6817 Courses in Polegate delivered Live Online

Duration 1 Days 6 CPD hours This course is intended for The target students for this course are office professionals with a foundational understanding of Adobe Acrobat Pro DC who want to use the advanced productivity features and the creative features of Acrobat Pro DC. Overview In this course you will create and manage PDF documents.Students will: ?Customize the Acrobat Pro DC workspace.?Create PDFs from technical documents.?Enhance PDF documents.?Create interactive PDF forms.?Finalize PDF files for commercial printing. In this course, students will use Adobe Acrobat Pro DC to convert technical documents to PDF files, enhance PDF documents, create interactive PDF forms, and prepare PDF files for commercial printing. Customizing the Acrobat Pro DC Workspace Customize the Toolbars Create Custom Tool Sets Creating PDFs from Technical Documents Create PDF Documents by Using Autodesk AutoCAD Measure Technical Drawings Create PDF Documents by Using Autodesk AutoCAD Embed Multimedia Enhance PDF Document Accessibility Use Actions Manage the Security of PDF Documents Creating Interactive PDF Forms Create a PDF Form Compile and Manage PDF Form Data Finalizing PDF Files for Commercial Printing Apply Color Management Settings Preview Printed Effects Perform Preflight on a PDF Document Create PDF/X, PDF/A, and PDF/E Compliant Files Create a Composite and Color Separations Export a PDF Document to Other Formats

Duration 4 Days 24 CPD hours This course is intended for This course is aimed at IT professionals who support Windows 11 desktops, devices, users, and associated network and security resources. The secondary audience for this course is Desktop/Device Support Technicians (DSTs) who provide Tier 2 support to users with computers that are running the Windows 11 operating system (OS) in a on-premises environment. Overview After completing this course, you will be able to: Install and configure Windows 11 desktops and devices in a Windows Server domain corporate environment Install and customize Windows 11 operating systems and apps Configure local and remote network connectivity and storage Configure data security, device security, and network security Maintain, update, and recover Windows 11. This is a 4-day ILT course designed to provide you with the knowledge and skills required to install and configure Windows 11 desktops and devices in an on-premises Windows Server Active Directory domain environment. Module 1: Installing Windows 11 Introducing Windows 11 Installing Windows 11 Module 2: Upgrading and updating Windows 11 Upgrading to Windows 11 Migrating user state Managing Windows 11 updates Module 3: Configuring Windows 11 devices Local configuration tools in Windows 11 Using Windows Admin Center Using Windows PowerShell Implementing Remote Management Module 4: Configuring network connectivity Configuring network connectivity Implementing name resolution Implementing remote access Module 5: Managing storage Overview of storage options Managing local storage Managing Storage Spaces Module 6: Managing resources Configuring and managing file access Configuring and managing shared folders Implementing Work Folders Managing printers Module 7: Managing apps in Windows 11 Deploying apps Managing access to the Microsoft Store Configuring Microsoft Edge Module 8: Implementing and managing security Managing user and group accounts Configuring User Account Control Implementing BitLocker Implementing Windows 11 security features Securing against network threats Module 9: Monitoring Windows 11 Monitoring Windows 11 Optimizing Windows 11 performance Module 10: Troubleshooting Windows 11 Managing Windows 11 startup Recovering Windows 11 Managing devices and drivers Understanding the registry Recovering files

Duration 5 Days 30 CPD hours This course is intended for This course is intended for both novice and experienced programmers. Some experience in C++, C# or Java is helpful. Overview After completing this course, you will be able to: Write and test JavaScript code in modern browsers. Understand and work with the browser's Document Object Model (DOM). Work DOM objects and write code to respond to events. Add jQuery to their projects and use jQuery to manipulate the DOM and to make Ajax calls. Understand Ajax and Web Services, including HTTP Verbs and asynchronous Ajax calls. Work with XML and JSON data formats. Understand and use RESTful Web Services including ODATA queries. Work with Anonymous Functions, Self-Invoking Functions and Closures. Understand the role of the Window and Navigator objects. Describe and understand variables, 'variable hoisting', and JavaScript objects. This course is an in depth hands-on study of JavaScript. The course includes detailed hands-on labs and Q&A labs. The labs include multiple projects that update an existing web site. This course is similar to the retired Course 20480: Programming in HTML5 with JavaScript and CSS3. Module 1: Basic Scripting JavaScript Basics JavaScript or ECMAScript? Which Version of JavaScript am I Using? Shims, Shivs, and Polyfills Writing and Testing JavaScript Editors and the F12 Tools Key Parts of a Script Module 2: The Document Object Model The DOM Accessing Objects from the DOM Responding to Events Adding Elements to the DOM Module 3: Introduction to jQuery jQuery Downloading the jQuery Library jQuery Versions Linking to the Library Selecting Elements using jQuery Working with the Data Returned by jQuery Setting CSS Properties Running a Function Against the jQuery Return Set Module 4: Ajax and Web Services Web Services HTTP Verbs Data Formats ? XML and JSON Ajax RESTful Web Services OData OData Queries OData Updates Module 5: Diving in Deeper Is JavaScript Compiled? Data Types and Objects Extending Data Types Variables, Scopes and Hoisting Functions The ?this? Keyword Errors Recursion

Duration 3 Days 18 CPD hours This course is intended for This course is intended for both novice and experienced project managers, managers, schedulers, and other project stake holders who need to incorporate the discipline of project management with Microsoft Project 2016. Overview ?Understand the discipline of project management as it applies to using Microsoft Project 2016.?Create a Work Breakdown Structure.?Identify Task Types & Relationships.?Define Resources within Project.?Make Work Package Estimates.?Create an Initial Schedule.?Create a Resource Leveled Schedule.?Create Projects from templates, Excel files.?Create Global templates.?Create formulas and graphical indicators.?The steps to record a macro.?Format Output and Print Reports.?Integrate Multiple Projects.?Set up a Project with a Calendar, Start date, and scheduling method.?Understand Manually Schedule vs. Auto Schedule.?Manage multiple projects.?Be able to create a master project list with shared resources. The course begins with the basic concepts and leads students through all the functions they?ll need to plan and manage a small to medium-size project, including how to level resources and capture both cost and schedule progress. Introduction to Microsoft Project Describe how Project relates to the discipline of Project management. Learn what the new features are in Project 2016. Navigate to the primary views available using the Ribbon. Choose Views that display task, resource, or assignment information. Select table within views to change the information that is available to see and edit. Relate the features of Project to the 5 steps for building a plan in Project. Lab 1: Introduction to Mastering Microsoft Project A Quick and Easy Overview of Managing with Project Create a new project and prepare it for data entry. Enter project tasks. Sequence the tasks. Define resources. Estimate Task duration and assign resources. Baseline the project. Track project progress. Lab 1: Creating a Basic Project with a template Lab 2: Creating a Basic Project Setting Up a Project Use multiple methods to create a new project from an Excel file and a SharePoint Tasks list. Establish one or more calendars to constrain resource availability. Configure Project to calculate the schedule from the Start Date forward, or from the Finish Date backward. Lab 1: Setting Up a Project Manually Schedule vs. Auto Schedule Students practice switching tasks between Manually Schedule and Auto Schedule modes. By switching modes, students learn the impact made on the project schedule and the individual tasks. Lab 1: Explore Task Modes Creating a Work Breakdown Structure Build and use summary and subordinate tasks. Understand and use milestones. Develop WBS Outlines. Assign completion criteria. Evaluate the WBS. Understand and use WBS templates. Lab 1: Manipulate a WBS Lab 2: Supporting the Project Plan Identifying Task Relationships Understand the different types of task relationships. Understand and use various methods to create relationships. Determine and display task sequence. Understand and use lag, lead, and delay. Understand the new feature of Task Paths. Lab 1: Display the sequence Defining Resources within Project Define resource types. Define individual resources that will be used on the project. Record the cost (s) of using each type of resource. Record the limit of availability for each type of resource by establishing a resource calendar and defining the maximum units of that resource. Lab 1: Resource Calendar and Availability Making Work Package Estimates Enter estimates for duration and costs for each task. Distinguish between task types and describe when each is appropriate. Describe the relationship between work, units, and duration. Describe the way Effort Driven scheduling is affected by work, units, and duration. Assign tasks to resources using the Team Planner view. Lab 1: Work, Duration and Labor Creating an Initial Schedule Calculate float and identify a project?s critical path. Understand and identify task constraints. Create milestones. Use the Task Inspector to troubleshoot the initial schedule. Lab 1: Calculating an Initial schedule Create a Resource Leveled Schedule Adjust a project schedule to account for limited people and other resources. View the overall cost and schedule of a project. Identify resources that have been over allocated for a project schedule. Use multiple ways to adjust tasks and assignments to remove over allocation for any resource. Lab 1: Resource Leveling Managing the Project Learn how to set a baseline. Lean how to enter and track project performance data. Learn how to apply different tracking methods. Learn how to perform a variance analysis on a project. Lab 1: The Baseline Lab 2: Baselining & Tracking Performance Lab 3: Variance Formatting Output and Printing Reports Print Views Formats Sorting Filtering Grouping Custom Fields Reporting Other File Formats Lab 1: Use the Grouping Feature Lab 2: Create Reports in Project Managing Multiple Projects Learn how to use common resources among multiple projects. Learn how to link tasks between multiple projects. Learn how to create a consolidated view of multiple projects. Lab 1: Identifying Over allocated Resources from a Resource Pool and Consolidated File Advanced Topics Learn how to customize the Ribbon and the Quick Access Toolbar. Learn how to customize WBS numbering. Learn the concepts of Formulas and Graphical indicators. Learn the purpose of the Global template and Organizer. Learn how to use Task Deadlines. Learn how to record a Macro. Lab 1: Recording a Macro in Project Summary Learn how to access the Office App Store. Additional course details: Nexus Humans 55205 Mastering Microsoft Project 2016 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 55205 Mastering Microsoft Project 2016 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

Duration 1 Days 6 CPD hours This course is intended for Professionals in a variety of fields who are seeking improved time-management skills, so that they can meet their long-term goals and perform more effectively will benefit from this course. Overview State your goals. Analyze how you are currently allocating your most precious resources: energy and time. Identify elements of your personal work style that contribute to your effective use of time. Assemble a collection of time-management tools and strategies that you can use to take control of your time. Create an action plan for your time-management process and identify ways to evaluate and improve your efforts. Time is a form of currency, and the ways you talk about it illustrate its value: people say ?Time is money,? and ?My time was well spent,? or ?It's a waste of time.? Like most professionals, you've probably struggled with managing time effectively. In this course, you will acquire day-to-day time-management tools that will help you more effectively use your time so you can direct your energy towards fulfilling your short- and long-term professional and personal goals. Your time is a precious and limited resource. Too often, you may feel frustrated that there aren't enough hours in the day to accomplish everything you hope to do. Effective time managers enjoy the satisfaction of directing their talents and energy towards productive, goal-centered activities. Private classes on this topic are available. We can address your organization?s issues, time constraints, and save you money, too. Contact us to find out how. Prerequisites To ensure your success, we recommend you have some level of work experience in any of a variety of organizational settings, and general end-user computer and Internet skills. 1. Defining Goals Define Time Management Describe Your Dreams Identify Regrets State Goals 2. Analyzing Energy Allocation Create a Time Long Analyze Tasks Analyze Time Usage Analyze Energy Flow 3. Identifying Personal Style Review a Successful Day or Project Analyze Your Preferences Identify Personal Strengths Identify Personal Motivators Reduce Time Wasters 4. Assembling the Toolbox Negotiate for Success Delegate Tasks Choose Tools that Work for You 5. Creating a Time-Management Action Plan Create the Action Plan Evaluate the Time-Management Process Additional course details: Nexus Humans Effective Time Management 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 Effective Time Management course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for The audience for this course is data professionals and data architects who want to learn about migrating data platform technologies that exist on Microsoft Azure and how existing SQL based workloads can be migrated and modernized. The secondary audience for this course is individuals who manage data platforms or develop applications that deliver content from the existing data platform technologies. Overview Understand Data Platform Modernization Choose the right tools for Data Migration Migrate SQL Workloads to Azure Virtual Machines Migrate SQL Workloads to Azure SQL Databases Migrate SQL Workloads to Azure SQL Database Managed Instance In this course, the students will explore the objectives of data platform modernization and how it is suitable for given business requirements. They will also explore each stage of the data platform modernization process and define what tasks are involved at each stage, such as the assessment and planning phase. Students will also learn the available migration tools and how they are suitable for each stage of the data migration process. The student will learn how to migrate to the three target platforms for SQL based workloads; Azure Virtual Machines, Azure SQL Databases and Azure SQL Database Managed Instances. The student will learn the benefits and limitations of each target platform and how they can be used to fulfil both business and technical requirements for modern SQL workloads. The student will explore the changes that may need to be made to existing SQL based applications, so that they can make best use of modern data platforms in Azure. Introducing Data Platform Modernization Understand Data Platform Modernization Understanding the stages of migration Data Migration Paths Choose the right tools for Data Migration Discover the Database Migration Guide Build your data estate inventory using Map Toolkit Identify Migration candidates using Data Migration Assistant Evaluate a Data workload using Database Experimentation Assistant Data Migration using Azure Database Migration Service Migrate non-SQL Server workloads to Azure using SQL Migration Assistant Migrating SQL Workloads to Azure Virtual Machines Considerations of SQL Server to Azure VM Migrations SQL Workloads to Azure VM Migration Options Implementing High Availability and Disaster Recovery Scenarios Migrate SQL Workloads to Azure SQL Databases Choose the right SQL Server Instance option in Azure Migrate SQL Server to Azure SQL DB offline Migrate SQL Server to Azure SQL DB online Load and Move data to Azure SQL Database Migrate SQL Workloads to Azure SQL Database Managed Instance Evaluate migration scenarios to SQL Database Managed Instance Migrate to SQL Database Managed instance Load and Move data to SQL Database Managed instance Application Configuration and Optimization

Duration 0.5 Days 3 CPD hours This course is intended for Individuals and organizations seeking a foundational understanding of DevOps Overview Please refer to Overview This course brings a high-level understanding of DevOps, the cultural and professional movement that stresses communication, collaboration, integration, and automation to improve the flow of work between software developers and IT operations professionals. Course introductionWhat is DevOps? Why Now?Emerging DevOps PracticesCultureAutomationLeanMeasurement and MetricsSharingGetting Started: Implementing DevOpsNext Steps

Duration 1 Days 6 CPD hours This course is intended for This course is intended for: Developers responsible for developing Deep Learning applications Developers who want to understand concepts behind Deep Learning and how to implement a Deep Learning solution on AWS Overview This course is designed to teach you how to: Define machine learning (ML) and deep learning Identify the concepts in a deep learning ecosystem Use Amazon SageMaker and the MXNet programming framework for deep learning workloads Fit AWS solutions for deep learning deployments In this course, you?ll learn about AWS?s deep learning solutions, including scenarios where deep learning makes sense and how deep learning works. You?ll learn how to run deep learning models on the cloud using Amazon SageMaker and the MXNet framework. You?ll also learn to deploy your deep learning models using services like AWS Lambda while designing intelligent systems on AWS. Module 1: Machine learning overview A brief history of AI, ML, and DL The business importance of ML Common challenges in ML Different types of ML problems and tasks AI on AWS Module 2: Introduction to deep learning Introduction to DL The DL concepts A summary of how to train DL models on AWS Introduction to Amazon SageMaker Hands-on lab: Spinning up an Amazon SageMaker notebook instance and running a multi-layer perceptron neural network model Module 3: Introduction to Apache MXNet The motivation for and benefits of using MXNet and Gluon Important terms and APIs used in MXNet Convolutional neural networks (CNN) architecture Hands-on lab: Training a CNN on a CIFAR-10 dataset Module 4: ML and DL architectures on AWS AWS services for deploying DL models (AWS Lambda, AWS IoT Greengrass, Amazon ECS, AWS Elastic Beanstalk) Introduction to AWS AI services that are based on DL (Amazon Polly, Amazon Lex, Amazon Rekognition) Hands-on lab: Deploying a trained model for prediction on AWS Lambda Additional course details: Nexus Humans Deep Learning on AWS 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 Deep Learning on AWS 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 class is intended for experienced developers who are responsible for managing big data transformations including: Extracting, loading, transforming, cleaning, and validating data. Designing pipelines and architectures for data processing. Creating and maintaining machine learning and statistical models. Querying datasets, visualizing query results and creating reports Overview Design and build data processing systems on Google Cloud Platform. Leverage unstructured data using Spark and ML APIs on Cloud Dataproc. Process batch and streaming data by implementing autoscaling data pipelines on Cloud Dataflow. Derive business insights from extremely large datasets using Google BigQuery. Train, evaluate and predict using machine learning models using TensorFlow and Cloud ML. Enable instant insights from streaming data Get hands-on experience with designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hand-on labs to show you how to design data processing systems, build end-to-end data pipelines, analyze data, and implement machine learning. This course covers structured, unstructured, and streaming data. Introduction to Data Engineering Explore the role of a data engineer. Analyze data engineering challenges. Intro to BigQuery. Data Lakes and Data Warehouses. Demo: Federated Queries with BigQuery. Transactional Databases vs Data Warehouses. Website Demo: Finding PII in your dataset with DLP API. Partner effectively with other data teams. Manage data access and governance. Build production-ready pipelines. Review GCP customer case study. Lab: Analyzing Data with BigQuery. Building a Data Lake Introduction to Data Lakes. Data Storage and ETL options on GCP. Building a Data Lake using Cloud Storage. Optional Demo: Optimizing cost with Google Cloud Storage classes and Cloud Functions. Securing Cloud Storage. Storing All Sorts of Data Types. Video Demo: Running federated queries on Parquet and ORC files in BigQuery. Cloud SQL as a relational Data Lake. Lab: Loading Taxi Data into Cloud SQL. Building a Data Warehouse The modern data warehouse. Intro to BigQuery. Demo: Query TB+ of data in seconds. Getting Started. Loading Data. Video Demo: Querying Cloud SQL from BigQuery. Lab: Loading Data into BigQuery. Exploring Schemas. Demo: Exploring BigQuery Public Datasets with SQL using INFORMATION_SCHEMA. Schema Design. Nested and Repeated Fields. Demo: Nested and repeated fields in BigQuery. Lab: Working with JSON and Array data in BigQuery. Optimizing with Partitioning and Clustering. Demo: Partitioned and Clustered Tables in BigQuery. Preview: Transforming Batch and Streaming Data. Introduction to Building Batch Data Pipelines EL, ELT, ETL. Quality considerations. How to carry out operations in BigQuery. Demo: ELT to improve data quality in BigQuery. Shortcomings. ETL to solve data quality issues. Executing Spark on Cloud Dataproc The Hadoop ecosystem. Running Hadoop on Cloud Dataproc. GCS instead of HDFS. Optimizing Dataproc. Lab: Running Apache Spark jobs on Cloud Dataproc. Serverless Data Processing with Cloud Dataflow Cloud Dataflow. Why customers value Dataflow. Dataflow Pipelines. Lab: A Simple Dataflow Pipeline (Python/Java). Lab: MapReduce in Dataflow (Python/Java). Lab: Side Inputs (Python/Java). Dataflow Templates. Dataflow SQL. Manage Data Pipelines with Cloud Data Fusion and Cloud Composer Building Batch Data Pipelines visually with Cloud Data Fusion. Components. UI Overview. Building a Pipeline. Exploring Data using Wrangler. Lab: Building and executing a pipeline graph in Cloud Data Fusion. Orchestrating work between GCP services with Cloud Composer. Apache Airflow Environment. DAGs and Operators. Workflow Scheduling. Optional Long Demo: Event-triggered Loading of data with Cloud Composer, Cloud Functions, Cloud Storage, and BigQuery. Monitoring and Logging. Lab: An Introduction to Cloud Composer. Introduction to Processing Streaming Data Processing Streaming Data. Serverless Messaging with Cloud Pub/Sub Cloud Pub/Sub. Lab: Publish Streaming Data into Pub/Sub. Cloud Dataflow Streaming Features Cloud Dataflow Streaming Features. Lab: Streaming Data Pipelines. High-Throughput BigQuery and Bigtable Streaming Features BigQuery Streaming Features. Lab: Streaming Analytics and Dashboards. Cloud Bigtable. Lab: Streaming Data Pipelines into Bigtable. Advanced BigQuery Functionality and Performance Analytic Window Functions. Using With Clauses. GIS Functions. Demo: Mapping Fastest Growing Zip Codes with BigQuery GeoViz. Performance Considerations. Lab: Optimizing your BigQuery Queries for Performance. Optional Lab: Creating Date-Partitioned Tables in BigQuery. Introduction to Analytics and AI What is AI?. From Ad-hoc Data Analysis to Data Driven Decisions. Options for ML models on GCP. Prebuilt ML model APIs for Unstructured Data Unstructured Data is Hard. ML APIs for Enriching Data. Lab: Using the Natural Language API to Classify Unstructured Text. Big Data Analytics with Cloud AI Platform Notebooks What's a Notebook. BigQuery Magic and Ties to Pandas. Lab: BigQuery in Jupyter Labs on AI Platform. Production ML Pipelines with Kubeflow Ways to do ML on GCP. Kubeflow. AI Hub. Lab: Running AI models on Kubeflow. Custom Model building with SQL in BigQuery ML BigQuery ML for Quick Model Building. Demo: Train a model with BigQuery ML to predict NYC taxi fares. Supported Models. Lab Option 1: Predict Bike Trip Duration with a Regression Model in BQML. Lab Option 2: Movie Recommendations in BigQuery ML. Custom Model building with Cloud AutoML Why Auto ML? Auto ML Vision. Auto ML NLP. Auto ML Tables.