342 Courses in Liverpool delivered Live Online

Course Overview: The Adult Nursing course offers a comprehensive foundation for those seeking a career in nursing, providing learners with essential knowledge and skills for adult healthcare. Covering a wide range of topics, from the legal and ethical aspects of nursing practice to practical issues like pain management and infection control, this course ensures that learners gain the expertise needed to excel in various healthcare environments. Through detailed modules, learners will explore the roles and responsibilities of nurses, the complexities of adult care, and key nursing principles. Upon completion, learners will be well-prepared to contribute effectively to patient care, enhancing their capabilities in diverse healthcare settings. Course Description: This course covers critical topics necessary for the competent practice of adult nursing. Learners will explore healthcare settings, legal frameworks, and ethical considerations in nursing, building a solid understanding of professional standards. The curriculum includes comprehensive modules on infection control, pain management, fluid balance, and more, providing essential knowledge for a well-rounded nursing career. Learners will engage with the core concepts of communication, health and safety, hygiene, and mobility, ensuring they are prepared to meet the challenges of adult care. By the end of the course, learners will possess the skills required to manage patient care in a variety of contexts, making them valuable assets in the healthcare workforce. Course Modules: Module 01: Introduction to Nursing Module 02: Working in Different Healthcare Settings Module 03: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care - Part 1 Module 04: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care - Part 2 Module 05: Effective Communication in Nursing Module 06: Health and Safety in Nursing Module 07: Hygiene in Nursing Module 08: Infection Control Module 09: Asepsis in Nursing Module 10: Medication Administration in Nursing Module 11: Adult Care in Different Life Stages Module 12: Understanding Immune System in Nursing Module 13: Rest and Sleep Management in Nursing Module 14: Mobility and Immobility Issues of Patients in Nursing Module 15: Pain Management for Nurses Module 16: Nutrition in Nursing Module 17: Fluid and Electrolyte Balance Module 18: Assisting with Elimination Module 19: Oxygenation in Nursing (See full curriculum) Who is this course for? Individuals seeking to enter the nursing profession. Professionals aiming to expand their expertise in adult healthcare. Beginners with an interest in healthcare and nursing. Those looking to understand essential nursing concepts for career development. Career Path Registered Nurse (RN) Healthcare Assistant Nurse Practitioner Adult Care Specialist Medical/Surgical Nurse Community Health Nurse Healthcare Administrator Clinical Nurse Educator

IELTS Exam Preparation Course Overview This IELTS Exam Preparation course is designed to equip learners with the essential skills needed to excel in the IELTS exam. Covering all four sections of the test—listening, reading, writing, and speaking—the course provides in-depth insights into the format and structure of the test. Learners will develop strong English language skills, ensuring they are well-prepared for each section of the exam. By the end of the course, learners will gain confidence in their ability to manage time, understand test requirements, and perform under exam conditions. With expert guidance and structured content, this course aims to help learners achieve their desired IELTS band score. Course Description This course delves into each component of the IELTS exam, helping learners understand its format and assess their strengths and weaknesses. The grammar modules focus on essential areas such as sentence structure, punctuation, and capitalisation to ensure learners can effectively communicate their ideas. The listening, reading, writing, and speaking modules are tailored to build specific skills required for each section of the exam, guiding learners through practice exercises and strategies for optimal performance. Through engaging lessons and mock tests, learners will gain a clear understanding of what is expected in the IELTS exam and how to approach each section with confidence. The course also includes practical advice on preparing for the test, managing exam stress, and performing well under timed conditions. IELTS Exam Preparation Curriculum Module 01: Introduction to IELTS Module 02: IELTS Test Format Module 03: Grammar for IELTS: Basics of Grammar Module 04: Grammar for IELTS: The Basics of Sentence Module 05: Grammar for IELTS: Structure of Sentence Module 06: Grammar for IELTS: Punctuation & Capitalisation Module 07: The Listening Section Module 08: The Reading Section [Academic] Module 09: The Writing Section [Academic] Module 10: The Speaking Section Module 11: IELTS [General Training] Module 12: IELTS Life Skills Module 13: What To Do Before The IELTS Test? Module 14: IELTS Full-length Practice Tests (See full curriculum) Who is this course for? Individuals seeking to achieve a high band score in the IELTS exam. Professionals aiming to meet English language proficiency requirements for work or study. Beginners with an interest in pursuing international education or career opportunities. Those preparing for the IELTS exam as part of their visa application process. Career Path International student in higher education. Migration consultant or advisor. Professional in need of an English language proficiency qualification. Candidate for job roles requiring IELTS certification for global organisations.

This 3 Days programme will equip you to use, price, manage and evaluate interest rate and cross-currency derivatives. The course starts with the building blocks of money markets and futures, through yield curve building to interest-rate and cross-currency swaps, and applications. The approach is hands-on and learning is enhanced through many practical exercises covering hedging, valuation, and risk management. This course also includes sections on XVA, documentation and settlement. The programme includes extensive practical exercises using Excel spreadsheets for valuation and risk-management, which participants can take away for immediate implementation.

Duration 2 Days 12 CPD hours This course is intended for Business Analysts, Technical Managers, and Programmers Overview This intensive training course helps students learn the practical aspects of the R programming language. The course is supplemented by many hands-on labs which allow attendees to immediately apply their theoretical knowledge in practice. Over the past few years, R has been steadily gaining popularity with business analysts, statisticians and data scientists as a tool of choice for conducting statistical analysis of data as well as supervised and unsupervised machine learning. What is R ? What is R? ? Positioning of R in the Data Science Space ? The Legal Aspects ? Microsoft R Open ? R Integrated Development Environments ? Running R ? Running RStudio ? Getting Help ? General Notes on R Commands and Statements ? Assignment Operators ? R Core Data Structures ? Assignment Example ? R Objects and Workspace ? Printing Objects ? Arithmetic Operators ? Logical Operators ? System Date and Time ? Operations ? User-defined Functions ? Control Statements ? Conditional Execution ? Repetitive Execution ? Repetitive execution ? Built-in Functions ? Summary Introduction to Functional Programming with R ? What is Functional Programming (FP)? ? Terminology: Higher-Order Functions ? A Short List of Languages that Support FP ? Functional Programming in R ? Vector and Matrix Arithmetic ? Vector Arithmetic Example ? More Examples of FP in R ? Summary Managing Your Environment ? Getting and Setting the Working Directory ? Getting the List of Files in a Directory ? The R Home Directory ? Executing External R commands ? Loading External Scripts in RStudio ? Listing Objects in Workspace ? Removing Objects in Workspace ? Saving Your Workspace in R ? Saving Your Workspace in RStudio ? Saving Your Workspace in R GUI ? Loading Your Workspace ? Diverting Output to a File ? Batch (Unattended) Processing ? Controlling Global Options ? Summary R Type System and Structures ? The R Data Types ? System Date and Time ? Formatting Date and Time ? Using the mode() Function ? R Data Structures ? What is the Type of My Data Structure? ? Creating Vectors ? Logical Vectors ? Character Vectors ? Factorization ? Multi-Mode Vectors ? The Length of the Vector ? Getting Vector Elements ? Lists ? A List with Element Names ? Extracting List Elements ? Adding to a List ? Matrix Data Structure ? Creating Matrices ? Creating Matrices with cbind() and rbind() ? Working with Data Frames ? Matrices vs Data Frames ? A Data Frame Sample ? Creating a Data Frame ? Accessing Data Cells ? Getting Info About a Data Frame ? Selecting Columns in Data Frames ? Selecting Rows in Data Frames ? Getting a Subset of a Data Frame ? Sorting (ordering) Data in Data Frames by Attribute(s) ? Editing Data Frames ? The str() Function ? Type Conversion (Coercion) ? The summary() Function ? Checking an Object's Type ? Summary Extending R ? The Base R Packages ? Loading Packages ? What is the Difference between Package and Library? ? Extending R ? The CRAN Web Site ? Extending R in R GUI ? Extending R in RStudio ? Installing and Removing Packages from Command-Line ? Summary Read-Write and Import-Export Operations in R ? Reading Data from a File into a Vector ? Example of Reading Data from a File into A Vector ? Writing Data to a File ? Example of Writing Data to a File ? Reading Data into A Data Frame ? Writing CSV Files ? Importing Data into R ? Exporting Data from R ? Summary Statistical Computing Features in R ? Statistical Computing Features ? Descriptive Statistics ? Basic Statistical Functions ? Examples of Using Basic Statistical Functions ? Non-uniformity of a Probability Distribution ? Writing Your Own skew and kurtosis Functions ? Generating Normally Distributed Random Numbers ? Generating Uniformly Distributed Random Numbers ? Using the summary() Function ? Math Functions Used in Data Analysis ? Examples of Using Math Functions ? Correlations ? Correlation Example ? Testing Correlation Coefficient for Significance ? The cor.test() Function ? The cor.test() Example ? Regression Analysis ? Types of Regression ? Simple Linear Regression Model ? Least-Squares Method (LSM) ? LSM Assumptions ? Fitting Linear Regression Models in R ? Example of Using lm() ? Confidence Intervals for Model Parameters ? Example of Using lm() with a Data Frame ? Regression Models in Excel ? Multiple Regression Analysis ? Summary Data Manipulation and Transformation in R ? Applying Functions to Matrices and Data Frames ? The apply() Function ? Using apply() ? Using apply() with a User-Defined Function ? apply() Variants ? Using tapply() ? Adding a Column to a Data Frame ? Dropping A Column in a Data Frame ? The attach() and detach() Functions ? Sampling ? Using sample() for Generating Labels ? Set Operations ? Example of Using Set Operations ? The dplyr Package ? Object Masking (Shadowing) Considerations ? Getting More Information on dplyr in RStudio ? The search() or searchpaths() Functions ? Handling Large Data Sets in R with the data.table Package ? The fread() and fwrite() functions from the data.table Package ? Using the Data Table Structure ? Summary Data Visualization in R ? Data Visualization ? Data Visualization in R ? The ggplot2 Data Visualization Package ? Creating Bar Plots in R ? Creating Horizontal Bar Plots ? Using barplot() with Matrices ? Using barplot() with Matrices Example ? Customizing Plots ? Histograms in R ? Building Histograms with hist() ? Example of using hist() ? Pie Charts in R ? Examples of using pie() ? Generic X-Y Plotting ? Examples of the plot() function ? Dot Plots in R ? Saving Your Work ? Supported Export Options ? Plots in RStudio ? Saving a Plot as an Image ? Summary Using R Efficiently ? Object Memory Allocation Considerations ? Garbage Collection ? Finding Out About Loaded Packages ? Using the conflicts() Function ? Getting Information About the Object Source Package with the pryr Package ? Using the where() Function from the pryr Package ? Timing Your Code ? Timing Your Code with system.time() ? Timing Your Code with System.time() ? Sleeping a Program ? Handling Large Data Sets in R with the data.table Package ? Passing System-Level Parameters to R ? Summary Lab Exercises Lab 1 - Getting Started with R Lab 2 - Learning the R Type System and Structures Lab 3 - Read and Write Operations in R Lab 4 - Data Import and Export in R Lab 5 - k-Nearest Neighbors Algorithm Lab 6 - Creating Your Own Statistical Functions Lab 7 - Simple Linear Regression Lab 8 - Monte-Carlo Simulation (Method) Lab 9 - Data Processing with R Lab 10 - Using R Graphics Package Lab 11 - Using R Efficiently

Discover the powerful schedule and cost risk analysis features of PRA. Course overview Duration: 2 days (13 hours) Our Primavera Risk Analysis course gives a detailed introduction to the schedule and risk analysis features of Primavera Risk Analysis. It shows the powerful features of the tool and give hands on practice throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Primavera Risk Analysis, and no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import schedules into PRA Add three point estimates onto plans Perform schedule and cost analysis Use templated quick risk Run risk analysis Interpret results from the Risk Histogram and Tornado graph Add task percentiles to a Gantt chart Set up a risk register Add qualitative and quantitative risks Link risk to activities in the plan Create reports Use the Distribution Analyser Content Importing schedules Importing MSP and Primavera Schedules Running import checks Checking schedule integrity Schedule risk analysis 3 point estimating Entering uncertainly Different distributions Using quick risk Updating plan Importing plans with 3 point estimates Cost/Resource uncertainty Resource loadings Creating 3 point cost estimates Resource distributions and escalations Simple cost estimates Templated quick risk Setting up and applying templated quick risk Assessing risk at WBS level Running risk analysis Running risk analysis Interpreting results on the Risk Histogram Setting analysis options Task percentiles Setting task percentile options Including task percentiles on the Gantt chart Tornado graph Creating a Tornado graph Viewing sensitivity Analysing sensitivity against activities Setting up the risk register Setting Schema levels Defining criteria and tolerances Setting up a Risk Breakdown Structure (RBS) Working with manageability and proximity Saving scoring matrices Adding custom fields Exporting data Exporting to Excel, Word and PowerPoint Qualitive risks Setting risk IDs Adding risk cause, description and effect Setting up risk details Entering mitigation actions Quantitative risks Linking risks to activities Adding schedule and cost impacts Defining how multiple risks impact Correlation Migrating your plan Adding mitigation actions to your plan as tasks Linking tasks to mitigation actions Actioning your risk register Progressing risks Importing progressed plans Linking register to progressed plans Risk history The Waterfall chart Saving and reporting Exporting the risk register Running reports Creating new reports Building and comparing risk plans Using the distribution analyser Comparing dates and cost

Learn how to use this powerful tool to import and clean data and create some amazing visuals. Course overview Duration: 2 days (13 hours) Power BI Desktop is a powerful tool for working with your data. It enables you to import multiple data sources and create effective visualisations and reports. This course is an introduction to Power BI to get you started on creating a powerful reporting capability. You should have a good working knowledge of Excel and managing data before attending. Objectives  By the end of the course you will be able to: Import data from multiple data sources Edit and transform data before importing Create reports Create different visualisations Create data models Build data relationships Use the drill down features Create measures Use the Power BI Service Build dashboards Use the mobile app Content Essentials Importing Data Power BI Overview Data sources Importing data Transforming Your Data Editing your data Setting data types Removing columns/rows Choosing columns to keep Setting header rows Splitting columns Creating Reports Creating and saving reports Adding pages Renaming pages Interactivity Refreshing your data Adding Columns Columns from example Custom columns Conditional columns Append Queries Importing folders Setting up and using append queries Creating Chart Visualisations Adding chart elements Choosing chart types Setting properties Setting values, axis and legends Using tooltips Visual filters Setting page and report filters Creating Tables, Cards, Gauges and Maps Adding table elements Adding maps Working with cards Working with matrices KPIs and Gauges Conditional Formatting Setting rules Removing conditional formatting   Working with Data Models Merge Queries Setting up and using merge queries Merging in columns of data Creating a Data Model The data model Multiple data tables Connecting tables Building relationships Relationship types Building visuals from multiple tables Unpivoting Data Working with summary data Unpivoting data Using Hierarchies Using built in hierarchies Drill down Drill up See next level Expand a hierarchy Create a new hierarchy Grouping Grouping text fields Grouping date and number fields Creating Measures DAX functions DAX syntax Creating a new measure Using quick measures Using the PowerBI Service Shared workspaces My workspace Dashboards Reports Datasets Drill down in dashboards Focus mode Using Q&A Refreshing data Using Quick Insights Power BI Mobile App Using the Power BI Mobile App

Look at some of the more advanced planning features available in Project. Course overview Duration: 1 day (6.5 hours) Our Project – Advanced Planning and Control course looks at advanced planning and resourcing techniques in Microsoft Project and how to customise your schedule to give better visibility and flexibility. The course is designed for experienced users of Project who have attended our Project Planning and Control introduction course or have equivalent knowledge. You must be confident using Project to build and resource schedules and create task dependencies. Objectives  By the end of the course you will be able to: Work with different types of task Amend resource load on a task Work with multiple resource rates Create custom tables Add custom fields Create calculated fields Add drop down lists in fields Filter and extract information Create new views Export information Content Advanced planning techniques Splitting tasks Task types Spreading work across activities Advanced resourcing techniques Resource types Assignment views Effective dates Work contours Overtime work Using multiple resource rates Creating custom tables Customising tables Adding fields Creating custom fields Adding text, number, date and time fields Using flag fields Defining pick lists Renaming custom fields Creating calculated fields Creating formulas Using graphical indicators Uploading and tracking progress Completing work Completing work per resource Updating tasks Updating the project Working with the status date Rescheduling work Viewing baseline against schedule Project overview statistics Working with filters Building standard filters Building interactive filters Task and resource filters Using highlight filters Creating custom views Creating customised views Customising text styles Using grouping techniques Exporting information Exporting to Excel

Duration 3 Days 18 CPD hours This course is intended for Report Authors Overview What is IBM Cognos Analytics ? Reporting Examine dimensionally modelled and dimensional data sources Examine personal data sources and data modules Examine List reports Aggregate measure/fact data Use shared dimensions to create multi-fact queries Add repeated information to reports Create crosstab reports Create complex crosstab reports Format, sort, and aggregate data in a crosstab report Create discontinuous crosstab reports Create Visualization reports Add business logic to reports using IBM Cognos Analytics ? Reporting Focus reports using filters Focus reports using prompts Augment reports using calculations Extend report functionality in IBM Cognos Analytics - Reporting Customize reports with conditional formatting Conditionally format one crosstab measure based on another Drill-through definitions Enhance the report layout Use additional report building techniques This offering provides Business and Professional Authors with an introduction to report building techniques using relational data models. Techniques to enhance, customize, and manage professional reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. What is IBM Cognos Analytics - Reporting? Create a simple list report Create a report from a dimensionally modeled relational data source Examine personal data sources and data modules Upload personal data Upload custom images Use navigation paths Create a report from a personal data source Examine list reports Group data in a list Format columns in a list Include headers and footers in a list Enhance a list report Aggregate measure/fact data Identify differences in aggregation Explore data aggregation Use shared dimensions to create multi-fact queries Create a multi-fact query in a list report Add repeated information to reports Create a mailing list report Create crosstab reports Add measures to a crosstab Data sources for a crosstab Create a simple crosstab report Create complex crosstab reports Add items as peers Create crosstab nodes and crosstab members Create a complex crosstab report Format, sort, and aggregate data in a crosstab Sort, format, and aggregate a crosstab report Create discontinuous crosstab reports Present unrelated items using a discontinuous crosstab Create a visualization report Create and format a visualization report Create a report that uses a Map visualization Show the same data graphically and numerically Focus reports using filters Apply filters to a report Apply a detail filter on fact data in a report Apply a summary filter to a report Focus reports using prompts Create a prompt by adding a parameter Add a value prompt to a report Add a Select & search prompt to a report Create a cascading prompt Augment reports using calculations Add calculations to a report Display prompt selections in the report title Customize reports with conditional formatting Create a multilingual report Highlight exceptional data and conditionally render a column Drill-through definitions Let users navigate to related data in IBM Cognos Analytics Enhance report layout Create a report structured on data items Create a condensed list report Use additional report building techniques Section a report and reuse objects within the same report Reuse layout components in a different report Explore options for reports that contain no data Additional course details: Nexus Humans B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) 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 B6158 IBM Cognos Analytics - Author Reports Fundamentals (v11.0.x) 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 Before taking this course delegates should already be familiar with basic analytics techniques, comfortable with basic data manipulation tools such as spreadsheets and databases and already familiar with at least one programming language Overview This course teaches delegates who are already familiar with analytics techniques and at least one programming language how to effectively use the programming language for three tasks: data manipulation and preparation, statistical analysis and advanced analytics (including predictive modelling and segmentation). Mastery of these techniques will allow delegates to immediately add value in their work place by extracting valuable insight from company data to allow better, data-driven decisions. Outcomes: After completing the course, delegates will be capable of writing production-ready R code to perform advanced analytics tasks enabling their organisations make better, data-driven decisions. Becoming a world class data analytics practitioner requires mastery of the most sophisticated data analytics tools. These programming languages are some of the most powerful and flexible tools in the data analytics toolkit. Topic 1 Intro to our chosen language Topic 2 Basic programming conventions Topic 3 Data structures Topic 4 Accessing data Topic 5 Descriptive statistics Topic 6 Data visualisation Topic 7 Statistical analysis Topic 8 Advanced data manipulation Topic 9 Advanced analytics ? predictive modelling Topic 10 Advanced analytics ? segmentation

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