1848 Courses in Leicester

This half-day workshop delivered face-to-face or online is designed for anyone in your organisation that wants to become a Neurodiversity Champion - someone who wants to educate and change the way that Neurodiversity is viewed in the workplace.

Develop a deep understanding of electricity pricing and marginal cost analysis with EnergyEdge's virtual instructor-led training course. Enroll now for a rewarding learning journey!

Excel but different. Harness this most powerful tool but on a course tailored to your business and needs. Using case studies relevant to your business and often actual files your firm uses on a daily basis we embark on a voyage of discovery. This isn't a boring "watch what I do and copy" course. This is exciting, engaging, funny and enjoyable. Delegates will learn relevant skills but also, because of the delivery methods they will gain an increased enjoyment of using Excel and will retain and implement all of the material covered. They also have access to the trainer for an unlimited amount of time after the course to continue to grow their knowledge

About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader 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. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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

In today's fast-changing competitive environment, people in all roles need to have more commercial awareness and responsibility.

About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry 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 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader 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. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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

Portfolio, Programme, and Project Offices (P3O®) Practitioner: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Practitioner Course is an interactive learning experience. The P3O Practitioner-level content provides you with sufficient knowledge and understanding of the P3O guidance to design, implement, manage or work within any component office of a P3O model. It enables participants to successfully complete the associated P30 Practitioner exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Practitioner exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn At the end of the P3O Practitioner course, you will be able to: Define a business case to get senior management approval for P3O Build a right P3O model to adapt to the organization's needs, taking account of the organization's size and portfolio, programme and project management maturity Identify the elements, roles, and functions deployed in a generalized P3O model Use tools and techniques in running the P3O and advising those who shape the portfolio of programmes and projects Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales Why have a P3O (Extension)? The P3O Business Case The P3O Model Blueprint Vision Statement Demonstrating the Value KPIs The Benefits of Claimed Capabilities Benefit Realisation and Strategic Objectives Benefit Profile How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques

Portfolio, Programme, and Project Offices (P3O®) Foundation: In-House Training P3O® is the AXELOS standard for the design of decision-making processes regarding changes in organizations. P3O provides a guideline for the design of portfolio, programme, and project offices in organizations. The P3O Foundation course is an interactive learning experience. The P3O Foundation-level content provides you with sufficient knowledge and understanding of the P3O guidance to interact effectively with, or act as an informed member of, an office within a P3O model. It enables you to successfully complete the associated P30 Foundation exam and achieve the qualification. In this course, you will be prepared to successfully attempt the P3O Foundation exam and learn how to implement or re-energize a P3O model in their own organization. What you will Learn Individuals certified at the P3O Foundation level will be able to: Define a high-level P3O model and its component offices List the component offices in a P3O model Differentiate between Portfolio, Programme, and Project Management List the key functions and services of a P3O List the reasons for establishing a P3O model Compare different types of P3O models List the factors that influence selection of the most appropriate P3O model for an organization Define the processes to implement or re-energize a P3O Benefits: Fast-track programme for those who want to achieve P3O Foundation qualification Practical case study and scenarios Attractive slides and course book Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Introduction to P3O What is the purpose of P3O? Definitions What are P3Os? Portfolio, programme, and project lifecycles Governance and the P3O Designing a P3O Model Factors that affect the design Design considerations What functions and services should the P3O offer? Roles and responsibilities Sizing and tailoring of the P3O model Why Have a P3O? How a P3O adds value Maximizing that value Getting investment for the P3O Overcoming common barriers Timescales How to Implement or Re-Energize a P3O Implementation lifecycle for a permanent P3O Identify Define Deliver Close Implementation lifecycle for a temporary programme or project office Organizational context Definition and implementation Running Closing Recycling How to Operate a P3O Overview of tools and techniques Benefits of using standard tools and techniques Critical success factors P3O tools P3O techniques

Train the Trainer, Trainer Development,

Change Management Foundation: In-House Training: In-House Training This course provides practical knowledge on Change Management techniques and the Foundation certification. You will examine various Change Management techniques and explore which could be effectively implemented in your organization. The structured approach helps you understand how you deal with change as an individual, as a member of a team or organization, and as a leader. The program design explores the impact that change has on these four major areas: Change and the Individual Change and the Organization Communications and Stakeholder Engagement Change Management Practice This course also prepares you for the APMG Change Management Foundation exam. Given that a primary course goal is to achieve the Foundation Certification, the course text will be provided in advance of the workshop so the participant may begin studying. In addition, daily homework assignments and practice exams will be provided. The Foundation-level exam is taken at the end of the third day of the Traditional Classroom course. Virtual Classroom participants must make separate arrangements to schedule their exam following course completion (See 'Important Note for Virtual Course Participants'). What You Will Learn You'll learn how to: Explain how individuals learn and why many may resist change Illustrate how to build an effective change team Describe the stakeholder engagement process and relate this to appropriate communication Differentiate various approaches to plan, implement, and sustain organizational change Demonstrate how to assess change impact and readiness, and deal with resistance Improve your ability to pass the APMG Change Management Foundation Certification exam Getting Started Introductions Course structure Course goals and objectives Change and the Individual How people learn Personality and change - introduction to MBTI Models of individual change - the Change Curve and Bridges' Transition Motivating individuals during change Change and the Organization Understanding organizational metaphors Organizational culture and change 3 models of change - Lewin, Kotter, and Senge Key roles in change Stakeholder Engagement Identifying and analyzing stakeholders Personas and empathy maps Influencing strategies Communication Feedback and communication approaches Communicating change - planning, factors, and barriers Communication biases and channels Change Impact Identifying and assessing change impact Stakeholder impact assessment Change severity assessment Change Readiness Building change agent networks and the change team How to make the organization ready for change Creating a change management plan Dealing with resistance to change APMG Change Management Foundation Exam Preparation Review of and practice with APMG sample questions and test papers APMG Change Management Foundation Exam Traditional Classroom: Paper-based exams will be taken on the last day of class Virtual Classroom: The exam is scheduled by the Participant and taken subsequent to the course