18875 Introduction To Construction 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

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Understanding a buildings heat loss for heating engineers

Hypnotherapy, by its very own evidence, is a time served intervention that helps individuals who want and need to change their way of thinking or being. It can change patterns of behaviour that are detrimental, allowing for the freedom to think and feel differently. When I first started using the hypnotherapy techniques, I was amazed at how well it worked for so many. Clients who were previously smoking forty cigarettes per day, just quit! People who were scared of irrational objects were just suddenly unafraid. I trained in this intervention for one reason only, and that was to learn about Hypno-analysis, which I had hoped, would be perfect for working with clients who were so deeply traumatised, (mostly from adverse childhood experiences). Being able to go back to the place of their trauma, helped them to see that the depth of pain and hurt could be lessened, leaving them with much less of an impact in their current life.

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