39 Key Performance Indicators (KPIs) courses in Wilmslow delivered Live Online

LTE optimization training course description This course gives delegates an understanding of the Key Performance Indicators used within the 3G LTE (4G) network environment. We investigate the 3GPP standards for KPIs (including TR 32.814, TS 32.410 & TS 32.455) these cover GERAN, UMTS & LTE environments. The course details the optimisation procedures and the use of Self optimisation, Selforganising & Self-healing equipment now being deployed across all releases of mobile networks. What will you learn Explain the RF optimisation flowchart. Describe the importance of Reference Signal Received Power (RSRP). List many of the 3GPP recommended KPIs. Describe the concept of APN AMBR and UE AMBR within LTE. Describe the use of planning and optimisation computer tools. LTE optimization training course details Who will benefit: Anyone working with LTE. Prerequisites: Essential LTE Duration 2 days LTE optimization training course contents Introduction to the cellular environment The architecture, 2G (GSM), GPRS/EDGE, The NGMN (Next Generation Mobile Network), media gateway controller, 3GPP Rel99 the 3G introduction, HSPA deployments, 3G LTE (4G). Cellular network procedures GSM/GPRS call setup, GPRS data call setup, 3G UMTS data call setup, Data call (Voice over LTE) in LTE (using IMS), Circuit Switched Fall Back (CSFB) in LTE, IP packet session in LTE. Introduction to the standards The 3GPP specifications body, The numbering structure for KPIs, 2G KPIs, 3G/UMTS KPIs, 3G LTE KPIs, IMS KPIs. Introduction to the KPI definitions KPI definitions, accessibility KPIs, retainability KPIs, mobility KPIs, utilisation KPIs. In-depth overview of the air Interfaces GSM/GPRS FDMA & TDMA solution, 3G UMTS WCDMA solution, HSPA+ sharing spare power (Codes), The 3G LTE uplink & downlink interface explained, Initial attach procedures explained. Problem analysis Reference Signal Received Power (RSRP), Signal to Interference Noise Ratio (SINR), handover success rates, power adjustments, classification of coverage problems, weak coverage & coverage holes, lack of dominant cells, cross coverage, improper tilt settings, uplink/downlink imbalance, signal quality, Azimuths & tilts to reduce interference, Handover failure due to interference, Service drop causes. Mobile RF performance in 2G/3G Performance counters, KPIs, testing & measurement, Drive testing and survey, Data collection and post processing of data, LTE service optimization, bandwidth, poor coverage, Quality, optimization process, KPI optimization, Root Cause Analysis (RCA) applied to RF issues, optimization tools and software. Advanced LTE network planning & optimization LTE UE measurements (RSRP/RSRQ), LTE capacity planning, RF configuration parameters, LTE cell selection/reselection planning, LTE radio network KPIs, LTE user-centric KPIs, LTE network performance KPIs, LTE system utilization KPIs, LTE RF channel performance predictions, LTE channel information processing, LTE channel multiplexing, Physical layer and structure, MIMO in LTE, LTE resource plan LTE and Self-Organizing Networks (SON). Radio network optimization work flow Work flow, the existing network, Optimization team establishment and cluster division, Single site verification, Alarm check, Cell state check, Radio parameters check, Site verification, Statistics analysis, Coverage problem analysis. Mobile internet and QoS issues Cellular QoS reference models. How QoS impact on KPIs and measurements, Introduction to mobile internet, The concept of shared access technologies, Support for QoS in the WCDMA environment, The PDP context model, Supporting end-to-end QoS, EPS bearer concepts, Default EPS bearer, Dedicated EPS bearer, APN-AMBR, UE-AMBR.

Duration 3 Days 18 CPD hours This course is intended for This course is ideal for Professionals preparing to become CRISC certified. Risk practitioners Students or recent graduates Overview At course completions, students will understand the essential concepts in the 4 ISACA CRISC domains: Governance IT Risk Assessment Risk Response and Reporting Information Technology and Security This 3 Day CRISC course is geared towards preparing students to pass the ISACA Certified in Risk and Information Systems Control examination. The course covers all four of the CRISC domains, and each section corresponds directly to the CRISC job practice. CRISC validates your experience in building a well-defined, agile risk-management program, based on best practices to identify, analyze, evaluate, assess, prioritize and respond to risks. This enhances benefits realization and delivers optimal value to stakeholders. GOVERNANCE - a. Organizational Governance Organizational Strategy, Goals, and Objectives Organizational Structure, Roles, and Responsibilities Organizational Culture Policies and Standards Business Processes Organizational Assets GOVERNANCE - b. Risk Governance Enterprise Risk Management and Risk Management Framework Three Lines of Defense Risk Profile Risk Appetite and Risk Tolerance Legal, Regulatory, and Contractual Requirements Professional Ethics of Risk Management IT RISK ASSESSMENT - a. IT Risk Identification Risk Events (e.g., contributing conditions, loss result) Threat Modelling and Threat Landscape Vulnerability and Control Deficiency Analysis (e.g., root cause analysis) Risk Scenario Development IT RISK ASSESSMENT - b. IT Risk Analysis and Evaluation Risk Assessment Concepts, Standards, and Frameworks Risk Register Risk Analysis Methodologies Business Impact Analysis Inherent and Residual Risk RISK RESPONSE AND REPORTING - a. Risk Response Risk Treatment / Risk Response Options Risk and Control Ownership Third-Party Risk Management Issue, Finding, and Exception Management Management of Emerging Risk RISK RESPONSE AND REPORTING - b. Control Design and Implementation Control Types, Standards, and Frameworks Control Design, Selection, and Analysis Control Implementation Control Testing and Effectiveness Evaluation RISK RESPONSE AND REPORTING - c. Risk Monitoring and Reporting Risk Treatment Plans Data Collection, Aggregation, Analysis, and Validation Risk and Control Monitoring Techniques Risk and Control Reporting Techniques (heatmap, scorecards, dashboards) Key Performance Indicators Key Risk Indicators (KRIs) Key Control Indicators (KCIs) INFORMATION TECHNOLOGY AND SECURITY - a. Information Technology Principles Enterprise Architecture IT Operations Management (e.g., change management, IT assets, problems, incidents) Project Management Disaster Recovery Management (DRM) Data Lifecycle Management System Development Life Cycle (SDLC) Emerging Technologies INFORMATION TECHNOLOGY AND SECURITY - b. Information Security Principles Information Security Concepts, Frameworks, and Standards Information Security Awareness Training Business Continuity Management Data Privacy and Data Protection Principles

Duration 3 Days 18 CPD hours This course is intended for The audience for this course are data professionals and business intelligence professionals who want to learn how to accurately perform data analysis using Power BI. This course is also targeted toward those individuals who develop reports that visualize data from the data platform technologies that exist on both in the cloud and on-premises. This course covers the various methods and best practices that are in line with business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a range of data sources including both relational and non-relational sources. Finally, this course will also discuss how to manage and deploy reports and dashboards for sharing and content distribution. Prerequisites Understanding core data concepts. Knowledge of working with relational data in the cloud. Knowledge of working with non-relational data in the cloud. Knowledge of data analysis and visualization concepts. DP-900T00 Microsoft Azure Data Fundamentals is recommended 1 - Discover data analysis Overview of data analysis Roles in data Tasks of a data analyst 2 - Get started building with Power BI Use Power BI Building blocks of Power BI Tour and use the Power BI service 3 - Get data in Power BI Get data from files Get data from relational data sources Create dynamic reports with parameters Get data from a NoSQL database Get data from online services Select a storage mode Get data from Azure Analysis Services Fix performance issues Resolve data import errors 4 - Clean, transform, and load data in Power BI Shape the initial data Simplify the data structure Evaluate and change column data types Combine multiple tables into a single table Profile data in Power BI Use Advanced Editor to modify M code 5 - Design a semantic model in Power BI Work with tables Create a date table Work with dimensions Define data granularity Work with relationships and cardinality Resolve modeling challenges 6 - Add measures to Power BI Desktop models Create simple measures Create compound measures Create quick measures Compare calculated columns with measures 7 - Add calculated tables and columns to Power BI Desktop models Create calculated columns Learn about row context Choose a technique to add a column 8 - Use DAX time intelligence functions in Power BI Desktop models Use DAX time intelligence functions Additional time intelligence calculations 9 - Optimize a model for performance in Power BI Review performance of measures, relationships, and visuals Use variables to improve performance and troubleshooting Reduce cardinality Optimize DirectQuery models with table level storage Create and manage aggregations 10 - Design Power BI reports Design the analytical report layout Design visually appealing reports Report objects Select report visuals Select report visuals to suit the report layout Format and configure visualizations Work with key performance indicators 11 - Configure Power BI report filters Apply filters to the report structure Apply filters with slicers Design reports with advanced filtering techniques Consumption-time filtering Select report filter techniques Case study - Configure report filters based on feedback 12 - Enhance Power BI report designs for the user experience Design reports to show details Design reports to highlight values Design reports that behave like apps Work with bookmarks Design reports for navigation Work with visual headers Design reports with built-in assistance Tune report performance Optimize reports for mobile use 13 - Perform analytics in Power BI Explore statistical summary Identify outliers with Power BI visuals Group and bin data for analysis Apply clustering techniques Conduct time series analysis Use the Analyze feature Create what-if parameters Use specialized visuals 14 - Create and manage workspaces in Power BI Distribute a report or dashboard Monitor usage and performance Recommend a development life cycle strategy Troubleshoot data by viewing its lineage Configure data protection 15 - Manage semantic models in Power BI Use a Power BI gateway to connect to on-premises data sources Configure a semantic model scheduled refresh Configure incremental refresh settings Manage and promote semantic models Troubleshoot service connectivity Boost performance with query caching (Premium) 16 - Create dashboards in Power BI Configure data alerts Explore data by asking questions Review Quick insights Add a dashboard theme Pin a live report page to a dashboard Configure a real-time dashboard Set mobile view 17 - Implement row-level security Configure row-level security with the static method Configure row-level security with the dynamic method Additional course details: Nexus Humans PL-300T00: Microsoft Power BI Data Analyst 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-300T00: Microsoft Power BI Data Analyst 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.

ITIL® 4 Strategist: Direct, Plan and Improve: In-House Training The ITIL® 4 Strategist: Direct, Plan, and Improve course is based on the ITIL® 4 Strategist Direct, Plan, and Improve candidate syllabus from AXELOS. This course is based on the ITIL® 4 Strategist: Direct, Plan and Improve IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This course provides the practical skills necessary to create a 'learning and improving' IT organization, with a strong and effective strategic direction. It was designed to provide practitioners with a practical and strategic method for planning and delivering continual improvement with necessary agility. It covers both practical and strategic elements, making it the universal module that is a key component to both ITIL® 4 Managing Professional and ITIL® 4 Strategic Leader streams. What You Will Learn At the end of this course, participants will be able to: Understand the key concepts of direction, planning, improvement Understand the scope of what is to be directed and/or planned and know how to use key principles and methods of direction and planning in that context Understand the role of GRC and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Communication and Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in direction, planning, and improvement Understand and know how to direct, plan, and improve value streams and practices Course Introduction Let's Get to Know Each Other Course Overview ITIL® 4 Certification Scheme Course Learning Objectives Course Components Course Agenda Exercises Case Study: Axle Car Hire Case Study: HandyPerson on Demand Exam Details Core Concepts of DPI Key Terms Covered in the Module Module Learning Objectives Basics of Direction Basics of Planning Basics of Improvement Other Core Elements DPI through Service Value Chain and Guiding Principles Key Terms Covered in the Module Module Learning Objectives DPI of the SVS DPI of Guiding Principles Role of Direction in Strategy Management Key Terms Covered in the Module Introducing Strategy Management Developing Effective Strategies Implementation of Strategies Key Terms Covered in the Module Module Learning Objectives Managing Risks Making Decisions through Portfolio Management Directing via Governance, Risk, and Compliance (GRC) Introduction to Assessment and Planning Key Terms Covered in the Module Module Learning Objectives Core Concepts of Assessment Conducting Effective Assessments Core Concepts of Planning Assessment and Planning through VSM Key Terms Covered in the Module Module Learning Objectives Introducing VSM Developing Value Stream Maps Knowing More About VSM Measurement, Reporting, and Continual Improvement Key Terms Covered in the Module Module Learning Objectives Measurement and Reporting Alignment of Measurements and Metrics Success Factors and Key Performance Indicators Continual Improvement Measurements and Continual Improvement through Dimensions and SVS Key Terms Covered in the Module Module Learning Objectives Measurements for the Four Dimensions Continual Improvement of the Service Value Chain and Practices OCM Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of OCM OCM throughout DPI and Service Value Chain Resistance and Reinforcement Communication Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of Effective Communication Communication with Stakeholders SVS Development Using Four Dimensions Key Terms Covered in the Module Module Learning Objectives Organizations and People in the SVS Partners and Suppliers in the SVS Value Streams and Processes in the SVS Information and Technology in the SVS

ITIL® 4 Strategist: Direct, Plan and Improve: Virtual In-House Training The ITIL® 4 Strategist: Direct, Plan, and Improve course is based on the ITIL® 4 Strategist Direct, Plan, and Improve candidate syllabus from AXELOS. This course is based on the ITIL® 4 Strategist: Direct, Plan and Improve IT exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. This course provides the practical skills necessary to create a 'learning and improving' IT organization, with a strong and effective strategic direction. It was designed to provide practitioners with a practical and strategic method for planning and delivering continual improvement with necessary agility. It covers both practical and strategic elements, making it the universal module that is a key component to both ITIL® 4 Managing Professional and ITIL® 4 Strategic Leader streams. What You Will Learn At the end of this course, participants will be able to: Understand the key concepts of direction, planning, improvement Understand the scope of what is to be directed and/or planned and know how to use key principles and methods of direction and planning in that context Understand the role of GRC and know how to integrate the principles and methods into the service value system Understand and know how to use the key principles and methods of continual improvement for all types of improvements Understand and know how to use the key principles and methods of Communication and Organizational Change Management to direction, planning and improvement Understand and know how to use the key principles and methods of measurement and reporting in direction, planning, and improvement Understand and know how to direct, plan, and improve value streams and practices Course Introduction Let's Get to Know Each Other Course Overview ITIL® 4 Certification Scheme Course Learning Objectives Course Components Course Agenda Exercises Case Study: Axle Car Hire Case Study: HandyPerson on Demand Exam Details Core Concepts of DPI Key Terms Covered in the Module Module Learning Objectives Basics of Direction Basics of Planning Basics of Improvement Other Core Elements DPI through Service Value Chain and Guiding Principles Key Terms Covered in the Module Module Learning Objectives DPI of the SVS DPI of Guiding Principles Role of Direction in Strategy Management Key Terms Covered in the Module Introducing Strategy Management Developing Effective Strategies Implementation of Strategies Key Terms Covered in the Module Module Learning Objectives Managing Risks Making Decisions through Portfolio Management Directing via Governance, Risk, and Compliance (GRC) Introduction to Assessment and Planning Key Terms Covered in the Module Module Learning Objectives Core Concepts of Assessment Conducting Effective Assessments Core Concepts of Planning Assessment and Planning through VSM Key Terms Covered in the Module Module Learning Objectives Introducing VSM Developing Value Stream Maps Knowing More About VSM Measurement, Reporting, and Continual Improvement Key Terms Covered in the Module Module Learning Objectives Measurement and Reporting Alignment of Measurements and Metrics Success Factors and Key Performance Indicators Continual Improvement Measurements and Continual Improvement through Dimensions and SVS Key Terms Covered in the Module Module Learning Objectives Measurements for the Four Dimensions Continual Improvement of the Service Value Chain and Practices OCM Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of OCM OCM throughout DPI and Service Value Chain Resistance and Reinforcement Communication Principles and Methods Key Terms Covered in the Module Module Learning Objectives Basics of Effective Communication Communication with Stakeholders SVS Development Using Four Dimensions Key Terms Covered in the Module Module Learning Objectives Organizations and People in the SVS Partners and Suppliers in the SVS Value Streams and Processes in the SVS Information and Technology in the SVS

Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Foundation course includes Management, Operations, Developers, QA and Testing professionals such as: Individuals involved in IT development IT operations or IT service management. Individuals who require an understanding of DevOps principles. IT professionals working within, or about to enter, an Agile Service Design Environment The following IT roles: Automation Architects, Application Developers, Business Analysts, Business Managers, Business Stakeholders, Change Agents, Consultants, DevOps Consultants, DevOps Engineers, Infrastructure Architect, Integration Specialists, IT Directors, IT Managers, IT Operations, IT Team Leaders, Lean Coaches, Network Administrators, Operations Managers, Project Managers, Release Engineers, Software Developers, Software Tester/QA, System Administrators, Systems Engineers, System Integrators, Tool Providers. Overview The learning objectives for DevOps Foundation include an understanding of: DevOps objectives and vocabulary Benefits to the business and IT Principles and practices including Continuous Integration, Continuous Delivery, testing, security and the Three Ways DevOps relationship to Agile, Lean and ITSM Improved workflows, communication and feedback loops Automation practices including deployment pipelines and DevOps toolchains Scaling DevOps for the enterprise Critical success factors and key performance indicators Real-life examples and results The DevOps Foundation course provides a baseline understanding of key DevOps terminology to ensure everyone is talking the same language and highlights the benefits of DevOps to support organizational success. Learners will gain an 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. This course prepares you for the DevOps Foundation (DOFD) certification. Exploring DevOps Defining DevOps Why Does DevOps Matter? Core DevOps Principles The Three Ways The First Way The Theory of Constraints The Second Way The Third Way Chaos Engineering Learning Organizations Key DevOps Practices Continuous Testing, Integration, Delivery, Deployment Site Reliability & Resilience Engineering DevSecOps ChatOps Kanban Business and Technology Frameworks Agile ITSM Lean Safety Culture Learning Organizations Continuous Funding Culture, Behaviors & Operating Models Defining Culture Cultural Debt Behavioral Models Organizational maturity models Automation & Architecting DevOps Toolchains CI/CD Cloud, Containers, and Microservices AI and Machine Learning Automation DevOps Toolchains Measurement, Metrics, and Reporting The Importance of Measurement DevOps Metrics - Speed, Quality, Stability, Culture Change lead/cycle time Value Driven Metrics Sharing, Shadowing and Evolving DevOps in the Enterprise Roles DevOps Leadership Organizational Considerations Getting Started Challenges, Risks, and Critical Success Factors Additional course details: Nexus Humans DevOps Foundation (DevOps Institute) 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 DevOps Foundation (DevOps Institute) 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.

Project Quality Management: In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality

Business Intelligence: In-House Training Business Intelligence (BI) refers to a set of technology-based techniques, applications, and practices used to aggregate, analyze, and present business data. BI practices provide historical and current views of vast amounts of data and generate predictions for business operations. The purpose of Business Intelligence is the support of better business decision making. This course provides an overview of the technology and application of BI and how it can be used to improve corporate performance. What you will Learn You will learn how to: Specify a data warehouse schema Identify the data and visualization to be used for data mining and Business Intelligence Design a Business Intelligence user interface Getting Started Introductions Agenda Expectations Foundation Concepts The challenge of decision making What is Business Intelligence? The Business Intelligence value proposition Business Intelligence taxonomy Business Intelligence management issues Sources of Business Intelligence Data warehousing Data and information Information architecture Defining the data warehouse and its relationships Facts and dimensions Modeling, meta-modeling, and schemas Alternate architectures Building the data warehouse Extracting Transforming Loading Setting up the data and relationships Dimensions and the Fact Table Implementing many-to-many relationships in data warehouse Data marts Online Analytical Processing (OLAP) What is OLAP? OLAP and OLTP OLAP functionality Multi-dimensions Thinking in more than two dimensions What are the possibilities? OLAP architecture Cubism Tools OLAP variations - MOLAP, ROLAP, HOLAP BI using SOA Applications of Business Intelligence Applying BI through OLAP Enterprise Resource Planning and CRM Business Intelligence and financial information Business Intelligence User Interfaces and Presentations Data access Push-pull data access Types of decision support systems Designing the front end Presentation formats Dashboards Types of dashboards Common dashboard features Briefing books and scorecards Querying and Reporting Reporting emphasis Retrofitting Talking back Key Performance Indicators Report Definition and Visualization Typical reporting environment Forms of visualization Unconstrained views Data mining What is in the mine? Applications for data mining Data mining architecture Cross Industry Standard Process for Data Mining (CISP-DM) Data mining techniques Validation The Business Intelligence User Experience The business analyst role Business analysis and data analysis Five-step approach Cultural impact Identifying questions Gathering information Understand the goals The strategic Business Intelligence cycle Focus of Business Intelligence Design for the user Iterate the access Iterative solution development process Review and validation questions Basic approaches Building ad-hoc queries Building on-demand self-service reports Closed loop Business Intelligence Coming attractions - future of Business Intelligence Best practices in Business Intelligence

About this Virtual Instructor Led Training (VILT)  This 2-half-day Virtual Instructor Led Training (VILT) course will discuss the chemical aspects of the water-steam cycle in a power plant. The VILT course will examine the different types of chemicals used in boilers, potential issues in a water-steam cycle as well as aspects of monitoring and specifications regarding target values and alarm levels. Participants will also be equipped on what to do or key action steps to take in the event of chemistry-related incidents. This course is delivered in partnership with ENGIE Laborelec. Training Objectives The VILT course will cover the following: Detailed aspects of chemistry in a water steam cycle, including types of chemicals used in boilers depending on the treatment and type of boiler Potential issues in a water-steam cycle such as corrosion and deposition Monitoring & analytical programmes and knowledge of specifications for the water steam cycle (normal values targets - alarm levels) Chemistry aspects during transition periods: start-up, shutdown and preservation Actions to be taken in the event of an alarm Examples of incidents or deviations compared to normal chemistry Target Audience The VILT course is intended for: Power plant chemists Plant operation or maintenance engineers Consultants and technical project managers Boiler engineers Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Your expert course leader is a chemistry consultant in the energy sector. He works with operators of power plants and industrial facilities. He is active in water-steam cycle chemistry, where he provides support to increase chemistry maturity through audits, trainings or development of key performance indicators. His role also includes operational assistance in the field of chemical cleaning and troubleshooting. More recently, he expanded his field of competence towards electrical storage. In this regard, he specializes in electrochemistry and is in charge of different tests on batteries and their components within the ENGIE Batteries Lab. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

Project Quality Management: Virtual In-House Training In today's environment, quality is the responsibility of everyone. Project success is no longer just the fulfillment of a project on schedule, on budget, and within the scope. Today, projects aren't successful unless the customer's needs are met at the highest level of quality at the lowest cost to the organization. Project Managers must know customer needs, and manage to them throughout the project lifecycle, in order to gain acceptance. Project Quality Management provides an interactive, hands-on environment for participants to practice identification of critical quality requirements (quality planning), fulfillment of those requirements through well-designed processes (Quality Assurance), and statistical awareness of technical specifications of project deliverables (Quality Control). What You Will Learn You'll learn how to: Plan for higher quality project deliverables Measure key performance indicators on projects, processes, and products Turn data into useful project information Take action on analyzed data that will drive down non-value-added costs and drive up customer acceptance and satisfaction Reduce defects and waste in current project management processes Foundation Concepts Quality Defined Customer Focus Financial Focus Quality Management Process Management Cost of Quality Planning for Quality Project Manager Role in Planning Voice of the Customer Quality Management Plan Measurement System Accuracy Data Gathering Data Sampling Manage Quality Process Management Process Mapping Process Analysis Value Stream Mapping Standardization Visual Workplace and 5S Error Proofing (Poka-Yoke) Failure Mode and Effect Analysis Control Quality The Concept of Variation Common Cause Special Cause Standard Business Reports Tracking Key Measurements Control Charts Data Analysis Variation Root Cause Analysis Variance Management Designing for Quality