1740 Sup courses in London

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About this Virtual instructor Led Training (VILT)  The Subsea Production Engineering Virtual instructor Led Training (VILT) course provides an overview of all of the functionalities and key interfaces of subsea equipment. The VILT course will refer to relevant industry engineering standards for subsea equipment, subsea tie-backs and critical operational requirements. The sessions will cover challenges associated with equipment design and installability, as well as a new module on subsea tie-backs. The primary learning objectives for this VILT course are met through a combination of interactive presentations, discussion and exercises. Training Objectives By the end of this VILT course, participants will be able to: Apply the requirements of related industry standards (API 6A/ 17D, API 17A etc.) engineering standards Understand the barrier and qualification requirements Identify the barriers in place given a specific mode of operation Evaluate and select which tree alternatives are valid based on the key design drivers Identify and describe the key design drivers Explain the importance of well kill rate Describe which tree alternatives are valid for certain scenarios based on an evaluation of the key tree design requirements Examine what effects subsurface requirements may have on tree design Understand the challenges associated with designing equipment for manufacturability and installability Recognise the implications of design changes to specific components and the effects on transportation and installation (such as what type of vessels, lifting equipment, and tools to use and the logistical requirements) Recognise the implication of design changes on manufacturability of subsea equipment Target Audience This VILT course provides a comprehensive understanding of the equipment used in subsea production systems. It is designed for petroleum engineers, production engineers, subsea project engineers and is also highly suitable for cost, planning, offshore installation and offshore operations engineers. Anyone directly or indirectly involved with subsea equipment will benefit from attending this VILT course - from engineers installing the equipment to procurement staff looking to understand more. Training Methods The VILT course will be delivered online in 4 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 4 half-day sessions, 4 hours per session (16 hours in total). Trainer Most of his working life, your expert course leader has been in a role that has enabled him to pass on skills and knowledge to others. A full-time role in Training and Development came about in 1996 with the offer to take up a full-time teaching post at Aberdeen College. In 1998, he was recruited by Kvaerner Oilfield Products, an Oil & Gas industry company, specialising in Subsea Control Systems, to develop and implement a Training & Competence program acceptable for its staff of over 600 and their client companies - a challenge he could not resist. In 2003, he broadened his horizons and became an independent Training & Development consultant. Building a reputation for delivering training and development to the Oil & Gas industry to the highest standards, he later joined Jee Ltd, a leading subsea engineering and training company based in Aberdeen. He was tasked with a wide portfolio of training, coaching & mentoring to achieve high levels of competence for the client's staff and customers. He is also a Science and Engineering Ambassador (Scotland), promoting the need for engineers and technicians for Scotland's industries, a frequent consultant to the European Economic & Social Committee for standardising Vocational Skills training and competence throughout the EU. He holds memberships in the Society of Operations Engineers, Chartered Institute of Personnel & Development and Society of Underwater Technologies. 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

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Agile Sprint Planning: In-House Training The goal of the course is to provide you and your team with the ability to develop effective and realistic Sprint plans. Without effective Sprint Plans, iterations are set up for failure. But Sprint Planning cannot be improved on its own, in isolation. The Scrum processes are highly intertwined and influence each other. The surrounding artifacts, events, and roles must be examined closely, and enhanced, in order to improve Sprint Planning. This course will remind you of the theory to reinforce the principles, but will concentrate on next-level skills, so that you and the team are able to create realistic and usable Sprint Plans. This course is not introductory. You are already aware of the Scrum framework and have been implementing Scrum on your projects. Now is the time to improve efficiency and effectiveness, to facilitate successful Agile projects. What you will Learn You'll learn how to: Identify and correlate the key symptoms and root causes of ineffective sprint plans Improve key Product Backlog elements Evaluate Agile roles in sprint planning Appraise key product practices Enhance project transparency The Product Backlog User stories Acceptance Criteria Backlog Refinement Supporting Roles Product Owner (the Backlog) Development Team Stakeholders and SMEs Supporting Product Practices Roadmaps and release plans and story maps Definition of Done Technical Debt Transparency Daily Scrums Information radiators Retrospectives Sprint Planning Capacity and Velocity Sprint Planning Meetings The Sprint Backlog Summary What did we learn, and how can we implement this in our work environments?

Agile Sprint Planning The goal of the course is to provide you and your team with the ability to develop effective and realistic Sprint plans. Without effective Sprint Plans, iterations are set up for failure. But Sprint Planning cannot be improved on its own, in isolation. The Scrum processes are highly intertwined and influence each other. The surrounding artifacts, events, and roles must be examined closely, and enhanced, in order to improve Sprint Planning. This course will remind you of the theory to reinforce the principles, but will concentrate on next-level skills, so that you and the team are able to create realistic and usable Sprint Plans. This course is not introductory. You are already aware of the Scrum framework and have been implementing Scrum on your projects. Now is the time to improve efficiency and effectiveness, to facilitate successful Agile projects. What you will Learn You'll learn how to: Identify and correlate the key symptoms and root causes of ineffective sprint plans Improve key Product Backlog elements Evaluate Agile roles in sprint planning Appraise key product practices Enhance project transparency The Product Backlog User stories Acceptance Criteria Backlog Refinement Supporting Roles Product Owner (the Backlog) Development Team Stakeholders and SMEs Supporting Product Practices Roadmaps and release plans and story maps Definition of Done Technical Debt Transparency Daily Scrums Information radiators Retrospectives Sprint Planning Capacity and Velocity Sprint Planning Meetings The Sprint Backlog Summary What did we learn, and how can we implement this in our work environments?

Portfolio Management for Stakeholders This course equips and enables project, program, and functional managers (line managers) to support and contribute to starting, restarting or sustaining the implementation and effectiveness of portfolio management in an organization. Emphasis is on improving collaboration and planning between functional business areas and project/program organizations responsible for delivering investments in business change through successful delivery of projects and programs. Good functional, project, and program managers become 'great' when they understand, advocate, and effectively contribute to achieving 'real' business value through portfolio management. What you Will Learn At the end of this program, you will be able to: Outline the benefits of portfolio management State the importance of linking the strategic objectives to the initiatives in the organization Chart the portfolio governance structure Assist in the inventory of ongoing and new initiatives Identify portfolio and sub-portfolio categories Support the PMO in the prioritization of initiatives using Multi-criteria Analysis and other selection tools Collaborate with the PMO in balancing the portfolio based on the optimal use of resources and priorities Participate in resource forecasting and planning Demonstrate thresholds and variance reporting criteria Describe the purpose of Stage Gate Funding Report status against a portfolio delivery plan Present your initiative in Stage Gate Reviews List the benefits that are being realized by the initiative Foundation Concepts Portfolio Life Cycles Portfolio Governance Prioritizing Initiatives Prioritize Foundation Multi-Criteria Analysis Analytical Hierarchy Process (AHP) Strategic Alignment Balancing the Portfolio Resources, Budgets, and Equipment Communicating Decisions Planning the Portfolio Planning Review Cycles Using Stage Gate Funding Setting Thresholds and Variance Reporting Tool Examples Portfolio Delivery 'Cycle' Project and Program Life Cycles Stage Gate Reviews Interaction with the Portfolio Delivery Board Project, Program, and Functional Managers Roles and Responsibilities

Managing Complex Projects As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

Managing Complex Projects: In-House Training As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environment As knowledge and technology expand exponentially, organizations are finding that the tools, processes, and methods used to select, plan, and manage their projects are insufficient for the challenges posed by them. Complex projects don't necessarily follow the rules of traditional projects - in many instances the projects' end-products, and the methods by which they will be produced, are not easily defined. Stakeholder diversity and geographical dispersion contribute to the difficulties project managers face in their efforts to gain acceptance of project goals, objectives, and changes. Additionally, hierarchic leadership styles, traditional lifecycle approaches, and traditional project manager competencies may no longer maximize the efficiencies that need to be realized on complex projects. The goal of this course is to provide participants with a working knowledge of project complexities and a framework for managing the ambiguities involved in today's fast-changing, competitive, and technology-based environments. What you Will Learn The learning objectives of this workshop are to enable participants to: Appreciate complexity and its impact on the management of projects Describe the differences among traditional, complicated, and complex projects Explain the effects of complexity on the PMBOK® Guide's process groups Apply a high-level model in the management of real- world projects Complexity and Projects Some characteristics of complex systems Important models/characteristics of complex projects Major players in project complexity Landscapes and project typologies A supplemental framework for complex projects Framing Framing overview Potential pitfalls in framing complex projects Possible solutions Inception Centrality of risk management PM competencies, selection Stakeholder identification, analysis Blueprint Collaborative planning Stakeholder engagements Alternative methodologies/life cycles Collaborative scheduling Procurement management Oversight, Navigation, and Adjustment Leadership and the project team Stakeholder management Networks Close and Continuous Improvement Transition/support Post-project evaluations Rewards/Recognition

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

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