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Duration 2.5 Days 15 CPD hours This course is intended for This course is designed for administrators who configure and manage web-based applications on WebSphere Application Server. Web administrators, application developers and deployers, security specialists, and application architects can also benefit from this course.Prerequisite(s) Overview After completing this course, you should be able to:Relate WebSphere Application Server to the WebSphere family of productsDescribe the features and standards in WebSphere Application Server V9Describe the use of WebSphere Application Server in cloud, hybrid cloud, and on-premises environmentsDescribe the architectural concepts that are related to WebSphere Application ServerAssemble and install server-side Java enterprise applicationsUse WebSphere administrative tools to configure and manage enterprise applicationsUse wsadmin scriptingConfigure WebSphere Application Server securityView performance information about server and application componentsTroubleshoot problems by using problem determination tools and log files In this course, you learn how to configure and maintain IBM WebSphere Application Server V9 in a single-server environment. Course Outline Course introduction WebSphere product family overview WebSphere Application Server architecture - stand-alone Exercise: Profile creation WebSphere Application Server administrative console Exercise: Exploring the administrative console Introduction to the PlantsByWebSphere application Application assembly Exercise: Assembling an application Application installation Exercise: Installing an application Problem determination Exercise: Problem determination Introduction to wsadmin and scripting Exercise: Using wsadmin WebSphere security Exercise: Configuring WebSphere Application Server security Exercise: Configuring application security Performance monitoring Exercise: Using the performance monitoring tools Course summary Additional course details: Nexus Humans WA590 IBM WebSphere Application Server V9 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 WA590 IBM WebSphere Application Server V9 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 1 Days 6 CPD hours This course is intended for This course is intended for solution architects, developers, business analysts, system administrators, or anyone who works as a solution builder within their company. Overview Build and deploy a solution Create properties and document classes Create roles and in-baskets Create a case type and tasks Create a workflow Use preconditions and sets Automate case packaging Add case stages Apply solution design principles In this course you will create basic case management solutions with IBM Case Manager Builder and Process Designer. Using an iterative solution development process, you will create, deploy, test, and revise your solutions, adding complexity and functionality to your solutions as you gain skills. You will create properties and document classes, configure roles and in-baskets, and define case stages. You will work with case types, tasks, and workflows. This course includes some guidelines on solution design principles. After completing this course, you can build on these skills by taking more advanced or specialized courses in security, user-interface customization, and solution deployment. Build and Deploy a Solution Build a solution Deploy a solution Test a solution Manage roles Redeploy a solution Create Properties and Document Classes Create case properties Create task properties Create a business object Create document classes Create Roles and In-Baskets Create roles Create in-baskets Create Tasks Create a to-do task Create a container task Add the to-do list widget to the Case Details pag Create a Step Map Open a task in Step Designer Create a step map Add a workgroup to a step map Add an attachment to a step map Use Preconditions and Sets Organize tasks with preconditions Organize tasks with inclusive sets Organize tasks with exclusive sets Automate Case Packaging Open a task in Process Designer Add a component step to a task Use a component step to package a case Add Case Stages Add case stages to a solution Use a system step to perform a case stage operation Use a case stage as a task precondition Solution Design Principles Describe solution design principles

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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 3 Days 18 CPD hours This course is intended for This intermediate course is for all computer professionals who will use z/OS UNIX. Overview Discuss the role of z/OS in an open systems environmentIdentify the basic terms used in z/OS UNIXDefine the components of z/OS UNIXExplain major functions provided in z/OS UNIXDiscuss opportunities for applications in a z/OS UNIX environmentIdentify z/OS base elements and optional features that make up z/OS UNIXUse the two interactive interfaces available to access the services This course describes how open standards are implemented in a z/OS system by z/OS UNIX. UNIX System Services are introduced, and the role of z/OS as a server in the open systems environment is discussed. Day 1 Welcome and introduction Unit 1. z/OS UNIX overview Unit 2. Introduction to z/OS UNIX Unit 3. Hierarchical file system Exercises Day 2 Unit 4. z/OS UNIX shell and utilities Unit 5. z/OS UNIX shell commands Unit 6. Working with the shell Unit 7. Functions in z/OS UNIX Exercises Day 3 Unit 8. Working with the z/OS UNIX environment Exercises

Duration 3 Days 18 CPD hours This course is intended for This advanced course is for IT professionals tasked with administering a Spectrum Scale system. Overview Please see Overview This course is intended for IT professionals tasked with administering a Spectrum Scale system. It includes information on installing, configuring and monitoring a Spectrum Scale cluster. Migrating to IBM Spectrum Scale 4.2Spectrum Scale 4.2 GUIMulti-clusterClustered NFSCluster Export Services for multi-protocol supportSMB Protocol SupportNFS Support in CES; Ganesha overview/performanceActive File ManagementAFM-Based Disaster Recovery (DR) and Asynchronous DRPlanning LTFS and GPFS environment for data archivingFile Placement OptimizerIBM© GPFS-FPO and integration with GPFS Hadoop connectorIBM© Spectrum Scale Call HomeMonitoring and performance tuningFlash Cache metadata migration

Duration 3 Days 18 CPD hours This course is intended for Data Science for Marketing Analytics is designed for developers and marketing analysts looking to use new, more sophisticated tools in their marketing analytics efforts. It'll help if you have prior experience of coding in Python and knowledge of high school level mathematics. Some experience with databases, Excel, statistics, or Tableau is useful but not necessary. Overview By the end of this course, you will be able to build your own marketing reporting and interactive dashboard solutions. The course starts by teaching you how to use Python libraries, such as pandas and Matplotlib, to read data from Python, manipulate it, and create plots, using both categorical and continuous variables. Then, you'll learn how to segment a population into groups and use different clustering techniques to evaluate customer segmentation.As you make your way through the course, you'll explore ways to evaluate and select the best segmentation approach, and go on to create a linear regression model on customer value data to predict lifetime value. In the concluding sections, you'll gain an understanding of regression techniques and tools for evaluating regression models, and explore ways to predict customer choice using classification algorithms. Finally, you'll apply these techniques to create a churn model for modeling customer product choices. Data Preparation and Cleaning Data Models and Structured Data pandas Data Manipulation Data Exploration and Visualization Identifying the Right Attributes Generating Targeted Insights Visualizing Data Unsupervised Learning: Customer Segmentation Customer Segmentation Methods Similarity and Data Standardization k-means Clustering Choosing the Best Segmentation Approach Choosing the Number of Clusters Different Methods of Clustering Evaluating Clustering Predicting Customer Revenue Using Linear Regression Understanding Regression Feature Engineering for Regression Performing and Interpreting Linear Regression Other Regression Techniques and Tools for Evaluation Evaluating the Accuracy of a Regression Model Using Regularization for Feature Selection Tree-Based Regression Models Supervised Learning: Predicting Customer Churn Classification Problems Understanding Logistic Regression Creating a Data Science Pipeline Fine-Tuning Classification Algorithms Support Vector Machine Decision Trees Random Forest Preprocessing Data for Machine Learning Models Model Evaluation Performance Metrics Modeling Customer Choice Understanding Multiclass Classification Class Imbalanced Data Additional course details: Nexus Humans Data Science for Marketing Analytics 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 Data Science for Marketing Analytics 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 1 Days 6 CPD hours This course is intended for This course is intended for people in a variety of roles and fields who have a basic understanding of Microsoft 365 and want to incorporate digital note taking and note collaboration by using Microsoft OneNote. Overview In this course, you will develop note-taking skills by creating, modifying, and managing OneNote notebooks that work with other Microsoft 365 applications. You will: Navigate and customize the OneNote environment and create your first notebook. Add and format various types of notes and note elements, including text, links, and drawing objects. Add images, video, audio, Excel spreadsheets, and other types of files to a notebook. Organize, categorize, and search notebook content. Finalize notebook content by checking spelling, printing copies, and password-protecting notebooks. Manage notebooks by exporting content and working with history and backups. Share notebooks using Outlook and collaborate with colleagues using OneDrive. In our fast-paced digital world, the need to capture ideas, meeting notes, and to-do items is ever present. Microsoft's OneNote app provides a way for you to efficiently create and collect your notes in an electronic notebook. This course will help you use OneNote notebooks to store a wide variety of content in an organized structure, access the content from anywhere, and also share it with others. Additionally, learning how OneNote and other applications in the Microsoft 365 suite are integrated will increase your productivity. Lesson 1: Getting Started with OneNote Topic A: Navigate the OneNote Environment Topic B: Create Notebook Pages from Page Templates Topic C: Customize the OneNote User Interface Lesson 2: Adding and Formatting Notebook Content Topic A: Format Notebook Content Topic B: Add Quick Notes and Linked Notes to a Notebook Topic C: Use Drawing Tools in a Notebook Topic D: Use Dictation in a Notebook Lesson 3: Adding Files to Notebooks Topic A: Insert Images, Video, and Audio into a Notebook Topic B: Embed Excel Spreadsheets in a Notebook Topic C: Attach Other File Types to a Notebook Lesson 4: Organizing Notebook Content Topic A: Use Tags to Categorize Notes Topic B: Organize and Search Notebooks Lesson 5: Finalizing Notebooks Topic A: Proof and Print a Notebook Topic B: Configure Password Protection and Notebook Properties Lesson 6: Managing Notebooks Topic A: Export Content from a Notebook Topic B: Manage Notebook History Lesson 7: Sharing OneNote Content Topic A: Send Notebook Pages to Others Topic B: Work with Integrated Outlook Features Topic C: Collaborate on Notebooks Additional course details: Nexus Humans Microsoft OneNote (Desktop App) 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 Microsoft OneNote (Desktop App) 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 Typical candidates for this course are IT professionals who deploy Aruba WLAN with advanced features and individuals who need a basic understanding of AirWave. Overview Upon completion of this course, students will be able to:Explain the integration Mobility Masters and Mobility controllersDescribe redundancy giving the user seamless failoverSetup secure guest access using MultizoneExplain the uses and advantages of clusteringDescribe user mobility in the wireless spectrumIntegrate voice over WiFi and give QOSExplain how roles are assigned to users wireless or wiredLearn to setup remote access using RAPs or VIADescribe how to create a mesh clusterLearn the advantages given to AirGroup when leveraged on an Aruba networkIntegrating wire users into the security given to wireless usersLearn how to use AirWave to monitor the health of the networkLearn how to use AirWave to troubleshoot clientExplain AirWave?s Visual RF feature as well as alerts and triggers This course teaches the knowledge, skills and practical experience required to set up and configure advanced features on Aruba WLAN utilizing the AOS 8.X architecture and features. This course includes lectures and labs which provide the technical understanding and hands-on experience of configuring a redundant Mobility Master with two controllers and two APs. Participants will learn how install a redundant Aruba WLAN network with clustering while using many features like Multizone for guest access, voice optimization and tunneled node. This course includes the AirWave management system and troubleshooting commands. The SWDI course provides the underlying material required to prepare candidates for the Aruba Certified Mobility Professional (ACMP) V8 certification exam. IntroductionMobility Master RedundancyMobility Master and MC OperationsMultizoneIntroduction to MC clustersMobilityRole DerivationRemote AccessVoice OptimizationMeshAdministrationOperationsAirGroupTunneled NodeAirWave IntroductionAirWave Network HealthAirWave Client and Device TroubleshootingAirWave VisualRF, Reports and Alerts

Duration 4 Days 24 CPD hours This course is intended for This class is designed for enterprise architects, solution architects, and business analysts working to earn their Salesforce System Architect credential, for consultants or technical experts working to earn their individual Architect Designer credential, and for Salesforce Developers and Administrators looking to expand their overall capabilities with the Salesforce Platform. Overview Recommend appropriate integration patterns (Remote Process Invocation - Request and Reply, Remote Process Invocation - Fire and Forget, Batch Data Synchronization, Remote Call-In, and UI Update Based on Data Changes) to address integration requirements. Recommend appropriate integration capabilities (SOAP, REST, bulk, streaming, canvas, Workflow outbound, Apex, and Salesforce Connect) to address integration requirements. Recommend the appropriate SSO Flow or OAuth flow to address identity and access management requirements. Dive into the two cornerstone domains of being a System Architect: Integration Architecture, and Identity and Access Management. In this 4-day workshop, our Architect experts will present you with a case study scenario that will be broken down and digested through iterative exploration. Learn how to design and build secure, scalable, and high-performing integration and identity solutions through a combination of lecture, demos, hands-on exercises, and workshop presentations and discussions. Integration Capabilities Create, Retrieve, Update, or Delete Records with SOAP API Integrate with Salesforce Using REST API Insert, Update, Upsert, or Delete Large Volumes of Data with BULK API Push Relevant Data to Users in Real Time with Streaming API Send Information to a Designated Endpoint with Outbound Message Integrate Your Apex with an External Service Using Callouts Integrate Data from an External Data Source Using Salesforce Connect Synchronize Data with Heroku Connect Connect Business Processes in Salesforce with Platform Events Publish Change Events with Change Data Capture Integration Patterns Invoke Remote Call-In Patterns Invoke Request and Reply Patterns Invoke Fire and Forget Patterns Synchronize Batch Data Update UI Based on Data Changes Visualize Data Identity Management Review SSO Fundamentals Review Identity Management Review Identity Management Concepts Understand Salesforce as an Identity Provider Accept Third-Party Identity in Salesforce Understand Social Sign-On and Open ID Connect Enable Users to Authenticate with SSO Flows Initiate Flows with IDP Initiate Flows with SP Troubleshoot Identity Issues Authentication Grant Client Application Access with OAuth Flow Generate Access Tokens with Username Password Flow Initiate Web Server Flow Grant Application Access with User Agent Flow Connect to Salesforce Using JWT Flow