4391 Courses

Course Description Get instant knowledge from this bite-sized Heating, Ventilation & Air Conditioning (HVAC) Technician Part - 3 course. This course is very short and you can complete it within a very short time. In this Heating, Ventilation & Air Conditioning (HVAC) Technician Part - 3 course you will get fundamental ideas of heating, ventilation and air conditioning, the key understanding of special applications, HVAC system selection and so on. Enrol in this course today and start your instant first step towards learning about refrigeration and refrigerants. Learn faster for instant implementation. Learning Outcome Familiarise with refrigeration and refrigerants Understand special applications Gain in-depth knowledge of the HVAC system selection Deepen your understanding of safety in the HVAC industry How Much Do HVAC Technicians Earn? Senior - £60,000 (Apprx.) Average - £39,000 (Apprx.) Starting - £25,000 (Apprx.) Requirement Our Heating, Ventilation & Air Conditioning (HVAC) Technician Part - 3 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Heating, Ventilation & Air Conditioning (HVAC) Technician Part - 3 Module 01: Refrigeration and Refrigerants 00:20:00 Module 02: Special Applications 00:24:00 Module 03: HVAC System Selection 00:18:00 Module 04: Safety in the HVAC Industry 00:27:00 Assignment Assignment - Heating, Ventilation & Air Conditioning (HVAC) Technician Part - 3 00:00:00

Good Clinical Practice (GCP) is a set of internationally recognised ethical and scientific quality requirements for designing, conducting, recording and reporting clinical trials. Compliance with GCP principles is required by regulatory authorities in many countries for the authorisation of clinical trials and the acceptance of their data in applications for marketing approval. The International Council for Harmonisation's guideline E6, often referred to as ICH GCP, is the international standard specification for Good Clinical Practice. In this short course we describe the ICH’s role in the harmonisation of regulations, introduce its guideline E6, and set out the principles of GCP.

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor 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. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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

Learn to effectively monitor the performance, health, and availability of Azure Services and your cloud resources

Electricians, take your first step towards becoming an MCS accredited PV installer in just three days!

Description Behavioural Finance Diploma Embarking on the intricate journey of the Behavioural Finance Diploma allows students to immerse themselves in the fascinating crossroads where finance and psychology converge, crafting a robust understanding of the crucial elements influencing financial decisions and market dynamics. This online course meticulously entwines the foundational principles of behavioural finance, unveiling how psychological insights can illuminate the often-convoluted paths through which individuals, corporations, and markets navigate their financial landscapes. At the core, the Behavioural Finance Diploma enlightens participants about the enigmatic relationship between psychology and finance, exploring the myriad of ways through which cognitive and emotional biases insidiously weave through financial decision-making processes. Engaging online modules unfold the myriad cognitive biases that subtly yet significantly divert financial decisions from rationality, offering students the tools to discern, analyse, and possibly mitigate these often imperceptible influences. Equally, the course painstakingly investigates the role of emotional biases in investing, revealing how sentiments such as fear and overconfidence can distort investor behaviour and subsequently, market phenomena. By unmasking the behavioural patterns inherent in market anomalies, participants forge a fortified understanding of how psychological underpinnings perpetuate and exacerbate market inconsistencies and irregularities. Delving deeper, the Behavioural Finance Diploma introduces students to the behavioural portfolio theory, inviting them to explore how cognitive errors and emotional responses sculpt the assembly and management of investment portfolios. This sophisticated lens through which to examine portfolio construction and management is indispensable for aspiring financial professionals and enthusiastic individual investors alike. Furthermore, the course navigates through the concept of nudging and its impactful role in financial decision-making. By dissecting how subtle cues and reinforcements can shape and steer financial choices, students uncover the potential of nudges in fostering more beneficial financial decisions among individuals and within organisational contexts. A distinctive feature of the Behavioural Finance Diploma lies in its examination of behavioural corporate finance. Participants are ushered into an intricate understanding of how behavioural biases permeate corporate financial decisions, investment strategies, and policy formulations. Consequently, an exploration of the psychological frameworks that underpin corporate finance elucidates the divergences from theoretically optimal financial strategies often observed in real-world scenarios. Moreover, the application of behavioural finance in financial planning proffers a rich terrain of knowledge and expertise, enabling course participants to harness behavioural insights in crafting and refining client-centric financial plans. By adopting a behavioural perspective, students are equipped to construct financial planning strategies that not only align with clients' financial goals but also judiciously navigate the behavioural biases and emotional proclivities that frequently hinder financial progress. Peering into the future, the course unfurls the prospective developments and forthcoming horizons of behavioural finance. Students are thus not only grounded in the present-day applications and understandings of behavioural finance but are also afforded a foresightful gaze into the emerging trends, prospective research directions, and potential future applications within this dynamic field. The Behavioural Finance Diploma, offered entirely online, not only grants participants a thorough, multidimensional understanding of the multifaceted realms through which psychology permeates finance but also enriches their practical capabilities in navigating the often turbulent waters of financial markets and decision-making. This online course, intricately designed and thoughtfully structured, is a beacon for those aspiring to meld psychological insights with financial acumen, providing a robust platform from which to forge a deeply informed, behaviourally nuanced career in finance. In conclusion, the Behavioural Finance Diploma stands as a pivotal educational journey for those desiring to intertwine the realms of psychology and finance, nurturing an astute, behaviourally informed approach to navigating the complexities and nuances of financial decision-making and market dynamics in both personal and professional contexts. This online learning journey thus represents a profound investment in one's educational and professional trajectory, equipping participants with the knowledge and skills to astutely navigate and influence the financial landscapes of the future. What you will learn 1:Foundations of Behavioural Finance 2:Psychology and Finance Intersect 3:Cognitive Biases in Financial Decisions 4:Emotional Biases in Investing 5:Behavioural Patterns in Market Anomalies 6:Behavioural Portfolio Theory 7:Nudging and Financial Decision Making 8:Behavioural Corporate Finance 9:Applications of Behavioural Finance in Financial Planning 10:Future of Behavioural Finance Course Outcomes After completing the course, you will receive a diploma certificate and an academic transcript from Elearn college. Assessment Each unit concludes with a multiple-choice examination. This exercise will help you recall the major aspects covered in the unit and help you ensure that you have not missed anything important in the unit. The results are readily available, which will help you see your mistakes and look at the topic once again. If the result is satisfactory, it is a green light for you to proceed to the next chapter. Accreditation Elearn College is a registered Ed-tech company under the UK Register of Learning( Ref No:10062668). After completing a course, you will be able to download the certificate and the transcript of the course from the website. For the learners who require a hard copy of the certificate and transcript, we will post it for them for an additional charge.

This half-day course is for anyone who wants to learn how to use AI and specifically ChatGPT to improve their marketing and social media.

The Azure Container Service (ACS) is a cloud-based container deployment and management service that supports popular open source tools and technologies for container and container orchestration. ACS allows you to run containers at scale in production and manages the underlying infrastructure for you by configuring the appropriate VMs and clusters for you. This Azure - Containers is designed to instruct you on Azure, and specifically how it pertains to containers. In this course, you will gain a comprehensive overview of containers and spend time understanding what containers are within Azure. You will learn how to use docker host to manage both on-premises and Azure containers. Learn how to use ACS to scale and orchestrate applications using DC/OS, Docker Swarm, or Kubernetes. This course also covers Azure container clustering options. On completion this course, you will be confident enough to use Azure Containers. Finally, you will look at how to install ACS. What Will I Learn? Understand Containers in Azure Deploy Containers Install ACS Understand multi-container applications Requirements Some prior knowledge in Azure is required, or the completion of Introduction to Azure course Introduction Introduction FREE 00:01:00 Introduction to Containers Introduction to Containers 00:04:00 Docker 00:04:00 Deploying Containers 00:08:00 Multi-container Applications 00:02:00 Azure Container Registry 00:03:00 Azure Container Clustering Options 00:02:00 Installing ACS 00:04:00 Conclusion Course Recap 00:02:00 Course Certification

Master Bing AI from scratch! Dive into practical applications—analyze website links, plan vacations, write CVs, and more, with our beginner-friendly tutorial.

The IT System Support Technician (Online Virtual Classroom) Course will equip candidates with the skills and knowledge to competently carry out routine customer support to a range of Computer users, communicate effectively with support managers, supporting colleagues and external clients.