1197 Installation courses in London delivered Online

Register on the SQL NoSQL Big Data and Hadoop today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a digital certificate as a proof of your course completion. The SQL NoSQL Big Data and Hadoop is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablet, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With The SQL NoSQL Big Data and Hadoop Receive a e-certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Course Design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Video lessons Online study materials Certification Upon successful completion of the course, you will be able to obtain your course completion e-certificate free of cost. Print copy by post is also available at an additional cost of £9.99 and PDF Certificate at £4.99. Who Is This Course For: The course is ideal for those who already work in this sector or are an aspiring professional. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge. Requirements: The online training is open to all students and has no formal entry requirements. To study the SQL NoSQL Big Data and Hadoop, all your need is a passion for learning, a good understanding of English, numeracy, and IT skills. You must also be over the age of 16. Course Content Section 01: Introduction Introduction 00:07:00 Building a Data-driven Organization - Introduction 00:04:00 Data Engineering 00:06:00 Learning Environment & Course Material 00:04:00 Movielens Dataset 00:03:00 Section 02: Relational Database Systems Introduction to Relational Databases 00:09:00 SQL 00:05:00 Movielens Relational Model 00:15:00 Movielens Relational Model: Normalization vs Denormalization 00:16:00 MySQL 00:05:00 Movielens in MySQL: Database import 00:06:00 OLTP in RDBMS: CRUD Applications 00:17:00 Indexes 00:16:00 Data Warehousing 00:15:00 Analytical Processing 00:17:00 Transaction Logs 00:06:00 Relational Databases - Wrap Up 00:03:00 Section 03: Database Classification Distributed Databases 00:07:00 CAP Theorem 00:10:00 BASE 00:07:00 Other Classifications 00:07:00 Section 04: Key-Value Store Introduction to KV Stores 00:02:00 Redis 00:04:00 Install Redis 00:07:00 Time Complexity of Algorithm 00:05:00 Data Structures in Redis : Key & String 00:20:00 Data Structures in Redis II : Hash & List 00:18:00 Data structures in Redis III : Set & Sorted Set 00:21:00 Data structures in Redis IV : Geo & HyperLogLog 00:11:00 Data structures in Redis V : Pubsub & Transaction 00:08:00 Modelling Movielens in Redis 00:11:00 Redis Example in Application 00:29:00 KV Stores: Wrap Up 00:02:00 Section 05: Document-Oriented Databases Introduction to Document-Oriented Databases 00:05:00 MongoDB 00:04:00 MongoDB Installation 00:02:00 Movielens in MongoDB 00:13:00 Movielens in MongoDB: Normalization vs Denormalization 00:11:00 Movielens in MongoDB: Implementation 00:10:00 CRUD Operations in MongoDB 00:13:00 Indexes 00:16:00 MongoDB Aggregation Query - MapReduce function 00:09:00 MongoDB Aggregation Query - Aggregation Framework 00:16:00 Demo: MySQL vs MongoDB. Modeling with Spark 00:02:00 Document Stores: Wrap Up 00:03:00 Section 06: Search Engines Introduction to Search Engine Stores 00:05:00 Elasticsearch 00:09:00 Basic Terms Concepts and Description 00:13:00 Movielens in Elastisearch 00:12:00 CRUD in Elasticsearch 00:15:00 Search Queries in Elasticsearch 00:23:00 Aggregation Queries in Elasticsearch 00:23:00 The Elastic Stack (ELK) 00:12:00 Use case: UFO Sighting in ElasticSearch 00:29:00 Search Engines: Wrap Up 00:04:00 Section 07: Wide Column Store Introduction to Columnar databases 00:06:00 HBase 00:07:00 HBase Architecture 00:09:00 HBase Installation 00:09:00 Apache Zookeeper 00:06:00 Movielens Data in HBase 00:17:00 Performing CRUD in HBase 00:24:00 SQL on HBase - Apache Phoenix 00:14:00 SQL on HBase - Apache Phoenix - Movielens 00:10:00 Demo : GeoLife GPS Trajectories 00:02:00 Wide Column Store: Wrap Up 00:04:00 Section 08: Time Series Databases Introduction to Time Series 00:09:00 InfluxDB 00:03:00 InfluxDB Installation 00:07:00 InfluxDB Data Model 00:07:00 Data manipulation in InfluxDB 00:17:00 TICK Stack I 00:12:00 TICK Stack II 00:23:00 Time Series Databases: Wrap Up 00:04:00 Section 09: Graph Databases Introduction to Graph Databases 00:05:00 Modelling in Graph 00:14:00 Modelling Movielens as a Graph 00:10:00 Neo4J 00:04:00 Neo4J installation 00:08:00 Cypher 00:12:00 Cypher II 00:19:00 Movielens in Neo4J: Data Import 00:17:00 Movielens in Neo4J: Spring Application 00:12:00 Data Analysis in Graph Databases 00:05:00 Examples of Graph Algorithms in Neo4J 00:18:00 Graph Databases: Wrap Up 00:07:00 Section 10: Hadoop Platform Introduction to Big Data With Apache Hadoop 00:06:00 Big Data Storage in Hadoop (HDFS) 00:16:00 Big Data Processing : YARN 00:11:00 Installation 00:13:00 Data Processing in Hadoop (MapReduce) 00:14:00 Examples in MapReduce 00:25:00 Data Processing in Hadoop (Pig) 00:12:00 Examples in Pig 00:21:00 Data Processing in Hadoop (Spark) 00:23:00 Examples in Spark 00:23:00 Data Analytics with Apache Spark 00:09:00 Data Compression 00:06:00 Data serialization and storage formats 00:20:00 Hadoop: Wrap Up 00:07:00 Section 11: Big Data SQL Engines Introduction Big Data SQL Engines 00:03:00 Apache Hive 00:10:00 Apache Hive : Demonstration 00:20:00 MPP SQL-on-Hadoop: Introduction 00:03:00 Impala 00:06:00 Impala : Demonstration 00:18:00 PrestoDB 00:13:00 PrestoDB : Demonstration 00:14:00 SQL-on-Hadoop: Wrap Up 00:02:00 Section 12: Distributed Commit Log Data Architectures 00:05:00 Introduction to Distributed Commit Logs 00:07:00 Apache Kafka 00:03:00 Confluent Platform Installation 00:10:00 Data Modeling in Kafka I 00:13:00 Data Modeling in Kafka II 00:15:00 Data Generation for Testing 00:09:00 Use case: Toll fee Collection 00:04:00 Stream processing 00:11:00 Stream Processing II with Stream + Connect APIs 00:19:00 Example: Kafka Streams 00:15:00 KSQL : Streaming Processing in SQL 00:04:00 KSQL: Example 00:14:00 Demonstration: NYC Taxi and Fares 00:01:00 Streaming: Wrap Up 00:02:00 Section 13: Summary Database Polyglot 00:04:00 Extending your knowledge 00:08:00 Data Visualization 00:11:00 Building a Data-driven Organization - Conclusion 00:07:00 Conclusion 00:03:00 Resources Resources - SQL NoSQL Big Data And Hadoop 00:00:00

Air Conditioning and Refrigeration Course is yet another 'Teacher's Choice' course from Teachers Training for a complete understanding of the fundamental topics. You are also entitled to exclusive tutor support and a professional CPD-accredited certificate in addition to the special discounted price for a limited time. Just like all our courses, this Air Conditioning and Refrigeration Course and its curriculum have also been designed by expert teachers so that teachers of tomorrow can learn from the best and equip themselves with all the necessary skills. Consisting of several modules, the course teaches you everything you need to succeed in this profession. The course can be studied part-time. You can become accredited within 03 Hours studying at your own pace. Your qualification will be recognised and can be checked for validity on our dedicated website. Why Choose Teachers Training Some of our website features are: This is a dedicated website for teaching 24/7 tutor support Interactive Content Affordable price Courses accredited by the UK's top awarding bodies 100% online Flexible deadline Entry Requirements No formal entry requirements. You need to have: Passion for learning A good understanding of the English language Be motivated and hard-working Over the age of 16. Certification CPD Certification from The Teachers Training Successfully completing the MCQ exam of this course qualifies you for a CPD-accredited certificate from The Teachers Training. You will be eligible for both PDF copy and hard copy of the certificate to showcase your achievement however you wish. You can get your digital certificate (PDF) for £4.99 only Hard copy certificates are also available, and you can get one for only £10.99 You can get both PDF and Hard copy certificates for just £12.99! The certificate will add significant weight to your CV and will give you a competitive advantage when applying for jobs. Module 01: Fundamentals of Heat, Air conditioning and Refrigeration Fundamentals of Heat, Air conditioning and Refrigeration 00:25:00 Module 02: Air Conditioning Systems Air Conditioning Systems 00:25:00 Module 03: Compressors, Water Chillers, and Fans Compressors, Water Chillers, and Fans 00:26:00 Module 04: Refrigeration and Refrigerants Refrigeration and Refrigerants 00:25:00 Module 05: Installation and Construction of Refrigeration and Air Conditioning System Installation and Construction of Refrigeration and Air Conditioning Systems 00:23:00 Module 06: Food Refrigeration Food Refrigeration 00:25:00 Module 07: Indoor Air Quality Indoor Air Quality 00:22:00

Description Register on the Deep Learning & Neural Networks Python - Keras today and build the experience, skills and knowledge you need to enhance your professional development and work towards your dream job. Study this course through online learning and take the first steps towards a long-term career. The course consists of a number of easy to digest, in-depth modules, designed to provide you with a detailed, expert level of knowledge. Learn through a mixture of instructional video lessons and online study materials. Receive online tutor support as you study the course, to ensure you are supported every step of the way. Get a certificate as proof of your course completion. The Deep Learning & Neural Networks Python - Keras course is incredibly great value and allows you to study at your own pace. Access the course modules from any internet-enabled device, including computers, tablets, and smartphones. The course is designed to increase your employability and equip you with everything you need to be a success. Enrol on the now and start learning instantly! What You Get With This Course Receive a digital certificate upon successful completion of the course Get taught by experienced, professional instructors Study at a time and pace that suits your learning style Get instant feedback on assessments 24/7 help and advice via email or live chat Get full tutor support on weekdays (Monday to Friday) Certificate of Achievement After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.  Method of Assessment You need to attend an assessment right after the completion of this course to evaluate your progression. For passing the assessment, you need to score at least 60%. After submitting your assessment, you will get feedback from our experts immediately. Who Is This Course For The course is ideal for those who already work in this sector or are aspiring professionals. This course is designed to enhance your expertise and boost your CV. Learn key skills and gain a professional qualification to prove your newly-acquired knowledge.   Course Content Course Introduction And Table Of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML Or DL For The Next AI Project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation And Sample Program To Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow Library Installation And Sample Program To Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation And Switching Theano And TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps And Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network With Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training And Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding The Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - K-Fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing The Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding The Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing The Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning For Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding The Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing The Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement By Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement By Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement By Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load The Trained Model As JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save And Load Model As YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load And Predict Using The Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load And Predict Using The Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load And Predict Using The Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load And Predict Using The Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction To Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading The Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule Using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Handwritten Digit Recognition Dataset MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model Using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN Using MNIST Large CNN using MNIST 00:09:00 Load And Predict Using The MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction To Image Augmentation Using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation Using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation Using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation Using Rotation And Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding And Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN Using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train And Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load And Predict Using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00

Overview Develop essential professional skills with the Domestic Plumbing and Heating Installer Complete Diploma course. This Domestic Plumbing and Heating Installer Complete Diploma course includes easy to digest, in-depth modules providing learners with thorough, proficient knowledge. It delivers essential domestic heating and plumbing training which will benefit you personally and professionally. Upon completing the course, you can save money by carrying out plumbing and heater installation by yourself, and will have the necessary skills to kickstart your career. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is this course for? There is no experience or previous qualifications required for enrolment on this Domestic Plumbing and Heating Installer Complete Diploma. It is available to all students, of all academic backgrounds. Requirements Our Domestic Plumbing and Heating Installer Complete Diploma is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 12 sections • 12 lectures • 03:00:00 total length •Module 01: Basic Components of Plumbing: 00:15:00 •Module 02: Principles of Effective Plumbing Systems: 00:15:00 •Module 03: The Plumbing Tools: 00:15:00 •Module 04: The Plumbing Process: 00:15:00 •Module 05: Central Heating Systems: 00:15:00 •Module 06: Domestic Cold Water System: 00:15:00 •Module 07: Domestic Hot Water System - Part 1: 00:15:00 •Module 08: Domestic Hot Water System - Part 2: 00:15:00 •Module 09: The Sanitation System and Repairs: 00:15:00 •Module 10: Domestic Rainwater System Installation: 00:15:00 •Module 11: Plumbing Projects: Case Study: 00:15:00 •Module 12: UK Standards for Plumbing: 00:15:00

Outline: Built-up walls are a layered form of facade construction typically comprising a structural back wall and a rainscreen or insulated render cladding. The course covers performance requirements, testing, supply chains, design responsibility and installation quality. This course will identify key British, European and CWCT standards and guides relevant to these issues. Target audience This course is intended for those with an interest in understanding the specification and construction of built-up walls. Leaning objectives: Understand the performance requirements of built-up walls, Understand how performance is specified and verified, Appreciate the supply chains and procurement of built-up walls, Appreciate design responsibility and quality. Assessment: Assessment will be via a series of multiple-choice questions following the course, The assessment is timed and must be passed in order to receive a CPD certificate for the course, If the assessment is failed, one re-take will be permitted. Prerequisites: None. Availability 10 June – 07 July 2024 Lecture time: 1 day. Price Member price Non-Member price £180 + VAT £360 + VAT

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Duration 5 Days 30 CPD hours This course is intended for This intermediate course is appropriate for experienced UNIX system administrators who want to support AIX running on POWER processor based systems in a mult-iuser POWER (System p) partitioned environment. Overview At course completion, you will be able to:- Install the AIX operating system, filesets, and RedHat Package Manager (RPM) packages - Perform system startup and shutdown - Discuss and use system management tools such as System Management Interface Tool (SMIT) and IBM systems director console for AIX - Manage physical and logical devices - Discuss the purpose of the logical volume manager - Perform logical volume and file system management - Perform and restore system backups - Use the AIX error log as a tool in problem determination - Configure TCP/IP networking Students will learn to install, customize and administer the AIX operating system in a multi-user POWER (System p) partitioned environment. Introduction to AIX and IBM Power systems AIX system management tools AIX software installation and maintenance System configuration and devices TCP/IP networking System startup and shutdown Basics of configuring logical partitions AIX installation Working with the Logical Volume Manager File systems administration The Object Data Manager LVM metadata Disk management procedures Backup and restore Error monitoring System initialization - I System initialization - II (00:35) Exercise 17 (00:25) Unit 18: The AIX system dump facility (00:15) Exercise 18 Advanced install techniques Alternate disk installation Alternate disk - part 1 (pre-clone) Using multibos Alternate disk - part 2 (post-clone) multibos Appendix A: Survey of additional AIX facilities

About this training course The smart meter or smart grid represents the next-generation electrical power system. This system uses information, data & communication technology within generation, delivery and consumption of electric energy. This 4-day course will equip you with the innovations that are shaping the power generation and distribution systems and will cover topics ranging from Smart Metering Architecture, Cybersecurity, Smart Grid Systems and Power Line Communications. Training Objectives By participating in this course, you will be able to: Comprehend the Smart Grid and Smart Meters architecture Review latest trends and challenges within the Smart Grid Technology Perform analysis on smart electronic meters Comply with regulatory and metering standards Recognize the importance of cybersecurity in smart grids Maximize efficiency, reliability, and longevity of your smart meters and equipment Gain valuable insights into power quality and harmonics Target Audience This course will greatly benefit the following groups but not limited to: Smart Grid managers and engineers Smart Meters managers and engineers Power plant managers Outage managers Maintenance and operations engineers Power regulatory personnel Transmission managers and engineers Distribution managers and engineers IT managers Renewable energy managers and engineers Course Level Basic or Foundation Intermediate Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the 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 in their own organization. Course Duration: 4 days in total (28 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 25. This course is also available through our Virtual Instructor Led Training (VILT) format. Trainer Your expert course leader is a professional engineer with extensive experience in power system studies, substation design field-testing, and EHS programs settings for Mining and Electrical Utilities sectors. He was formally the Engineering Manager at GE Canada in Ontario. He received his M.Sc. in electrical engineering from the University of New Brunswick and his MBA from Laurier School of Business in Waterloo. He has managed and executed more than 150 engineering projects on substation design EMF audits and power system studies and analyses, EMF audits and grounding audits, for major electrical utilities, mines, oil and gas, data centers, industrial and commercial facilities in Canada and the U.S. He is a certified professional engineer in the provinces of Ontario and Alberta. He has various IEEE publications, has served as a technical reviewer for many IEEE journals in power systems and control systems, and is the chair of the Industry Application Chapter (IAS) for IEEE Toronto Section. He remains a very active member for the IEEE substation committee of IEEE Std. 81 ground testing (WGE6) and IEEE Std. 80 ground design (WGD7). A certified electrical safety trainer by GE Corporate and a Canadian Standard Association (CSA) committee member at the mining advisory panel for electrical safety, he also taught many technical courses all over Canada to industrial customers, electrical consultants as well as to electrical utilities customers. Highlighted Projects: Various Power System Studies for 345/230 kV Stations - Nova Scotia Power (EMERA) RF audits for Telecom tower and antennas - Cogeco/Rogers Mobile Power System analysis - Powell Canada Structural/Geotechnical Design and upgrades - Oakville Hydro Underground Cables testing and sizing - Plan Group Relay programming and design optimization - Cenovus Canada Different Arc Flash Analysis and BESS Design - SNC Lavalin Environmental site assessment (ESA) Phase I/II for multiple stations - Ontario Electromagnetic compatibility (EMC) assessment for Toronto LRT expansion - MOSAIC Battery energy storage system (BESS) installation at City of London - Siemens Canada EMF audits for 500 kV Transmission Lines - Hydro One EMF audits for 500 kV Transmission Lines - Hydro Quebec AC interference for 138 kV line modeling and mitigations - HBMS Mine 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

Once upon a time, in a world where energy consumption seemed like a dark mystery, a shining solution emerged-the Smart Meter. This innovative course, aptly titled Smart Meter, invites you to embark on a fascinating journey into the realm of energy monitoring and management. Prepare to unlock the secrets of this cutting-edge technology and gain the power to control your energy usage like never before. Learning Outcome: Develop a solid understanding of smart meter technology and its functionalities. Gain the knowledge to design and install smart metering systems effectively. Learn about meter installation guidelines and ensure compliance with industry standards. Conduct a comprehensive cost and benefit analysis of smart meters for informed decision-making. Familiarise yourself with smart metering policy guidelines, including the Smart Meters Act in the UK. The Smart Meter course takes you on a captivating journey through the modules, equipping you with the knowledge and skills to embrace energy efficiency in the digital age. Module 01 introduces you to the world of smart meters, providing a foundation for further exploration. Module 02 delves into the intricacies of designing smart metering systems, ensuring efficient energy monitoring. Essential skills take centre stage in Module 03, where you'll learn to install smart meters with precision. As you progress, modules cover essential topics such as meter installation guidelines, cost and benefit analysis, and policy guidelines. By the end of the Smart Meter course, you'll be empowered to make informed energy management decisions with the help of smart meter technology. Certification Upon completion of the course, learners can obtain a certificate as proof of their achievement. You can receive a £4.99 PDF Certificate sent via email, a £9.99 Printed Hardcopy Certificate for delivery in the UK, or a £19.99 Printed Hardcopy Certificate for international delivery. Each option depends on individual preferences and locations. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals interested in understanding and implementing smart meter technology in their homes or businesses. Energy professionals seeking to expand their knowledge of smart metering systems and policies. Anyone passionate about sustainability and looking to optimize energy consumption through advanced technology. Career path Smart Meter Installer: £20,000 - £30,000 per year Energy Efficiency Consultant: £25,000 - £40,000 per year Sustainability Analyst: £30,000 - £45,000 per year Energy Manager: £35,000 - £55,000 per year Smart Grid Engineer: £40,000 - £60,000 per year

Dive deep into the world of art with our 'Art Curation Course', a journey that uncovers the nuances of selecting, displaying, and conserving artwork. As you move from one module to another, learn the intricate details of exhibition design, communication techniques, and the contemporary challenges of the digital age. By the culmination of this course, not only will you grasp the essentials of curatorial innovation, but you'll also master the skills of collaboration, funding, and sustainability in the ever-evolving art landscape. Learning Outcomes Understand the foundational principles of art curation and the processes of art selection and collection development. Master the art of exhibition design, space management, and efficient installation techniques. Acquire knowledge about art conservation, preservation, and interpretation. Develop marketing strategies for exhibitions and understand the intricacies of funding and sustainability. Explore curatorial innovations, digital age implications, and the importance of teamwork in curating exhibitions. Why buy this Art Curation Course? 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. Who is this Art Curation Course for? Aspiring art curators keen to understand the intricacies of the industry. Art enthusiasts looking to transform their passion into a profession. Museum and gallery professionals aiming to enhance their curatorial knowledge. Artists seeking to understand exhibition management from a curatorial perspective. Event planners aiming to diversify their expertise into art exhibitions. Career path Art Curator: £40,000 - £60,000 Exhibition Designer: £28,000 - £45,000 Museum Conservator: £30,000 - £50,000 Art Marketing Specialist: £27,000 - £42,000 Gallery Manager: £25,000 - £40,000 Digital Exhibition Coordinator: £35,000 - £55,000 Prerequisites This Art Curation Course does not require you to have any prior qualifications or experience. You can just enrol and start learning. This course 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Art Curation Introduction to Art Curation 00:20:00 Module 02: Art Selection and Collection Development Art Selection and Collection Development 00:17:00 Module 03: Exhibition Design and Space Management Exhibition Design and Space Management 00:16:00 Module 04: Interpretation and Communication Interpretation and Communication 00:16:00 Module 05: Conservation and Preservation Conservation and Preservation 00:16:00 Module 06: Marketing and Promotion Marketing and Promotion 00:16:00 Module 07: Curatorial Challenges and Innovations Curatorial Challenges and Innovations 00:14:00 Module 08: Collaboration and Team Management Collaboration and Team Management 00:16:00 Module 09: Exhibition Installation and Logistics Module 09: Exhibition Installation and Logistics 00:16:00 Module 10: Curating in the Digital Age Curating in the Digital Age 00:14:00 Module 11: Exhibition Funding and Sustainability Exhibition Funding and Sustainability 00:13:00 Module 12: Final Exhibition Project Final Exhibition Project 00:13:00