1636 Architecture courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators and network administrators Network and security professionals who work with enterprise and data center networks Overview By the end of the course, you should be able to meet the following objectives: Contrast NSX-T Data Center and NSX Data Center for vSphere architectures Understand the networking and security features of NSX-T Data Center Compare end-to-end and lift-and-shift migration approaches Identify common fixed network topologies supported in end-to-end migrations Perform end-to-end migrations for fixed and user-defined topologies Describe other migration modes supported by the migration coordinator Describe lift-and-shift migration techniques Troubleshoot common problems with end-to-end and lift-and-shift migrations Describe the steps to perform a cross-vCenter NSX to NSX Federation migration This three-day, hands-on training course provides you with the skills, techniques, and tools required to successfully migrate your current VMware NSX© Data Center for vSphere© environment to VMware NSX-T? Data Center. You will learn to choose between different migration approaches and how to perform the type of migration that best suits your current environment. In addition, you are presented with common migration problems and resolutions. Course Introduction Introduction and course logistics Course objectives Introduction to NSX-T Data Center Describe the motivation for migrating to NSX-T Data Center Contrast NSX-T Data Center and NSX Data Center for vSphere architectures Describe the logical switching components in NSX-T Data Center Describe the components and functions of NSX-T Data Center logical routing Describe the security features of NSX-T Data Center Explain the implementation of networking services in NSX-T Data Center Migration Approaches Describe the end-to-end migration approach Describe the lift-and-shift migration approach Compare the migration approaches Determine the best migration strategy based on customer requirements Fixed Topologies for Migration Identify the NSX Data Center for vSphere fixed network topologies that can be migrated to NSX-T Data Center without a user-defined topology Explain how network and security objects from the fixed topologies are translated from NSX Data Centerfor vSphere to NSX-T Data Center End-to-End Migration Describe the prerequisites for end-to-end migration Prepare the NSX Data Center for vSphere environment for migration Prepare the NSX-T Data Center environment for migration Migrate the NSX Data Center for vSphere environment with the migration coordinator using a fixed topology Migrate the NSX Data Center for vSphere environment with the migration coordinator using a user-defined topology Perform postmigration tasks Other Migration Modes Describe the steps to migrate NSX Data Center for vSphere when integrated with VMware vRealize Automation Describe the Edge Cutover migration mode Describe the Distributed Firewall migration mode Describe the Distributed Firewall, Host, and Workload migration mode Describe the vSphere Networking migration feature Lift-and-Shift Migration Describe the prerequisites for lift-and-shift migrations Configure L2 bridging in preparation for lift-and-shift migrations Migrate the network and security configuration Migrate workloads Describe the DFW-only migration mode Troubleshooting Migrations Troubleshoot migration problems Identify the log files used in troubleshooting Identify and resolve common issues related to migrations. Cross-vCenter NSX to NSX Federation Migration Contrast cross-vCenter NSX and NSX Federation architectures Describe the steps for a multisite migration Demonstrate how to perform a cross-vCenter NSX to NSX Federation migration Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Migration from VMware NSX for vSphere to NSX-T 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 VMware Migration from VMware NSX for vSphere to NSX-T 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 5 Days 30 CPD hours This course is intended for Operational Technology (OT) Engineers IT engineers Generalists, including managers, project leads, and solutions and business architects Overview Define what IIoT is and identify IIoT architectures. Identify IIoT market verticals, and their motivations and requirements. Explore Cisco IIoT networking devices, how they are different from other devices, and use common administrative tools for managing them. Explore industrial communications protocols for control and automation, and how they have been adapted to run on top of a TCP/IP network infrastructure. Describe wireless protocols used in IIoT environments, including architectures and devices used. Understand the TCP/IP protocol stack and how it is used with other protocols in IIoT environments. Discuss network protocols for clock synchronization between network devices, and describe available tools for IIoT network administration. Discuss wireless technologies used in a core LAN, and their relevance to IIoT implementations. Explore field WAN technologies and how they are used in IIoT environments. Explore legacy protocols and explain the methods available to transport non-routable protocols over modern networks. Explain fundamental concepts of Quality of Service (QoS) related to IIoT network environments. Discuss Multiprotocol Label Switching (MPLS) operation, components, terminology, and features, and explore its use in IIoT environments. Explore Layer 2 and Layer 3 VPN technologies and describe the way they can be used on IIoT deployments. Describe Dense Wave Division Multiplexing (DWDM) technology and its use in IIoT environments. Explore Layer 1 and Layer 2 high availability technologies and redundancy mechanisms. Describe Layer 3 high availability and the need for Layer 3 redundancy in IIoT deployments The Understanding Cisco Industrial IoT Networking Foundation (INFND) v1.0 course gives you an overview of the protocols, applications, and network infrastructure you need to support and manage Industrial Internet of Things (IIoT) solutions. You will learn about IIoT industry verticals and how different protocols are used within them. The course also covers configuring and verifying the protocols on Cisco© IIoT networking devices. Course Introduction.Defining Industrial Internet of ThingsExamining Common IIoT Verticals.Examining Cisco IIoT Networking Devices.Examining and Configuring Industrial Communication Protocols.Describing Wireless IIoT Protocols.Explaining and Configuring TCP/IP Protocols, Addressing, and Segmentation.Examining Network Services and Administration.Examining and Configuring Wireless Core LAN Technologies.Describing Field WAN Technologies.Examining and Configuring Transportation of Legacy Protocols.Describing, Configuring, and Verifying Quality of Service (QoS) for IIoT Protocols.Examining and Verifying MPLS and IIoT.Configuring and Explaining VPN Technology and IIoT.Describing DWDM.Configuring and Defining Layer 1 and Layer 2 High Availability Technologies.Defining and Configuring Layer 3 High Availability TechnologiesLab outline Connect to the Cisco IIoT Devices. Use Industrial Protocols with Cisco Industrial Ethernet Switches. Configure an 802.11 Client. Configure an IPv6 Address. Configure Layer 2 Network Address Translation (NAT) and IP Addressing in an Example IoT Deployment.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brandnew version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative dversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

Duration 3 Days 18 CPD hours This course is intended for This is an introductory-level XML training course, designed for those needing an introduction to concepts and technologies associated with XML and its related recommendations. Previous experience or knowledge of HTML is helpful but not essential. Overview This course is an intensive, hands-on introduction to XML, XPath, and XSLT. The course is a balanced mixture of theory and practical labs designed to take students from the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with the fundamentals of XML, including coverage of DTDs and XML Schema. It then moves on to the XPath and XSLT standards, and how to use them to transform XML documents into other documents such as HTML documents or other XML documents. This course provides indoctrination in the practical use of W3C standards (including XSL and XML Schema) and of implementing tools and technologies. This course is programming language independent, making it useful for Java, .NET, C++, and any other programming orientation. Graduates will hit the ground running, applying XML to projects at both an architectural as well as a line by line coding level. We can easily adapt this course to industry and client specific needs.In addition to valuable knowledge and working examples, students receive a copy of the 'Xtensil' product. This unique software was developed to assist in implementing, testing, and fielding XML applications. Xtensil is used as both a teaching aid and a straightforward, basic, fully functional XML toolkit that students can use on Windows and Linux platforms. Working in a hands-on learning environment student will learn to: Write well-formed XML documents Model business requirements using XML Handle XML reserved characters Validate an XML document with a DTD and with a Schema Centralize data and markup definition with entities Create DTDs and Schemas using XML tools Generate XML documents from databases Write XSL templates to transform XML documents into HTML Integrate XML, XSL and the DOM to implement a complete solution The Extensible Markup Language (XML) is a standard that is enabling a revolution in web applications and business to business interactions. XML is the basis for Wireless Markup Language (WML), Voice Markup Language (VoiceML), Simple Object Access Protocol (SOAP), Web Services, and numerous industry initiatives such as ACORD (insurance), PXML (proposal/RFP) and OTA (travel). Introduction to XML is a three-day, hands-on course geared for software developers who need to understand what XML is and how to use in with today's systems and architectures. This course covers the topics from tags to architectures. The course is a balanced mixture of theory and practical labs designed to take students from a quick review of the basic fundamentals of XML through to the related advanced technologies. The students walk through the different standards in a structured manner to enable them to master the concepts and ideas, which are reinforced in the lab exercises. The course starts with a quick review of the fundamentals of XML before covering XML Schema in detail. It then moves on to the XPath and XSLT covering advanced topics in both. Finally, XML and Web Services security mechanisms and issues are addressed. XML Content Introduction to XML XML Mechanics XML Structure Namespaces Structure Using Schemas XML Formatting CSS and Rendering XML XSL Transformations XSLT and XPath XPath 2.0 and XSLT 2.0 Overview XSL FO (Formatting Objects) Applying XML XML Interoperability XML Performance Improvements Web Services Overview XML Applications Additional course details: Nexus Humans Introduction to XML (TT4300) 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 Introduction to XML (TT4300) 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 2 Days 12 CPD hours This course is intended for This course is designed for students with previous Citrix ADC experience, and best suited for individuals who will be deploying Citrix Application Delivery Management to administer a Citrix Networking environment or optimize Citrix ADC-managed application delivery traffic. Overview Manage multiple Citrix ADC platforms centrallyOrchestrate configuration changesReport on transactions passing through the Citrix ADC environmentVisualize infrastructure and plan expansion Master the deployment and usage of Citrix Application Delivery Management with this two-day management and optimization course. Students will gain the skills needed to automate and manage network services for scale out of application architectures, and to optimize Citrix ADC-managed application delivery traffic. The curriculum focuses on centrally managing multiple Citrix ADC platforms, orchestrating configuration changes, reporting on transactions, visualizing infrastructure and planning infrastructure expansion. Students will also learn how to implement Citrix ADC features, including caching, frontend optimization, Citrix ADC web logging and TCP/HTTP optimization, to optimize traffic managed by your Citrix networking environment. Citrix Application Delivery Management Introduction An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing and Monitoring Application Delivery Management An introduction to Application Delivery Management Application Delivery Management Deployment and Configuration Deploying Application Delivery Management in High Availability Application Delivery Management Instance Management Managing Citrix ADC Configuration Application Management StyleBooks Configuration Management Citrix ADC Web Logging Understanding Web Traffic Installing and configuring Citrix ADC Web Logging Troubleshooting Citrix ADC Web Logging Citrix ADC Integrated Caching Introduction to Integrated Caching Static and Dynamic Content Request and Response Process Flow Understanding Cache Policies Identifying Content Group Settings Front-End Optimization Improving Content Delivery Front-End Optimization Use Cases Understanding Minification CSS Optimizations Tuning and Optimizations Connections on the Citrix ADC Connection Profiles Queuing on the Citrix ADC Connection Tuning Practices

Duration 2 Days 12 CPD hours This course is intended for SAP professionals Overview Explain the motivation and need for a next generation business suite and how SAP S/4HANA enables a digital organizationDescribe the SAP S/4HANA business and technical architectureGain basic knowledge about SAP Activate to accelerate SAP S/4HANA adoptionExplain how SAP S/4HANA supports the business users with a new user experience (e.g.: SAP Fiori UX)Describe key business processes of SAP S/4HANA Enterprise ManagementExplain SAP S/4HANA embedded analytics capabilitiesGain basic knowledge about SAP S/4HANA LoB solutions and add-on supportDescribe integration scenarios between SAP S/4HANA and SAP Cloud solutions In this course, students learn a broad range of topics including the motivation behind the development of SAP S/4HANA. Course Outline Introduction to SAP S/4HANA SAP S/4HANA user experience SAP HANA powers SAP S/4HANA SAP Activate for SAP S/4HANA SAP S/4HANA Enterprise Management, LoB solutions and add-ons SAP S/4HANA embedded analytics Integration between SAP S/4HANA Core and SAP Cloud solutions Additional course details: Nexus Humans S4H01 SAP Business Suite to SAP S/4HANA Delta 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 S4H01 SAP Business Suite to SAP S/4HANA Delta 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 Database Administrator Enterprise Architect System Administrator System Architect Technology Consultant Overview This course will prepare you to: Understand the concepts of SAP BTP Understand the tasks of an SAP BTP administrator Administrate accounts, services, and users in SAP BTP Manage connections, databases, and monitoring in SAP BTP This course will prepare you to:Understand the concepts of SAP BTPUnderstand the tasks of an SAP BTP administratorAdministrate accounts, services, and users in SAP BTPManage connections, databases, and monitoring in SAP BTP SAP Strategy RISE with SAP and Intelligent, Sustainable Enterprise SAP BTP Use Cases Architectures Account Model and Services ABAP, Cloud Foundry, and Kyma Runtime Environments Cloud Development Concept Configuration Discovery Center and Boosters Command Line Interface Connectivity Destinations Cloud Connector User Management Account User Management SAP Cloud Identity Services Database Offerings SAP HANA Cloud Application Lifecycle Management Product Portfolio Monitoring SAP Application Logging Service SAP Cloud ALM Interface Channel SAP Cloud Transport Management Service SAP Cloud Transport Management Service Additional course details: Nexus Humans Introduction to SAP Business Technology Platform (BTP) Administration 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 Introduction to SAP Business Technology Platform (BTP) Administration 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 5 Days 30 CPD hours This course is intended for Channel Field Engineers Employees Overview After taking this course, you should be able to: Define Cisco Business TelePresence Solutions components and architectures Implement Cisco TelePresence Video Communication Server (Expressway) for basic and advanced video networks Implement Cisco TelePresence Management Suite (TMS) Configure Cisco Meeting Server Features Define integration of Cisco Collaboration Premise Solutions with Cisco Cloud, including Cisco Spark, Cisco Spark Hybrid, and WebEx Cisco Video Infrastructure Implementation (VII) v1.0 will provide you with the necessary knowledge and skills to implement a complete Cisco TelePresence solution, including TelePresence endpoints, integration of premise with cloud solutions, meeting solutions, and management software. It describes Cisco business TelePresence solutions and enables students to implement and troubleshoot basic and advanced TelePresence network solutions. Module 1: Advanced Cisco Expressway Features Lesson 1: Introducing Cisco Video Network Solutions Lesson 2: Exploring Cisco Expressway Basic Setup Lesson 3: Explaining Regular Expressions in a Cisco Expressway Environment Lesson 4: Deploying Components of Cisco Expressway Security Lesson 5: Exploring the Fundamentals of Subzones on a Cisco Expressway Lesson 6: Administering Call Control on a Cisco Expressway Lesson 7: Implementing Subzone Bandwidth Management on a Cisco Expressway Lesson 8: Implementing Zones on a Cisco Expressway Lesson 9: Exploring Clustering on the Cisco Expressway Lesson 10: Applying Troubleshooting on the Cisco Expressway Module 2: Advanced Cisco Meeting Server Features Lesson 1: Introducing the Cisco Meeting Server Lesson 2: Exploring Cisco Meeting Server API Configuration Lesson 3: Exploring Cisco Meeting Server Resilient and Scalable Deployments Lesson 4: Exploring Additional Features with Cisco Meeting Server Module 3: Cisco Collaboration Meetin gRoom Solutions wiht Cisco TelePresence Server Lesson 1: Introducing Cisco Collaboration Meeting Room Cloud, Premises, and Hybrid Products Lesson 2: Deploying the Cisco TelePresence Server and Cisco TelePresence Conductor Lesson 3: Applying Troubleshooting to Cisco CMR Premises Solutions Module 4: Cisco TelePresence Management Suite Solution Lesson 1: Explaining Cisco TMS Installation Lesson 2: Describing Cisco TMS Operation Lesson 3: Explaining Cisco TMS Conference Scheduling and Management Lesson 4: Configuring Permissions on Cisco TMS for Administration Lesson 5: Applying Troubleshooting to Cisco TMS Module 5: Cisco Cloud Solutions?WebEx and Spark Lesson 1: Introducing Cisco WebEx and Cisco Spark Cloud Solutions Lesson 2: Exploring Cisco Spark Administration Configuration Lesson 3: Deploying Cisco Spark Hybrid Services Lesson 4: Exploring Cisco Spark APIs and BOTs Configuration Module 6: Cisco TelePresence Content Server (Optional Module) Lesson 1: Examining Cisco TCS Operation and Configuration

Duration 4 Days 24 CPD hours This course is intended for This course is for personnel who are assessing and planning to deploy a storage area network. Overview Summarize the storage infrastructure challenges and the various storage architectures such as DAS, SAN and NASClassify SAN terminology including trunking, zoning, multipathing and fabric mergingRecognize b-type Data Center Management tools such as Data Center Fabric Manager and Network Advisor (NA)Classify the various tabs in the Network Advisor ToolRecall the Cisco MDS management toolsRecognize the importance of Converged Enhanced EthernetCompare the features of iSCSI and FCoE This course provides an overview of storage network and data center networking technology. Day 1 Welcome Unit 1 - Evolution of storage area networks Unit 2 - Fibre Channel Day 2 Unit 3 - Fibre Channel switches and directors: Brocade (b-type) Unit 4 - Brocade DCFM and Network Advisor Day 3 Exercise 0 - Lab setup and preliminary instructions Exercise 1 - Brocade switch 2109: Initial configuration Exercise 2 - Management software installation Exercise 3 - Brocade Fabric Manager Exercise 4 - Brocade switch: Zoning configuration Exercise 5 - V3700 storage provisioning using iSCSI Exercise 6 - Brocade VDX fabric merging Unit 5 - Fibre Channel switches and directors: Cisco MDS Day 4 Unit 6 - Converged Enhanced Ethernet Unit 7 - Fibre Channel over Ethernet Unit 8 - iSCSI Exercise 7 - Basic configuration Exercise 8 - Management tools installation Exercise 9 - VSAN creation Exercise 10 - Zoning configuration on Cisco Exercise 11 - Configuring the DS3500 storage subsystem Additional course details: Nexus Humans SN71 IBM Storage Area Networking Fundamentals 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 SN71 IBM Storage Area Networking Fundamentals 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.