18753 Courses

Microsoft Lync training course description This course teaches IT staff how to plan, design, deploy, configure, and administer a Microsoft Lync Server solution. The course emphasizes Lync Server Enterprise Unified Communications features focussing particularly on coexisting with and migrating from legacy communication services. The labs in this course create a solution that includes IM and Presence, Conferencing, and Persistent Chat. This course helps prepare for Exam 70-336. What will you learn Describe the Lync Server architecture. Install and deploy Lync Server. Use Lync Server management interfaces. Deploy and manage clients. Manage and administer dial-in conferencing. Design audio and video for web conferencing. Plan for instant message and presence Federation. Deploy and configure persistent chat in Lync. Configure archiving and monitoring services. Troubleshoot Lync Server. Describe the required daily, weekly, and monthly maintenance tasks. Use SIP commands and analyze SIP logs. Configure high availability features in Lync. Design load balancing in Lync Server. Backup and restore Lync Server data. Microsoft Lync training course details Who will benefit: Technical staff working with Microsoft Lync. Prerequisites: Supporting Windows 2008 or 2012. Duration 5 days Microsoft Lync training course contents Microsoft Lync Server architecture Lync Server architecture, Lync core capabilities, Lync design process, assessing infrastructure requirements and updating the design, planning for all Microsoft solutions framework phases. Designing a Lync Server topology Infrastructure requirements for Lync Server, using the planning tool, using topology builder, server infrastructure, documentation. Hands on Environment preparation and Lync Server pools. Users and rights in Microsoft Lync Server Managing Lync Server, role based access control. Hands on Using the management shell, configuring role-based access control. Client/device deployment and management Deploy and manage clients, prepare for device deployment, IP phones. Hands on Clients. Conferencing in Lync Server Introduction to conferencing in Lync Server, designing for audio\video and web conferencing, dial-in conferencing in Lync Server, managing and administering conferencing. Hands on Conferencing in Microsoft Lync. Designing and deploying external access Conferencing and external capabilities of Lync Server, planning for IM and presence federation, designing edge services. Hands on Deploying Edge Server and Configuring Remote Access, Validating the Edge Server. Deploying Lync Server persistent chat Overview of persistent chat architecture in Lync Server, designing persistent chat, deploying and persistent chat. Hands on persistent chat server. Monitoring and archiving The archiving service, the monitoring service, configuring archiving and monitoring. Hands on Archiving and monitoring in Lync Server. Administration and maintenance of Lync Lync Server troubleshooting tools, Lync Server operational tasks, Lync Server troubleshooting techniques. Hands on Lync administration tools, centralized logging service, analysing Lync Server logs and traces. High Availability in Lync Server High availability in Lync Server, configuring high availability in Lync Server, planning for load balancing, designing load balancing. Hands on Configuring database mirroring, experiencing a scheduled SQL Server outage, experiencing an unscheduled SQL Server outage. Disaster recovery in Lync Server Disaster recovery in Lync Server, tools for backing up and restoring Lync Server, critical Lync Server data to back up and restore, critical data to export and import, designing branch site resiliency. Hands on Configure pool pairing, experiencing a pool failure or outage. Planning a migration to Lync Server Coexistence and migration, migration steps, planning for clients and devices. Designing a client migration and device migration strategy. Hands on Creating a migration plan, documenting the migration phases.

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Introduction to Virtualization course description A comprehensive tour of virtualization. The course concentrates on the actual technologies involved as opposed to any one vendor solution. What will you learn Explain the concepts of virtualization. Partition servers. Create Virtual Machines. Introduction to Virtualization course details Who will benefit: Anyone looking for an introduction to Virtualization. Prerequisites: None. Duration 2 days Introduction to Virtualization course contents Virtualization Concepts What is Virtualisation? What are virtual machines (VMs)? Virtualisation Landscape. Network Virtualisation. Suitability for Organisations. Advantages of deploying Virtualisation. Downsides of deploying Virtualisation. Overview of Virtualisation products. Hypervisors What is a hypervisor? Difference between type 1 and 2 hypervisors. Available hypervisors. Hypervisors and device drivers. Hands on: Installing Oracle VirtualBox on Windows. Creating/Importing/Configuring VMs. Virtualization Hosts Hardware and resource requirements. Installation of the hypervisor. Hands on: Installing Hyper-V role into Windows Server. Creating/Importing/Configuring VMs. Virtual Machines Creating virtual machines. Resource requirements. Settings. Installation of the guest OS. Additional tools/ extensions for hypervisor integration. VM files and their uses. Virtual hard disk and their formats. Hardware pass through. Hands on: Connecting to VMWare ESXi via WebGUI and using ESXi to create/import/configure VMs. VM Snapshots/Checkpoints What is a snapshot? How to use them and how they impact performance? Creating/deleting/merging of snapshots. Hands on: Using ESXi to create/manage snapshots. Command Line use on the Hypervisor Interacting with the hypervisor through the command line. Simple commands to configure the hypervisor and VMs. Simple scripts. Hands on: Connecting to VMWare ESXi via PowerCLI to manipulate VMs and snaphshots. Virtualization Storage Different types of storage: local vs remote. Local and remote storage technologies. Configuring storage. Hands on: Using ESXi to deploy VMs on remote NFS storage. Virtual Networking How is networking done in virtualization environments. What is a virtual switch and vNIC and what are their performance characteristics? NIC teaming and trunking in the virtual world. Port groups and isolation. Physical NICs and their use in virtual switches. Hands on: Using ESXi to create and configure vswitches and networking. Templates and clones What is a template? What is a clone? When to use templates and clones to optimize VM deployment. Migrating/Importing VMs What is migration? Migrating compute and storage. Importing VMs from files or physical machines. Hands on: Using VMWare vCenter Server to clone/ template/migrate VMs, tag resources, create local user accounts and assign permissions. VMs and Backups Taking backups of your VMs. Restoring your VMs from backups. Virtualization and Licensing Different licensing models and costs. Containerization Concepts What is a container and how is it different from a virtual machine. When to use containers. Docker and Kubernetes

This half-day course provides an introduction to promote mental health awareness in the workplace for all employees. Group activities are designed to encourage and empower individuals to prioritise their mental wellbeing and recognise signs of mental ill health in both themselves and others. The session emphasises the importance of mental wellbeing conversations, self-care and how to access further support.

A course for those lacking a property-specific education or requiring a broader perspective. About Who Could Benefit?   A 2-day dynamic course providing a solid knowledge foundation explaining the property industry. The course is for those who work with property clients or those who work in property and lack formalised property training or have a one-sided background. This course is available in-house on demand. The on-line course suits those new to property as well as those who have worked in the industry for many years looking to dot the is and cross the ts, as well as broaden their knowledge base and understanding. We have taught across the ranges of age and seniority. A senior practitioner teaches from their real-life experience using captivating examples and anecdotes. We bring theory to life! A shorter, more general curriculum of just 1 day is available (see Introduction to Property). Both courses are available to be taught in-house as well. Trainer: Kaushik Shah Modules Understanding Property (2 day course) This course provide a captivating overview of the property industry and teaches foundation knowledge in just 2 days. We tackle lots of jargon along the way in a very engaging manner. This course provides a solid grounding in a great many aspects of the real estate industry. Day 1 provides foundation and leasing knowledge. We look at how companies design, build and lease-up, what drives trends and property cycles, and how things are changing within the industry. In day 2 we concentrate on the investment side and look at how companies finance, service, value and invest in real estate as well as the how and why of companies and individuals investing in certain types. We also delve into how residential, retail, offices, industrial and other asset types differ, including across countries. The course explains the lettings and investment aspects, how it all fits together and how things work. All is explained in context with lots of examples so delegates can relate it to their own job. This course enables you to understand what your colleagues and clients do, what they want and the jargon they use. Real-life case studies on both days tie everything back together. See below for a brief overview of content. For full course content click the ‘see content’ button below Day 1: Foundation & leasing knowledge • Property needs occupiers to thrive • Asset types • Insight into real market drivers & dynamics • Asset-specific considerations • Traditional property job roles demystified • The Property Industry is Changing • ESG – Overview, frameworks, tools, regulation, overlaps & jargon • Property Jargon • The letting process • How lease events differ by property type • Case Study Day 2: real estate investment • How letting income translates into investment value • Valuations explained • Investment Jargon • Understanding Investors • Where does property fit in as an investment amongst other asset classes? • Why invest in property? • Routes to CRE investment – investment options and fund names unpicked • Risks • Investment fund structuring • Case study To book this course or enquire about the next course date, please email kaushik@propertyoverview.co.uk or fill in our booking form Next Date Available: Tue 18 + Wed 19 June 2024 | Location: London or on-lineIn-house course ‘Introduction to Property’ Tailor-made foundation knowledge course for those working in property or with property clients. The course is designed by a senior practitioner with hands-on experience who understands what clients want. An extensive selection of course modules exist (check out the content of the 2-day course) and content can be created, added to or abbreviated as required, or worked around your business product. See content Pricing Find the best price.   Property Overview offers competitively priced on-line training courses with unique practitioner-led content. Applied, relevant content leads to greater impact and value-for-money. Pricing below is shown for on-line public courses for individual bookings, and for on-line in-house courses. For bookings of 4 or more staff an in-house course is recommended, also as the content can be tailored around your needs and your products or services. To book one or two individual places please fill in the booking form, otherwise email kaushik@propertyoverview.co.uk Understanding Property (2 day course) £1,150 + VAT • Per Person at a public course + UK VAT where applicable• Course also available to be taught in-house• Prices upon application for courses taught abroad face-to-face.• Available as on-line course across the world at no extra cost.In-house course ‘Introduction to Property’ £3,025 for 8 hrs, £4,240 for 1.5 days £5,335 for 2 days • UK VAT @ 20% where applicable• Includes up to 6 attendees, surcharge at £60 per day or £62.5 per 1.5 days per additional attendee + VAT• Modules can run across several days on-line, fitting into diaries better• Prices upon application for f2f courses taught abroad

Intro to containers training course description This course looks at the technologies of containers and microservices. The course starts with a look at what containers are, moving onto working with containers. Networking containers and container orchestration is then studied. The course finishes with monitoring containers with Prometheus and other systems. Hands on sessions are used to reinforce the theory rather than teach specific products, although Docker and Kubernetes are used. What will you learn Use containers. Build containers. Orchestrate containers. Evaluate container technologies. Intro to containers training course details Who will benefit: Those wishing to work with containers. Prerequisites: Introduction to virtualization. Duration 2 days Intro to containers training course contents What are containers? Virtualization, VMs, What are containers? What are microservices? Machine containers, application containers. Benefits. Container runtime tools Docker, LXC, Windows containers. Architecture, components. Hands on Installing Docker client and server. Working with containers Docker workflow, Docker images, Docker containers, Dockerfile, Building, running, storing images. Creating containers. Starting, stopping and controlling containers. Public repositories, private registries. Hands on Exploring containers. Microservices What are microservices? Modular architecture, IPC. Hands on Persistence and containers. Networking containers Linking, no networking, host, bridge. The container Network Interface. Hands on Container networking Container orchestration engines Docker swarm: Nodes, services, tasks. Apache Mesos: Mesos master, agents, frameworks. Kubernetes: Kubectl, master node, worker nodes. Openstack: Architecture, containers in OpenStack. Amazon ECS: Architecture, how it works. Hands on Setup and access a Kubernetes cluster. Managing containers Monitoring, logging, collecting metrics, cluster monitoring tools: Heapster. Hands on Using Prometheus with Kubernetes.

About this Training Course This course will provide a comprehensive, foundational content for a wide range of topics in power system operation and control. With the growing importance of grid integration of renewables and the interest in smart grid technologies, it is more important than ever to understand the fundamentals that underpin electrical power systems. Training Objectives Basic Terminology and Concepts of Electrical Systems: Gain an understanding of the basic terminology and concepts of electrical systems and the structure of a power system Transmission Line Parameters: Learn in detail all the transmission line parameters including line resistance, line inductance, transposition of transmission lines, and capacitance of transmission lines Insulators: Understand thoroughly all the various types of insulators, pin type insulators, suspension type or disc insulators, strain insulators, and testing of insulators High-Voltage Direct Current Transmission: Determine the advantages and disadvantages of high voltage direct current transmission, and gain an understanding of all the features of high-voltage direct current transmission Substations and Neutral Grounding: Gain a detailed understanding of all substation equipment, factors governing the layout of substations, station transformers, elements to be earthed in a substation, power system earthing, earthing transformers, bus bar arrangements and gas-insulated substations Distribution System: Learn about the effects of voltage on the conductor volume, distributor fed from one end, distributors fed from both ends at the same voltage, distributors fed from both ends at different voltages, and alternating current distribution Circuit Breakers: Learn about the classification of circuit breakers, plain-break oil circuit breakers, air break circuit breaker, air blast circuit breakers, vacuum circuit breakers, SF6 circuit breakers, rating and testing of circuit breakers Relaying and Protection: Learn all the requirements of relaying, zones of protection, primary and backup protection, classification of relays, electromagnetic relays, induction relays, feeder protection, phase fault protection, reactance relay, static overcurrent relay, differential protection, transformer protection, Buchholz relays, alternator protection restricted earth fault protection, rotor earth fault protection, and negative-sequence protection Economic Operation of Power Systems: Gain an understanding of steam power plants, heat rate characteristics and characteristics of hydro plants Load Frequency Control: Learn about speed governing mechanism, speed governor, steady state speed regulations and adjustment of governor characteristics Voltage and Reactive Power Control: Gain an understanding of impedance and reactive power, system voltage and reactive power, voltage regulation and power transfer Renewable Energy Sources: Learn about solar power, wind power, geothermal energy, biomass and tidal power Restructuring of Electrical Power Systems: Gain an understanding of smart grids, smart grid components, smart grid benefits, and open smart grid protocol Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Course Level Basic or Foundation Trainer Your specialist course leader has more than 32 years of practical engineering experience with Ontario Power Generation (OPG), one of the largest electric utility in North America. He was previously involved in research on power generation equipment with Atomic Energy of Canada Limited at their Chalk River and Whiteshell Nuclear Research Laboratories. While working at OPG, he acted as a Training Manager, Engineering Supervisor, System Responsible Engineer and Design Engineer. During the period of time, he worked as a Field Engineer and Design Engineer, he was responsible for the operation, maintenance, diagnostics, and testing of gas turbines, steam turbines, generators, motors, transformers, inverters, valves, pumps, compressors, instrumentation and control systems. Further, his responsibilities included designing, engineering, diagnosing equipment problems and recommending solutions to repair deficiencies and improve system performance, supervising engineers, setting up preventive maintenance programs, writing Operating and Design Manuals, and commissioning new equipment. Later, he worked as the manager of a section dedicated to providing training for the staff at the power stations. The training provided by him covered in detail the various equipment and systems used in power stations. In addition, he has taught courses and seminars to more than four thousand working engineers and professionals around the world, specifically Europe and North America. He has been consistently ranked as 'Excellent' or 'Very Good' by the delegates who attended his seminars and lectures. He written 5 books for working engineers from which 3 have been published by McGraw-Hill, New York. Below is a list of the books authored by him; Power Generation Handbook: Gas Turbines, Steam Power Plants, Co-generation, and Combined Cycles, second edition, (800 pages), McGraw-Hill, New York, October 2011. Electrical Equipment Handbook (600 pages), McGraw-Hill, New York, March 2003. Power Plant Equipment Operation and Maintenance Guide (800 pages), McGraw-Hill, New York, January 2012. Industrial Instrumentation and Modern Control Systems (400 pages), Custom Publishing, University of Toronto, University of Toronto Custom Publishing (1999). Industrial Equipment (600 pages), Custom Publishing, University of Toronto, University of Toronto, University of Toronto Custom Publishing (1999). Furthermore, he has received the following awards: The first 'Excellence in Teaching' award offered by PowerEdge, Singapore, in December 2016 The first 'Excellence in Teaching' award offered by the Professional Development Center at University of Toronto (May, 1996). The 'Excellence in Teaching Award' in April 2007 offered by TUV Akademie (TUV Akademie is one of the largest Professional Development centre in world, it is based in Germany and the United Arab Emirates, and provides engineering training to engineers and managers across Europe and the Middle East). Awarded graduation 'With Distinction' from Dalhousie University when completed Bachelor of Engineering degree (1983). Lastly, he was awarded his Bachelor of Engineering Degree 'with distinction' from Dalhousie University, Halifax, Nova Scotia, Canada. He also received a Master of Applied Science in Engineering (M.A.Sc.) from the University of Ottawa, Canada. He is also a member of the Association of Professional Engineers in the province of Ontario, Canada. 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

Enhance your knowledge with EnergyEdge course on geothermal exploration and development. Join us to gain valuable insights and skills.

Lean Six Sigma Green Belt Certification Program This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps