5601 Computing & IT courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Cybersecurity analysts and engineers and security operations specialists, as well as administrators and product deployers. Overview Successful completion of this instructor-led course with hands-on lab activities should enable you to: Describe the architecture and components of the Cortex XDR family Use the Cortex XDR management console, including reporting Create Cortex XDR agent installation packages, endpoint groups, and policies Deploy Cortex XDR agents on endpoints Create and manage Exploit and Malware Prevention profiles Investigate alerts and prioritize them using starring and exclusion policies Tune Security profiles using Cortex XDR exceptions Perform and track response actions in the Action Center Perform basic troubleshooting related to Cortex XDR agents Deploy a Broker VM and activate the Local Agents Settings applet Understand Cortex XDR deployment concepts and activation requirements Work with the Customer Support Portal and Cortex XDR Gateway for authentication and authorization This instructor-led training enables you to prevent attacks on your endpoints. After an overview of the Cortex XDR components, the training introduces the Cortex XDR management console and demonstrates how to install agents on your endpoints and how to create Security profiles and policies. The training enables you to perform and track response actions, tune profiles, and work with Cortex XDR alerts. The training concludes with discussions about basic troubleshooting of the agent, the on-premises Broker VM component, and Cortex XDR deployment. Course Outline Module 1 - Cortex XDR Overview Module 2 - Cortex XDR Main Components Module 3 - Cortex XDR Management Console Module 4 - Profiles and Policy Rules Module 5 - Malware Protection Module 6 - Exploit Protection Module 7 - Cortex XDR Alerts Module 8 - Tuning Policies Using Exceptions Module 9 - Response Actions Module 10 - Basic Agent Troubleshooting Module 11 - Broker VM Overview Module 12 - Deployment Considerations Additional course details: Nexus Humans Palo Alto Networks : Cortex XDR 3.2: Prevention and Deployment (EDU-260) 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 Palo Alto Networks : Cortex XDR 3.2: Prevention and Deployment (EDU-260) 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 Experienced security administrators or network administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the architecture and main components of NSX-T Data Center Explain the features and benefits of NSX-T Data Center Deploy the NSX Management cluster and VMware NSX Edge™ nodes Prepare VMware ESXi™ and KVM hosts to participate in NSX-T Data Center networking Create and configure segments for layer 2 forwarding Create and configure Tier-0 and Tier-1 gateways for logical routing Use distributed and gateway firewall policies to filter east-west and north-south traffic in NSX-T Data Center Configure Advanced Threat Prevention features Configure network services on NSX Edge nodes Use VMware Identity Manager and LDAP to manage users and access Explain the use cases, importance, and architecture of Federation This five-day, fast-paced course provides comprehensive training on how to install, configure, and manage a VMware NSX-T? Data Center environment. This course covers key NSX-T Data Center features and functionality offered in the NSX-T Data Center 3.2 release, including the overall infrastructure, logical switching, logical routing, networking and security services, firewalls and advanced threat prevention, and more. Course Introduction Introductions and course logistics Course objectives VMware Virtual Cloud Network and NSX-T Data Center Introduce the VMware Virtual Cloud Network vision Discuss NSX-T Data Center solutions, use cases, and benefits Explain NSX-T Data Center architecture and components Describe the VMware NSXTM product portfolio and features Explain the management, control, data, and consumption planes and function Preparing the NSX-T Data Center Infrastructure Describe NSX Management Cluster Deploy VMware NSXTM ManagerTM nodes on VMware ESXi and KVM hypervisors Navigate through the NSX Manager UI Explain data-plane components such as N-VDS/VDS, transport nodes, transport zones, profiles, and more Perform transport node preparation and establish the data center infrastructure Verify transport node status and connectivity NSX-T Data Center Logical Switching Introduce key components and terminology in logical switching Describe the function and types of L2 segments Explain tunneling and the GENEVE encapsulation Configure logical segments and attach hosts using NSX Manager UI Describe the function and types of segment profiles Create segment profiles and apply them to segments and ports Explain the function of MAC, ARP, and TEP tables used in packet forwarding Demonstrate L2 unicast packet flow Explain ARP suppression and BUM traffic handling NSX-T Data Center Logical Routing Describe the logical routing function and use cases Introduce the two-tier routing architecture, topologies, and components Explain the Tier-0 and Tier-1 Gateway functions Describe the logical router components: Service Router and Distributed Router Discuss the architecture and function of NSX Edge nodes Discuss deployment options of NSX Edge nodes Configure NSX Edge nodes and create NSX Edge clusters Configure Tier-0 and Tier-1 Gateways Examine the single-tier and multitier packet flow Configure static routing and dynamic routing, including BGP and OSPF Enable ECMP on Tier-0 Gateway Describe NSX Edge HA, failure detection, and failback modes Configure VRF Lite NSX-T Data Center Bridging Describe the function of logical bridging Discuss the logical bridging use cases Compare routing and bridging solutions Explain the components of logical bridging Create bridge clusters and bridge profiles NSX-T Data Center Firewalls Describe NSX segmentation Identify the steps to enforce Zero-Trust with NSX segmentation Describe the Distributed Firewall architecture, components, and function Configure Distributed Firewall sections and rules Configure the Distributed Firewall on VDS Describe the Gateway Firewall architecture, components, and function Configure Gateway Firewall sections and rules NSX-T Data Center Advanced Threat Prevention Explain NSX IDS/IPS and its use cases Configure NSX IDS/IPS Deploy the NSX Application Platform Identify the components and architecture of NSX Malware Prevention Configure NSX Malware Prevention for east-west and north-south traffic Describe the use cases and architecture of NSX Intelligence Identify the components and architecture of VMware NSX© Network Detection and Response? Use NSX Network Detection and Response to analyze network traffic events. NSX-T Data Center Services Describe NSX-T Data Center services Explain and configure Network Address Translation (NAT) Explain and configure DNS and DHCP services Describe VMware NSX© Advanced Load Balancer? architecture, components, topologies, and use cases. Configure NSX Advanced Load Balancer Discuss the IPSec VPN and L2 VPN function and use cases Configure IPSec VPN and L2 VPN using the NSX Manager UI NSX-T Data Center User and Role Management Describe the function and benefits of VMware Identity Manager? in NSX-T Data Center Integrate VMware Identity Manager with NSX-T Data Center Integrate LDAP with NSX-T Data Center Identify the various types of users, authentication policies, and permissions Use role-based access control to restrict user access NSX-T Data Center Federation Introduce the NSX-T Data Center Federation key concepts, terminology, and use-cases. Explain the onboarding process of NSX-T Data Center Federation Describe the NSX-T Data Center Federation switching and routing functions. Describe the NSX-T Data Center Federation security concepts.

Duration 2 Days 12 CPD hours This course is intended for Cybersecurity analysts and engineers Security operations specialists Overview Successful completion of this instructor-led course with hands-on lab activities should enable participants to: Investigate and manage incidents Describe the Cortex XDR causality and analytics concepts Analyze alerts using the Causality and Timeline Views Work with Cortex XDR Pro actions such as remote script execution Create and manage on-demand and scheduled search queries in the Query Center Create and manage the Cortex XDR rules BIOC and IOC Working with Cortex XDR assets and inventories Write XQL queries to search datasets and visualize the result sets Work with Cortex XDR's external-data collection This instructor-led course teaches you how to use the Incidents pages of the Cortex XDR management console to investigate attacks. It explains causality chains, detectors in the Analytics Engine, alerts versus logs, log stitching, and the concepts of causality and analytics. You will learn how to analyze alerts using the Causality and Timeline Views and how to use advanced response actions, such as remediation suggestions, the EDL service, and remote script execution. Multiple modules focus on how to leverage the collected data. You will create simple search queries in one module and XDR rules in another. The course demonstrate how to use specialized investigation views to visualize artifact-related data, such as IP and Hash Views. Additionally, it provides an introduction to XDR Query Language (XQL). The course concludes with Cortex XDR external-data collection capabilities, including the use of Cortex XDR API to receive external alerts. This class is powered by Cloud Harmonics. Course Outline Module 1 - Cortex XDR Incidents Module 2 - Causality and Analytics Concepts Module 3 - Causality Analysis of Alerts Module 4 - Advanced Response Actions Module 5 - Building Search Queries Module 6 - Building XDR Rules Module 7 - Cortex XDR Assets Module 8 - Introduction to XQL Module 9 - External Data Collection

Duration 3 Days 18 CPD hours This course is intended for This course is geared for attendees with solid Python skills who wish to learn and use basic machine learning algorithms and concepts 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. Topics Covered: This is a high-level list of topics covered in this course. Please see the detailed Agenda below Getting Started & Optional Python Quick Refresher Statistics and Probability Refresher and Python Practice Probability Density Function; Probability Mass Function; Naive Bayes Predictive Models Machine Learning with Python Recommender Systems KNN and PCA Reinforcement Learning Dealing with Real-World Data Experimental Design / ML in the Real World Time Permitting: Deep Learning and Neural Networks Machine Learning Essentials with Python is a foundation-level, three-day hands-on course that teaches students core skills and concepts in modern machine learning practices. This course is geared for attendees experienced with Python, but new to machine learning, who need introductory level coverage of these topics, rather than a deep dive of the math and statistics behind Machine Learning. Students will learn basic algorithms from scratch. For each machine learning concept, students will first learn about and discuss the foundations, its applicability and limitations, and then explore the implementation and use, reviewing and working with specific use casesWorking in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore:Popular machine learning algorithms, their applicability and limitationsPractical application of these methods in a machine learning environmentPractical use cases and limitations of algorithms Getting Started Installation: Getting Started and Overview LINUX jump start: Installing and Using Anaconda & Course Materials (or reference the default container) Python Refresher Introducing the Pandas, NumPy and Scikit-Learn Library Statistics and Probability Refresher and Python Practice Types of Data Mean, Median, Mode Using mean, median, and mode in Python Variation and Standard Deviation Probability Density Function; Probability Mass Function; Naive Bayes Common Data Distributions Percentiles and Moments A Crash Course in matplotlib Advanced Visualization with Seaborn Covariance and Correlation Conditional Probability Naive Bayes: Concepts Bayes? Theorem Naive Bayes Spam Classifier with Naive Bayes Predictive Models Linear Regression Polynomial Regression Multiple Regression, and Predicting Car Prices Logistic Regression Logistic Regression Machine Learning with Python Supervised vs. Unsupervised Learning, and Train/Test Using Train/Test to Prevent Overfitting Understanding a Confusion Matrix Measuring Classifiers (Precision, Recall, F1, AUC, ROC) K-Means Clustering K-Means: Clustering People Based on Age and Income Measuring Entropy LINUX: Installing GraphViz Decision Trees: Concepts Decision Trees: Predicting Hiring Decisions Ensemble Learning Support Vector Machines (SVM) Overview Using SVM to Cluster People using scikit-learn Recommender Systems User-Based Collaborative Filtering Item-Based Collaborative Filtering Finding Similar Movie Better Accuracy for Similar Movies Recommending movies to People Improving your recommendations KNN and PCA K-Nearest-Neighbors: Concepts Using KNN to Predict a Rating for a Movie Dimensionality Reduction; Principal Component Analysis (PCA) PCA with the Iris Data Set Reinforcement Learning Reinforcement Learning with Q-Learning and Gym Dealing with Real-World Data Bias / Variance Tradeoff K-Fold Cross-Validation Data Cleaning and Normalization Cleaning Web Log Data Normalizing Numerical Data Detecting Outliers Feature Engineering and the Curse of Dimensionality Imputation Techniques for Missing Data Handling Unbalanced Data: Oversampling, Undersampling, and SMOTE Binning, Transforming, Encoding, Scaling, and Shuffling Experimental Design / ML in the Real World Deploying Models to Real-Time Systems A/B Testing Concepts T-Tests and P-Values Hands-on With T-Tests Determining How Long to Run an Experiment A/B Test Gotchas Capstone Project Group Project & Presentation or Review Deep Learning and Neural Networks Deep Learning Prerequisites The History of Artificial Neural Networks Deep Learning in the TensorFlow Playground Deep Learning Details Introducing TensorFlow Using TensorFlow Introducing Keras Using Keras to Predict Political Affiliations Convolutional Neural Networks (CNN?s) Using CNN?s for Handwriting Recognition Recurrent Neural Networks (RNN?s) Using an RNN for Sentiment Analysis Transfer Learning Tuning Neural Networks: Learning Rate and Batch Size Hyperparameters Deep Learning Regularization with Dropout and Early Stopping The Ethics of Deep Learning Learning More about Deep Learning Additional course details: Nexus Humans Machine Learning Essentials with Python (TTML5506-P) 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 Machine Learning Essentials with Python (TTML5506-P) 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 0.5 Days 3 CPD hours This course is intended for This course is designed for all users of computers, mobile devices, networks, and the Internet, to enable them to use technology more securely and minimize digital risks, regardless of technical ability. This course is also designed for you to prepare for the CyberSAFE credential. You can obtain your CyberSAFE certificate by completing the CyberSAFE credential process on the CHOICE platform following the course presentation. Overview In this course, you will identify many of the common risks involved in using conventional computing technology, as well as ways to use it safely, to protect yourself from those risks. You will: Identify security compliance measures. Address social engineering attempts. Secure devices such as desktops, laptops, tablets, smartphones, and more. Use the Internet securely. Welcome to CyberSAFE: Exam CBS-410. Regardless of your computer experience, this class will help you become more aware of technology-related risks and what you can do to protect yourself and your organization from them. This course will help you to:Understand both security and compliance needs and requirements.Recognize and avoid phishing and other social engineering attempts.Recognize and avoid viruses, ransomware, and other malware.Help ensure data security on computers, mobile devices, networks, the Internet, and in the cloud.In this course, you will use discussions, case studies, and the experiences of your instructor and fellow students to explore the hazards and pitfalls of technology and learn how to use that technology safely and securely. Identifying Security Compliance Measures Topic A: Identify Organizational Compliance Requirements and Resources Topic B: Identify Legal Compliance Requirements and Resources Topic C: Identify Industry Compliance Requirements and Resources Recognizing and Addressing Social Engineering Attacks Topic A: Recognize Phishing and Other Social Engineering Attacks Topic B: Defend Against Phishing and Other Social Engineering Attacks Securing Devices Topic A: Maintain Physical Security of Devices Topic B: Use Secure Authentication Methods Topic C: Protect Your Data Topic D: Defend Against Malware Topic E: Use Wireless Devices Securely Using the Internet Securely Topic A: Browse the Web Safely Topic B: Use Email Securely Topic C: Use Social Networks Securely Topic D: Use Cloud Services Securely Topic E: Work from Remote Locations Securely

Duration 5 Days 30 CPD hours This course is intended for Technical Administrator Java EE Developer System Administrator Overview Configure WebLogic Server's authentication provider Deploy applications to WebLogic Server Backup and restore a WebLogic Server domain Create a WebLogic Server domain Configure and monitor WebLogic Server Configure WebLogic Server database resources Create and configure a WebLogic Server cluster Install WebLogic Server 12c This Oracle WebLogic Server 12c: Administration I training teaches administrators to install and configure Oracle WebLogic Server 12c. It gives administrators an overview of the basic concepts and architecture of WebLogic Server. This Oracle WebLogic Server 12c: Administration I training teaches administrators to install and configure Oracle WebLogic Server 12c. It gives administrators an overview of the basic concepts and architecture of WebLogic Server.

Duration 3 Days 18 CPD hours This course is intended for This course is designed for system administrators and implementors interested in learning IBM Security Verify Access. Overview Describe IBM Security Verify Access product and its key features Discuss the architecture and deployment process Configure IBM Security Verify Access users, groups, and domains Introduce concepts of a reverse proxy and how it fits in your web-based infrastructure Describe protected object space and the policy access control model Explain how to set up reverse proxy junctions to handle web requests Discuss and configure authentication mechanisms that are supported by Verify Access Explain and set up logging, auditing, and tracing for Verify Access components IBM Security Verify Access helps you simplify your users' access while more securely adopting web, mobile, IoT, and cloud technologies. It can be deployed on premises, in a virtual or hardware appliance, or containerized with Docker. Verify Access also directly connects with Verify SaaS for a modernized, hybrid IAM approach to enable your organization's migration to identity as a service (IDaaS) at a comfortable pace. Using the skills taught in this course, you learn how to run Verify Access via Docker, configure authentication and authorization mechanisms, implement policy access control, and set up reverse proxy junctions to process web requests. Hands-on exercises reinforce the skills learned. Unit 1 Introduction to IBM Security Verify Access Unit 2 Architecture and deployment Unit 3 Managing users, groups, and domains Unit 4 Reverse Proxy (WebSEAL) concepts Unit 5 Managing access control Unit 6 Configuring junctions for back-end resources Unit 7 Authentication framework and methods Unit 8 Logging, auditing, and tracing Additional course details: Nexus Humans TW108G IBM Security Verify Access Foundations 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 TW108G IBM Security Verify Access Foundations 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 4 Days 24 CPD hours This course is intended for This course is geared for experienced skilled Java developers, software developers, data scientists, machine learning experts or others who wish to transtion their coding skills to Scala, learning how to code in Scala and apply it in a practical way. This is not a basic class. Overview Working in a hands-on learning environment led by our expert instructor you'll: Get comfortable with Scala's core principles and unique features, helping you navigate the language confidently and boosting your programming skills. Discover the power of functional programming and learn techniques that will make your code more efficient,maintainable, and enjoyable to write. Become proficient in creating dynamic web applications using the Play Framework, and easily connect to databases with the user-friendly Slick library. Master concurrency programming with Akka, empowering you to build scalable and fault-tolerant applications that excel in performance. Enhance your testing skills using ScalaTest and ScalaCheck, ensuring the reliability and quality of your Scala applications, while having fun in the process. Explore the fascinating world of generative AI and GPT technologies, and learn how to integrate them into your projects,adding a touch of innovation and intelligence to your Scala solutions. If your team requires different topics, additional skills or a custom approach, our team will collaborate with you to adjust the course to focus on your specific learning objectives and goals. Discover the power of Scala programming in our comprehensive, hands-on technical training course designed specifically for experienced object-oriented (OO) developers. Scala is a versatile programming language that combines the best of both OO and functional programming paradigms, making it ideal for a wide range of projects, from web applications to big data processing and machine learning. By mastering Scala, you'll be able to develop more efficient, scalable, and maintainable applications. Fast Track to Scala Programming for OO / Java Developers is a four day hands-on course covers the core principles of Scala, functional programming, web application development, database connectivity, concurrency programming, testing, and interoperability between Scala and Java. Additionally, you'll explore cutting-edge generative AI and GPT technologies, learning how to integrate them into your Scala applications for intelligent suggestions or automation. Throughout the course you?ll explore the latest tools and best practices in the Scala ecosystem, gaining valuable knowledge and experience that can be directly applied to your day-to-day work. With 50% of the course content dedicated to hands-on labs, you'll gain practical experience applying the concepts you've learned across various projects, such as building functional web applications, connecting to databases, designing modular components, and implementing concurrency. Upon completing the course, you'll have a solid understanding of the language and its features, empowering you to confidently apply your new skills in data science and machine learning projects. You'll exit well-prepared to create efficient, scalable, and maintainable Scala applications, regardless of the complexity of your projects. Introduction to Scala Scala features and benefits Comparing Scala with Java and other OO languages Installing Scala and setting up the development environment Object-Oriented Programming in Scala Classes and objects Traits, mixins, and inheritance Companion objects and factories Encapsulation and polymorphism Functional Programming Basics Pure functions and referential transparency Higher-order functions and currying Immutability and persistent data structures Pattern matching and recursion Having Fun with Functional Data Structures Lists, sets, and maps in Scala Folding and reducing operations Stream processing and lazy evaluation For-comprehensions Building Web Applications in Functional Style Introduction to Play Framework Functional web routing and request handling JSON handling with Play-JSON Middleware and functional composition Connecting to a Database Introduction to Slick library Database configuration and setup Querying and updating with Slick Transactions and error handling Building Scalable and Extensible Components Modular architecture and design patterns Dependency injection with MacWire Type classes and type-level programming Implicit parameters and conversions Concurrency Programming & Akka Introduction to Akka framework and Actor model Actor systems and message passing Futures and Promises Supervision and fault tolerance Building Confidence with Testing Introduction to ScalaTest and ScalaCheck Unit testing and property-based testing Test-driven development in Scala Mocking and integration testing Interoperability between Scala and Java Calling Java code from Scala Using Java libraries in Scala projects Converting Java collections to Scala collections Writing Scala code that can be called from Java Using Generative AI and GPT Technologies in Scala Programming Overview of GPT and generative AI Integrating GPT with Scala applications Use cases and practical examples

Duration 1 Days 6 CPD hours This day-long workshop gives participants a thorough understanding of the iPad iOS operating system. This course is designed for both those who want to learn more about their iPads, those who work in business environments and who want to integrate the iPad into their existing company?s infrastructure, as well as personnel who are responsible for supporting other iPad users. Setting Up The iPad iPad Essentials The Home Screen Launching and Running Apps Changing Screen Orientation Locking the Rotation The Control Center Creating Folders Accessibility and Voice Over Settings General Settings Parameters Passcode Setting Up Notifications Location Services iCloud and Synching your iPad Other Application Settings Multi-Touch Gestures Tap, Touch and Hold Drag, Flick and Swipe Pinch, Rotate and Shake Switching Between Applications Using the Apple Applications Showing and Hiding Applications Closing Documents vs. Quitting Applications Working With Documents Type, Select, Cut, Copy, Paste and Replace Understanding the iPad Keyboard Opening Pages, Numbers and Keynote Accessing Files and Documents Copying files between the iPad and Computer Working with Microsoft Office Connecting To The Internet WI-FI and Bluetooth Devices Through Servers Browsing and Searching The Web Enterprise Network The iPad In Business iOS Security Deployment Seamless Integration Mobile Device Management Printing with AirPrint Creating Passcodes Working with Photos and Camera Photos and Video Recording Video Integrating Photos or Video Into Documents or Presentations Mirroring Video Finding and Installing Apps The App Store Apps for Enterprise Installing and Deleting Apps Resetting the iPad Connecting and Mirroring with the iPhone Battery Issues Tips for Improving Battery Use Rebooting the iPad Hidden Keystrokes Troubleshooting Connectivity Issues ReInstalling Apps Preserving Batter Power Accessibility Functions Additional course details: Nexus Humans iPad For Business 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 iPad For Business 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 This course is for experienced information technology (IT) professionals, typically described as Enterprise Desktop Administrators (EDAs). These EDAs deploy, manage, and maintain PCs, devices, and applications across medium, large, and enterprise organizations. A significant portion of this audience uses, or intends to use, the latest release of Configuration Manager to manage and deploy PCs, devices, and applications.This course also is for individuals who are interested in taking Exam 70-703: Administering System Center Configuration Manager and Cloud Services Integration. Courses 20703-1A and 20703-2A, or equivalent knowledge and skills, are necessary to prepare for this exam. Overview After completing this course, students will be able to:Describe the features Configuration Manager and Intune include, and explain how you can use these features to manage PCs and mobile devices in an enterprise environment.Analyze data by using queries and reports.Prepare a management infrastructure, including configuring boundaries, boundary groups, and resource discovery, and integrating mobile-device management with Microsoft Exchange Server.Deploy and manage the Configuration Manager client.Configure, manage, and monitor hardware and software inventory, and use Asset Intelligence and software metering.Identify and configure the most appropriate method to distribute and manage content used for deployments.Distribute, deploy, and monitor applications for managed users and systems.Maintain software updates for PCs that Configuration Manager manages.Implement Endpoint Protection for managed PCs.Manage configuration items, baselines, and profiles to assess and configure compliance settings and data access for users and devices.Configure an operating-system deployment strategy by using Configuration Manager.Manage and maintain a Configuration Manager site. This course describes how to use Configuration Manager and its associated site systems to efficiently manage network resources. In this five-day course, you will learn day-to-day management tasks, including how to manage applications, client health, hardware and software inventory, operating system deployment, and software updates by using Configuration Manager. You also will learn how to optimize System Center Endpoint Protection, manage compliance, and create management queries and reports. Additionally, this course, in conjunction with Microsoft Official Course 20703-2A, helps certification candidates prepare for Exam 70-703: Administering System Center Configuration Manager and Cloud Services Integration. Managing computers and mobile devices in the enterprise Overview of systems management by using enterprise management solutions Overview of the Configuration Manager architecture Overview of the Configuration Manager administrative tools Tools for monitoring and troubleshooting a Configuration Manager site Lab : Exploring the Configuration Manager tools Searching in the Configuration Manager console Using Windows PowerShell with Configuration Manager Using Configuration Manager Service Manager to manage components Monitoring site and component status Reviewing log files by using the Configuration Manager Trace tool Explain how to use Configuration Manager to address the challenges of managing systems and users in today?s enterprise. Describe the Configuration Manager architecture. Describe the management tools that you use to perform administrative functions for Configuration Manager. Describe the tools that you use to monitor and troubleshoot a Configuration Manager site. Analyzing data using queries and reports Introduction to queries Configuring Microsoft SQL Server Reporting Services (SSRS) Lab : Creating and running queriesConfiguring boundaries and resource discovery Creating data queries Creating subselect queries Creating status message queries Lab : Configuring SSRS Configuring a reporting services point Creating a report by using Report Builder Create and configure data and status message queries. Configure and manage SSRS and the reporting services point. Preparing the management infrastructure to support PCs and mobile devices Configuring site boundaries and boundary groups Configuring resource discovery Configuring the Exchange Server Connector for mobile device management Configuring user and device collections Lab : Configuring boundaries and resource discovery Configuring boundaries, boundary groups, and fallback relationships Configuring Active Directory discovery methods Lab : Configuring user and device collections Creating a device collection Creating a user collection Configuring a maintenance window Configure boundaries and boundary groups. Configure resource discovery. Configure the Exchange Server connector mobile device management. Organize resources using device and user collections. Deploying and managing clients Overview of the Configuration Manager client Deploying the Configuration Manager client Configuring and monitoring client status Managing client settings in Configuration Manager Lab : Deploying the Microsoft System Center Configuration Manager client software Preparing the site for client installation Deploying the Configuration Manager client software by using client push installation Lab : Configuring and monitoring client status Configuring and monitoring client health status Lab : Managing client settings Configuring client settings Describe the requirements and considerations for installing the Configuration Manager client software. Deploy the Configuration Manager client software. Configure and monitor client status. Manage Configuration Manager client settings. Managing inventory for PCs and applications Overview of inventory collection Configuring hardware and software inventory Managing inventory collection Configuring software metering Configuring and managing Asset Intelligence Lab : Configuring and managing inventory collection Configuring and managing hardware inventory Lab : Configuring software metering Configuring software metering Lab : Configuring and managing Asset Intelligence Preparing the site for Asset Intelligence Configuring Asset Intelligence Monitoring license agreements by using Asset Intelligence Viewing Asset Intelligence reports Describe inventory collection. Configure and collect hardware and software inventory. Manage inventory collection. Configure software metering. Configure Asset Intelligence. Distributing and managing content used for deployments Preparing the infrastructure for content management Distributing and managing content on distribution points Lab : Distributing and managing content for deployments Installing a new distribution point Managing content distribution Prepare the infrastructure for content management. Distribute and manage content on distribution points. Deploying and managing applications Overview of application management Creating applications Deploying applications Managing applications Deploying virtual applications by using System Center Configuration Manager (Optional) Deploying and managing Windows Store apps Lab : Creating and deploying applications Installing and configuring the Application Catalog roles Creating applications with requirements Deploying applications Lab : Managing application supersedence and removal Managing application supersedence Uninstalling the Excel Viewer application Lab : Deploying virtual applications by using Configuration Manager (Optional) Configuring support for App-V Deploying virtual applications Lab : Using Configuration Manager to deploy Windows Store apps Configuring support for sideloading Windows Store apps Configuring a Windows Store app Deploying Windows 10 apps to users Describe the application management features of Configuration Manager. Create applications. Deploy applications. Manage applications. Configure and deploy virtual applications. Configure and deploy Windows Store apps. Maintaining software updates for managed PCs The software updates process Preparing a Configuration Manager site for software updates Managing software updates Configuring automatic deployment rules Monitoring and troubleshooting software updates Lab : Configuring the site for software updates Configuring and synchronizing the software update point Lab : Deploying and managing software updates Determining software update compliance Deploying software updates to clients Configuring automatic deployment rules Describe how the software updates feature integrates with Configuration Manager. Prepare the Configuration Manager site for software updates. Manage the evaluation and deployment of software updates. Configure automatic deployment rules. Monitor and troubleshoot software updates. Implementing Endpoint Protection for managed PCs Overview of Endpoint Protection in Configuration Manager Configuring, deploying, and monitoring Endpoint Protection policies Lab : Implementing Microsoft System Center Endpoint Protection Configuring the System Center Endpoint Protection point and client settings Configuring and deploying Endpoint Protection policies Monitoring Endpoint Protection Configure Endpoint Protection to detect and remediate malware and security vulnerabilities. Configure, deploy, and manage Endpoint Protection policies. Managing compliance and secure data access Overview of Compliance Settings Configuring compliance sett