729 Computing & Software Development Tools courses delivered Online

Essentials of Cloud Computing are for anybody with an IT foundation that is keen on understanding what is Cloud Computing? It will outfit you with essential information of Cloud Technologies being used today. Cloud computing has developed from being only a trendy expression to a genuine business choice that numerous organizations are considering. Hence learning about it is important to make strategic plan to move applications and services to the Cloud. At the end of this course, you will accomplish essential comprehension of what is Cloud Computing; comprehend Cloud Segments and Cloud Deployment Models. You will also be familiarized to Key Cloud Companies and you will pick up information of Cloud Services and Cloud Security. Course Highlights Certified Diploma in Cloud Computing is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Certified Diploma in Cloud Computing into 12 modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 6 hours, 40 minutes and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Certified Diploma in Cloud Computing Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Certified Diploma in Cloud Computing is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Certified Diploma in Cloud Computing is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Certified Diploma in Cloud Computing What Is Cloud Computing? FREE 00:15:00 Benefits Of Cloud Computing FREE 01:00:00 Is Cloud Computing Really Secure? 01:00:00 The Concept of Public Cloud 00:30:00 The Concept of Private Cloud 00:30:00 Hybrid Cloud and It's Advantages 00:30:00 Types of Cloud for Your Business 00:30:00 Key Features of Cloud Computing 01:00:00 How Cloud Computing Can Revolutionize Your Business? 00:30:00 Wrapping Up 00:15:00 Reference Books Cloud Computing Complete Guide 00:00:00 Cloud Services 00:00:00 Mock Exam Mock Exam-Certified Diploma in Cloud Computing 00:20:00 Final Exam Final Exam-Certified Diploma in Cloud Computing 00:20:00

Are interested in understanding and protecting big data? Do you want to utilize any data that have been presented to you to its full extent? This Bundle Course will solve all of your problems!  Interpreting data is of immense importance when you handling data. Only then you can fully use it to your business. At the same time when you use data online, there is always a chance that your data can be stolen. Learn how to protect your information in this data bundle course. Make you own database and reap its benefits. In this course, you will know how to create your database and database user.You will then master how to import database tables since most new scripts come with a built-in installer, the scripts create all database, but when the time comes that there is no installer provided, then you have to create one manually. Upon completion of the course the students will possess a solid knowledge of data protection law, as well as an understanding of the practical implications for different organisations. Course Highlights Data Bundle Course is an award winning and the best selling course that has been given the CPD Certification & IAO accreditation. It is the most suitable course anyone looking to work in this or relevant sector. It is considered one of the perfect courses in the UK that can help students/learners to get familiar with the topic and gain necessary skills to perform well in this field. We have packed Data Bundle Course into several modules for teaching you everything you need to become successful in this profession. To provide you ease of access, this course is designed for both part-time and full-time students. You can become accredited in just 20/30 hours and it is also possible to study at your own pace. We have experienced tutors who will help you throughout the comprehensive syllabus of this course and answer all your queries through email. For further clarification, you will be able to recognize your qualification by checking the validity from our dedicated website. Why You Should Choose Data Bundle Course Lifetime access to the course No hidden fees or exam charges CPD Accredited certification on successful completion Full Tutor support on weekdays (Monday - Friday) Efficient exam system, assessment and instant results Download Printable PDF certificate immediately after completion Obtain the original print copy of your certificate, dispatch the next working day for as little as £9. Improve your chance of gaining professional skills and better earning potential. Who is this Course for? Data Bundle Course is CPD certified and IAO accredited. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic backgrounds. Requirements Our Data Bundle Course is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path You will be ready to enter the relevant job market after completing this course. You will be able to gain necessary knowledge and skills required to succeed in this sector. All our Diplomas' are CPD and IAO accredited so you will be able to stand out in the crowd by adding our qualifications to your CV and Resume. Module 1: Database Basics What is a Database FREE 01:00:00 Definition of Terms FREE 01:00:00 Database Users and Languages 01:00:00 Components of a Database System 01:00:00 Basic Set Concepts 01:00:00 Relations as a Database 01:00:00 Relational Database Operators 01:00:00 Database keys 01:00:00 Module 2: Understanding Big Data What Is Big Data? Hint: You're a Part of It Every Day FREE 01:00:00 Why Is Big Data Important? FREE 01:00:00 Why IBM for Big Data? 01:00:00 All About Hadoop: The Big Data Lingo Chapter 01:00:00 InfoSphere BigInsights: Analytics for Big Data at Rest 01:00:00 IBM InfoSphere Streams: Analytics for Big Data in Motion 01:00:00 Module 3: Data Protection Why Internet Marketers Need More Protection FREE 01:00:00 You Can't Be Anonymous FREE 00:15:00 Start With Basic Security Measures 01:00:00 Using Disclaimers 01:00:00 Proper Use Of Email 01:00:00 Protecting Product Rights 01:00:00 Protecting Your Website 01:00:00 Terms Of Use Or Service 00:30:00 Privacy Policy 01:00:00

SQL Azure is Microsoft's cloud database service. Based on SQL Server database technology and built on Microsoft's Windows Azure cloud computing platform, SQL Azure enables organizations to store relational data in the cloud and quickly scale the size of their databases up or down as business needs change.  This Azure - SQL focuses primarily on Azure SQL Database as a database service that can quickly and efficiently scale to meet demand, is automatically highly available, and supports a variety of third party software. Learn how to deploy relational and non-relational databases in the cloud and explore the breadth of Azure's data services, from a single database instance to a massive scale data warehouse for working with Big data. You'll gain an understanding of how to configure firewall rules, manage log-ins and users, as well as roles and permissions, perform a database restore, and generally secure an Azure SQL database. Finally, you'll be introduced to Azure SQL Data Warehouse, a fully managed and scalable cloud service, that is compatible with other Azure offerings, such as Machine Learning and Data Factory, as well as existing SQL Server tools. What Will I Learn? Overview and provision Azure SQL Connect to Azure SQL DB and Migrate DB to Azure Work with SQL security and metrics Configure SQL DB auditing Copy and export a database Use DB Self-Service Restore and SQL DB Geo-Replication Who is the target audience? Students wanting an understanding of Azure SQL and to build their skills. Requirements Basic understanding of Azure and SQL concepts Introduction Introduction FREE 00:02:00 Azure SQL Azure SQL 00:02:00 Provisioning Azure SQL 00:06:00 Connecting to Azure SQL DB 00:08:00 Migrating to Azure DB 00:06:00 Understanding SQL Security 00:03:00 Understanding SQL DB Metrics and Auditing 00:05:00 Backing Up and Protecting your Database 00:05:00 Using SQL DB Geo-Replication 00:03:00 Conclusion Course Recap 00:02:00 Course Certification

Azure Storage is Microsoft's cloud storage solution for modern data storage scenarios. Azure Storage offers a massively scalable object store for data objects, a file system service for the cloud, a messaging store for reliable messaging, and a NoSQL store.  This Azure - Azure Storage is designed to instruct you on Azure, and specifically how it pertains to containers. In this course, you will gain a comprehensive overview of storage in Azure. The course will teach you how to work with Azure storage accounts. You will learn how to expose file shares to multiple VMs in Azure at the same time. It guides you the procedures of using Blob storage, File Storage, and Content Delivery Network. Additionally, you will know how to monitor the storage and look at Azure File Sync. You will also review CDN profile. Finally, the course teaches you how to work with Backup Vault and site Recovery. What Will I Learn? Work with Azure storage accounts Use Blob Storage Use Content Delivery Network Work with Backup Vault and Site Recovery Requirements Some prior knowledge in Azure is required, or the completion of Introduction to Azure course Introduction Introduction FREE 00:03:00 Working with Storage Azure Storage Overview 00:03:00 Working with Azure Storage Accounts 00:09:00 Storage Access 00:05:00 Using Azure Blob Storage 00:06:00 Using Azure File Storage 00:04:00 Azure File Sync 00:10:00 Monitoring Storage 00:03:00 Content Delivery Network 00:03:00 CDN Profile 00:06:00 Azure Backup Vault 00:04:00 Azure Site Recovery 00:03:00 Conclusion Course Recap 00:03:00 Course Certification

Duration 2 Days 12 CPD hours This course is intended for This class is primarily intended for the following participants: Technical employees using GCP, including customer companies, partners and system integrators deployment engineers, cloud architects, cloud administrators, system engineers , and SysOps/DevOps engineers. Individuals using GCP to create, integrate, or modernize solutions using secure, scalable microservices architectures in hybrid environments. Overview Connect and manage Anthos GKE clusters from GCP Console whether clusters are part of Anthos on Google Cloud or Anthos deployed on VMware. Understand how service mesh proxies are installed, configured and managed. Configure centralized logging, monitoring, tracing, and service visualizations wherever the Anthos GKE clusters are hosted. Understand and configure fine-grained traffic management. Use service mesh security features for service-service authentication, user authentication, and policy-based service authorization. Install a multi-service application spanning multiple clusters in a hybrid environment. Understand how services communicate across clusters. Migrate services between clusters. Install Anthos Config Management, use it to enforce policies, and explain how it can be used across multiple clusters. This two-day instructor-led course prepares students to modernize, manage, and observe their applications using Kubernetes whether the application is deployed on-premises or on Google Cloud Platform (GCP). Through presentations, and hands-on labs, participants explore and deploy using Kubernetes Engine (GKE), GKE Connect, Istio service mesh and Anthos Config Management capabilities that enable operators to work with modern applications even when split among multiple clusters hosted by multiple providers, or on-premises. Anthos Overview Describe challenges of hybrid cloud Discuss modern solutions Describe the Anthos Technology Stack Managing Hybrid Clusters using Kubernetes Engine Understand Anthos GKE hybrid environments, with Admin and User clusters Register and authenticate remote Anthos GKE clusters in GKE Hub View and manage registered clusters, in cloud and on-premises, using GKE Hub View workloads in all clusters from GKE Hub Lab: Managing Hybrid Clusters using Kubernetes Engine Introduction to Service Mesh Understand service mesh, and problems it solves Understand Istio architecture and components Explain Istio on GKE add on and it's lifecycle, vs OSS Istio Understand request network traffic flow in a service mesh Create a GKE cluster, with a service mesh Configure a multi-service application with service mesh Enable external access using an ingress gateway Explain the multi-service example applications: Hipster Shop, and Bookinfo Lab: Installing Open Source Istio on Kubernetes Engine Lab: Installing the Istio on GKE Add-On with Kubernetes Engine Observing Services using Service Mesh Adapters Understand service mesh flexible adapter model Understand service mesh telemetry processing Explain Stackdriver configurations for logging and monitoring Compare telemetry defaults for cloud and on-premises environments Configure and view custom metrics using service mesh View cluster and service metrics with pre-configured dashboards Trace microservice calls with timing data using service mesh adapters Visualize and discover service attributes with service mesh Lab: Telemetry and Observability with Istio Managing Traffic Routing with Service Mesh Understand the service mesh abstract model for traffic management Understand service mesh service discovery and load balancing Review and compare traffic management use cases and configurations Understand ingress configuration using service mesh Visualize traffic routing with live generated requests Configure a service mesh gateway to allow access to services from outside the mesh Apply virtual services and destination rules for version-specific routing Route traffic based on application-layer configuration Shift traffic from one service version to another, with fine-grained control, like a canary deployment Lab: Managing Traffic Routing with Istio and Envoy Managing Policies and Security with Service Mesh Understand authentication and authorization in service mesh Explain mTLS flow for service to service communication Adopt mutual TLS authentication across the service mesh incrementally Enable end-user authentication for the frontend service Use service mesh access control policies to secure access to the frontend service Lab: Managing Policies and Security with Service Mesh Managing Policies using Anthos Config Management Understand the challenge of managing resources across multiple clusters Understand how a Git repository is as a configuration source of truth Explain the Anthos Config Management components, and object lifecycle Install and configure Anthos Config Management, operators, tools, and related Git repository Verify cluster configuration compliance and drift management Update workload configuration using repo changes Lab: Managing Policies in Kubernetes Engine using Anthos Config Configuring Anthos GKE for Multi-Cluster Operation Understand how multiple clusters work together using DNS, root CA, and service discovery Explain service mesh control-plane architectures for multi-cluster Configure a multi-service application using service mesh across multiple clusters with multiple control-planes Configure a multi-service application using service mesh across multiple clusters with a shared control-plane Configure service naming/discovery between clusters Review ServiceEntries for cross-cluster service discovery Migrate workload from a remote cluster to an Anthos GKE cluster Lab: Configuring GKE for Multi-Cluster Operation with Istio Lab: Configuring GKE for Shared Control Plane Multi-Cluster Operation

Duration 5 Days 30 CPD hours This course is intended for Audience for this course This course is designed for system administrators responsible for creating OpenShift Enterprise instances, deploying applications, creating process customizations, managing instances and projects. Prerequisites for this course Have taken Red Hat Enterprise Linux Administration I and II (RH124 and RH134), or equivalent Red Hat Enterprise Linux© system administration experience Be certified as a Red Hat Certified System Administrator (RHCSA), or equivalent Red Hat Enterprise Linux system administration experience Be certified as a Red Hat Certified Engineer (RHCE©) Overview Learn to install, configure, and manage OpenShift Enterprise by Red Hat instances - OpenShift Enterprise Administration (DO280) prepares the system administrator to install, configure, and manage OpenShift Enterprise by Red Hat© instances. OpenShift Enterprise, Red Hat's platform-as-a-service (PaaS) offering, provides pre-defined deployment environments for applications of all types through its use of container technology. This creates an environment that supports DevOps principles such as reduced time to market and continuous delivery. - In this course, students will learn how to install and configure an instance of OpenShift Enterprise, test the instance by deploying a real world application, and manage projects/applications through hands-on labs. - Course content summary - Container concepts - Configuring resources with the command line interface - Building a pod - Enabling services for a pod - Creating routes - Downloading and configuring images - Rolling back and activating deployments - Creating custom S2I images This course will empower you to install and administer the Red Hat© OpenShift© Container Platform, with hands-on, lab-based materials that show you how to install, configure, and manage OpenShift clusters and deploy sample applications to further understand how developers will use the platform. This course is based on Red Hat© Enterprise Linux© 7.5 and Openshift Container Platform 3.9. OpenShift is a containerized application platform that allows your enterprise to manage container deployments and scale your applications using Kubernetes. OpenShift provides predefined application environments and builds upon Kubernetes to provide support for DevOps principles such as reduced time to market, infrastructure-as-code, continuous integration (CI), and continuous delivery (CD). 1 - INTRODUCTION TO RED HAT OPENSHIFT ENTERPRISE Review features and architecture of OpenShift Enterprise. 2 - INSTALL OPENSHIFT ENTERPRISE Install OpenShift Enterprise and configure a master and node. 3 - EXECUTE COMMANDS Execute commands using the command line interface. 4 - BUILD APPLICATIONS Create, build, and deploy applications to an OpenShift Enterprise instance. 5 - PERSISTENT STORAGE Provision persistent storage and use it for the internal registry. 6 - BUILD APPLICATIONS WITH SOURCE-TO-IMAGE (S2I) Create and build applications with S2I and templates. 7 - MANAGE THE SYSTEM Use OpenShift Enterprise components to manage deployed applications. 8 - CUSTOMIZE OPENSHIFT ENTERPRISE Customize resources and processes used by OpenShift Enterprise. 9 - COMPREHENSIVE REVIEW Practice and demonstrate knowledge and skills learned in the course. 10 - NOTE: Course outline is subject to change with technology advances and as the nature of the underlying job evolves. For questions or confirmation on a specific objective or topic, please contact us. Additional course details: Nexus Humans Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Red Hat OpenShift Administration II: Operating a Production Kubernetes Cluster (DO280) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Cluster administrators (Junior systems administrators, junior cloud administrators) interested in deploying additional clusters to meet increasing demands from their organizations. Cluster engineers (Senior systems administrators, senior cloud administrators, cloud engineers) interested in the planning and design of OpenShift clusters to meet performance and reliability of different workloads and in creating work books for these installations. Site reliability engineers (SREs) interested in deploying test bed clusters to validate new settings, updates, customizations, operational procedures, and responses to incidents. Overview Validate infrastructure prerequisites for an OpenShift cluster. Run the OpenShift installer with custom settings. Describe and monitor each stage of the OpenShift installation process. Collect troubleshooting information during an ongoing installation, or after a failed installation. Complete the configuration of cluster services in a newly installed cluster. Installing OpenShift on a cloud, virtual, or physical infrastructure. Red Hat OpenShift Installation Lab (DO322) teaches essential skills for installing an OpenShift cluster in a range of environments, from proof of concept to production, and how to identify customizations that may be required because of the underlying cloud, virtual, or physical infrastructure. This course is based on Red Hat OpenShift Container Platform 4.6. 1 - Introduction to container technology Describe how software can run in containers orchestrated by Red Hat OpenShift Container Platform. 2 - Create containerized services Provision a server using container technology. 3 - Manage containers Manipulate prebuilt container images to create and manage containerized services. 4 - Manage container images Manage the life cycle of a container image from creation to deletion. 5 - Create custom container images Design and code a Dockerfile to build a custom container image. 6 - Deploy containerized applications on OpenShift Deploy single container applications on OpenShift Container Platform. 7 - Troubleshoot containerized applications Troubleshoot a containerized application deployed on OpenShift. 8 - Deploy and manage applications on an OpenShift cluster Use various application packaging methods to deploy applications to an OpenShift cluster, then manage their resources. 9 - Design containerized applications for OpenShift Select a containerization method for an application and create a container to run on an OpenShift cluster. 10 - Publish enterprise container images Create an enterprise registry and publish container images to it. 11 - Build applications Describe the OpenShift build process, then trigger and manage builds. 12 - Customize source-to-image (S2I) builds Customize an existing S2I base image and create a new one. 13 - Create applications from OpenShift templates Describe the elements of a template and create a multicontainer application template. 14 - Manage application deployments Monitor application health and implement various deployment methods for cloud-native applications. 15 - Perform comprehensive review Create and deploy cloudinative applications on OpenShift.

Duration 2 Days 12 CPD hours This course is intended for This class is intended for network engineers and network admins that are either using Google Cloud Platform or are planning to do so. The class is also for individuals that want to be exposed to software-defined networking solutions in the cloud. Overview Configure Google VPC networks, subnets, and routers Control administrative access to VPC objects Control network access to endpoints in VPCsInterconnect networks among GCP projects Interconnect networks among GCP VPC networks and on-premises or other-cloud networks Choose among GCP load balancer and proxy options and configure them Use Cloud CDN to reduce latency and save money Optimize network spend using Network TiersConfigure Cloud NAT or Private Google Access to provide instances without public IP addresses access to other services Deploy networks declaratively using Cloud Deployment Manager or Terraform Design networks to meet common customer requirements Configure monitoring and logging to troubleshoot networks problems Learn about the broad variety of networking options on Google Cloud. This course uses lectures, demos, and hands-on labs to help you explore and deploy Google Cloud networking technologies, including Virtual Private Cloud (VPC) networks, subnets, and firewalls; interconnection among networks; load balancing; Cloud DNS; Cloud CDN; and Cloud NAT. You'll also learn about common network design patterns and automated deployment using Cloud Deployment Manager or Terraform. Google Cloud VPC Networking Fundamentals Recall that networks belong to projects. Explain the differences among default, auto, and custom networks. Create networks and subnets. Explain how IPv4 addresses are assigned to Compute Engine instances. Publish domain names using Google Cloud DNS. Create Compute Engine instances with IP aliases. Create Compute Engine instances with multiple virtual network. Controlling Access to VPC Networks Outline how IAM policies affect VPC networks. Control access to network resources using service accounts. Control access to Compute Engine instances with tag-based firewall rules. Sharing Networks across Projects Outline the overall workflow for configuring Shared VPC. Differentiate between the IAM roles that allow network resources to be managed. Configure peering between unrelated VPC Networks. Recall when to use Shared VPC and when to use VPC Network Peering. Load Balancing Recall the various load balancing services. Configure Layer 7 HTTP(S) load balancing. Whitelist and blacklist IP traffic with Cloud Armor. Cache content with Cloud CDN. Explain Layer 4 TCP or SSL proxy load balancing. Explain regional network load balancing. Configure internal load balancing. Recall the choices for enabling IPv6 Internet connectivity for Google Cloud load balancers. Determine which Google Cloud load balancer to use when. Hybrid Connectivity Recall the Google Cloud interconnect and peering services available to connect your infrastructure to Google Cloud. Explain Dedicated Interconnect and Partner Interconnect. Describe the workflow for configuring a Dedicated Interconnect. Build a connection over a VPN with Cloud Router. Determine which Google Cloud interconnect service to use when. Explain Direct Peering and Partner Peering. Determine which Google Cloud peering service to use when. Networking Pricing and Billing Recognize how networking features are charged for. Use Network Service Tiers to optimize spend. Determine which Network Service Tier to use when. Recall that labels can be used to understand networking spend. Network Design and Deployment Explain common network design patterns. Configure Private Google Access to allow access to certain Google Cloud services from VM instances with only internal IP addresses. Configure Cloud NAT to provide your instances without public IP addresses access to the internet. Automate the deployment of networks using Deployment Manager or Terraform. Launch networking solutions using Cloud Marketplace. Network Monitoring and Troubleshooting Configure uptime checks, alerting policies and charts for your network services. Use VPC Flow Logs to log and analyze network traffic behavior.

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level class for intermediate skilled team members. Students should have prior software development experience or exposure, have some basic familiarity with containers, and should also be able to navigate the command line. Overview This course is approximately 50% hands-on, combining expert lecture, real-world demonstrations and group discussions with machine-based practical labs and exercises. Our engaging instructors and mentors are highly experienced practitioners who bring years of current 'on-the-job' experience into every classroom. Working in a hands-on learning environment led by our expert facilitator, students will explore: What a Kubernetes cluster is, and how to deploy and manage them on-premises and in the cloud. How Kubernetes fits into the cloud-native ecosystem, and how it interfaces with other important technologies such as Docker. The major Kubernetes components that let us deploy and manage applications in a modern cloud-native fashion. How to define and manage applications with declarative manifest files that should be version-controlled and treated like code. Containerization has taken the IT world by storm in the last few years. Large software houses, starting from Google and Amazon, are running significant portions of their production load in containers. Kubernetes is an open-source system for automating deployment, scaling, and management of containerized applications. This is a hands-on workshop style course that teaches core features and functionality of Kubernetes. You will leave this course knowing how to build a Kubernetes cluster, and how to deploy and manage applications on that cluster. Getting Started Our sample application Kubernetes concepts Declarative vs imperative Kubernetes network model First contact with kubectl Setting up Kubernetes Working with Containers Running our first containers on Kubernetes Exposing containers Shipping images with a registry Running our application on Kubernetes Exploring the Kubernetes Dashboard The Kubernetes dashboard Security implications of kubectl apply Scaling a deployment Daemon sets Labels and selectors Rolling updates Next Steps Accessing logs from the CLI Managing stacks with Helm Namespaces Next steps

Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents, and interests with our special Azure Machine Learning Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides the professional training employers seek in today's workplaces. The Azure Machine Learning Course is one of the most prestigious training offered at Skillwise and is highly valued by employers for good reason. This Azure Machine Learning Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Azure Machine Learning Course, like every one of Skillwise's courses, is meticulously developed and well-researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At Skillwise, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from Skillwise, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Azure Machine Learning? Lifetime access to the course forever Digital Certificate, Transcript, and student ID are all included in the price Absolutely no hidden fees Directly receive CPD Quality Standards accredited qualifications after course completion Receive one-to-one assistance every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Azure Machine Learning there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for free. Original Hard Copy certificates need to be ordered at an additional cost of £8. Who is this course for? This Azure Machine Learning course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skills. Prerequisites This Azure Machine Learning does not require you to have any prior qualifications or experience. You can just enroll and start learning. This Azure Machine Learning was made by professionals and it is compatible with all PCs, Macs, tablets, and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as a bonus, you will be able to pursue multiple occupations. This Azure Machine Learning is a great way for you to gain multiple skills from the comfort of your home. Azure Machine Learning Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration 00:22:00 Module 02: Various Modules in Machine Learning 00:13:00 Module 03: Prediction of Income (Automated Tutorial) 00:33:00 Module 04: Prediction of Automobile Price using Linear Regression Algorithm 00:59:00 Module 05: Dataset Processing and Analysis (Sample-1) 00:57:00 Module 06: Cross Validation for Regression (Sample-2) 00:28:00 Module 07: Clustering Group Iris data (Sample-3) 00:17:00 Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio 00:18:00 Assignment Assignment - Azure Machine Learning 06:06:00 Order Your Certificate Order Your Certificate QLS