138 Policy courses in London

Public Speaking Courses That Work Our public speaking courses are refreshingly different and transformative. Mindful presenting is the key to the future of high impact public speaking training. In fact, we are changing organisations one presentation at a time. We do that by providing training that empowers and equips professionals to present with greater confidence, clarity and impact.

Public Speaking Courses That Work Our public speaking courses are refreshingly different and transformative. Mindful presenting is the key to the future of high impact public speaking training. In fact, we are changing organisations one presentation at a time. We do that by providing training that empowers and equips professionals to present with greater confidence, clarity and impact.

1 TO 1 WORKSHOP £95.00 Are you looking for advice and learning in a personal way? Do you want to have someone just for you to help you develop a project? We have a team of experienced technicians who can assist you and guide you with your project. This workshop is a session when you can get to ask and do whatever you want. Ideal for people with a clear idea of what they want to get from a workshop. We offer a 1 to 1 workshop on paper printing, fabric printing and t-shirt printing, from beginners to intermediate level.   Please, take into consideration that 1to1 for project support would include some added cost, but you will still need to supply your own fabrics and inks. Check with us what would be included or not in your 1to1 before booking to avoid disappointment.   The workshop would be 4 hours and it can be booked from Monday to Friday, depending on availability.   We will need at least one week notice to make sure we have someone available for the date you need, the earlier you can book the better to avoid disappointment. Email hello@3rdrailprintspace.co.uk to request and confirm your date. _ Cancellation Policy: This booking in non refundable, if you need to change the date of your booking please let us know with a minimum of one weeks notice and we can arrange another date with our team. Last minute cancellations or changes are non transferable, and will need to be repurchased if a change of date is required.

About this Training Course This intensive 5 full-day has been designed as a separately bookable course comprising 3 days of Well Integrity (Basic) and 2 days of Advanced Well Integrity. The intensive 3 full-day course will equip the participants with a thorough knowledge of well integrity management and risk assessment in producing assets. Based on the regulatory requirements and using real examples and exercises from around the world, this represents best practice integrity management within the oil and gas industry. When to take action with a well is a critical decision, both from a safety and economic perspective. A consistent approach to decision-making provides certainty within the organisation, focusing effort, and spending wisely. The decision-making steps will be set out to ensure all critical aspects are captured consistently. Risk analysis approaches used by different organisations and examples of risk management and risk-ranking methods will be discussed. The 2 full-day course will deepen the participants' knowledge of well integrity management, and skills for designing, operating, and maintaining well equipment. The ultimate goal is to optimise productivity at the lowest Unit Operating Cost (UOC) and to maintain mechanical integrity throughout well life cycle. Well Integrity management is looked at in three distinct stages. The first stage is during the well design which includes material selection, engineering design, cement design, coating and inhibitors and cathodic protection. The second stage is monitoring the well during the life of the well, locating possible leaks and / or loss of metal. The last stage is to manage and control any well integrity issues using specialised products, services and techniques. Training Objectives 1. Well Integrity Training: Upon completion of this course, the participants will be able to: Define the building blocks of a successful well integrity management system Develop an approach to risk management, understand risk analysis and methods applied across the industry How do we 'Make Wells Safer', learn about emerging technologies for well integrity problem diagnosis and new techniques available to 'repair' the issues Execute the basic elements of well integrity management training for field operators Evaluate well design elements that enhance or hinder well integrity status definition during the operating phase of the well life-cycle Gain the demonstrable benefits of well integrity management from field experience Review cases studies and discuss them to enhance knowledge and take on board lessons learned 2. Advanced Well Integrity: Define well integrity well categorization based on compliance to the barrier policy outlined in the regulations and develop an approach to risk management Discuss well-completion design and construction to create a 'integer' well with the lowest life cycle maintenance cost from a WIM perspective Monitoring and surveillance of well integrity, focusing on barrier competence such as cementing and corrosion Investigate and manage well integrity issues, causes & potential solutions Understand repairs needed to address 'Loss of Well Operating Envelope' Gain an overview understanding of Well Suspension & Well Abandonment Discuss further case studies as well as conduct a post course test Target Audience Invaluable for production, operations, and integrity professionals involved in implementing & managing well integrity and seeking to improve performance. It is also essential for those who need to develop and implement such systems, or who have a general need to know and understand more about well integrity management. The course will also provide a fresh approach for senior professionals and managers. Designed for professionals in the oil and gas industry who are involved in the design, construction and operation of wells from the following disciplines: Production Maintenance Production Operations Drilling Engineering Safety engineering Well Intervention Well Integrity Engineering Asset Management Course Level Intermediate Advanced Trainer Gordon Duncan has over 40 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in well intervention and completions. After a number of years working for intervention service companies (completions, slickline & workovers), he joined Shell as a well service supervisor. He was responsible for the day-to-day supervision of all well intervention work on Shell's Persian/Arabian Gulf platforms. This included completion running, coil tubing, e-line, slickline, hydraulic workovers, well testing and stimulation operations. An office-based role as a senior well engineer followed. He was responsible for planning, programming and organising of all the well engineering and intervention work on a number of fields in the Middle East. He had a brief spell as a Site Representative for Santos in Australia before joining Petro-Canada as Completions Superintendent in Syria, then moved to Australia as Completions Operations Superintendent for Santos, before returning to Shell as Field Supervisor Completions and Well Interventions in Iraq where he carried out the first ever formal abandonment of a well in the Majnoon Field. While working on rotation, he regularly taught Completion Practices, Well Intervention, Well Integrity and Reporting & Planning courses all over the world. In 2014, he started to focus 100% on training and became the Technical Director for PetroEDGE. Since commencing delivering training courses in 2008, he has taught over 300 courses in 31 cities in 16 countries to in excess of 3,500 participants. 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

About this Virtual Instructor Led Training (VILT)  Electrification of the transportation sector will impact the power system in several ways. Besides the additional load, local impact on the grid needs to be managed by the grid operators. Simultaneously charging of many electric vehicles (EVs) might exceed the limits in specific locations. On the other hand, EVs can provide flexibility and other ancillary services that will help grid operators. This 3 half-day VILT course will provide a complete overview of integrating electric vehicles (EVs) into the power grid. It will cover the whole value chain from grid operations to the car battery. This includes the control room, possible grid reinforcement, demand side management and power electronics. This course will demonstrate the impact on the grid and solutions for a safe & cost-effective grid plan and operation, with examples of successful integration of EVs. The course will also provide vital knowledge about technology used for EVs such as power electronics, demand side management, communication and batteries. In this context, the focus will be on power electronics as it has the highest impact on the grid. The grid planning tool, pandapower, is introduced as an open source tool for power system modelling. The set-up of the training course allows for discussion and questions. Questions can be formulated by the participants upfront or during the training. This course is delivered in partnership with Fraunhofer IEE. Training Objectives At the end of this course, the participants will: Understand the charging options for EVs and its impact on the grid and batteries Identify system services for EVs with regards to voltage quality at the point of common coupling Discover what are the 'grid friendly' and grid supporting functions in EVs Uncover the different applications, standards and data researched on EVs Examine the application of a grid planning tool (pandapower) for power system modelling Be able to develop code snippets with pandapower Apply and execute a code example for power system modelling with pandapower Target Audience EV and grid project developers and administrators Power grid operators and planners EPC organisations involved in grid development EV/ battery manufacturers and designers EV transport planners and designers Government regulators and policy makers Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes breaks per day, including time for lectures, discussion, quizzes and short interactive exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10 mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end of every session/day. Trainer Our first course expert is Head of Department Converters and Electrical Drive Systems at Fraunhofer IEE and Professor for Electromobility and Electrical Infrastructure at Bonn-Rhein-Sieg University of Applied Sciences. He received his engineering degree in automation in 2008 by the THM Technische Hochschule Mittelhessen (FH Giessen-Friedberg). Afterwards he studied power engineering at University of Kassel and received his diploma certificate in 2010. In 2016 he received the Ph.D. (Dr.-Ing.) from the University of Hannover. The title of his dissertation is Optimized multifunctional bi-directional charger for electric vehicles. He has been a researcher at the Fraunhofer IEE in Kassel since 2010 and deals with power converters for electric vehicles, photovoltaics and wind energy. His current research interests include the bidirectional inductive power transfer, battery charger and inverter as well as new power electronic components such as SiC MOSFETs and chokes. Additionally, our key expert is Chairman of the IEEE Joint IAS/PELS/IES German Chapter and a member of the International Scientific Committee of the EPE Association. Our second course expert is deputy head of energy storage department at Fraunhofer IEE. Prior to this he was the Director of Grid Integration department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, our course expert was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a degree of electrical engineering of the University of Kassel, Germany. In 2003 he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the 'Institute of Solar Energy Supply Technology' (now Fraunhofer IEE) in Kassel. In 2004 he started his career at RWE TSO with main focus on wind power integration and congestion management. Our course expert is chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Our third course expert is Research Associate at Fraunhofer IEE. He is actively working on different projects related to the integration of electric vehicle charging into the electric distribution grid. The focus of this work concerns time series based simulations for grid planning and operation in order to investigate the effect of a future rollout of electric vehicles and charging infrastructure on economics e.g. costs for grid reinforcement. He completed his master degree (MSc.) in Business Administration and Engineering: Electrical Power Engineering at RWTH Aachen University, Germany. Our trainers are experts from Fraunhofer Institute for Energy Economics and Energy System Technology (Fraunhofer, IEE), Germany. The Fraunhofer IEE researches for the national and international transformation of energy supply systems 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

Python Basics: Course Description Excellent for beginners, practical, in small groups of max 4 people, 1 Day Online Instructor-led. You could contact us for your prefereed date. Session 1: Python Data Types and Variables: Primitive types; Characters & Strings; Boolean; Working with variables and its scope; Conversion and casting types in Python. Operators and Expressions: Introduction of operators; Arithmetic operators; Relational operators; Assignment operator; Logical operators; Increment and decrement operators.. Exercise: Calculate Movie Tickets for a Party, Are there enough seats in the cinema? Decision Making & Loops If statement; If - else statement; If- elif - else statement; Nested if - else; Exercise: Calculate the travel fee to deliver goods The while, For loop Jump statements: break, continue; Nesting loops. Exercise: Enter a password, if incorrect 3 times, you are blocked. Session 2: Data Structures Lists. Tuples. Exercise: Hangman Game Exercise: Get a word for the game from a Json File, store the high score in a Dictionary file Session 3: Files and exceptions Exception Handling, Exception types; Using try and Except. Files, streams: Open, Traverse, Read and Create Files: Csv, txt and Json Files. API: Connecting to API’s. Session 4: OOP Creating and using custom Functions. Using parameters and return values. Creating a Class; Creating an Object; Using an Object; Adding Instance variables; Class Constructors; Parameterized Constructors. Inheritance. Override. Session 5: Pandas Dataframe Basics Getting data into a dataframe: Dict to Dataframe, Dataframe to Dict. Excel To Dict, Dict to Excel , working with Excel data, multiple Excel sheets. Getting information about the dataframe, Filter, sort and query a Dataframes, Slicing Dataframes, Duplicate values,Working with null-values, Sampling. Exercise: Query the top 1000 grossing movies of the last century Session 6: Built in Functions: String, Math, Random Python built-in functions: Strings functions. Maths functions. Random Functions. Exercise: Find information in prose, to get the sentiment of the prose. Exercise: Get a word for the game from a txt File Exercise: Win the lottery Included: PCWorkshops's Python Programming Basics Certification Course notes, exercises and code examples Revision session after the course Refund Policy No Refunds

Professor Meredith A. Crowley, Professor of Economics at Cambridge University, will give the 2025 IFS Annual Lecture on "Trade Wars and the Future of Globalisation". The world enjoyed a dramatic fall in policy barriers to international trade and rising international integration of national markets throughout the 1990s and 2000s. However, since 2010, trade integration has stalled, with the global trade to GDP ratio hovering around 30 percent. Over the last fifteen years, the world has witnessed Britain’s exit from the EU, the 2018 US-China Trade War, major trade sanctions against Russia, and, most recently, the threat of broader American trade restrictions. This lecture will examine recent evidence on exporting firms in multiple countries and suggest new approaches to evaluating the price and welfare impacts of market fragmentation due to Brexit and the US-China Trade War. Meredith A. Crowley is a Professor of Economics at the University of Cambridge, a Fellow of St. John’s College Cambridge, President of the International Economics and Finance Society, and a Research Fellow at the Centre for Economic Policy Research (CEPR – London). Her research, focused on international trade, trade policy, and exchange rates has been published in numerous peer-reviewed journals including the American Economic Review and the Journal of International Economics. She has appeared or been cited in over 100 print and broadcast media outlets including the BBC, The New York Times, The Washington Post, The Economist, The Financial Times, The Guardian, The Telegraph, The Times and National Public Radio (US). Prior to arriving at Cambridge in 2013, Crowley worked in the Research Department of the Federal Reserve Bank of Chicago. She has taught at Georgetown University, the Shanghai University of Finance and Economics, and Nanjing University. She has presented her research at central banks and international institutions around the world, including the International Monetary Fund, the World Bank, and the World Trade Organization. Crowley received her MPP from Harvard University and her PhD in Economics from the University of Wisconsin-Madison.

Osteopathic palpation of the involuntary mechanism and paediatric/developmental anatomy of the cranium, membranous/fascial & fluid systems Course Title: OCC Access Course Dates: 14, 15 and 22 September 2024 (minimum 6 contact hours per day) Location: OCC, Canopi Building 7 - 14 Great Dover Street, London, SE1 4YR Osteopaths studying on our postgraduate courses need to have acquired hands-on skills beyond their undergraduate training. Our Access Course provides tailored training to introduce & nurture palpation of the involuntary mechanism and paediatric/developmental anatomy of the cranium, membranous/fascial & fluid systems to prepare less experienced osteopaths for further paediatric training. Our experienced faculty will deliver this 3-day course, which enables osteopaths to reach the required standard for entry onto the OCC courses and does not limit our osteopaths to any one technical style. These days can also be useful to osteopaths who want to refresh or enhance previously acquired skills & can be attended as individual days if space permits. Course Content: Day 1 - Saturday 14th September – Vault & base osteology, applied anatomy & motion – RTM & venous sinuses – Sacral /pelvic anatomy & motion Day 2 - Sunday 15th September – SBS patterns, theory & palpation – Fascia – Fluid – CNS Day 3 - Sunday 22nd September – Viscerocranium anatomy, osteology & motion – Principles of treatment – Intra oral techniques – Condylar parts osteology, applied anatomy & treatment All 3 days will be delivered in small groups to facilitate individual learning and needs. Most of the teaching will take place at the tables with very little lecture material & will include demonstrations interwoven with appropriate practical sessions. This is designed to deliver theory but in a very practical hands-on way. In order to provide this level of supervision numbers will be limited, and places are allocated on a ‘first come first served’ basis. For more info call 0208 875 5291 or email educationregistrar@occ.uk.com Cancellation Policy The OCC/FPO reserves the right to postpone this course if circumstances change. Eventbrite’s processing fee is non-refundable, so in the event that the course is cancelled by the OCC/FPO, all fees (excluding Eventbrite’s fee) will be refunded. Should circumstances mean that you have to cancel your place on this course, the OCC/FPO regrets to inform that no refunds can be given unless we are able to re-sell your place. Please note, the OCC/FPO does not accept responsibility for any expense you incur (such as travel and accommodation costs), so please do consider this before registration. occ.uk.com/continuing-professional-development The Osteopathic Centre for Children is the clinical arm of the Foundation for Paediatric Osteopathy. Registered Charity: 1003934

About this Virtual Instructor Led Training (VILT) Hydrogen will play an increasingly critical role in the future of energy system as it moves forward to supplement and potentially replace fossil fuels in the long run. Offshore wind offers a clean and sustainable renewable resource for green hydrogen production. However, it can also be volatile and presents inherent risks that need to be managed. Even though offshore production of hydrogen has yet to achieve a high state of maturity, many current projects are already dealing with the conditions and effects of offshore production of hydrogen and are grappling with the technological requirements and necessary gas transportation with grid integration. This 2 half-day Virtual Instructor Lead Training (VILT) course will examine the technological options for on-site production of hydrogen by electrolysis (onshore or offshore directly at the platform) as well as the transport of hydrogen (pipeline or ship). This VILT course will also explore the economic considerations and the outlook on future market opportunities. There will be exercises for the participants to work on over the two half-days. This course is delivered in partnership with Fraunhofer IEE. Training Objectives By the end of this VILT course, participants will be able to: Understand the technological attributes and options for green hydrogen production based on electricity from offshore wind. Explore the associated economic analysis for offshore wind hydrogen production, including CAPEX, OPEX, LCOE and LCOH Identify the critical infrastructure and technical configuration required for offshore green hydrogen including transportation networks and grid connectivity Learn from recent findings from current Research & Development projects concerning the differences between onshore and offshore hydrogen production. Target Audience This VILT course is intended: Renewable energy developers and operators Offshore oil & gas operators Energy transport and marine operators Energy policy makers and regulators IPPs and power utilities Training Methods The VILT course will be delivered online in 2 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 2 half-day sessions, 4 hours per session (8 hours in total). Trainer Trainer 1: Your expert course leader is Director of Energy Process Technology Division at the Fraunhofer Institute for Energy Economics and Energy System Technology, IEE. The research activities of the division link the areas of energy conversion processes and control engineering. The application fields covered are renewable energy technologies, energy storage systems and power to gas with a strong focus on green hydrogen. From 2006 - 2007, he worked as a research analyst of the German Advisory Council on Global Change, WBGU, Berlin. He has extensive training experience from Bachelor and Master courses at different universities as well as in the context of international training activities - recently on hydrogen and PtX for partners in the MENA region and South America. He holds a University degree (Diploma) in Physics, University of Karlsruhe (KIT). Trainer 2: Your expert course leader is Deputy Head of Energy Storage Department at Fraunhofer IEE. Prior to this, he was the director of the Grid Integration Department at SMA Solar Technology AG, one of the world's largest manufacturers of PV power converters. Before joining SMA, he was manager of the Front Office System Planning at Amprion GmbH (formerly RWE TSO), one of the four German transmission system operators. He holds a Degree of Electrical Engineering from the University of Kassel, Germany. In 2003, he finished his Ph.D. (Dr.-Ing.) on the topic of wind power forecasting at the Institute of Solar Energy Supply Technology (now known as Fraunhofer IEE) in Kassel. In 2004, he started his career at RWE TSO with a main focus on wind power integration and congestion management. He is Chairman of the IEC SC 8A 'Grid Integration of Large-capacity Renewable Energy (RE) Generation' and has published several papers about grid integration of renewable energy source and forecasting systems on books, magazines, international conferences and workshops. Trainer 3: Your expert course leader is Deputy Director of the Energy Process Technology division and Head of the Renewable Gases and Bio Energy Department at Fraunhofer IEE. His work is mainly focused on the integration of renewable gases and bioenergy systems into the energy supply structures. He has been working in this field since more than 20 years. He is a university lecturer in national and international master courses. He is member of the scientific advisory council of the European Biogas Association, member of the steering committee of the Association for Technology and Structures in Agriculture, member of the International Advisory Committee (ISAC) of the European Biomass Conference and member of the scientific committees of national bioenergy conferences. He studied mechanical engineering at the University of Darmstadt, Germany. He received his Doctoral degree on the topic of aerothermodynamics of gas turbine combustion chambers. He started his career in renewable energies in 2001, with the topic of biogas fired micro gas turbines. Trainer 4: Your expert course leader has an M. Sc. and she joined Fraunhofer IEE in 2018. In the Division of Energy Process Technology, she is currently working as a Research Associate on various projects related to techno-economic analysis of international PtX projects and advises KfW Development Bank on PtX projects in North Africa. Her focus is on the calculation of electricity, hydrogen and derivative production costs (LCOE, LCOH, LCOA, etc) based on various methods of dynamic investment costing. She also supervises the development of models that simulate different PtX plant configurations to analyze the influence of different parameters on the cost of the final product, and to find the configuration that gives the lowest production cost. She received her Bachelor's degree in Industrial Engineering at the HAWK in Göttingen and her Master's degree in renewable energy and energy efficiency at the University of Kassel. 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

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds