18215 Courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Security Engineers Network Engineers Overview Upon completion of this course, students will be able to: Deploy gateways using the Gaia web interface Configure a Security Policy Learn about managing and monitoring a secure network Upgrade and configure a Security Gateway to implement a virtual private network for both internal and external, remote users The growing frequency and sophistication of security threats makes protecting your organization more difficult every year. Check Point?s integrated products provide end-to-end security from the enterprise to the cloud to your mobile worker?s personal devices. They prevent and mitigate cyberattacks and limit the data theft that often results from these threats. Introduction to Check Point TechnologyDeployment PlatformsIntroduction to the Security PolicyMonitoring Traffic & ConnectionsNetwork Address TranslationUsing SmartUpdateUser Management & AuthenticationIdentity AwarenessIntroduction to Check Point VPNsSmartLog

Duration 3 Days 18 CPD hours This course is intended for Security Engineers Network Engineers Overview Upon completion of this course, students will be able to: Deploy gateways using the Gaia web interface Configure a Security Policy Learn about managing and monitoring a secure network Upgrade and configure a Security Gateway to implement a virtual private network for both internal and external, remote users The growing frequency and sophistication of security threats makes protecting your organization more difficult every year. Check Point?s integrated products provide end-to-end security from the enterprise to the cloud to your mobile worker?s personal devices. They prevent and mitigate cyberattacks and limit the data theft that often results from these threats. Introduction to Check Point TechnologyDeployment PlatformsIntroduction to the Security PolicyMonitoring Traffic & ConnectionsNetwork Address TranslationUsing SmartUpdateUser Management & AuthenticationIdentity AwarenessIntroduction to Check Point VPNsSmartLog

Duration 2 Days 12 CPD hours This course is intended for Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Overview The first day of the TOGAF Foundation Level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. The second day is devoted to going through an architectural process based on a case, in which the concepts discussed the previous day are reviewed again, but this time in context. In this way you obtain a clear and clear picture of TOGAF and the mostly theoretical and abstract material is presented in a digestible way. The TOGAF Foundation level 1 training will focus on the concepts of Enterprise Architecture and its position in order to extensively consider the concepts of TOGAF and the relationship between them. Part 1 Introduction Introduction Enterprise Architecture Position Enterprise Architecture Introduction TOGAF Overview of TOGAF concepts Architecture Capability Framework Architecture Development Method (ADM) Guidelines & Techniques Enterprise Continuity & Tools Reference Models Architecture Content Framework preliminary phase Phase A Architecture Vision' Phase B Business Architecture Phase C Information Systems Architecture Phase D Technology Architecture Phase E: Opportunities & Solutions Phase F: Migration Planning Phase G: Implementation Governance Phase H: Architecture Change Management Architects and specialists who are involved in a form of Enterprise Architecture, such as; business, application, data, technology, management and security architecture. Managers in the role of Project-, Operational- and Senior-Manager. Part 2 TOGAF Concepts Part 3 Going through a TOGAF Cycle Additional course details: Nexus Humans TOGAF 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 TOGAF 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 The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview Overview of data science and machine learning at scale Overview of the Hadoop ecosystem Working with HDFS data and Hive tables using Hue Introduction to Cloudera Data Science Workbench Overview of Apache Spark 2 Reading and writing data Inspecting data quality Cleansing and transforming data Summarizing and grouping data Combining, splitting, and reshaping data Exploring data Configuring, monitoring, and troubleshooting Spark applications Overview of machine learning in Spark MLlib Extracting, transforming, and selecting features Building and evaluating regression models Building and evaluating classification models Building and evaluating clustering models Cross-validating models and tuning hyperparameters Building machine learning pipelines Deploying machine learning models Spark, Spark SQL, and Spark MLlib PySpark and sparklyr Cloudera Data Science Workbench (CDSW) Hue This workshop covers data science and machine learning workflows at scale using Apache Spark 2 and other key components of the Hadoop ecosystem. The workshop emphasizes the use of data science and machine learning methods to address real-world business challenges. Using scenarios and datasets from a fictional technology company, students discover insights to support critical business decisions and develop data products to transform the business. The material is presented through a sequence of brief lectures, interactive demonstrations, extensive hands-on exercises, and discussions. The Apache Spark demonstrations and exercises are conducted in Python (with PySpark) and R (with sparklyr) using the Cloudera Data Science Workbench (CDSW) environment. The workshop is designed for data scientists who currently use Python or R to work with smaller datasets on a single machine and who need to scale up their analyses and machine learning models to large datasets on distributed clusters. Data engineers and developers with some knowledge of data science and machine learning may also find this workshop useful. Overview of data science and machine learning at scaleOverview of the Hadoop ecosystemWorking with HDFS data and Hive tables using HueIntroduction to Cloudera Data Science WorkbenchOverview of Apache Spark 2Reading and writing dataInspecting data qualityCleansing and transforming dataSummarizing and grouping dataCombining, splitting, and reshaping dataExploring dataConfiguring, monitoring, and troubleshooting Spark applicationsOverview of machine learning in Spark MLlibExtracting, transforming, and selecting featuresBuilding and evauating regression modelsBuilding and evaluating classification modelsBuilding and evaluating clustering modelsCross-validating models and tuning hyperparametersBuilding machine learning pipelinesDeploying machine learning models Additional course details: Nexus Humans Cloudera Data Scientist Training training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Cloudera Data Scientist Training course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for Project team members In this course, students learn how to successfully set up functions and customizing settings for pricing in Sales and Distribution. Course Outline Condition technique for definition and maintenance of prices, surcharges and discounts Creating condition tables, access sequences, and condition types Using prices and other conditions in sales documents Promotions and sales deals Introduction to rebate processing

Duration 3 Days 18 CPD hours This course is intended for Project team members & Consultants In this course, students become familiar with logistics invoice verification as the final stage in the external procurement process. Students also learn how to enter invoices relating to purchase orders, block them, and release them for payment. Course Outline Introduction to invoice verification Invoice entry and parking Taxes, cash discounts, and foreign currency Invoices for purchase orders with account assignment Variances with and without reference to an item, invoice blocking reasons Invoice reduction, releasing blocked invoices Delivery costs Subsequent debits and credits Credit memos and cancellations Invoice verification in the background Automated processing GR/IR clearing account maintenance Customizing for invoice verification

Duration 2 Days 12 CPD hours This course is intended for Applications consultants, business analysts, business process owners, developer consultants, help desk consultants, project managers, and technology consultants. Overview This course will prepare you to: Give an overview of the S/4HANA embedded analytics architecture Explain the analytical offerings per user type Give an Introduction to SAP Best Practices for Analytics with SAP S/4HANA Explain the integration scenarios with SAP Business Warehouse In this course, students will gain an overview of the S/4HANA embedded analytics real-time operational reporting, its offerings per user type for the S/4HANA 610 and its integration with SAP Business Warehouse. Module 1 S/4HANA and S/4HANA embedded analytics introduction Module 2 S/4HANA embedded analytics architecture overview Module 3 Analytical Consumption Module 4 SAP Best Practices for Analytics with SAP S/4HANA Module 5 SAP Business Warehouse Integration Scenarios

Duration 1 Days 6 CPD hours This course is intended for To ensure success, students will need to be familiar with using personal computers and should have experience using a keyboard and mouse. Students should also be comfortable working in the Windows 10 environment and be able to manage information on their computers. Overview Upon successful completion of this course, you will be able to understand how Office 365 might be used to increase productivity and collaboration within your organization. This course is intended for students who wish to be introduced to Office 365. This course aims to provide an overview of 365, its applications and tools. Getting Started with Office 365 An Introduction to Office 365 Navigate the Online User Interface Your Account, Personal Profile, Apps Use Help Personal Communications Outlook, Calendar and People Outlook Online Essentials Online Calendar Essentials People Online Essentials Information and File Sharing OneDrive for Business Overview SharePoint Online Overview Creating and Co-authoring using Online Apps Team Communications Skype for Business Yammer

Duration 3 Days 18 CPD hours This course is intended for Developers & Developer Consultants Overview To discuss the role of the ABAP Dictionary in the SAP system and its scope of functions. This course discusses the role of the ABAP Dictionary in the SAP system and its scope of functions. Introduction to the ABAP Dictionary Describing the ABAP Dictionary Data Types in the ABAP Dictionary Creating Domains and Data Elements Creating Flat Structures Creating Table Types and Deep Structures Creating Type Groups Database Tables Creating Transparent Tables Defining Cluster Tables and Pooled Tables Performance During Table Access Creating Database Table Indexes Setting Up Table Buffering Input Checks Creating Fixed Values Defining Foreign Keys to Perform Input Checks Creating Text Tables Dictionary Object Dependencies Differentiating Between Active and Inactive Dictionary Objects Identifying Dependencies with ABAP Dictionary Objects Table Changes Performing a Table Conversion Enhancing Tables Using Append Structures Views and Maintenance Views Creating Database Views Creating Maintenance Views Creating View Clusters Search Helps Creating Search Helps Applying Advanced Search Help Techniques

Duration 1 Days 6 CPD hours This course is intended for This course is designed for data scientists with experience of Python who need to learn how to apply their data science and machine learning skills on Azure Databricks. Overview After completing this course, you will be able to: Provision an Azure Databricks workspace and cluster Use Azure Databricks to train a machine learning model Use MLflow to track experiments and manage machine learning models Integrate Azure Databricks with Azure Machine Learning Azure Databricks is a cloud-scale platform for data analytics and machine learning. In this course, students will learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning. Introduction to Azure Databricks Getting Started with Azure Databricks Working with Data in Azure Databricks Training and Evaluating Machine Learning Models Preparing Data for Machine Learning Training a Machine Learning Model Managing Experiments and Models Using MLflow to Track Experiments Managing Models Managing Experiments and Models Using MLflow to Track Experiments Managing Models Integrating Azure Databricks and Azure Machine Learning Tracking Experiments with Azure Machine Learning Deploying Models