg.to/file/2caaa5c3bd41e10f6682130928054916/upzqh.Hands.on.Cisco.Packet.Tracer..Routing.Labs.part1.rar.html https://rg.to/file/f30e43e80caca9553bbff8e8398f0007/upzqh.Hands.on.Cisco.Packet.Tracer..Routing.Labs.part2.rar.html Fikper Free Download https://fikper.com/D4KV8EQWBm/upzqh.Hands.on.Cisco.Packet.Tracer..Routing.Labs.part1.rar.html https://fikper.com/K78dVHRn3l/upzqh.Hands.on.Cisco.Packet.Tracer..Routing.Labs.part2.rar.html No Password - Links are Interchangeable

Free Download Hands On React JS From Beginner to Expert Published 10/2024 Created by Learnify IT MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 22 Lectures ( 4h 42m ) | Size: 1.85 GB Master React.js Fundamentals for Effective Development What you'll learn Understand the basics like components, state, props, and JSX. Create reusable and efficient components to build dynamic web applications. Learn how to manage application state effectively using React's state and props. Utilize React Hooks for functional component-based state management and side effects. Discover tips and tricks for writing clean, maintainable code. Requirements No experience required Description Are you ready to dive into the world of modern web development? Join our comprehensive Hands-On React JS: From Beginner to Expert course and learn how to build dynamic and interactive web applications using the powerful React JS framework.This course is designed for individuals with a basic understanding of HTML, CSS, and JavaScript. We'll guide you step-by-step through the fundamentals of React JS, covering essential topics such as components, state management, props, and JSX.Key Features:Comprehensive Curriculum: Explore a wide range of React JS concepts, from the basics to advanced techniques.Hands-On Projects: Build real-world projects to apply your knowledge and gain practical experience.Expert Guidance: Learn from experienced React JS developers who will provide clear explanations and support.Up-to-Date Content: Stay up-to-date with the latest React JS best practices and features.What You'll Learn:React JS Fundamentals: Understand the core concepts of React JS, including components, state, props, and JSX.Component-Based Architecture: Learn how to build reusable and modular components to create scalable applications.State Management: Master effective state management techniques using React Hooks and Redux.Routing: Implement navigation within your React JS applications using routers like React Router.Form Handling: Create dynamic and interactive forms with React JS.API Integration: Integrate your React JS applications with external APIs to fetch and display data.Deployment: Learn how to deploy your React JS applications to the web.Course Benefits:Skill Development: Enhance your web development skills and become a proficient React JS developer.Career Advancement: Open doors to exciting career opportunities in web development.Problem-Solving: Develop strong problem-solving abilities and learn to tackle real-world challenges.Community Support: Connect with a community of React JS learners and share your experiences.Enroll Now and Start Your Journey to React JS Mastery! Who this course is for Anyone who want to learn React JS Homepage https://www.udemy.com/course/hands-on-react-js-from-beginner-to-expert/ Screenshot Rapidgator https://rg.to/file/92ce4614ed119d74bf5dbf6f98b99ae8/antlh.Hands.On.React.JS.From.Beginner.to.Expert.part1.rar.html https://rg.to/file/97ee4fa5db550f703076f4153209b6eb/antlh.Hands.On.React.JS.From.Beginner.to.Expert.part2.rar.html Fikper Free Download https://fikper.com/M7NyeSvAf7/antlh.Hands.On.React.JS.From.Beginner.to.Expert.part1.rar.html https://fikper.com/VF1XDvDybc/antlh.Hands.On.React.JS.From.Beginner.to.Expert.part2.rar.html No Password - Links are Interchangeable

Free Download Hands On Python Data Science - Data Science Bootcamp Published 10/2024 Created by Sayman Creative Institute MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 24 Lectures ( 5h 40m ) | Size: 1.55 GB Master Python for Data Science with Real-World Applications: Dive Deep into Data Analysis, Machine Learning What you'll learn A strong foundation in Python programming concepts, including variables, data types, control flow, and functions. Effective use of various data structures, such as lists, tuples, dictionaries, and sets. Proficiency in the NumPy library for efficient numerical computations and array manipulation. Skillful application of the Pandas library for data cleaning, filtering, grouping, and aggregation. Exposure to fundamental machine learning concepts and algorithms using Scikit-learn. Requirements No experience required Description This comprehensive course is designed for both beginners and those looking to sharpen their data science skills. Through a step-by-step approach, you'll learn to harness Python's powerful libraries like Pandas, NumPy, Matplotlib, and Scikit-Learn, enabling you to analyze, visualize, and draw insights from data like a pro.What You'll Learn:Python Fundamentals for Data Science: Master the essentials of Python programming and understand how to apply them in data science.Data Analysis & Manipulation: Explore how to clean, filter, and manipulate large datasets using Pandas and NumPy.Data Visualization: Create stunning visualizations using Matplotlib and Seaborn to communicate insights effectively.Machine Learning Made Easy: Dive into key algorithms such as regression, classification, and clustering using Scikit-Learn, and apply them to real-world projects.Real-World Projects: Work on hands-on projects, including data analysis and predictive modeling, that will give you a portfolio to showcase your skills.Why Enroll in This Course?Hands-On Learning: Get practical experience with coding exercises, quizzes, and real-world projects.Industry-Relevant Skills: Acquire the tools and techniques used by top data scientists in the industry.Guided Support: Learn with easy-to-follow lessons, and get answers to your questions through interactive Q&A.Lifetime Access: Revisit lessons anytime, anywhere, and continue your learning journey at your own pace.Whether you're an aspiring data scientist, analyst, or someone looking to make data-driven decisions, this bootcamp is your gateway to a successful data science career. Enroll now and transform raw data into actionable insights! Who this course is for Individuals with no prior programming experience but a desire to learn data science. Homepage https://www.udemy.com/course/hands-on-python-data-science-data-science-bootcamp/ Screenshot Rapidgator https://rg.to/file/1d480f79a95ea852a6eacc8989996888/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://rg.to/file/c00f05967df0abd13890e035747c46fc/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html Fikper Free Download https://fikper.com/SWX9aLTkSJ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part2.rar.html https://fikper.com/qxDzGCIqhQ/frgwj.Hands.On.Python.Data.Science..Data.Science.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Augmented and Virtual Reality on Unity [Hands-on Course] Published 10/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 2h 5m | Size: 796 MB Build immersive AR/VR experiences with Unity. Explore 3D modeling, scripting, interaction design, and deployment. What you'll learn Understand how to create and set up Unity projects, including AR and VR environments Gain hands-on experience in scripting for AR and VR applications Learn to design and integrate 3D objects and UI elements into AR/VR projects Export and troubleshoot Unity projects for Android deployment Requirements Learners taking this course should have basic computer skills, including the ability to install software, navigate file systems, and manage simple settings. They will need to download and install Unity Hub and Unity, and instructions on how to do this will be provided during the course. Additionally, a computer running Windows or macOS that meets Unity's minimum system requirements is necessary, along with a smartphone (iOS or Android) for testing AR applications. For those focusing on the VR components, having a VR headset is optional but beneficial. An internet connection will also be required to download Unity and other course materials, as well as to test AR/VR integrations. No prior programming or game development experience is needed, making this course accessible to beginners. Description Unlock the exciting world of Augmented Reality (AR) and Virtual Reality (VR) development with our hands-on course using Unity! Designed for beginners and intermediate learners alike, this course will guide you through the entire process of creating immersive AR and VR experiences from scratch. Whether you're aiming to develop games, interactive simulations, or cutting-edge applications, this course provides the practical skills and knowledge to bring your ideas to life.Throughout the course, you will explore Unity's powerful engine, mastering essential tools and techniques such as 3D modeling, scripting with C#, and interaction design. You'll also learn to integrate real-world environments into your projects using AR Foundation and deploy VR experiences across various devices like Oculus.We focus heavily on project-based learning, ensuring that you not only understand the theory but also apply it immediately by working on real-world AR/VR projects. You will develop key competencies like environment setup, object interaction, UI/UX design in immersive spaces, and optimizing performance for various platforms.By the end of the course, you'll have a strong foundation in AR and VR development and the confidence to create professional-grade applications for entertainment, education, healthcare, and more. With the growing demand for AR/VR skills, this course equips you to stay ahead in a rapidly evolving industry. Ready to dive into the future of technology? Let's get started! Who this course is for This course is designed for beginners who are interested in learning how to develop augmented reality (AR) and virtual reality (VR) applications using Unity, with no prior programming or game development experience required. It's ideal for aspiring game developers, software engineers, and tech enthusiasts who want to dive into the world of immersive technologies. Whether you're a student looking to enhance your skills, a professional exploring new areas of technology, or a hobbyist eager to build your own AR/VR projects, this course provides step-by-step guidance to help you succeed. It's also suitable for educators and content creators seeking to integrate AR/VR into their work. Homepage https://www.udemy.com/course/arvrcourse/ Screenshot Rapidgator https://rg.to/file/45258f8742dbef386d316488207fa090/kqotn.Augmented.and.Virtual.Reality.on.Unity.Handson.Course.rar.html Fikper Free Download https://fikper.com/XZKiaTeFgi/kqotn.Augmented.and.Virtual.Reality.on.Unity.Handson.Course.rar.html No Password - Links are Interchangeable

Free Download 7 Days Of Hands-On Ai Development Bootcamp Published 10/2024 MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz Language: English | Size: 1.21 GB | Duration: 3h 44m From Zero to AI: A Beginner's Guide to Building and Deploying AI Projects What you'll learn Build, train, and deploy machine learning models for real-world applications like classification, regression, and NLP tasks. Master essential AI concepts, including neural networks, data preprocessing, model evaluation, and text processing. Deploy AI models as web services using Flask, enabling real-time user interaction and cloud deployment on platforms like Heroku. Utilize pre-trained models and transfer learning techniques to quickly implement NLP and image classification tasks. Requirements No Prior Coding Knowledge Required: The course starts from the basics of Python, so no prior programming experience is needed. Basic Computer Usage: Learners should know how to navigate their computer, install software, and use a web browser. Basic Math Knowledge: Understanding of algebra and basic linear algebra (matrices, vectors) will be helpful. Computer with Internet Access: A laptop or desktop is needed to install software, download data, and follow the lessons. Description Welcome to "7 Days of Hands-On AI Development Bootcamp: Build Real-World AI Projects from Scratch," a course designed for absolute beginners who are eager to step into the world of artificial intelligence (AI). This course is ideal for those with little to no prior experience in programming or AI but have the curiosity and drive to learn. Whether you're a student, a career-changer, or simply interested in building your first AI project, this course is structured to take you from zero knowledge to deploying real-world AI models.Over the span of 7 days, you'll build projects every day, starting from the basics of Python programming to deploying a fully-functional AI model on the web. Each day is packed with hands-on projects, practical applications, and easy-to-follow instructions to ensure that you gain not just theoretical knowledge but real-world skills that you can apply right away.What You Will Learn:This course covers everything you need to get started with AI development. Each day is focused on a new topic, gradually building on what you've learned previously. Here's a brief overview of what you can expect:Day 1: Python for AI BasicsWe start with the foundation-Python programming. Python is the most popular language for AI, and by the end of Day 1, you'll understand basic Python syntax, data types, control flow, and how to use essential libraries like NumPy and Pandas. You'll also build your first simple program, setting the stage for the AI projects to come.Day 2: Exploratory Data Analysis (EDA)Data is the backbone of AI, and before you can train models, you need to know how to analyze it. On Day 2, you will learn how to clean, manipulate, and visualize data. Using libraries like Matplotlib and Seaborn, you'll explore datasets, handle missing data, and visualize relationships between different features. You'll work with real-world data to uncover hidden insights.Day 3: Introduction to Machine LearningOn Day 3, we dive into machine learning with a focus on Linear Regression. You'll learn the fundamentals of supervised learning, including how to split your dataset into training and testing sets, train a model, and evaluate its performance. By the end of the day, you'll build your first predictive model to forecast continuous variables like house prices.Day 4: Classification Models in Machine LearningNext, you'll tackle classification problems using Logistic Regression. Whether predicting if an email is spam or classifying customer churn, this day teaches you how to build a classification model and evaluate it using metrics like precision, recall, and accuracy. You'll also learn how to interpret confusion matrices to understand the performance of your model.Day 5: Neural Networks and Deep LearningDay 5 introduces the fascinating world of neural networks. You'll build a simple feedforward neural network to classify handwritten digits using the MNIST dataset. You'll gain hands-on experience with libraries like TensorFlow or PyTorch, and learn about key concepts such as activation functions, backpropagation, and training deep learning models.Day 6: Natural Language Processing (NLP)Day 6 focuses on Natural Language Processing (NLP), where you'll build a sentiment analysis model using text data. By leveraging pre-trained models from Hugging Face or building your own with TensorFlow, you'll classify text as positive or negative. This day provides an introduction to text preprocessing, tokenization, and transfer learning in NLP.Day 7: Deploying an AI Model as a Web ServiceOn the final day, you'll learn how to deploy your AI models as a web service using Flask. You'll integrate your AI models into a web application, making them accessible to users via a browser. Additionally, you'll deploy your app to a cloud platform like Heroku. By the end of the day, you'll have a working AI-powered web app that anyone can interact with online.Who This Course is For:Absolute Beginners: No prior programming or AI knowledge is required. This course is designed to be beginner-friendly.Students: If you're studying AI, machine learning, or data science, this course will give you the practical hands-on experience to solidify your learning.Career-Changers: If you're looking to switch to a career in AI or machine learning, this course will give you the foundation to start your journey.Hobbyists and Enthusiasts: If you're simply curious about AI and want to build projects for fun, this course will provide you with easy-to-follow instructions.Why Take This Course?This course is not just about theory-it's about building. You'll have real projects in your portfolio by the end of the week. Each day is packed with practical coding exercises and project-building that makes learning AI development easy and approachable. Whether you want to boost your career, impress employers, or explore the world of AI for personal interest, this course is designed to make that journey engaging, interactive, and rewarding.So, are you ready to build AI projects from scratch in just 7 days? Let's get started! Overview Section 1: Introduction to Course Lecture 1 Introduction to Course Section 2: Day 1: Python for AI Basics Lecture 2 Introduction to Day 1: Python for AI Basics Lecture 3 Introduction to Python Programming Lecture 4 Python Basics Lecture 5 Working with Lists and Dictionaries Lecture 6 Introduction to NumPy Lecture 7 Introduction to Pandas Lecture 8 Hands-on Project: Basic Data Manipulation and File Handling Section 3: Day 2: Exploratory Data Analysis (EDA) Lecture 9 Introduction to Day 2: Exploratory Data Analysis (EDA) Lecture 10 Loading and Inspecting Data Lecture 11 Handling Missing Data Lecture 12 Data Transformation and Feature Engineering Lecture 13 Visualizing Data with Matplotlib and Seaborn Lecture 14 Descriptive Statistics Lecture 15 Hands-on Project: Exploratory Data Analysis on a Real Dataset Section 4: Day 3: Introduction to Machine Learning (ML) Lecture 16 Introduction to Day 3: Introduction to Machine Learning (ML) Lecture 17 What is Machine Learning? Lecture 18 Supervised Learning and Dataset Preparation Lecture 19 Building a Linear Regression Model Lecture 20 Evaluating the Model Lecture 21 Feature Scaling and Regularization Lecture 22 Hands-on Project: Predicting House Prices using Linear Regression Section 5: Day 4: Classification Models in Machine Learning Lecture 23 Introduction to Day 4: Classification Models in Machine Learning Lecture 24 What is Classification? Lecture 25 Logistic Regression for Classification Lecture 26 Building a Logistic Regression Classifier Lecture 27 Evaluating the Classification Model Lecture 28 Visualizing the Decision Boundary Lecture 29 Hands-on Project: Spam Detection Using Logistic Regression Section 6: Day 5: Introduction to Neural Networks and Deep Learning Lecture 30 Introduction to Day 5: Introduction to Neural Networks and Deep Learning Lecture 31 What is a Neural Network? Lecture 32 Introduction to Deep Learning Frameworks Lecture 33 MNIST Dataset Overview Lecture 34 Building a Simple Neural Network for MNIST Classification Lecture 35 Evaluating the Neural Network Lecture 36 Understanding Activation Functions Lecture 37 Hands-on Project: Handwritten Digit Classification using Neural Networks Section 7: Day 6: Building a Sentiment Analysis Model Using Natural Language Processing Lecture 38 Introduction to Day 6: Building a Sentiment Analysis Model Using NLP Lecture 39 Introduction to Natural Language Processing (NLP) Lecture 40 Sentiment Analysis: Understanding Text Classification Lecture 41 Text Preprocessing Lecture 42 Using Pre-trained Models for NLP (Hugging Face) Lecture 43 Building a Sentiment Analysis Model with TensorFlow Lecture 44 Evaluating the Model Lecture 45 Hands-on Project: Sentiment Analysis Using Pre-trained NLP Models Section 8: Day 7: Deploying an AI Model as a Web Service Lecture 46 Introduction to Day 7: Deploying an AI Model as a Web Service Lecture 47 Introduction to Flask for Web Development Lecture 48 Creating a Web Interface for Your Model Lecture 49 Deploying the Flask App to Heroku Lecture 50 Testing the Web Service This course is designed for absolute beginners who are eager to learn AI development but have little to no prior experience in programming or machine learning. It is perfect for individuals who are curious about how AI works and want to get hands-on experience building real-world AI projects from scratch. Whether you're a student, career changer, or hobbyist, this course provides step-by-step guidance, making complex AI concepts accessible. If you're motivated to learn how to build AI models and deploy them, even without a technical background, this course is for you! Screenshot Homepage https://www.udemy.com/course/7-days-of-hands-on-ai-development-bootcamp/ Rapidgator https://rg.to/file/2fcd9905cfc9f57b9032cce2e0403e2f/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part1.rar.html https://rg.to/file/d83927209299552b7fe4b1efeeb833fc/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part2.rar.html Fikper Free Download https://fikper.com/DgJvnmzMSu/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part2.rar.html https://fikper.com/uEvAaliyDi/caujn.7.Days.Of.HandsOn.Ai.Development.Bootcamp.part1.rar.html No Password - Links are Interchangeable

Free Download Agentic AI - Design pattern to hands-on CrewAI AutoGen Published 10/2024 Created by Soumen Kumar Mondal MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 22 Lectures ( 2h 40m ) | Size: 1.57 GB Design pattern of agent AI to Hands-on with Crew AI and AutoGen. Agentic RAG, AgentOps, AutoGenStudio & AgentOps. What you'll learn: Agentic AI concepts and workflow, overview and characteristics, Applications of agentic AI. Design pattern of Agentic AI. Crew AI overview and components. Crew AI Hands-On build simple agent with streamlit app. Crew AI hands on Hierarchical Process, Customized Manager Agent Build Trip Planner Agentic app with Streamlit. Build Python code with Agentic AI. Integrate Agents with AgentOps. Overview and concepts of AutoGen. Build various conversational pattern sequential, GroupChat, Custom Tools with AutoGen Hands-on. Build Agentic RAG with AutoGen. Build Agent based RAG with AutoGen and streamlit. AutoGen studio concepts. AutoGenStudio hands-on , build skills with AutogenStudio, Build model with AutogenStudio, build workflow with autogenstudio. Requirements: Basic understand of Python. Description: This is an in-depth course that will equip you with the foundational concepts and practical skills needed to master Agentic AI. Dive into the exciting world of AI agents, where you'll learn how agents autonomously perform tasks, make decisions, and collaborate to solve complex problems. This course covers key design patterns like reflection, planning, and multi-agent workflows, which are essential to building intelligent, adaptive AI solutions.You'll get hands-on experience with leading frameworks such as Crew AI and Microsoft AutoGen, learning how to implement multi-agent systems that excel in cooperation and efficiency. The course also introduces Agentic RAG, a Retrieval-Augmented Generation approach using agents for smarter information retrieval, and AgentOps, focusing on the operational lifecycle of AI agents. Additionally, we will explore AutoGenStudio for seamless agent development and AgentOps for managing and optimizing agent performance.Whether you're a data scientist, developer, AI enthusiast, or quality engineer, this course is tailored to advance your skills in designing, building, and deploying sophisticated agentic AI solutions. Join us and become proficient in shaping the future of autonomous intelligent systems.The course will get updated with new Agentic AI concepts and agent based AI apps. Enroll and be part of future of AI that is Agentic AI. Who this course is for: Data Scientists. AI enthusiast Students Quality Engineer Software Developer Business Analysts Homepage https://www.udemy.com/course/agentic_ai/ Rapidgator https://rg.to/file/7d438233df0d7b4c26f48cb7293f9d97/cylfv.Agentic.AI..Design.pattern.to.handson.CrewAI.AutoGen.part1.rar.html https://rg.to/file/48612d9fdb23cb339cd9429b86845717/cylfv.Agentic.AI..Design.pattern.to.handson.CrewAI.AutoGen.part2.rar.html Fikper Free Download https://fikper.com/7TONcRvMJp/cylfv.Agentic.AI..Design.pattern.to.handson.CrewAI.AutoGen.part1.rar https://fikper.com/EsYnEgj6Fg/cylfv.Agentic.AI..Design.pattern.to.handson.CrewAI.AutoGen.part2.rar No Password - Links are Interchangeable

Free Download Master Power BI - 30 Hands-On Projects for Data Visualization Last updated 9/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 21h 21m | Size: 10.06 GB From Data Preprocessing to Advanced Business Intelligence, Analytics-Become an In-Demand Microsoft Power BI Expert! What you'll learn Understand the business intelligence workflow from end-to-end Connect Microsoft Power BI to data sources Real life case studies and projects to understand how things are done in the real world Design and implement the same B.I. tools used by professional analysts and data scientists Become proficient in creating stunning visualizations that communicate complex data effortlessly. Acquire real-world skills through project-based learning, making you job-ready. Requirements Basic knowledge of Power B.I Description The future of Power BI holds a promise of even greater capabilities, innovation, and impact in the realm of data analytics and business intelligence. As we peer into the horizon, several exciting trends and developments are likely to shape the trajectory of Power BI:Advanced AI Integration: The convergence of Power BI with artificial intelligence and machine learning will enable automated insights extraction, predictive analytics, and natural language processing. Users will be able to interact with their data using natural language queries, making data analysis more accessible and intuitiveEnhanced Data Connectivity: Power BI will continue to expand its data connectivity options, facilitating seamless integration with an ever-growing variety of data sources, including IoT devices, cloud services, and external databases. This will empower organizations to derive insights from diverse and complex data streamsReal-time Analytics: The future will see Power BI becoming even more real-time and dynamic. Businesses will be able to monitor and visualize live data streams, enabling rapid decision-making based on up-to-the-minute informationEmbedded Analytics: Power BI will increasingly be embedded within other applications and platforms, bringing analytics directly to where users work. This will enhance the user experience and enable organizations to infuse data-driven insights into their day-to-day operationsEnhanced Collaboration: Collaborative features will evolve, allowing teams to work more seamlessly on shared reports and dashboards. Enhanced commenting, annotation, and version control will foster better teamwork in data analysisCustom Visualizations: The future of Power BI will likely include more advanced and customizable visualizations. Users will have the ability to create unique and tailored visuals that precisely represent their data and insightsData Governance and Security: As data privacy and security concerns continue to rise, Power BI will place a strong emphasis on enhancing data governance features. This includes tighter controls over data access, sharing, and compliance with regulations like GDPRCloud-Native Approach: Power BI's integration with the cloud will deepen, enabling users to harness the full potential of cloud computing, such as scalability, flexibility, and collaborative capabilitiesContinuous Innovation: Microsoft's commitment to ongoing development means that Power BI will continually evolve with new features, updates, and improvements. User feedback will continue to play a pivotal role in shaping the platform's evolutionThe future of Power BI is an exciting one, marked by cutting-edge technology, democratized data access, and transformative insights that will empower businesses and individuals to make smarter decisions and drive innovation in an increasingly data-driven worldIn this course you will work on 30 Power BI projects listed below:Project-1: Global Data Professionals Benchmarking DashboardProject-2: Beijing Air Quality Dashboard: DAX and VisualizationsProject-3: Real Estate in Daegu: Apartment Pros and Cons AnalysisProject-4: Super Market Sales Analysis: Power Query and DAXProject-5: COVID-19 WHO Dataset Insights: Power Query and DAXProject-6: Credit Card Defaulters Analysis: Power Query and DAXProject-7: Crime in Chicago: 3-Year Analysis with VisualizationProject-8: Customer Churn Analysis: Real-World Business ProblemProject-9: Customer Churn Analysis (Advanced Features): Data ModelingProject-10: Attrition Analysis: HR Data Transformation and VisualizationProject-11: Road Accident Analysis: Relations and Time IntelligenceProject-12: Generic Sales Analysis for Practice: Data TransformationProject-13: Maven Toy Sales Analysis: Transformations and DAXProject-14: Maven Pizza Sales Analysis: Transformations and DAXProject-15: IT Spend Analysis: Variance of Global IT FirmProject-16: Sales Data Analysis: Generic Super Market SalesProject-17: Foods and Beverages Sales Analysis DashboardProject-18: Budget vs. Actual Spending Analysis DashboardProject-19: HR Analytics Dashboard: Attrition AnalysisProject-20: E-commerce Super Store Sales AnalysisProject-21: Patient Summary Dashboard: Medical RecordsProject-22: Global Super Store Sales Data AnalysisProject-23: Boston Housing Dataset Dashboard: Real EstateProject-24: Crime in Los Angeles: Yearly City AnalysisProject-25: IMDB Movie Dataset Dashboard: Movie ComparisonProject-26: Hotel Reservation Dashboard: Global Hotel BusinessProject-27: Toy Sales Data Analysis: Practice DatasetProject-28: Netflix Stock Price Dashboard: Business AnalysisProject-29: Personal Finance Management Dashboard: Financial InsightsProject-30: A Deep Dive into Bank Customer Churn with Power BI Who this course is for Beginners in Power B.I Homepage https://www.udemy.com/course/data-analysis-power-bi-projects/ Rapidgator https://rg.to/file/0158af3b0f78368493e1baadd5a12fd7/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part01.rar.html https://rg.to/file/0305a9a527db0f027679a2610569af47/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part08.rar.html https://rg.to/file/06a67de6bb31de8cacb6a4494a5a24a4/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part05.rar.html https://rg.to/file/19b08e027c368328af29fcc8613623f2/vbsdd.Master.Power.BI.30.HandsOn.Projects.for.Data.Visualization.part11.rar.html 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Free Download Hands-On Azure Labs - Practicing Real-World Azure Skills Published 9/2024 Created by Thomas Mitchell MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 27 Lectures ( 1h 12m ) | Size: 388 MB 2+ Hours of Narrated HANDS-ON Azure Lab Simulations to Complement Azure Any Course, Including AZ-900, AZ-104, AZ-305 What you'll learn: Manage Azure Identities and Governance Implement and Manage Azure Storage Deploy and Manage Azure Compute Resources Implement and Manage Azure Virtual Networking Monitor and Maintain Azure Resources Requirements: To access the hands-on lab simulations featured in this course, simply enroll in this course and then click the special registration link in the "Course Setup" section to get free access to the lab simulations on the labITpro website. No credit card required. Labs are best performed on a desktop or laptop computer. Description: Are you preparing for Microsoft Azure certification? This combination of lab walk-throughs and complimentary access to labITpro lab simulations is designed to provide practical, real-world experience with core Azure services and concepts, helping you confidently approach msot Azure exams. Each lab offers step-by-step instructions, interactive environments, and scenarios you'll likely face as an Azure Administrator.Course OverviewThis collection of lab simulations teaches you the practical experience needed to master essential Azure services, manage resources, and optimize environments. It consists of 60+ minutes of lab overview videos and over 3 hours of hands-on activities.You will learn by doing, gaining hands-on experience with:Managing Azure Identities and GovernanceExplore Entra ID concepts, including user and group management, role assignments, self-service password reset. Implement RBAC, configure resource locks, and manage resource tags.Implementing and Managing StorageConfigure storage accounts, deploy and manage blobs and files, and setup secure storage access with SAS tokens. Deploying and Managing Azure VM ResourcesWork hands-on with Azure virtual machines (VMs) and virtual machine scale sets (VMSS). Learn how to deploy, configure, and manage these resources, as well as move them between resource groups.Configuring and Managing Virtual NetworkingLearn how to deploy and configure Azure virtual networks (vNets), subnets, and vNet peering. Gain experience with configuring network security groups (NSGs), Azure load balancer, and Azure Bastion.Backing Up Azure ResourcesGain hands-on experience with backup and recovery options for Azure resources, using Azure Backup, Backup Vaults, and Recovery Services Vaults. Perform VM backups and restoresWhy Choose This Course?This course takes Azure exam preparation to the next level by offering:Interactive Lab Simulations: Gain practical experience with real-world tasks and challenges that closely mirror those you'll face as an Azure Administrator.Step-by-Step Guidance: Each lab is designed to be easy to follow with detailed instructions and explanations that allow you to work at your own pace.Exam Aligned Content: The labs directly map to key skills measured in most Azure exams, giving you the confidence you need to ace any Azure exam you're preparing for.Real-World Scenarios: Prepare for on-the-job tasks with realistic scenarios that reinforce the knowledge required for Azure administration.Who Should Enroll?IT professionals aiming to earn Azure certification.Those looking to advance their career in cloud computing and Azure administration.Anyone seeking hands-on experience in managing and implementing Azure environments.Get Started TodayEnroll now to get free access dozens of Azure lab simulations, practice key concepts, and build the confidence you need to succeed as an Azure Administrator. This course is perfect for anyone preparing for Azure certification, as well as those looking to strengthen their skills in Azure management.Don't just study Microsoft Azure-experience it with these immersive lab simulations! Who this course is for: This collection of hands-on Azure lab simulations is designed for students who are learning how to complete everyday tasks in Microsoft Azure. Homepage https://www.udemy.com/course/hands-on-azure-labs-practicing-real-world-azure-skills/ Rapidgator https://rg.to/file/4abf89dc15d067dcf9c7007f61639b9b/tbneg.HandsOn.Azure.Labs.Practicing.RealWorld.Azure.Skills.rar.html Fikper Free Download https://fikper.com/huVfao3uZt/tbneg.HandsOn.Azure.Labs.Practicing.RealWorld.Azure.Skills.rar.html No Password - Links are Interchangeable

Free Download Practical Windows Server Fundamentals - Hands on Labs Published 9/2024 Created by Dan Mill MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 54 Lectures ( 5h 4m ) | Size: 1.94 GB Hands-On Training for Effective Windows Server Management. Mastering Essential Skills for Server Administration. What you'll learn: How to Install Windows Server and the requirements to do so. How to install and configure Active Directory Domain Services (AD DS). User and group management, and configuring security policies within an AD environment. Setting up a file server. Managing shared folders and permissions to ensure secure access to resources. Configuring RAID using both traditional disk management and storage spaces to improve performance and redundancy. Installing and configuring a DHCP server for dynamic IP address assignment. Understanding network protocols and managing IP address leases. Installing and configuring Internet Information Services (IIS) to host websites and applications. Deploying and managing Remote Desktop Services for secure remote access to desktops and applications. Maintenance strategies, monitoring, and performance optimization to ensure smooth server operations. Server Monitoring and Backup Best Practices. Requirements: Students should have a foundational knowledge of IT concepts, including networking fundamentals, operating systems, and basic computer hardware. A basic understanding of the Windows operating environment is crucial, especially Windows Server. A willingness to engage in practical exercises, experiment with configurations, and troubleshoot issues is important. Description: Dive into the world of Windows Server administration with our Practical Windows Server Fundamentals - Hands on Labscourse, designed for both aspiring IT professionals and seasoned system administrators looking to enhance their skills. This hands-on course provides a comprehensive introduction to the key components of Windows Server, combining theoretical knowledge with practical experience.Throughout this course, you will learn how to set up and manage essential Windows Server features, including Active Directory, DHCP, and IIS. Engage in interactive labs where you will gain valuable experience in configuring a file server, implementing RAID for data redundancy, and deploying Remote Desktop Services for remote access. Each lab is structured to reinforce your understanding of core concepts, ensuring you can apply what you've learned in real-world scenarios.By the end of the course, you will be well-equipped to handle common server management tasks, implement best practices for security and performance, and navigate the complexities of a Windows Server environment. Whether you're starting your journey in IT or looking to sharpen your existing skills, this course offers the tools and knowledge necessary to excel.Join us to develop your server management expertise through practical exercises that mimic real-life situations, preparing you for a successful career in IT administration. Enroll today and take the first step toward mastering Windows Server! Who this course is for: Individuals who are just starting their careers in IT and want to build foundational skills in server management. Professionals looking to switch to a role in system administration will benefit from the practical experience provided in this course. Homepage https://www.udemy.com/course/windows-server-fundamentals/ Rapidgator https://rg.to/file/1cbfdb233a181de645c882f9d0418398/tyzpk.Practical.Windows.Server.Fundamentals..Hands.on.Labs.part2.rar.html https://rg.to/file/819ac972cae1c583996758c43ce87ccc/tyzpk.Practical.Windows.Server.Fundamentals..Hands.on.Labs.part1.rar.html Fikper Free Download https://fikper.com/hF2o6dX5Y3/tyzpk.Practical.Windows.Server.Fundamentals..Hands.on.Labs.part1.rar.html https://fikper.com/tisTUD6Tz5/tyzpk.Practical.Windows.Server.Fundamentals..Hands.on.Labs.part2.rar.html No Password - Links are Interchangeable

Free Download Hands-On Machine Learning with Python - Real Projects Published 9/2024 Created by TechJedi LLP MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Genre: eLearning | Language: English | Duration: 39 Lectures ( 3h 4m ) | Size: 2.2 GB Master Machine Learning with Python: Build, Train & Deploy Models with Real-World Projects What you'll learn: Implement Machine Learning algorithms in Python using libraries like scikit-learn and TensorFlow. Preprocess and analyze datasets to build predictive models. Evaluate model performance and select the best algorithms for various problems. Develop and deploy real-world machine learning applications from scratch. Requirements: Basic knowledge of Python programming is helpful but not mandatory. No prior experience in Machine Learning required - we'll start from the basics. A computer with Python and essential libraries installed (instructions provided in the course). Curiosity and a willingness to learn - the course is designed for all levels! Description: Dive into the exciting world of Machine Learning with our comprehensive course designed for aspiring data scientists, Python developers, and AI enthusiasts. This course will equip you with the essential skills and practical knowledge to harness the power of Machine Learning using Python.You will begin with the fundamentals of Machine Learning, exploring its definition, types, and workflow, while setting up your Python environment. As you progress, you'll delve into data preprocessing techniques to ensure your datasets are clean and ready for analysis.The course covers supervised and unsupervised learning algorithms, including Linear Regression, Decision Trees, K-Means Clustering, and Prin[beeep]l Component Analysis. Each section features hands-on projects that reinforce your understanding and application of these concepts in Python.You will learn to evaluate and select models using metrics and hyperparameter tuning, ensuring your solutions are both effective and efficient. Our in-depth exploration of Deep Learning with TensorFlow will introduce you to neural networks and advanced architectures like Convolutional Neural Networks (CNN).Additionally, you'll discover the essentials of Natural Language Processing (NLP), mastering text preprocessing and word embeddings to extract insights from textual data. As you approach the course's conclusion, you will gain valuable skills in model deployment, learning how to create web applications using Flask and ensure your models are production-ready.Cap off your learning journey with a real-world capstone project where you will apply everything you've learned in an end-to-end Machine Learning workflow, culminating in a presentation and peer review.Whether you are a beginner eager to enter the field or a professional looking to enhance your skill set, this course provides the tools and knowledge necessary to succeed in the dynamic landscape of Machine Learning. Join us and take the first step toward mastering Machine Learning in Python today! Who this course is for: Beginners interested in Machine Learning who want to learn through hands-on projects. Python developers looking to expand their skills in data science and machine learning. Data analysts and statisticians eager to apply machine learning techniques to real-world problems. Anyone curious about AI and Machine Learning who wants to build practical models without prior experience. Homepage https://www.udemy.com/course/hands-on-machine-learning-with-python-real-projects/ Rapidgator https://rg.to/file/02d6ffc63e6ece2a4e12c2e90128cedb/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part3.rar.html https://rg.to/file/338df430412602fc1fc32a7258664316/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part2.rar.html https://rg.to/file/42436adc219bc9af71d070f5eeaf0cdb/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part1.rar.html Fikper Free Download https://fikper.com/KcdzKXVqlA/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part2.rar.html https://fikper.com/uVJ7SQr1t6/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part3.rar.html https://fikper.com/xoPGTfFCF2/ybabz.HandsOn.Machine.Learning.with.Python.Real.Projects.part1.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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