1679 Courses in London

PMI-PBA® Exam Prep The course provides targeted exam preparation support for PMI®'s Professional in Business Analysis exam candidates, including a content review of The PMI Guide to Business Analysis, a review of the PMI-PBA® reference books, and an exam preparation tutorial. You will be given a Study Guide that you can re-use to assess your knowledge gaps as part of your Personal Action Plan. Your score on this for each Knowledge Area can be compared to your results on the quiz at the end of each course module to guide your study efforts. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure, content and framework of The PMI Guide to Business Analysis Explain the six Knowledge Areas of The PMI Guide to Business Analysis, as well as, their inter-relationships with each other and the six Process Groups Differentiate among the five business analysis domains in the project life cycle Create a personal action plan to study and prepare for the PMI-PBA® Exam Getting Started PMI-PBA Examination Certification Process The Credential Examination Foundation Concepts for PMI-PBA® Prep Business analysis terminology and definitions Business analysis project, program, and portfolio management Product and project life cycles Skills and qualities of a business analyst Introduction to Business Analysis in Projects Business analysis overview How organizations implement business analysis Business analyst and project manager relationships Requirements definitions and types Practice quiz On-Demand Segment A: Define the Business Problem (Pre-work for Needs Assessment) Needs Assessment Review Needs Assessment knowledge area Identify problem or opportunity Assess current and future state Determine options and provide recommendations Facilitate product roadmap development Assemble business case Practice quiz Stakeholder Engagement Review Stakeholder Engagement knowledge area Identify Stakeholders and conduct analysis Determine Stakeholder engagement and communication approach Conduct business analysis planning Practice quiz On-Demand Segment B: The Elicitation Plan (Pre-work for Elicitation) Elicitation Review Elicitation knowledge area Determine Elicitation approach Preparing for Elicitation Conducting Elicitation Confirming Elicitation results Practice quiz On-Demand Segment C: Overview of Requirements Analysis (Pre-work for Analysis) Analysis Review Analysis knowledge area Determine Analysis approach Create and analyze models Define requirements and acceptance criteria Verify, validate, and prioritize requirements Identify and analyze product risks Assess product design options Practice quiz Traceability and Monitoring Review Traceability and Monitoring knowledge area Determine Traceability and Monitoring approach Establish relationships and dependencies Select and approve requirements Make changes to requirements and other product information Practice quiz Solution Evaluation Review Solution Evaluation knowledge area Evaluate solution performance Determine solution evaluation approach Evaluate acceptance results and address defects Obtain solution acceptance for release Practice quiz Exam Application and Preparation Process Applying for the Exam Studying for the Exam Sitting for the Exam Reviewing your Knowledge Gap Practice Exam Study Guide - a reliable learning aid Summary and Next Steps Crystallizing the Business Analysis Domains Developing a Personal Action Plan for Exam Study

PMI-PBA® Exam Prep: In-House Training The course provides targeted exam preparation support for PMI®'s Professional in Business Analysis exam candidates, including a content review of The PMI Guide to Business Analysis, a review of the PMI-PBA® reference books, and an exam preparation tutorial. You will be given a Study Guide that you can re-use to assess your knowledge gaps as part of your Personal Action Plan. Your score on this for each Knowledge Area can be compared to your results on the quiz at the end of each course module to guide your study efforts. What you will Learn Upon completion, participants will be able to: Demonstrate familiarity with the structure, content and framework of The PMI Guide to Business Analysis Explain the six Knowledge Areas of The PMI Guide to Business Analysis, as well as, their inter-relationships with each other and the six Process Groups Differentiate among the five business analysis domains in the project life cycle Create a personal action plan to study and prepare for the PMI-PBA® Exam Getting Started PMI-PBA Examination Certification Process The Credential Examination Foundation Concepts for PMI-PBA® Prep Business analysis terminology and definitions Business analysis project, program, and portfolio management Product and project life cycles Skills and qualities of a business analyst Introduction to Business Analysis in Projects Business analysis overview How organizations implement business analysis Business analyst and project manager relationships Requirements definitions and types Practice quiz On-Demand Segment A: Define the Business Problem (Pre-work for Needs Assessment) Needs Assessment Review Needs Assessment knowledge area Identify problem or opportunity Assess current and future state Determine options and provide recommendations Facilitate product roadmap development Assemble business case Practice quiz Stakeholder Engagement Review Stakeholder Engagement knowledge area Identify Stakeholders and conduct analysis Determine Stakeholder engagement and communication approach Conduct business analysis planning Practice quiz On-Demand Segment B: The Elicitation Plan (Pre-work for Elicitation) Elicitation Review Elicitation knowledge area Determine Elicitation approach Preparing for Elicitation Conducting Elicitation Confirming Elicitation results Practice quiz On-Demand Segment C: Overview of Requirements Analysis (Pre-work for Analysis) Analysis Review Analysis knowledge area Determine Analysis approach Create and analyze models Define requirements and acceptance criteria Verify, validate, and prioritize requirements Identify and analyze product risks Assess product design options Practice quiz Traceability and Monitoring Review Traceability and Monitoring knowledge area Determine Traceability and Monitoring approach Establish relationships and dependencies Select and approve requirements Make changes to requirements and other product information Practice quiz Solution Evaluation Review Solution Evaluation knowledge area Evaluate solution performance Determine solution evaluation approach Evaluate acceptance results and address defects Obtain solution acceptance for release Practice quiz Exam Application and Preparation Process Applying for the Exam Studying for the Exam Sitting for the Exam Reviewing your Knowledge Gap Practice Exam Study Guide - a reliable learning aid Summary and Next Steps Crystallizing the Business Analysis Domains Developing a Personal Action Plan for Exam Study

AgileBA® Foundation and Practitioner The AgileBA® Foundation and Practitioner course takes you through a business understanding of the external and internal forces that underline the project from a business perspective, looks at modeling techniques, (As Is - To Be), and also provides an overview to project management (AgilePM) from an 'Agile' perspective. The course explains the role's relevance and involvement throughout the project. What You Will Learn At the end of this program, you will be able to: Understand business analysis in a project environment and the techniques used, as well as knowing more about the role of the business analyst in a project Business Analysis - Business Environment and Organizational Strategy Overview of AgilePM The Business Case Stakeholder Engagement/Analysis Techniques: Requirements and Estimating Prioritization Timeboxing Iterative Development Planning Facilitated Workshops Modeling - 'As Is - To Be' Making the transition to AgileBA

AgileBA® Foundation and Practitioner: In-House Trainingr: In-House Training The AgileBA® Foundation and Practitioner course takes you through a business understanding of the external and internal forces that underline the project from a business perspective, looks at modeling techniques, (As Is - To Be), and also provides an overview to project management (AgilePM) from an 'Agile' perspective. The course explains the role's relevance and involvement throughout the project. What You Will Learn At the end of this program, you will be able to: Understand business analysis in a project environment and the techniques used, as well as knowing more about the role of the business analyst in a project Business Analysis - Business Environment and Organizational Strategy Overview of AgilePM The Business Case Stakeholder Engagement/Analysis Techniques: Requirements and Estimating Prioritization Timeboxing Iterative Development Planning Facilitated Workshops Modeling - 'As Is - To Be' Making the transition to AgileBA

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

Overview Objectives Define brands and understand the opportunities and challenges facing them in highly competitive business landscapes Plan and craft a powerful brand positioning statement that reflects the brand's promise and the expectations of their most valued customers Build a strategic brand and track its growth and sustainability using researched processes Explore the elements of brand equity and the constituents of brand identity to build consistent and sustainable brands Identify various brand strategies to come up with sound actions aligned with the status of existing and new markets and products Master the process for conducting a full brand audit to evaluate brand performance and take remedial actions

Overview This course is designed to gain advanced sales techniques through traditional and modern selling techniques. It will help train the participants for a wide range of sale environments in diverse sectors. With the increase in neck-to-neck competition sales have become a major factor and a lot of new philosophies and modern techniques including new sales methodology has been introduced in the sales industry. As a salesperson who is directly involved in sales or even managers who are into products and services, knowing how to sell is an incredibly useful skill. The course is designed with a lot of practical exercises, and modern techniques, taking from basic to advance level which will help the delegates to attain the skills they require and start implementing what they learned.

The “ISO 20000: 2018 Lead Auditor” course provides comprehensive training in the ISO 20000: 2018 standard and all its requirements from the Lead auditor’s point of view, as well as basic skills necessary to Lead audit activities. It’s a practical-oriented training that should be considered “a must” for every ISO 20000: 2018 Lead auditor. The interactive training program, complete with quizzes, will provide the necessary technical knowledge and understanding of all ISO 20000: 2018 requirements to implement the requirement of the standard and complete ISO 20000: 2018 audit . This ISO Lead auditor training should be taken by individual with interest in conducting internal as well as third part audits according ISO 20000: 2018 standards.

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

Our classroom training provides you the opportunity to interact with instructors and benefit from face-to-face instruction. For more queries, reach out to us: info@mangates.com