375 Trainers Course courses delivered Live Online

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 5 Days 30 CPD hours This course is intended for This advanced course is for anyone responsible for implementing and managing virtualization features on a System p server including: AIX technical support individuals System administrators Systems engineers System Architects Overview Upon successful completion of this course, students will be able to: Describe the effect of the IBM PowerVM virtualization features on performance and monitoring, such as: Simultaneous multithreading (SMT), shared processors, multiple shared processor pools (MSPP), shared dedicated capacity, Active Memory Sharing (AMS), Active Memory Expansion (AME), Live Partition Mobility (LPM), and other virtualization features Interpret the outputs of AIX performance monitoring and tuning tools used to view the impact of features such as SMT, shared processors, additional shared processor pool activations, and device virtualization. Perform a Live Partition Mobility between two Power Systems servers Configure and monitor Active Memory Expansion Configure the Suspend and Resume and Active Memory Sharing features available with the Virtual I/O Server Implement the deduplication feature of Active Memory Sharing Students will learn how to implement advanced IBM PowerVM features, such as Active Memory Sharing, Active Memory Expansion, shared dedicated processors, multiple shared processor pools, and Live Partition Mobility. Students will learn how to implement advanced IBM PowerVM features, such as Active Memory Sharing, Active Memory Expansion, shared dedicated processors, multiple shared processor pools, and Live Partition Mobility. Additional course details: Nexus Humans AN31 IBM Power Systems for AIX - Virtualization II - Advanced PowerVM and Performance 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 AN31 IBM Power Systems for AIX - Virtualization II - Advanced PowerVM and Performance 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 assumes that you have successfully completed the Administering BIG-IP course, or equivalent, and have hands-on experience working in a production BIG-IP environment for several months. You should have a solid understanding of the environment in which the BIG-IP is deployed. This course is meant for BIG-IP administrators, network engineers, applications engineers, etc., who will be responsible for troubleshooting problems associated with their BIG-IP system. This course gives networking professionals hands-on knowledge of how to troubleshoot a BIG-IP system using a number of troubleshooting techniques as well as troubleshooting and system tools. This course includes lectures, labs, and discussions. Module 1: Setting Up the BIG-IP System Introducing the BIG-IP System Initially Setting Up the BIG-IP System Archiving the BIG-IP System Configuration Module 2: Reviewing Local Traffic Configuration Reviewing Nodes, Pools, and Virtual Servers Reviewing Address Translation Reviewing Routing Assumptions Reviewing Application Health Monitoring Reviewing Traffic Behavior Modification with Profiles Reviewing the TMOS Shell (TMSH) Reviewing Managing BIG-IP Configuration Data Reviewing High Availability (HA) Module 3: Troubleshooting Methodology Step-By-Step Process Step 1: State the Problem Step 2: Specify the Problem Step 3: Map the System Step 4: Develop Possible Causes Step 5: Test Theories Step 6: Iterate Until Root Cause Identified Documenting a Problem Putting Troubleshooting Steps to Use Module 4: Working with F5 Support Leveraging F5 Support Resources AskF5.com DevCentral iHealth Leveraging F5 Labs Working with F5 Technical Support Running End User Diagnostics (EUD) - Hardware Only New Platform Diagnostic Tools Always-On Management (AOM) Subsystem Requesting Return Materials Authorization F5?s Software Version Policy Managing the BIG-IP License for Upgrades Managing BIG-IP Disk Space Upgrading BIG-IP Software Module 5: Troubleshooting ? Bottom to Top Introducing Differences between BIG-IP and LINUX Tools Troubleshooting with Layer 1/Layer 2 Tools Troubleshooting with Layer 2/Layer 3 Tools Troubleshooting with Layer 3 Tools Troubleshooting with LINUX Tools Troubleshooting Memory and CPU Troubleshooting with watch Troubleshooting with Additional tmsh commands Module 6: Troubleshooting Tools tcpdump Wireshark ssldump Fiddler diff KDiff3 cURL Module 7: Using System Logs Configuring Logging Log Files Understanding BIG-IP Daemons Functions Triggering an iRule Deploying and Testing iRules Application Visibility and Reporting Module 8: Troubleshooting Lab Projects Network Configurations for Project Additional course details: Nexus Humans F5 Networks Troubleshooting BIG-IP 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 F5 Networks Troubleshooting BIG-IP 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 System administrators System integrators Overview By the end of the course, you should be able to meet the following objectives: Discuss Horizon Connection Server advanced configurations List troubleshooting techniques for Horizon Connection Server common issues Interpret Horizon 8 Connection Server logs Identify Unified Access Gateway configuration and certificate issues List troubleshooting steps for Unified Access Gateway common issues Describe BLAST configuration verification using logs and settings Describe BLAST optimization recommendations for different use cases Describe Horizon 8 Connections and how to troubleshoot related issues Describe Horizon 8 certificates List troubleshooting steps for common issues with Horizon 8 certificates Leverage Horizon infrastructure troubleshooting steps to resolve issues This three-day, hands-on training provides you with the advanced knowledge, skills, and abilities to troubleshoot VMware Horizon© 8 infrastructure. This workshop teaches the required skill and competence for troubleshooting VMware Horizon© Connection Server?, VMware Unified Access Gateway?, protocols, connections, and certificates Course Introduction Introduction and course logistics Course objectives Horizon Connection Server Troubleshooting Discuss Horizon Connection Server general troubleshooting techniques Identity Horizon Connection Server common issues through logs Describe AD LDS replication Discuss Horizon Connection Server replication common issues Review and Interpret Horizon Connection Server logs Compare successful and unsuccessful logs from everyday infrastructure administration tasks Unified Access Gateway Troubleshooting List and identify common Unified Access Gateway deployment issues Monitor the Unified Access Gateway deployment to identify health and issues Identify and troubleshoot Unified Access Gateway certificate issues Monitor, test, and troubleshoot network problems Discuss general Unified Access Gateway troubleshooting processes BLAST Configuration Verification Discuss BLAST Codecs and Encoder Switch settings. Describe how to verify BLAST configuration using logs and settings BLAST Optimization List general BLAST optimization recommendations Summarize BLAST tuning recommendations that apply to WAN connections Summarize BLAST tuning recommendations that apply to work-from-home and home-office-to-cloud use cases Describe recommended tuning options to increase display protocol quality for all use cases and applications. VMware Horizon Connections Troubleshooting Explain Horizon connections Describe the role of Primary and Secondary protocols in Horizon connections Describe HTML client access connections Describe Horizon connections load balancing Describe timeout settings, supported health monitoring string, and suitable load balancer persistence values Identify troubleshooting steps for failing Horizon load balancer connections List troubleshooting steps for Horizon connections VMware Horizon Certificates Troubleshooting List Horizon certificate functions Describe Horizon certificates scenarios. Discuss potential challenges related to certificates in Horizon Describe the troubleshooting approach to Horizon certificate issues VMware Horizon Challenge Lab Leverage Horizon infrastructure troubleshooting steps to resolve issue Additional course details:Notes Delivery by TDSynex, Exit Certified and New Horizons an VMware Authorised Training Centre (VATC) Nexus Humans VMware Horizon 8: Infrastructure Troubleshooting 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 Horizon 8: Infrastructure Troubleshooting 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 In this 3 day customized Intermediate SQL course students will learn additional commands and functions using labs/activities/content that correlates with this content. By understanding SQL, you get the knowledge of fundamental queries associated with data management so that you can verify, monitor, and control all the activities operating in the database. Lesson 1 Substring Instr / CharIndex Convert (data types and with Formatting) Replace RowCount / RowNum / Top )n) ÿ(Oracle/SQL Server functions) Case / If Then Else statements Exists Clause Find Duplicates using Group by and have clause (and other tips for analyzing data) Lesson 2 Set operations (UNION, UNION ALL, INTERSECT, MINUS) GROUP BY extensions (ROLLUP, CUBE, and GROUPING SETS) Loops / Cursors Common Table Expressions (CTEs) Lesson 3 Temp Tables / Views Advanced Subqueries Regular Expressions (RegEx) Linked Server Queries Qualified subquery predicates Aggregate functions Optimizing queries SQL Injection Lesson 4 JSON Parsing With Partition By With Over Fuzzy Logic - MDS.mdq.[Similarity]ÿ Additional course details: Nexus Humans Intermediate SQL Custom 3-Day Private Class Outline 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 Intermediate SQL Custom 3-Day Private Class Outline 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 Overview ?The OS X Sierra troubleshooting process?How to use OS X Sierra tools and resources to troubleshoot OS X Sierra?OS X Sierra features and functionality, including how to find more information about OS X Sierra?How to prepare for Apple Certified Support Professional (ACSP) 10.12 certification In this course students will receive an in-depth exploration of troubleshooting on OS X Sierra. Installation and Configuration Install OS X Sierra Setup and Configuration OS X Recovery OS X Software Updates User Accounts User Accounts User Home Folders System Security Keychain Management File Systems File Systems and Storage FileVault 2 Permissions and Sharing File System Troubleshooting SIP Data Management Hidden Items and Shortcuts System resources Metadata and Spotlight File Archives Time Machine Applications and Processes Application Installation Document Management Application Management and Troubleshooting Network Configuration Network Essentials Advanced Network Configuration Network Troubleshooting Network Services Network Services Host Sharing and Personal Firewall System Management Peripherals and Drivers Print and Scan System Troubleshooting Additional course details: Nexus Humans Sierra 101 - OS X Support Essentials 10.12 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 Sierra 101 - OS X Support Essentials 10.12 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 Application DevelopersWeb AdministratorDeveloperProject ManagerSystem AdministratorTechnical AdministratorTechnical ConsultantTeam Leader Overview Write Java code that uses variables, arrays, conditional and loop constructsManipulate primitive numeric data and string data using Java operatorsCreate Java classes and use object referencesAccess the fields and methods of an objectManipulate text data using the methods of the String and StringBuilder classesUse casting without losing precision or causing errorsDeclare, override, and invoke methodsAccess and create static fields and methodsUse classes from the java.time and java.time.format packages to format and print the local date and timeEncapsulate a class using access modifiers and overloaded constructorsDefine and implement a simple class hierarchyDemonstrate polymorphism by implementing a Java InterfaceUse a Predicate Lambda expression as the argument to a methodHandle a checked exception in a Java application This Java SE 8 Fundamentals training introduces you to object-oriented programming using the Java language. Through hands-on exercises, you'll begin to build a baseline of knowledge to propel your career in development. This Java SE 8 Fundamentals training introduces you to object-oriented programming using the Java language. Through hands-on exercises, you'll begin to build a baseline of knowledge to propel your career in development. Additional course details: Nexus Humans Java SE 8 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 Java SE 8 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.

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 1 Days 6 CPD hours Overview Please refer to Overview This course provides an overview of IoT and Blockchain, and how Blockchain holds the potential to securely unlock business and operational value of IoT to support common tasks, such as sensing, processing, storing information, and communicating. What is IoT? Internet of Things Overview IoT History How does IoT work? Components of an IoT device Current IoT Landscape Growth areas Privacy concerns IoT Design Standards Zigbee networking protocol Thread Group AllSeen Alliance/AllJoyn Open Interconnect Consortium/IoTivity Industrial Internet Consortium ITU-T SG20 IEEE P2413 Apple HomeKit IoT Design Questions Questions to help you design an IoT solution IoT Architecture Stage 1 - Data Generation (Sensors / Actuators) Stage 2 - Data Acquisition Systems Stage 3 - Edge Processing Stage 4 - Long-Term Data Storage / Blockchain What is Blockchain? History of Blockchain How does Blockchain work? Benefits of Blockchain Blockchain vs. conventional technology IoT / Blockchain Benefits of adding Blockchain to IoT Trust Building Cost Reduction Accelerate Data Exchanges Scaled Security for IoT Additional course details: Nexus Humans IoT and Blockchain Training 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 IoT and Blockchain Training 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 Implementers and administrators who are new to IBM Spectrum Protect data management. Overview At the end of this course you should be able to: Describe the purpose of IBM Spectrum Protect Install and configure the IBM Spectrum Protect components Use the administrative and client interfaces Discuss storage methodology options and create storage pool Customize data movement and retention policies to meet business requirements Configure the IBM Spectrum Protect database and storage pools for protection Optimize client configuration Perform backup, restore, archive and retrieve operations Organize daily tasks required to protect the IBM Spectrum Protect environment Automate and monitor client and administrative tasks and events IBM Spectrum© Protect 8.1.6 is a data backup and recovery solution designed to help you manage your data retention, reduce the cost of storage, and provide appropriate recovery point objectives to meet any service level agreement. IBM Spectrum© Protect offers improved efficiency and flexibility using object-based data management and policy driven retention.This course will focus on implementation and basic administration of a IBM Spectrum© Protect environment. The hands-on lab exercises are performed on a Windows 2012 environment. The course materials include examples of AIX and Linux commands, when different from Windows. Components and conceptsInstallation and configurationInterfaces and monitoringStorage pools and devicesPolicy management, data movement, and explorationDatabase and storage pool managementClient configuration and managementClient data protectionDaily operations and maintenanceSchedules and reports Additional course details: Nexus Humans TS617 IBM Spectrum Protect - Implementation and Administration (v8.1.6) 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 TS617 IBM Spectrum Protect - Implementation and Administration (v8.1.6) 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.