1666 Management courses in Ewell

PRINCE2® Practitioner : In-House Training Projects fail for a variety of reasons including poor planning, lack of defined quality criteria, poor understanding of the business drivers, inadequate control, and lack of senior management involvement in other words, lack of a structured best practice approach to project delivery. PRINCE2® (6th Edition is the current version) is a structured, process-based approach for project management providing a methodology which can be easily tailored and scaled to suit all types of projects. It is the de facto standard for project management in the UK Government and is also used extensively in more than 150 countries worldwide with in excess of 20,000 organizations already benefitting from its powerful approach. It can be used easily in combination with PMI®'s PMBOK® Guide to provide a robust project methodology, or to augment an existing PMBOK®-based methodology with additional rigor around areas such as Quality, Organization, and Benefits Realization. The goals of this course are to take participants to the next level of understanding and application of the PRINCE2® methodology and to prepare them to sit the Practitioner exam. Using APMG provided sample exam papers and additional project case studies, participants will learn how to apply what they learned during the Foundation course and how to approach the OTE Practitioner exam, which is aimed at testing their ability to apply PRINCE2® in an actual project environment simulated via a case study provided as part of the exam. What you will Learn You'll learn how to: Tailor and apply the principles, themes, process structure, techniques, and management products of PRINCE2® within a work environment, via carefully selected case studies Define the PRINCE2® 6th Edition method at the Practitioner level Prepare for and take the Practitioner exam Getting Started Introductions Course structure Course goals and objectives Tailoring PRINCE2® Tailoring PRINCE2® Adopting PRINCE2® Tailoring PRINCE2® to suit different projects Adopting PRINCE2® in an organizational environment Controlled Start Recap management products Study business case and risk Study activities and responsibilities in: Starting up a project Initiating a project Controlled Progress Study management products and risk Study activities and responsibilities in: Getting work done Monitoring and reporting Issues and escalation Controlled Close Study Activities and Responsibilities in Closing a Project Activities and roles Roles and Responsibilities Principles Exercise Product-basedPlanning Producing a product breakdown structure (PBS) Producing a product flow diagram (PFD) Linking product breakdown structures and product flow diagrams to product descriptions

About this Training Course Process Hazard Assessment using the HAZOP Technique is an intensely participative course that will both explain the key facets of the HAZOP technique as well as provide ample opportunities for participants to practice and become familiar with the technique using generic and real-life examples. HAZOP Team Leader Training is an intensely participative course that will develop participants already familiar with the HAZOP technique, the skills, knowledge and attributes of a HAZOP Team Leader. An in-depth syndicate exercise will provide the opportunity to lead a HAZOP team (consisting of other participants) and to be observed performing the role for constructive feedback. This 5 full-day course has been reviewed and approved by the Institution of Chemical Engineers (IChemE). IChemE is the global professional membership organisation for chemical, biochemical and process engineers and other professionals involved in the chemical, process and bioprocess industries. Their knowledge of professional standards, close involvement with industry, education and regulators, and their expertise as a leading global training provider, means they are uniquely positioned to independently assess and approve training courses and professional development programmes across the world. Training Objectives Process Hazard Assessment using the HAZOP Technique By the end of this course, participants will be able to: Understand the basic HAZOP Technique Fulfill roles as competent HAZOP Team Members Understand the role of HAZOP in risk management Understand how Hazard Identification can predict accidents and incidents Understand how HAZOP complements other hazard identification tool HAZOP Team Leader Training By the end of this course, participants will be able to: Understand the role of the HAZOP Team Leader Practise the role in a classroom environment Provide feedback to participants on their performance as HAZOP Team Leaders Appreciate the leadership skills required as HAZOP Team Leader Plan, organise, manage and successfully undertake a Hazard and Operability study Target Audience This course will benefit: All key persons in the organisation, who by their discipline and/or position, are likely to be called on to initiate, participate or review a HAZOP study. All who have responsibility for the management and supervision of process & safety including but not limited to Senior Management, Plant Managers, Process and Maintenance Engineers (all disciplines), Line Supervisors, Team Leaders, Safety Specialists, and Process Training Instructors. Course Level Basic or Foundation Trainer Your expert course leader has 50 years' experience in chemical and process safety engineering. His early career included 20 years in design and project engineering with various fine chemical and pharmaceutical companies where he designed chemical processes, specified plant equipment and selected materials for highly corrosive and toxic processes, often where textbook data was not available. This was followed by 10 years in offshore oil and gas design projects where he was responsible for setting up a Technical Safety group to change design safety practices in the aftermath of the 1988 Piper Alpha disaster. In recent years, he has been called upon to conduct various offshore and onshore incident investigations. His career has given him experience in project engineering, project management, process design and operations, safety engineering and risk management. He is a Fellow of the UK Institution of Chemical Engineers. He served on the Scottish Branch committee, and was elected chairman for a two-year term in 1991. He has also been chairman of the Safety and Reliability Society - North of Scotland Branch. He has delivered training courses in Process Hazard Analysis (HAZOP and HAZID), Process Safety Management, Hazard Awareness, Risk Assessment, Root Cause Analysis, Failure Modes & Effect Analysis and has lectured on Reliability Analysis to the M.Sc. course in Process Safety and Loss Prevention at Sheffield University. In addition to delivering training courses, he currently facilitates HAZOP / HAZID / LOPA studies and undertakes expert witness roles advising lawyers engaged in contractual disputes, usually involving the design or construction of chemical plants or Oil & Gas production facilities, or criminal prosecutions. 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

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)

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)

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course is designed with the aim of showing the degree of integration necessary in developing an offshore petroleum discovery, from field appraisal to development. The 5 half-day VILT course gives a comprehensive account of the methodology, processes and techniques utilised in developing an offshore oil or gas discovery. Technically, integration of expected reservoir behavior, well planning and design, and facilities concepts and selection are exemplified through detailed case histories, group discussions and exercises. Commercial aspects related to overall project evaluation are also covered. Training Objectives Course participants will obtain a comprehensive understanding of key aspects of offshore field development, from appraisal through to development planning and leading up to sanction. The VILT course covers the three key elements: reservoirs, wells and facilities, and covers the integration of these with commercial aspects, and the required management aspects, including uncertainty and risk. Target Audience This VILT course is designed for project managers, field development and planning engineers, asset managers, petroleum engineers, reservoir engineers as well as field geoscientists and managers who have an interest in or are involved in field development feasibility and planning. In particular, this VILT course would be of interest to managers leading multidisciplinary and diverse functional teams. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Trainer 1: Your first expert course leader is a specialist in reservoir engineering, field development planning and petroleum management. Having worked for over 40 years in the petroleum industry, his most recent full-time position was Chief Operating Officer and Project Director for AED Oil and East Puffin (2007-09) for the Puffin offshore development, Timor Sea. Prior to his academic career (2001-2006), commencing in 2001 as head of the new School of Petroleum Engineering and Management at the UA, he worked for 16 years for BHP Petroleum (now BHP Billiton), most recently as Chief Reservoir Engineer for their worldwide operations. Other positions with BHP Billiton involved mainly technical and project management, and general management positions, including member of the BHP Board. He was project manager (feasibility) for two FPSO projects, the Skua and Griffin area fields, offshore Australia. He was also the Technical Manager for the Dai Hung project, offshore Vietnam where first oil was achieved in just 18 months from sanction. Before that time, he worked for Shell International (8 years) in the Netherlands, including two years as Senior Lecturer Reservoir Engineering at Shell's training centre and in Australia, seconded to Woodside Energy, with a key role in Australia's largest capital project (at the time), the Northwest Shelf Gas development. He started his career in Calgary, Canada, first with Hudson's Bay Oil and Gas and subsequently with the US consulting company, Scientific Software Corporation. He holds a BSc degree in Physics from the University of British Columbia and a MS degree in Nuclear Engineering from Stanford University. He has been an active member of the Society of Petroleum Engineers, including Director for the Asia-Pacific region (1996-98) and as a member of the Board. He was an SPE Distinguished Lecturer during 2001-02 and a PESA Distinguished Lecturer during 2002. He has lectured at many institutions and was a visiting professor at Stanford University in 2000. He has published over 50 papers on both technical and managerial topics. His professional interests are in optimal planning and project management of offshore petroleum discoveries. His primary research interests are in the area of special core analysis and the development of predictive models for reservoir characterisation. Trainer 2: Your other course leader is currently an independent consultant and trainer after 37 years in the upstream petroleum industry. His previous roles included Chief Geologist for GALP Energy, Consultant/ Head of Exploration for Qatar Petroleum, Technical/ Asset Manager for SASOL, and various technical and technical management roles in BHP Billiton Petroleum and Chevron. He managed/ executed many projects in diverse locations: West Grimes gas field development - California; Port Arguello heavy oil development - offshore California; exploration & development projects - Nigeria; Tengiz field early development, Korolev appraisal - Kazakhstan; Nkossa field development, Moho/ Bilondo exploration - offshore Congo; PNG divestment, Bayu-Undan LNG development - Australia; Ohanet acquisition, appraisal & development - Algeria; Pande development, Pande/ Temane gas plant expansion & near field exploration - Mozambique; Pre-Khuff (HP/HT) exploration, multiple blocks & operators - Qatar; Coral/ Mamba appraisal - Mozambique; Blocks 14/32 exploration & development - Angola; exploration & appraisal - onshore & offshore Brazil. He has an MSc in Geophysics from Stanford, an MBA from St. Mary's College of California, and a BSc in Geology (Honors) from Western Illinois University. He is a member of SEG, AAPG, SPE, PESGB, and PESA and is a Fellow of the Energy Institute (UK). His professional interests centre around deploying this extensive and international experience base to add value to future projects via training and consultancy, and to provide the leadership needed to execute, deliver, and ensure profitability of new projects. 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

Gain the knowledge and skills to manage ear wax buildup with our "Management of Ear Wax Training" course. Ideal for healthcare professionals.

Microsoft Project Blue Belt® 2016 This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. This course introduces Project Server 2016 features that expedite scheduling projects and simplify managing tasks within an enterprise environment. Learn different aspects of Project Server and their benefits to varying roles in the enterprise, and gain hands-on experience and insights on best practices from SMEs around the world. Users in Project online will get the same benefits of this program. What you Will Learn You'll learn how to: Describe the Enterprise Project Management (EPM) environment Apply the basic project management principles of, initiating, planning, executing, monitoring and controlling, and closing your project schedules Discuss new features Explain PWA views project sites Meet deadlines and budget restrictions Keep the workloads of your resources within their available limits Explain tracking methods and manage task assignments Update the schedule Differentiate between updating tasks and timesheets Use standard reports, custom views, and visual reports for your projects Recognize the potential of the Business Intelligence features Getting Started with Microsoft® Project Server 2016 Describing the EPM context Discovering Project Web App Differentiating the users of PWA Working with Project Professional and PWA Initiating Projects New projects with Project Professional, SharePoint lists, Enterprise Projects Importing schedules and managing project owner and permissions Customize the ribbon with enterprise commands Planning Projects - Scope and Schedule Management Scheduling in PWA Using the Deliverables feature Developing components of the risk management plan and issues tracking Linking planning documents Planning Projects - Staffing Management Plan Building a project team Managing resource availability Reviewing the assignment cycle Managing resource engagements Resolving resource overallocation Executing, Monitoring and Controlling Baselines Working with timesheets Reporting administrative time Tracking methods (% work, actual work, single entry mode) Assignment progress and updates in PWA Task progress and updates in Project Professional and PWA Monitor and Control Projects - Measuring Performance and Reporting Progress Reviewing performance metrics and progress reports Using the preloaded reports at the Business Intelligence Center Considerations for defining custom reports Closing Projects Reviewing the closing processes and closing tasks to updates Supporting the closing process

About this Training Course More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential. The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature. One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects. Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward. In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market. Training Objectives At the end of this course, the participants will be able to: Discover the current state of the carbon economy Gain insights into the voluntary carbon market Learn about the different type carbon credits available Examine how companies can reach net zero target by using carbon offsets Uncover best practices in carbon credit procurement strategy Learn the pricing dynamics carbon credits Examine how to identify and ensure high quality credits Obtain key learning from flawed carbon offset projects Target Audience This course is intended for: Energy transition team leaders Carbon credit procurement professionals ESG strategy team leaders Finance and accounting professionals Low carbon business analysts or economists Corporate business sustainability professionals Legal, compliance and regulatory professionals Carbon trading professionals Course Level Intermediate Trainer Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments. He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management. He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms. He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands. He has published several articles in specialist magazines such as Commodities Now and Energy Risk and he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004. 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

AgilePM® Practitioner: In-House Training This course offers preparation for the Practitioner-level examination to gain the APMG-International™ / Agile Project Management Practitioner Certification. Agile Project Management (AgilePM) is the result of collaboration between APMG-International and The DSDM Consortium. DSDM (Dynamic Systems Development Method) is the longest-established Agile method, launched in 1995, and is the only Agile method to focus on the management of Agile projects. The method has evolved over the years and the DSDM Agile Project Framework is the latest version of which AgilePM is a subset. DSDM has always operated predominantly in the corporate environment and has consistently demonstrated its ability to successfully work with and complement existing corporate processes. APMG-International is a global Examination Institute accredited by The APM Group Ltd. It is one of the Examination Institutes accredited by AXELOS. APMG-International has regional offices located in Australia, China, Denmark, Germany, the Netherlands, Malaysia, the United States, and the United Kingdom. Their portfolio of qualifications includes the Best Practice qualifications of ITIL®, PRINCE2®, MSP®, M_o_R®, and P3O®. AgilePM is one of their specialist management qualifications, which also include Change Management and Service Catalogue. The course covers all the Practitioner elements of the AgilePM Handbook v2 with: Clear explanations of the method and practical examples provided by your course tutor Sample exam paper for the Practitioner-level exams to enrich your knowledge and understanding A case study to allow you to practice the application of the method to an agile project The Traditional Classroom option includes the Practitioner exam to provide you with the right opportunity to verify your new skill set by way of a professional qualification The Virtual Classroom option includes a Practitioner exam voucher to allow you to choose the date and time of your online exam to verify your new skill set by way of a professional qualification What You Will Learn You will learn how to: Identify and apply the concepts, tools, and techniques described in Section 2 (Digging Deeper) of the APMG-International's Agile Project Management Handbook (v2.0) to agile projects Tailor and customize AgilePM to suit the needs of different projects Use AgilePM in conjunction with other project management methods such as PRINCE2® Prepare yourself for the Practitioner exam in AgilePM Roles and Responsibilities - The PM View The roles Key project manager relationships Agile Project Management - Through the Lifecycle The DSDM process and the project lifecycle Project management focus phase by phase The Effective Use of Products The products Deliver on Time - Combining MoSCoW & Timeboxing Ensuring effective prioritisation Bringing MoSCoW and timeboxing together People, Teams, and Interactions Effective communication Collaboration Requirements and User Stories What is a requirement? User stories Estimating - How and When Coping with uncertainty Estimating through the lifecycle Project Planning through the Lifecycle Planning in a DSDM project Planning activities phase by phase Quality - Never Compromise Quality What do we mean by quality? Solution and process quality Risk Management Project risk How DSDM helps mitigate project risk Tailoring the Approach The project approach questionnaire Summary and Next Steps

Overview The course focuses on topics such as the fundamental concepts of auditing and quality management, principles of internal and external audit, auditing processes and tools, principles and practice of root cause analysis, communication and people skills, and other related topics. Students who successfully complete this course will gain the essential knowledge and skills necessary to become successful auditors and work with confidence to improve the processes in their organizations.