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Duration 1 Days 6 CPD hours This course is intended for In this course, students will learn how to establish routines, set goals, create an efficient environment, and use time-honored planning and organizational tools to use their time more effectively. Overview Upon successful completion of this course, students will take ownership of their time management in order to achieve their goals and lead a more productive life. In this course, students will learn how to establish routines, set goals, create an efficient environment, and use time-honored planning and organizational tools to use their time more effectively. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives Setting SMART Goals The Three P's The SMART Way Prioritizing Your Goals Evaluating and Adapting The Power of Routines What is a Routine? Personal Routines Professional Routines Six Easy Ways to Simplify Your Life Scheduling Yourself The Simple Secret of Successful Time Management Developing a Tracking System Scheduling Appointments Scheduling Tasks Keeping Yourself on Top of Tasks The One-Minute Rule The Five-Minute Rule What To Do When You Feel Like You're Sinking Tackling New Tasks and Projects Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog! Using Project Management Techniques The Triple Constraint Creating the Schedule Using a RACI Chart Creating a Workspace Setting Up the Physical Layout Ergonomics 101 Using Your Computer Efficiently Organizing Files and Folders Organizing Paper Files Organizing Electronic Files Scheduling Archive and Clean-Up Managing E-Mail Using E-mail Time Wisely Taking Action! Making the Most of Your E-mail Program Taking Time Back from Handheld Devices Tackling Procrastination Why We Procrastinate Nine Ways to Overcome Procrastination Eat That Frog Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations

Whether you are new to managing, maintaining or monitoring the SCR or you want to refresh your knowledge, this three-hour masterclass will cover everything you need to know and to ensure is in place and will dispel some of the myths and confusion surrounding the SCR.

HP iMC for engineers training course description A hands on course focusing on network management using HP iMC on Microsoft Windows or UNIX. What will you learn Describe the network management architecture. Use HP NNMi. Diagnose faults using HP iMC. Recognise the MIB structure. HP iMC for engineers training course details Who will benefit: Network administrators. Network operators Those wishing to find out more about how their NMS works Anyone wishing to implement NFV using OpenStack. Prerequisites: Introduction to Virtualization Duration 2 day HP iMC for engineers training course content Network management What is network management? Benefits, issues. Getting started with HP iMC Starting HP iMC, IP discovery, IP monitoring, controlling IP discovery. Hands on Initial HP iMC configuration. Using HP iMC Viewing devices, Device view, IP view, network view, polling. Hands on Using HP iMC. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Hands on Configuring network devices for HP iMC. Parts of SNMP SNMP architecture, MIBs, The protocol. HP iMC SNMP configuration. Hands on HP iMC SNMP configuration. MIBs The MIB2 groups, additional MIBs, MIB compilers, vendor MIBs. HP iMC MIB loader and browser. Hands on MIB browsing. Monitoring devices Polling, obtaining MIB information. Hands on HP iMC performance management. Configuration and change management Configuration templates, software library, configuration compare, configuration audit and reports. Hands on Using the configuration center. Reports Report templates, Real time reports, scheduling reports. Hands on Using real time reports. HP iMC fault management Alarms, polling, fault management, setting thresholds and configuring traps. Syslog. Hands on Working with alarms. Security alarms.

Duration 4 Days 24 CPD hours This course is intended for The primary audience for this course is data professionals, data architects, and business intelligence professionals who want to learn about data engineering and building analytical solutions using data platform technologies that exist on Microsoft Azure. The secondary audience for this course includes data analysts and data scientists who work with analytical solutions built on Microsoft Azure. In this course, the student will learn how to implement and manage data engineering workloads on Microsoft Azure, using Azure services such as Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Stream Analytics, Azure Databricks, and others. The course focuses on common data engineering tasks such as orchestrating data transfer and transformation pipelines, working with data files in a data lake, creating and loading relational data warehouses, capturing and aggregating streams of real-time data, and tracking data assets and lineage. Prerequisites Successful students start this course with knowledge of cloud computing and core data concepts and professional experience with data solutions. AZ-900T00 Microsoft Azure Fundamentals DP-900T00 Microsoft Azure Data Fundamentals 1 - Introduction to data engineering on Azure What is data engineering Important data engineering concepts Data engineering in Microsoft Azure 2 - Introduction to Azure Data Lake Storage Gen2 Understand Azure Data Lake Storage Gen2 Enable Azure Data Lake Storage Gen2 in Azure Storage Compare Azure Data Lake Store to Azure Blob storage Understand the stages for processing big data Use Azure Data Lake Storage Gen2 in data analytics workloads 3 - Introduction to Azure Synapse Analytics What is Azure Synapse Analytics How Azure Synapse Analytics works When to use Azure Synapse Analytics 4 - Use Azure Synapse serverless SQL pool to query files in a data lake Understand Azure Synapse serverless SQL pool capabilities and use cases Query files using a serverless SQL pool Create external database objects 5 - Use Azure Synapse serverless SQL pools to transform data in a data lake Transform data files with the CREATE EXTERNAL TABLE AS SELECT statement Encapsulate data transformations in a stored procedure Include a data transformation stored procedure in a pipeline 6 - Create a lake database in Azure Synapse Analytics Understand lake database concepts Explore database templates Create a lake database Use a lake database 7 - Analyze data with Apache Spark in Azure Synapse Analytics Get to know Apache Spark Use Spark in Azure Synapse Analytics Analyze data with Spark Visualize data with Spark 8 - Transform data with Spark in Azure Synapse Analytics Modify and save dataframes Partition data files Transform data with SQL 9 - Use Delta Lake in Azure Synapse Analytics Understand Delta Lake Create Delta Lake tables Create catalog tables Use Delta Lake with streaming data Use Delta Lake in a SQL pool 10 - Analyze data in a relational data warehouse Design a data warehouse schema Create data warehouse tables Load data warehouse tables Query a data warehouse 11 - Load data into a relational data warehouse Load staging tables Load dimension tables Load time dimension tables Load slowly changing dimensions Load fact tables Perform post load optimization 12 - Build a data pipeline in Azure Synapse Analytics Understand pipelines in Azure Synapse Analytics Create a pipeline in Azure Synapse Studio Define data flows Run a pipeline 13 - Use Spark Notebooks in an Azure Synapse Pipeline Understand Synapse Notebooks and Pipelines Use a Synapse notebook activity in a pipeline Use parameters in a notebook 14 - Plan hybrid transactional and analytical processing using Azure Synapse Analytics Understand hybrid transactional and analytical processing patterns Describe Azure Synapse Link 15 - Implement Azure Synapse Link with Azure Cosmos DB Enable Cosmos DB account to use Azure Synapse Link Create an analytical store enabled container Create a linked service for Cosmos DB Query Cosmos DB data with Spark Query Cosmos DB with Synapse SQL 16 - Implement Azure Synapse Link for SQL What is Azure Synapse Link for SQL? Configure Azure Synapse Link for Azure SQL Database Configure Azure Synapse Link for SQL Server 2022 17 - Get started with Azure Stream Analytics Understand data streams Understand event processing Understand window functions 18 - Ingest streaming data using Azure Stream Analytics and Azure Synapse Analytics Stream ingestion scenarios Configure inputs and outputs Define a query to select, filter, and aggregate data Run a job to ingest data 19 - Visualize real-time data with Azure Stream Analytics and Power BI Use a Power BI output in Azure Stream Analytics Create a query for real-time visualization Create real-time data visualizations in Power BI 20 - Introduction to Microsoft Purview What is Microsoft Purview? How Microsoft Purview works When to use Microsoft Purview 21 - Integrate Microsoft Purview and Azure Synapse Analytics Catalog Azure Synapse Analytics data assets in Microsoft Purview Connect Microsoft Purview to an Azure Synapse Analytics workspace Search a Purview catalog in Synapse Studio Track data lineage in pipelines 22 - Explore Azure Databricks Get started with Azure Databricks Identify Azure Databricks workloads Understand key concepts 23 - Use Apache Spark in Azure Databricks Get to know Spark Create a Spark cluster Use Spark in notebooks Use Spark to work with data files Visualize data 24 - Run Azure Databricks Notebooks with Azure Data Factory Understand Azure Databricks notebooks and pipelines Create a linked service for Azure Databricks Use a Notebook activity in a pipeline Use parameters in a notebook Additional course details: Nexus Humans DP-203T00 Data Engineering on Microsoft Azure 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 DP-203T00 Data Engineering on Microsoft Azure 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.

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

THIS COURSE PACKAGE INCLUDES: 1: INTRODUCTION TO ECG COURSE - RECORDING & BASIC INTERPRETATION (GPT009) 2: ADVANCED ECG COURSE - INTERPRETATION & ANALYSIS (GPT010) Learn how to set up and record a basic ECG trace, followed by advanced analysis and interpretation FAST-TRACK YOUR ECG TRAINING WITH OUR BEGINNER TO ADVANCED TRAINING PACKAGE 20% off - Multi-Course Discount Cover all stages from Level 1 through to Level 4 (FDSc) Cover your theory training online Practical training in Classroom or Virtual Classroom Comprehensive Practise@Home training kits for VC Awards 2 accredited qualifications Dual Accreditations are awarded for all courses (Open College Network and CPD) Covers all steps required to competently set up and perform an ECG trace. Practical sessions include electrode placement on mannequin, running traces and identifying anomalies. Learn beginner to advanced skills and interpretation. Basic understanding of English language required. OPEN TO ALL APPLICANTS About these courses 1: INTRODUCTION TO ECG COURSE - RECORDING AND BASIC INTERPRETATION (GPT009) PART 1 - Theory Allow approx. 5-6 hours PART 2 - Practical Training Attend a classroom location or join us in our virtual classroom * - 3-4 hours ACCREDITED LEVEL 3 QUALIFICATION * Virtual Classroom option includes a free comprehensive Practise@Home ECG training kit. 2: ADVANCED ECG COURSE - INTERPRETATION AND ANALYSIS (GPT010) E-LEARNING - Theory Allow approx. 6-8 hours ACCREDITED LEVEL 4 QUALIFICATION OPTIONAL: GETTING STARTED IN ECG (GPT002) A free starter ECG Course (unassessed) developed to help you understand the basics of ECG recording: 3 modules in total with no Questions! If you are already familiar with ECGs then you may prefer to save time and opt out of this mini-course at booking stage. This "mini-course" is available at no charge. Learning Outcomes GPT009: Understanding different ECG equipment types ECG equipment - set-up and calibration Includes professionalism, consent, IPC and legal requirement Patient preparation How to correctly apply electrodes to limbs and chest Identify artifacts (equipment and patients Identify and recognise routine traces Identify and recognise non-routine traces Identify traces requiring urgent attention Labelling and reporting GPT010: Understand the acceptable variations within the normal ECG of healthy adults. Recognise the expected patterns of an ECG from a healthy child from birth onwards and identify abnormalities. Interpret abnormal ECG patterns in adults. Diagnose arrhythmias as an underlying cause of palpitations and syncope. Exploring sinus rhythm, extrasystoles, paroxysmal tachycardia and the importance of a physical examination. Identifying syncopal episodes attributable to cardiovascular disease as opposed to arrhythmias. Recognise ECG markers for tachycardias, bradycardias, pre-excitation syndromes, bi-fascicular block, and first-degree block with bundle branch block. Differentiate between supraventricular and ventricular extrasystoles and be able to diagnose broad complex tachycardias, ventricular flutter and fibrillation, sick sinus syndrome, and Stokes-Adams attacks. Recognise and identify symptoms associated with the causes of acute or chronic chest pain in patients who present with myocardial infarction (heart attack), pulmonary embolism, significant central pulmonary embolism, pericarditis, aortic dissection, oesophageal rupture, spinal disorders, vertebral collapse, posterior infarction, and angina. Recognise symptoms indicative of conditions such as pulmonary oedema, chest diseases, and pulmonary congestion. After the course GPT009: Safely and competently set up an ECG machine Introduce patients to the ECG test, adhering to compliancy requirements before and after testing Perform an ECG test to national guidelines Understand basic traces and their correlation to cardiac issues Recognise normal and erroneous recordings Recognise recordings that require urgent medical follow-up Complete the recording and label (or record digital copies) as per guidelines GPT010: Appreciate normal and abnormal ECG variations in the context of varying pathologies. Be able to determine whether an arrhythmia has an underlying cause that requires medical intervention. Interpret ECGs as a function of the patient's ongoing cardiac management. Understand and apply the Burce Protocol exercise test in relevant clinical situations. Know how to clinically respond to a patient with chest pain including further investigations required, pain relief, history and examination and echocardiogram. Understand and apply the fundamental principles of arrhythmia management. Understand the primary causes of heart disease and the diagnostic process. Appreciate the importance of the ECG as a diagnostic tool alongside the patient’s history and clinical presentation and recognising its limitations. Course Package Components: PACKAGE - Beginner to Advanced ECG - Virtual Classroom - INTRO - Part 1 online Part 2 Virtual Classroom (AM) + ADVANCED - E-learning

Querying Microsoft SQL Server course description This course covers the technical skills required to write basic Transact-SQL queries for Microsoft SQL Server and provides the foundation for all SQL Server-related disciplines; namely, database administration, database development and business intelligence. This course helps prepare for exam 70-761. Note: This course is designed for SQL Server 2014or SQL Server 2016. What will you learn Write SELECT statements. Create and implement views and table-valued functions. Transform data by implementing pivot, unpivot, rollup and cube. Create and implement stored procedures. Add programming constructs such as variables, conditions, and loops to T-SQL code. Querying Microsoft SQL Server course details Who will benefit: Database administrators, database developers, and business intelligence professionals. SQL power users, namely, report writers, business analysts and client application developers. Prerequisites: Database fundamentals Duration 5 days Querying Microsoft SQL Server course contents Introduction to Microsoft SQL Server Management studio, creating and organizing T-SQL scripts, using books online. Hands on working with SQL Server tools. T-SQL querying Introducing T-SQL, sets, predicate logic, logical order of operations in SELECT statements, basic SELECT statements, queries that filter data using predicates, queries that sort data using ORDER BY. Hands on introduction to T-SQL querying. Writing SELECT queries Writing simple SELECT statements, eliminating duplicates with DISTINCT, column and table aliases, simple CASE expressions. Hands on writing basic SELECT statements. Querying multiple tables cross joins and self joins, write queries that use Inner joins, write queries that use multiple-table inner joins, write queries that use self-joins, write queries that use outer joins, write queries that use cross joins. Hands on querying multiple tables. Sorting and filtering data Sorting data, filtering data with predicates, filtering data with TOP and OFFSET-FETCH, working with unknown values, WHERE clause, ORDER BY clause, TOP option, OFFSET-FETCH clause. Hands on sorting and filtering data. SQL Server data types Introducing SQL Server data types, Character data, date and time data, queries that return date and time data, write queries that use date and time functions, write queries that return character data, write queries that return character functions. Hands on working with SQL Server data types. DML Adding data to tables, modifying and removing data, generating automatic column values, Inserting records with DML, updating and deleting records using DML. Hands on using DML to modify data. Built-in functions Queries with built-in functions, conversion functions, logical functions, functions with NULL, queries that use conversion functions, queries that use logical functions, queries that test for nullability. Hands on built-in functions Grouping and aggregating data Aggregate functions, the GROUP BY clause, filtering groups with HAVING, queries that use the GROUP BY clause, queries that use aggregate functions, queries that use distinct aggregate functions, queries that filter groups with the HAVING clause. Hands on grouping and aggregating data. Subqueries Self-contained subqueries, correlated subqueries, EXISTS predicate with subqueries, scalar and multi-result subqueries. Hands on subqueries. Table expressions Views, inline table-valued functions, derived tables, common table expressions. queries that use views, write queries that use derived tables, Common Table Expressions (CTEs), write queries that se inline Table valued expressions (TVFs). Hands on table expressions. Set operators The UNION operator, EXCEPT and INTERSECT, APPLY, queries that use UNION set operators and UNION ALL, CROSS APPLY and OUTER APPLY operators. Hands on set operators. Windows ranking, offset, and aggregate functions OVER, window functions, ranking functions, offset functions, window aggregate functions. Hands on; windows ranking, offset, and aggregate functions. Pivoting and grouping sets PIVOT and UNPIVOT, grouping sets, queries that use the PIVOT operator, queries that use the UNPIVOT operator, queries that use the GROUPING SETS CUBE and ROLLUP subclauses. Hands on pivoting and grouping sets Executing stored procedures Querying data with stored procedures, passing parameters to stored procedures, simple stored procedures, dynamic SQL, the EXECUTE statement to invoke stored procedures. Hands on executing stored procedures. Programming with T-SQL T-SQL programming elements, controlling program flow, declaring variables and delimiting batches, control-of-flow elements, variables in a dynamic SQL statement, synonyms. Hands on programming with T-SQL Error handling T-SQL error handling, structured exception handling, redirect errors with TRY/CATCH, THROW to pass an error message back to a client. Hands on implementing error handling. Implementing transactions Transactions and the database engines, controlling transactions, BEGIN, COMMIT, and ROLLBACK, adding error handling to a CATCH block. Hands on implementing transactions.

Duration 4 Days 24 CPD hours This course is intended for If you're a developer with a keen interest in providing automated solutions for your organization, this certification could be a great fit for you. You automate time-consuming and repetitive tasks by using Microsoft Power Automate. You review solution requirements, create process documentation, and design, develop, deploy, integrate, troubleshoot, and evaluate solutions. Working with business stakeholders, you help to improve and automate business workflows. Overview After completing this course, students will be able to: Design RPA solutions Develop RPA solutions Deploy and manage RPA solutions Candidates for this course automate time-consuming and repetitive tasks by using Microsoft Power Automate. They review solution requirements, create process documentation, and design, develop, troubleshoot, and evaluate solutions. Candidates work with business stakeholders to improve and automate business workflows. They collaborate with administrators to deploy solutions to production environments, and they support solutions. Module 1: Get started with Power Automate for desktop Get started with Power Automate for desktop by learning about flows, creating automated steps, and flow development essentials. Module 2: Automate processes with Robotic Process Automation and Power Automate for desktop Work with Power Automate for desktop to record Windows and Web applications, but also use out of box actions such as manipulating Excel documents as part of an end to end invoice processing solution. Module 3: Work with Power Automate for desktop Work with Power Automate for desktop options, flows, recording features, conditions, loops, variables, images, and error and exception handling. Module 4: Work with different technologies in Power Automate for desktop Learn how to automate email handling, Excel, user interface, and system services with Power Automate for desktop. Module 5: Implement advanced logic in Power Automate for desktop Learn how to work with system flows, control flows, mimic mouse actions, as well as operations used to manipulate text, date, and time in Power Automate for desktop. Module 6: Build expertise with Power Automate for desktop Learn how to use Power Automate for desktop to work with Power Automate, OCR technologies, and scripting. Module 7: Build custom connectors for Power Automate This Learning Path explores custom connectors and explains how to configure them and use them with Microsoft Power Automate Module 8: Use best practices to secure and govern Microsoft Power Platform environments This module focuses on introducing Microsoft Power Platform environments and their role in creating Data Loss Prevention (DLP) policies by using examples and use cases. A brief introduction and overview of tools will also be discussed, including Microsoft Power Platform and Power Automate Admin experiences and Microsoft Power Platform Center of Excellence (COE) toolkit. Additional course details: Nexus Humans PL-500T00 Microsoft Power Automate RPA Developer 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 PL-500T00 Microsoft Power Automate RPA Developer 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.

This CISMP course and exam is for anyone wishing to progress their career in the rapidly expanding fields of Information Security, risk and cyber especially within the UK public sector.

Excel but different. Harness this most powerful tool but on a course tailored to your business and needs. Using case studies relevant to your business and often actual files your firm uses on a daily basis we embark on a voyage of discovery. This isn't a boring "watch what I do and copy" course. This is exciting, engaging, funny and enjoyable. Delegates will learn relevant skills but also, because of the delivery methods they will gain an increased enjoyment of using Excel and will retain and implement all of the material covered. They also have access to the trainer for an unlimited amount of time after the course to continue to grow their knowledge