680 Model courses in London

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

ID LINER RUN ONE SKILL UP PERMANENT MAKEUP TRAINING COURSE PER QUARTER TO HELP TRAINEES HONE AND DEVELOP THEIR SKILLSET. THESE COURSES REVIEW AND IMPROVE HOW YOU CURRENTLY WORK, INTRODUCING MORE ADVANCED TECHNIQUES TO TAKE YOU TO THE NEXT LEVEL.

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

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NETCONF and YANG training course description An introduction to NETCONF and YANG. The course progresses from what they are, why they are needed, and how to configure them onto a more detailed analysis of how NETCONF works and how to read YANG models. What will you learn Recognise the limits and problems of SNMP and the CLI. Describe the relationship between NETCONF and YANG. Configure NETCONF on network devices. Use NETCONF to configure devices. Read YANG models. NETCONF and YANG training course details Who will benefit: Network engineers. Prerequisites: Network management technologies Duration 1 day NETCONF and YANG training course content What are NETCONF and YANG? Network management and configuration issues. What is NETCONF? What is YANG? Protocols, data models, architecture. Hands on Configuring NETCONF on network devices, using NETCONF. NETCONF NETCONF layers, Secure transport: SSH, Messages: rpc, Operations, Content. Base operations: <get>, <get-config>, <edit-config>, <copy-config>, <delete-config>, <lock>,<unlock>, <close-session>, <kill-session> NETCONF datastores: :candidate, :startup, running. Hands on Retrieving a configuration with NETCONF, Editing a configuration with NETCONF. NETCONF more details NETCONF traffic flows, NETCONF capabilities, hello, capabilities exchange., Filtering data, atomic transactions, validating configurations. Hands on Using NETCONF. YANG YANG models, IETF standard YANG models, tree diagrams, an example: YANG interface management, Module header, Imports and includes, Containers, Lists, leaves, Data types, typedef, Instance data, XML. Hands on Reading YANG data models, creating a configuration instance.

Plasma pen fibroblast training for the face and body including soft surgery. Train one to one or very small groups. International accreditation. Lifelong support. Train with Carol May LMA Skin Clinic. On completion you will be able to offer your clients: Wrinkle rejuvenation & face lifting Hooded eyes & eye bags Glabella lines Nasal labia Marionette lines Neck lines Stretch marks & scar repair Mole removal Skin tags Cherry angioma Thread veins Xanthelasma Seborrheic keratosis plus many more soft surgery options You will benefit from online pre study plus in-clinic training and ongoing support Models can be provided if required You will receive a genuine medical grade plasma device (not electrical arcing) Total price is £2400 Your training fee can be paid in installments with Klarna We welcome national and International students

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment

Decision Making and Problem Solving: In-House Training We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan

Decision Making and Problem Solving (In-Person) We may live in an era of fast technology and increasing reliance upon automation, but our human abilities to think critically, make careful decisions, and solve nuanced problems are more important than ever. Our personal lives depend on those things, and so do the lives of our organizations. Since business is now conducted at remarkable speeds, we put our organizations at great risk daily when we have weak competencies with decision-making and problem-solving. Decisions and solutions that are executed impulsively and without structured approaches can create more problems or make existing ones worse! This course aims to help participants improve their skills so they can execute well and add value to the workplace. Learners will experience multiple decision-making and problem-solving models, tools, and techniques meant for the real world. They will learn how to align their growing toolboxes with the right situational contexts so that they can transfer that skill to the workplace. They will also discover how indecision, cognitive bias, and default thought processes can create obstacles to effective decision-making and problem-solving. What you will Learn Recognize the importance of making a sound decision in a timely manner Infer types of cognitive biases and obstacles that impact decision-making Separate facts, requirements, ideas, and perceptions when making a decision or solving problems Apply structured decision-making and problem-solving approaches Conduct cause and effect and Force Field analyses Evaluate alternative solution methods using various techniques Analyze real world situations to determine the best aligned decision-making and problem-solving models, tools, and techniques Implement decision-making and problem-solving models, tools, and techniques Getting Started Foundation Concepts Contextualizing decisiveness and problem-solving Discriminating between decisiveness and problem-solving Understanding Decision-Making Decision-making challenges and impacts Key drivers of good decision-making Thought processes and obstacles Knowledge, skills, and abilities (KSAs) Decision-Making Models and Supporting Tools Decision-making models, tools, and guidelines Tools to evaluate alternatives Translating requirements into action Problem-Solving Defining the problem Problem-solving models Cause and effect analysis Quick hit vs. innovative problem-solving Summary and Next Steps Course summary Personal action plan

EQ is a pattern of how people's biases in their thinking leads them to think one choice or thing is better than another, as well as their clarity in differentiating within those biases to exercise clear and sound judgement. Where your thinking and responses lie within your biases spectrum, and your ability in adjusting to the situation you find yourself in, will determine responses equating to poor or strong Emotional Intelligence (EI). This course will enhance and promote the skill set necessary for any working leader or manager, allowing our in-depth emotional intelligence knowledge to be applied into your working environment. From an employer's perspective, this award can be a significant long-term return on investment by further developing your leaders and managers. What Does This Course Offer? Our program offers an EQ-SWOT™ assessment and EI Model in detail, and through activity and discussion we explore how applying and possibly adjusting, you may offer an improved Emotional Intelligence. Our learning experiences are successful because the outcomes are quickly embedded and demonstrate an immediate visible impact on the day-to-day working environment. Our engaging learning inspires employees to want to personally add value to the companies they work for. We also offer our Paradigm EQ-SWOT™ online assessment and report as a frame of reference within the program. This assessment should be completed before attending the program, and will be expanded upon during the program delivery. Course Content The Emotional Intelligence for Today’s Leadership and Management course covers the following topics: What makes EI so important within the workplace Self-Awareness and your EQ Profile The EQ unpacked Unconscious Bias & EI How to develop your EI quotient Accreditation Activity Our accredited tutors deliver training that encourages delegates to confidently and practically apply all they have learnt as soon as they get back into the business. To achieve this award, delegates need to prepare and deliver a 3 minute presentation* on the highlights of their learning and immediate application avenues when back in their working environment. *Participants will be given 30 minutes during the program to prepare for their 3 min presentation at the end of the program. Scheduled Course Dates Unfortunately this course is not currently scheduled as an open course as it is primarily run as an in-house programme. For more information, please contact us. In-House Courses This is our own management training course which has been developed and refined over the many years we have been providing it to delegates from organisations in virtually every industry. This means that the course syllabus is extremely flexible and can be tailored to your specific requirements. If you would like to discuss how we can tailor this management training course for you and/or run it at your premises, please contact us.