12136 Environment courses in Prescot delivered Online

About this Training Course Wind has surpassed hydro-power generation in many countries recently. Wind energy offers many advantages, which explains why it's one of the fastest-growing energy sources in the world. The following are the advantages of wind power: Wind power is cost effective: Land-based utility-scale wind is one of the lowest-priced energy sources available today The fuel for wind power is free. This reduces the operation and maintenance cost of wind power plants significantly Wind is a clean source of power generation that does not pollute the air like power plants which rely on combustion of fossil fuel Wind power plants create jobs. Wind turbine technician is the fastest growing career in many countries Wind enables industry growth and competitiveness due to its low cost Wind power is a domestic source of energy. The wind supply is abundant and inexhaustible. The wind power generation capacity has become the largest source of renewable power in many countries Wind turbines can be built on existing farms and ranches. This greatly benefits the economy in rural areas, where most of the best wind sites are found. Wind power plant owners make rent payments to the farmers or ranchers for the use of their land, providing landowners with additional income This 5 half-day course covers all aspects of wind power plants including evaluation of a potential location for a wind power plant using wind data and using statistical distributions to approximate available wind energy at a wind power plant site. It provides also an in-depth understanding of all wind power plant equipment including wind turbines, generators, instrumentation and control systems, drive trains, gearboxes, doubly fed induction generators, synchronous generators, nacelles, towers, transformers, etc. The economics of a wind power plant including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, economic decision making, rate of return from a wind power plant, economic life and replacement of a wind power plant as well as the cost of electricity from wind power plants are covered in detail in this course. A thorough explanation of the design, operation and maintenance of on-shore and off-shore wind farms is presented in detail in this course as well as all the significant improvements that have been made to wind power generating plants during the last two decades. Training Objectives Evaluation of a Potential Location for a Wind Power Plant Using Wind Data: Learn how to evaluate the potential location for a wind turbine power plant using wind data. Using Statistical 'Rayleigh' Distribution to Approximate Available Power Generation from a Wind Turbine at a Specific Site: Learn how to use statistical 'Rayleigh' distribution to approximate available power generation from a wind turbine at a specific site. Calculate the Wind Energy Available at a Site: Gain an understanding on how to calculate the wind energy available at a site. Rated Capacity of a Wind Facility and Capacity Factor: Understand how to determine the rated capacity of a wind facility and its capacity factor. Designing a Wind Power Generating Plant: Learn how to design a wind power generating plant. Wind Power Plant Equipment Operation and Maintenance: Understand the operation and maintenance requirements for all wind power plant equipment including wind turbines, generators, nacelles, towers, transformers, etc. Wind Power Plant Instrumentation and Control Systems: Gain a thorough understanding about the latest instrumentation and control systems of wind power plants. Economics of Wind Power Plants: Gain a thorough understanding of the economics of wind power plants including economic analysis of wind power generation, economic comparison between a large- and small-scale wind power plant, comparison of alternatives, rate of return from a wind power plant, financial statements for a wind power plant, cost of electricity from a wind power plant, and levelized cost of wind energy.   Target Audience Engineers of all disciplines Managers Technicians Maintenance personnel Other technical individuals Training Methods Your specialist course leader relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught to their own organization. Each delegate will receive a soft copy of the following materials written by the instructor: POWER GENERATION HANDBOOK' second edition, published by McGraw-Hill in 2012 (800 pages) Wind Power Generating Plant Manual (500 pages) 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

This module aims to develop knowledge and understanding of the role of logistics including an understanding of air, sea, road and rail freight and courier services. It will explore the advantages and disadvantages of using the different modes of transport the world of international trade.

ICA Advanced Certificate in Practical Customer Due Diligence (CDD) Course The CDD training course covers best practice in dealing with Customer Due Diligence and working with CDD documentation. Adequate due diligence on new and existing customers has never been so instrumental to protecting a business from reputational, operational, legals and financial risks. Designed for KYC Analysts and professionals working with the CDD process, this course provides a practical qualification in CDD that will help you make clear and informed CDD judgements. In doing so, this course will also improve your ability to identify areas of potential risk for your firm in relation to Customer Due Diligence. Benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Students who successfully complete the course will be awarded the ICA Advanced Certificate in Practical Customer Due Diligence and will be entitled to use the designation- Adv.Cert(CDD) This qualification is awarded in association with Alliance Manchester Business School, the University of Manchester. This three workshop training programme will use CDD documents and hands-on learning to cover the following topics: Outcomes and success criteria of KYC Identification and verification Understanding the customer Understanding the relationship Beneficial ownership Understanding the control structure of the entity Customer screening Risk acceptance Enhanced due diligence How will you be assessed? Three hour examination which comprises multiple choice questions and short form written response questions (including a section where you will be provided with a set of CDD documentation and asked to assess the information/respond to questions based upon them.) Pre-reading/exercises/tasks to be completed in advance of virtual workshops, delivered via the online learning platform. Four compulsory virtual classrooms covering key areas and embedding them through discussions and practical exercises (workshops are compulsory as part of the exam is based on the case study used in the workshops). The innovative workshop exercises that use mock CDD documents, genuinely reflecting the practical issues encountered in the CDD environment.

Duration 1 Days 6 CPD hours This course is intended for The audience for this course is individuals who want to learn the fundamentals of database concepts in a cloud environment, get basic skilling in cloud data services, and build their foundational knowledge of cloud data services within Microsoft Azure. Overview Describe core data concepts Identify considerations for relational data on Azure Describe considerations for working with non-relational data on Azure Describe an analytics workload on Azure In this course, students will gain foundational knowledge of core data concepts and related Microsoft Azure data services. Students will learn about core data concepts such as relational, non-relational, big data, and analytics, and build their foundational knowledge of cloud data services within Microsoft Azure. Students will explore fundamental relational data concepts and relational database services in Azure. They will explore Azure storage for non-relational data and the fundamentals of Azure Cosmos DB. Students will learn about large-scale data warehousing, real-time analytics, and data visualization. 1 - Explore core data concepts Identify data formats Explore file storage Explore databases Explore transactional data processing Explore analytical data processing 2 - Explore data roles and services Explore job roles in the world of data Identify data services 3 - Explore fundamental relational data concepts Understand relational data Understand normalization Explore SQL Describe database objects 4 - Explore relational database services in Azure Describe Azure SQL services and capabilities Describe Azure services for open-source databases 5 - Explore Azure Storage for non-relational data Explore Azure blob storage Explore Azure DataLake Storage Gen2 Explore Azure Files Explore Azure Tables 6 - Explore fundamentals of Azure Cosmos DB Describe Azure Cosmos DB Identify Azure Cosmos DB APIs 7 - Explore fundamentals of large-scale data warehousing Describe data warehousing architecture Explore data ingestion pipelines Explore analytical data stores 8 - Explore fundamentals of real-time analytics Understand batch and stream processing Explore common elements of stream processing architecture Explore Azure Stream Analytics Explore Apache Spark on Microsoft Azure 9 - Explore fundamentals of data visualization Describe Power BI tools and workflow Describe core concepts of data modeling Describe considerations for data visualization

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

Obtain The Assessor's Qualification through our comprehensive teaching and assessing courses at Kleek Training. Develop the skills and knowledge needed to effectively assess learners. Enquire today!

Forestalling Workplace Discrimination Certification Being a survivor of work environment separation and provocation is a heartbreaking reality for such a large number of laborers across the UK. Ongoing measurements show that more than half of ladies have been the survivor of badgering, with comparable numbers being accounted for by numerous people with ensured qualities. Undeniable degrees of segregation and badgering can detrimentally affect your labor force, including diminished efficiency, higher turnover and low general assessment. Figuring out how you, as a representative, can forestall separation and badgering in the working environment can prompt a better and seriously enabling climate. This course gives you significant data about forestalling work environment segregation and badgering, zeroing in on the job of the worker. It starts by giving you the lawful foundation behind those terms. Then, it covers the examples that are apparent in work environments with tolerant mentalities towards segregation and provocation. Explicit procedures that representatives and managers can execute are examined straightaway. At long last, the last module diagrams what to do, in the event that you witness or are a casualty of working environment provocation or prejudicial recruiting or advancement rehearses. You will Learn: What a 'ensured trademark' is; Insights regarding the enactment that covers badgering and separation at work; Tips on the most proficient method to perceive a poisonous working air; How looking into the recruiting and advancement practices of an organization can show the degree of separation that you can expect experiencing; What a zero-resistance strategy is, and why your organization ought to have one; Data on what comprises a reasonable grumblings measure. Advantages of Taking this Course: Studying work environment separation and provocation, including the meanings of each term; Seeing how corporate culture and degrees of consistency mirror the probability of experiencing separation or provocation at work; Realizing what data ought to be in worker preparing programs, if a work environment is not kidding about forestalling provocation and segregation; Figuring out how to build up an objections interaction that is reasonable for everybody included; Understanding what steps you should take, on the off chance that you witness or are the survivor of badgering or segregation at work.

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Management of Value (MoV®) Foundation: Virtual In-House Training This interactive MoV® Foundation course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn Upon completion of an MoV course candidates should be able to discuss and explain: The main processes and techniques used within MoV and the reasons for using them How MoV may be applied at portfolio, program, project and operational levels The differences in applying MoV at different stages in a project and the expected outputs from a MoV Study at each stage The circumstances under which MoV should be used The concept of value and how value may be improved The main benefits arising from the use of MoV Approaches for implementing MoV How to respond to external and internal influences The principles of embedding MoV into an organization The key topics in document checklists, the toolbox, health check, organizational maturity and individual competence. Upon successful completion of this course, you will be able to: Organize and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach and environment Analyse a company, program or project to establish its organizational value; includes identification and weighting of Value Drivers Pass the AXELOS MoV Foundation Examination Introduction to value management and MoV Value and Value Management Capabilities, Outcomes, Benefits and Disbenefits What is Value? What is Management of Value (MoV)? Why use MoV? Where use MoV? When MoV should be used? What using MoV involve? Selected MoV benefits Relationship with other AXELOS Global Best Practices and Models How MoV fits with other AXELOS Global Best Practice Guides MoV principles Align with organization's objectives Focus on functions and required outcomes Balance the variables to maximise value Apply throughout the investment decision Tailor MoV to suit the subject Learn from experience and improve Assign clear roles and responsibilities and build a supportive culture MoV processes Frame the programme or project Gather information Analyse information Process information Evaluate and select Develop Value Improving Proposals Implement and share outputs MoV techniques Function Analysis Function Analysis System Technique (FAST) Traditional (or classic) FAST Technical FAST Customer FAST Value Trees Measuring value Value profiling (a.k.a. value benchmarking) Simple multi-attribute rating technique (a.k.a. SMART) Value index Value metrics Value for money (VfM) ratio Value Engineering / Analysis Common techniques used in MoV Analysis of information Benchmarking Process Mapping Root Cause Analysis Discounted Cash Flow Analysis Generating Ideas Brainstorming Evaluation and option selection Option Selection Matrix Idea selection Allocation to Categories Idea Selection Matrix Weighting techniques Paired Comparisons Points Distribution Developing VIPs Developing Proposals Cost Benefit Analysis Building Decisions Implementing VIPs Implementation Plans Feedback Following up Tracking Benefits Approach to Implementation Generic approach to MoV implementation Plan the MoV activities Understand and articulate value Prioritize value Improve value Quantify value Monitor improvements in value Learn lessons Environmental factors Portfolio Considerations Programme considerations Project considerations Operational Considerations Embedding MoV into an organization Benefits of Embedding MoV into an organization MoV Policy MoV Policy Composition Embedding MoV into an organisation Key steps Suggested MoV Management Structure Overcoming barriers We do it anyway It takes up too much time We can't afford to make the changes What's in it for me? Don't fix it if it ain't broke Fixed returns on investment MoV products Briefing Meeting Agenda (A.1) Communications Checklist (A.2) Equipment list for an Effective Study/Workshop (A.3) Invitation to join the Study Team (A.4) Option Evaluation Matrix (A.5) Plan the Study (A.6) Recording Idea Selection (A.7) Reporting Study outputs (A.8) Scoping the Study (A.9) Study or Workshop Handbook (A.10) Value-Improvement Proposal Forms (A.11) Value Improvement Tracking Report (A.12) MoV toolbox MoV health check and maturity model P3M3 Maturity Model MoV Maturity Model (aligned with P3M3)

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