About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations
Course Description Get instant knowledge from this bite-sized Visual Merchandising Fast-Track Course: Part 1 course. This course is very short and you can complete it within a very short time. In this Visual Merchandising Fast-Track Course: Part 1 course you will get fundamental ideas of visual merchandising, the key understanding of in-store design, exterior design and so on. Enrol in this course today and start your instant first step towards learning about visual merchandising. Learn faster for instant implementation. Learning outcome Familiarise with store layouts Gain in-depth knowledge of the in-store design Deepen your understanding of exterior design Learn about visual merchandising How Much Do Visual Merchandisers Earn? Senior - £30,000(Appx.) Average - £22,000(Appx.) Starting - £16,000(Appx.) Requirement Our Visual Merchandising Fast-Track Course: Part 1 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. Visual Merchandising Fast-Track Course: Part 1 Introduction to Visual Merchandising 00:16:00 Store Layouts 00:20:00 Exterior Design 00:21:00 In-Store Design 00:19:00 Assignment Assignment - Visual Merchandising Fast-Track Course: Part 1 00:00:00
Imagine a world where every flick of a switch, the press of a button, and the smooth operation of the modern marvels we often take for granted is made possible by the genius of electrical engineering. This course, 'Electrical Engineering - Light Current System,' is your gateway to understanding and mastering the intricacies of light current systems, from fire alarm to sound systems. As the demand for skilled electrical engineers surges, with electrical engineering positions becoming increasingly pivotal in our technologically advancing world, this course offers a golden opportunity to step into a field where the electrical engineering salary reflects the critical nature of the work. By diving into this curriculum, learners will not only secure electrical engineering jobs but will also pave the way for innovation and safety in numerous industries. Learning Outcomes: Acquire a foundational understanding of light current systems, including fire alarms, MATV, and data systems. Develop the ability to design, install, and maintain modern CCTV and sound systems. Enhance problem-solving skills specific to the challenges encountered in electrical engineering apprenticeships. Prepare for a diverse range of electrical engineer jobs through comprehensive knowledge and understanding of light current technologies. Gain insights into project management and the ability to oversee complex electrical installations. Why buy this Electrical Engineering - Light Current System? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Certification After studying the course materials of the Electrical Engineering - Light Current System there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Electrical Engineering - Light Current System course for? Individuals with a keen interest in pursuing a career in electrical engineering. Technicians looking to upgrade their knowledge and secure better positions. Fresh graduates seeking electrical engineering apprenticeship opportunities. Professionals aiming to transition into electrical engineering jobs. Enthusiasts of technology and innovation looking to understand light current systems. Prerequisites This Electrical Engineering - Light Current System does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Engineering - Light Current System was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Light Current System Designer: £35,000 - £50,000 per annum Electrical Engineer in Fire Alarm Systems: £30,000 - £45,000 per annum CCTV and Security Systems Engineer: £28,000 - £42,000 per annum Data Systems Specialist: £32,000 - £48,000 per annum Sound System Engineer: £29,000 - £43,000 per annum Project Manager for Electrical Installations: £40,000 - £60,000 per annum Course Curriculum Unit 1- Light Current Fire Alarm System Module 1- Light Current Fire Alarm System Part 1 00:17:00 Module 2- Light Current Fire Alarm System Part 2 00:15:00 Module 3- Light Current Fire Alarm System Part 3 00:18:00 Module 4- Light Current Fire Alarm System Part 4 00:17:00 Module 5- Light Current Fire Alarm System Part 5 00:17:00 Module 6- Light Current Fire Alarm System Part 6 00:17:00 Unit 2- Light Current MATV and Telephone System Module 1- Light Current MATV System Part 1 00:14:00 Module 2- Light Current MATV System Part 2 00:17:00 Module 3- Light Current Telephone System 00:19:00 Unit 3- Light Current Data System Module 1- Light Current Data System Part 1 00:15:00 Module 2- Light Current Data System Part 2 00:20:00 Unit 4- Light Current CCTV System Module 1- Light Current CCTV System Part 1 00:14:00 Module 2- Light Current CCTV System Part 2 00:23:00 Unit 5- Light Current Sound System Module 1- Light Current Sound System Part 1 00:18:00 Module 2- Light Current Sound System Part 2 00:16:00
The CIPT is the first and only certification of its kind worldwide. It was launched by the IAPP in 2014 and updated in early 2023 to meet the growing need that only tech pros can fill-securing data privacy at all stages of IT product and service lifecycles. Whether you work in the public or private sector, data privacy skills are quickly becoming a must-have-and that's a great opportunity for you. The CIPT certification also holds accreditation under ISO 17024: 2012 About This Course What will you learn? Critical data protection concepts and practices that impact IT Consumer data protection expectations and responsibility How to bake privacy into early stages of IT products and services for cost control, accuracy and speed-to-market How to establish data protection practices for data collection and transfer How to pre-empt data protection issues in the Internet of Things How to factor data protection into data classification and emerging tech such as cloud computing, facial recognition and surveillance How to communicate data protection issues with partners such as management, development, marketing and legal. This course has two programmatic modules, the first four areas focus on the fundamentals of data protection. The second module takes the fundamentals and puts it into practice. MODULE 1: Fundamentals of Information Privacy Unit 1: Common Principles and Approaches to Privacy This unit includes a brief discussion of the modern history of privacy, an introduction to types of information, an overview of information risk management and a summary of modern privacy principles. Unit 2: Jurisdiction and Industries This unit introduces the major privacy models employed around the globe and provides an overview of privacy and data protection regulation by jurisdictions and industry sectors. Unit 3: Information Security: Safeguarding Personal Information This unit presents introductions to information security, including definitions, elements, standards and threats/vulnerabilities, as well as introductions to information security management and governance, including frameworks, controls, cryptography and identity and access management (IAM). Unit 4: Online Privacy: Using Personal Information on Websites and with Other Internet-related Technologies This unit examines the web as a platform, as well as privacy considerations for sensitive online information, including policies and notices, access, security, authentication and data collection. Additional topics include children's online privacy, email, searches, online marketing and advertising, social media, online assurance, cloud computing and mobile devices. MODULE 2: Privacy in Technology Unit 1: Understanding the Need for Privacy in the IT Environment This unit highlights the impact that regulatory activities, security threats, advances in technology and the increasing proliferation of social networks have on IT departments. Unit 2: Core Privacy Concepts This unit reveals how privacy compliance becomes more attainable through developing information lifecycle plans, data identification and classification systems and data flow diagrams. Unit 3: Regulations and Standards Impacting Privacy in IT This unit introduces privacy laws, regulations and standards that can help IT professionals design better privacy programmes and systems to handle personal information throughout the data lifecycle. Unit 4: Privacy in Systems and Applications This unit develops an understanding of the risks inherent in the IT environment and how to address them. Unit 5: Online Privacy Issues This unit presents information about online threats, threat prevention and the role of IT professionals in ensuring proper handling of user data. Unit 6: De-identifying and Anonymizing Personally Identifiable Information This unit reveals the importance of personally identifiable information and methods for ensuring its protection. Unit 7: Cloud Computing This unit evaluates privacy and security concerns associated with cloud services, and standards that exist to advise on their use. Prerequisites There are no prerequisites for this course but attendees would benefit from a review of the materials on the IAPP site. What's Included? 1 years membership of the IAPP Refreshments & Lunch (Classroom courses only) Participant Guide Official Study Guides Official Practice Exam Official Q&A The Exam Fees Who Should Attend? The CIPT credential shows you've got the knowledge to build your organisation's data protection structures from the ground up. With regulators worldwide calling for tech professionals to factor data protection into their products and services, the job market for privacy-trained IT pros has never been stronger. As a result, the CIPT is targeted towards; Data Protection Officers IT Managers and Administrators Records Managers System Developers IT Security specialists Accreditation Our Guarantee We are an approved IAPP Training Partner. You can learn wherever and whenever you want with our robust classroom and interactive online training courses. Our courses are taught by qualified practitioners with a minimum of 25 years commercial experience. We strive to give our delegates the hands-on experience. Our courses are all-inclusive with no hidden extras. The one-off cost covers the training, all course materials, and exam voucher. Our aim: To achieve a 100% first time pass rate on all our instructor-led courses. Our Promise: Pass first time or 'train' again for FREE. *FREE training offered for retakes - come back within a year and only pay for the exam.
Level 7 QLS Endorsed Course with FREE Certificate | CPD & CiQ Accredited | 180 CPD Points | Lifetime Access
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Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Save Up To £4,169 and get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Give a compliment to your career and take it to the next level. This Machine Learning will provide you with the essential knowledge and skills required to shine in your professional career. Whether you want to develop skills for your next job or want to elevate skills for your next promotion, this Machine Learning will help you keep ahead of the pack. The Machine Learning incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can reinforce your professional skills and essential knowledge, reaching out to the level of expertise required for your position. Further, this Machine Learning will add extra value to your resume to stand out to potential employers. Throughout the programme, it stresses how to improve your competency as a person in your profession while at the same time it outlines essential career insights in this job sector. Consequently, you'll strengthen your knowledge and skills; on the other hand, see a clearer picture of your career growth in future. By the end of the Machine Learning, you can equip yourself with the essentials to keep you afloat into the competition. Along with this Machine Learning course, you will get 10 other premium courses. Also, you will get an original Hardcopy and PDF certificate for the title course and a student ID card absolutely free. This Bundle Consists of the following Premium courses: Course 01: Machine Learning with Python Course 02: Advanced Diploma in User Experience UI/UX Design Course 03: Data Science & Machine Learning with R Course 04: Python Programming for Everybody Course 05: Data Structures Complete Course Course 06: Data Science with Python Course 07: Computer Science: Graph Theory Algorithms Course 08: Higher Order Functions in Python - Level 03 Course 09: AWS Essentials Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Course 11: Introduction to Data Analysis So, enrol now to advance your career! Benefits you'll get choosing Apex Learning for this Machine Learning: One payment, but lifetime access to 11 CPD courses Certificate, student ID for the title course included in a one-time fee Full tutor support available from Monday to Friday Free up your time - don't waste time and money travelling for classes Accessible, informative modules taught by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £10 * 11 = £110) Hard Copy Certificate: Free (For The Title Course) If you want to get hardcopy certificates for other courses, generally you have to pay £20 for each. But this Fall, Apex Learning is offering a Flat 50% discount on hard copy certificates, and you can get each for just £10! P.S. The delivery charge inside the U.K. is £3.99 and the international students have to pay £9.99. Curriculum of the Bundle Course 01: Machine Learning with Python Module 01: Introduction to Algorithms Module 02: Preprocessing Module 03: Regression Module 04: Classification Course 02: Data Science & Machine Learning with R Data Science and Machine Learning Course Intro Data Types and Structures in R Data Types and Structures in R Intermediate R Data Manipulation in R Data Visualization in R Creating Reports with R Markdown Building Webapps with R Shiny Introduction to Machine Learning Starting A Career in Data Science Course 03: Python Programming for Everybody Module 01 A Installing Python Documentation Command Line Variables Simple Python Syntax Keywords Import Module Module 02 Additional Topics If Elif Else Iterable For Loops Execute Exceptions Module 03 Data Types Number Types More Number Types Strings More Strings Files Lists Dictionaries Tuples Sets Module 04 Comprehensions Definitions Functions Default Arguments Doc Strings Variadic Functions Factorial Module 05 Function Objects Lambda Generators Closures Classes Object Initialization Class Static Members Classic Inheritance Data Hiding Course 04: Advanced Diploma in User Experience UI/UX Design UX/UI Course Introduction Introduction To The Web Industry Foundations of Graphic Design UX Design (User Experience Design) UI Design (User Interface Design) Optimization Starting a Career in UX/UI Design Course 05: Data Structures Complete Course Unit 01: Introduction Unit 02: Arrays Unit 03: Liked List Unit 04: Stack Unit 05: Queues Unit 06: Priority Queues (PQs) Unit 07: Union Find Unit 08: Binary Search Trees Unit 09: Fenwick Tree Unit 10: Hash Tables Unit 11: Suffix Array Unit 12: AVL Trees Unit 13: Indexed Priority Queue Unit 14: Sparse Tables Course 06: Data Science with Python Unit 01: Introduction to Python Data Science Unit 02: Data Cleaning Packages Unit 03: Data Visualization packages Course 07: Computer Science: Graph Theory Algorithms Module 00: Promo Module 01: Introduction Module 02: Common Problem Module 03: Depth First Search Module 04: Breadth First Search Module 05: Breadth First Search Shortest Path on a Grid Module 06: Trees Module 07: Topological Sort Module 08: Dijkstra Module 09: Bellman-Ford Algorithm Module 10: Floyd-Warshall Algorithm Module 11: Bridge and Algorithm Points Module 12: Tarjan Algorithm Module 13: Travelling Salesman Problem (TSP) Module 14: Eulerian Paths and Circuits Module 15: Prim's Minimum Spanning Tree Algorithm Module 16: Network Flow Course 08: Higher Order Functions in Python - Level 03 Module 01: Course Introduction Module 02: Simple Higher Order Functions Module 03: Sorting with Keys Module 04: Map Function Module 05: Filter Function Module 06: List Comprehension Alternative Module 07: Recursion Introduction Course 09: AWS Essentials Section 01: AWS Foundations and Services Section 02: AWS Security and Costs Course 10: Cloud Computing / CompTIA Cloud+ (CV0-002) Section 01: What You Need to Know Section 02: Introducing the Cloud Section 03: System Requirements for Cloud Deployments Section 04: Cloud Storage Section 05: Cloud Compute Section 06: Cloud Networking Section 07: Cloud Security Section 08: Migrating to the Cloud Section 09: Maintaining Cloud Solutions Section 10: Troubleshooting Cloud Solutions Course 11: Introduction to Data Analysis Module 01: Introduction Module 02: Agenda and Principles of Process Management Module 03: The Voice of the Process Module 04: Working as One Team for Improvement Module 05: Exercise: The Voice of the Customer Module 06: Tools for Data Analysis Module 07: The Pareto Chart Module 08: The Histogram Module 09: The Run Chart Module 10: Exercise: Presenting Performance Data Module 11: Understanding Variation Module 12: The Control Chart Module 13: Control Chart Example Module 14: Control Chart Special Cases Module 15: Interpreting the Control Chart Module 16: Control Chart Exercise Module 17: Strategies to Deal with Variation Module 18: Using Data to Drive Improvement Module 19: A Structure for Performance Measurement Module 20: Data Analysis Exercise Module 21: Course Project Module 22: Test your Understanding CPD 125 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Machine Learning bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Machine Learning is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path Having these various expertise will increase the value in your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included
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QLS Endorsed + CPD QS Accredited - Dual Certification | Instant Access | 24/7 Tutor Support | All-Inclusive Cost