Domestic Electrical Installer (Diploma in Electrical Installations) - 4 Courses Bundle - CPD Certified - Lifetime Access Are you tired of feeling stuck in your career? Looking to switch things up and find new opportunities in the electrical industry? Our Domestic Electrical Installer Training Bundle Courses can help you do just that. We understand that the electrical industry can be challenging to break into, which is why we've developed a comprehensive Domestic Electrical Installer training program to help you gain the skills and knowledge you need to succeed. Our four Domestic Electrical Installer courses cover everything you need, this includes the following courses: Course 01: PAT Testing Course 02: Smart Meter Installer Course 03: Heating, Ventilation & Air Conditioning (HVAC) Technician Course 04: Basic Electricity At the end of the day, it's all about investing in yourself and your future. With the diploma in electrical installations and domestic electrical installer training courses, you'll gain the skills and knowledge you need to take your career to the next level. So why wait? Enroll today and start your journey toward a brighter future in the electrical industry Key Features CPD Certified 4 Free PDF & Hardcopy Certificate included Lifetime Access Free Retake Exam Domestic Electrical Installer (Diploma in Electrical Installations) Curriculum Course 01: PAT Testing Module 01: Introduction to PAT Module 02: Relevant Statutory Provisions for PAT Module 03: Safety Responsibilities & Maintenance Provisions Module 04: Risk Assessment Module 05: Reducing and Controlling Risks Module 06: Electrical Units and Appliance Classification Module 07: Equipment Coverage & Maintenance Needs Module 08: Initial Visual Examination Module 09: Instruments for Testing and Equipment Inspection Module 10: Electrical Installation Testing Module 11: Lead & RCD Testing Module 12: Safety Precautions in Electrical Testing Module 13: Reporting and Record-keeping Module 14: Testing for New or Used Equipment Module 15: British Standards and Latest Changes Course 02: Smart Meter Installer Module 01: Introduction to Smart Meter Module 02: Designing of Smart Metering System Module 03: Install a Smart Meter Module 04: Meter Installation Guidelines Module 05: Smart Meter Cost and Benefit Analysis Module 06: Smart Metering Policy Guidelines Module 07: Smart Meters Act in the UK Course 03: Heating, Ventilation & Air Conditioning (HVAC) Technician Module 01: Introduction to Heating, Ventilation & Air Conditioning (HVAC) Module 02: Heating Fundamentals and Psychrometrics Module 03: HVAC Systems Module 04: Heating and Ventilation Module 05: Air Conditioning Systems for HVAC Technicians Module 06: Compressors, Water Chillers, and Fans Module 07: Piping for HVAC Technician Module 08: Duct System in HVAC Module 09: Refrigeration and Refrigerants Module 10: Special Applications Module 11: HVAC System Selection Module 12: Safety in the HVAC Industry Course 04: Basic Electricity Module 01: Introduction and Basics Module 02: Electrical Units and Ohm's Law Module 03: Direct Current Module 04: Alternating Current Basics Module 05: Voltage and Resistance Module 06: Capacitance and Capacitors Module 07: Magnetism Module 08: Safety Precautions CPD 40 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Domestic Electrician Maintenance Electrician Electrical Supervisors Electrical Technicians Electrical Assessors Electricians Property Owners Maintenance staff Facility management staff Shop Owners Career path PAT Tester Smart Meter Installer HVAC Technician Electrical Maintenance Technician Electrical Service Technician Electrical Systems Installer HVAC Installer Building Services Technician Facilities Maintenance Technician Electrical Systems Analyst Certificates Certificate of completion Digital certificate - Included
About this Virtual Instructor Led Certificate Training Course (VILT) Asset maintenance and equipment reliability teams play a significant role to ensure that there is no room for downtime and losses in production. They are often recognised for their contribution and ability to keep assets running productively in today's organisations. The Certificate in Asset Management Virtual Instructor Led Training (VILT) course will provide those involved in Asset Management with a full explanation of the key processes to manage assets across their lifecycle. This recognised VILT course has been designed to equip participants with practical skills to take back to work. This VILT course enables participants to ensure their organisation's assets are realising their full value in support of the organisation's objectives. Accredited by the Institute of Asset Management (IAM), this VILT course will prepare participants to sit for the IAM Asset Management Certificate qualification. The IAM exam is offered as an option for participants of this VILT course. Training Objectives By the end of this VILT course, participants will be able to: Understand the key principles, tools and terminology of Asset Management, and demonstrate how it will benefit your organisation Gain familiarity in the application of ISO 55000 in practice Access a range of models that will support the implementation of asset management in your organisation Assess your understanding of the current tools and concepts applied in Asset Management Capture new ideas and skills that will enhance performance and be better prepared for the Institute of Asset Management (IAM) Certificate Examination Target Audience This VILT course will benefit maintenance managers, operations managers, asset managers and reliability professionals, planners and functional specialists. It will also be useful for facilities engineers, supervisors/managers and structural engineers/supervisors/ and managers. IAM Qualifications Syllabi This document details the scope of the individual topics which comprise the examination modules, and how the exams are assessed. It is important that prospective candidates understand the scope of the modules to determine the preparation required. Download here IAM Qualifications Candidate Handbook This handbook provides more detailed information on registering as a candidate, learning resources, training courses, booking an exam, exam regulations and what happens after an exam - whether you are successful or unsuccessful. Download here Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 15 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total) Other than world-class visuals and slides, this VILT course will include a high level of interaction between the facilitator and participants and group discussion among the participants themselves. There will be a number of exercises & quizzes to demonstrate key points and to give participants the chance to apply learning and appreciate key aspects of best practice. Participants will also have the chance to share examples from their own experience, discuss real problems they are facing and develop actions for improvement when they return to work. Examples of the exercises that are used in this VILT course are as follows: Exercises: Aligning Assets to Business Objectives, Planning for Contingencies, Understanding Function and Failure. Group exercises: Asset Management Decision Making, Incident Review & Operations Optimisation. The workshop content will be adjusted based on the discussions, interests and needs of the participants on the course. Trainer Your expert course leader is a is a highly experienced in maintenance and turnaround specialist. He is a Chartered Mechanical Engineer, having spent 19 years working for BP in engineering, maintenance and turnaround management roles. During this time, he worked on plants at all ages in the lifecycle, from construction, commissioning and operating new assets to maintaining aging assets and decommissioning. He has taken roles in Projects, Human Resources and Integrity Management which give real breadth to his approach. He also specialized in Continuous Improvement, gaining the award of International Petrochemical Coach of the year. He stays up to date with the latest industrial developments through his consulting support for major clients. He is also the Asset Management lead and a VILT specialist, having delivered over 70 days of VILT training in the last year. He has an engaging style and will bring his current industrial experience, proficiency of VILT techniques and diverse content, gathered from a comprehensive training portfolio, to deliver a distinctive training experience. 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
Learn core Apache Kafka features along with creating Java, Node.js and Python producers and consumers
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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
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Develop Big Data Pipelines with R, Sparklyr & Power BI Course Overview: This course offers a comprehensive exploration of building and managing big data pipelines using R, Sparklyr, and Power BI. Learners will gain valuable insight into the entire process, from setting up and installing the necessary tools to creating effective ETL pipelines, implementing machine learning techniques, and visualising data with Power BI. The course is designed to provide a strong foundation in data engineering, enabling learners to handle large datasets, optimise data workflows, and communicate insights clearly using visual tools. By the end of this course, learners will have the expertise to work with big data, manage ETL pipelines, and use Sparklyr and Power BI to drive data-driven decisions in various professional settings. Course Description: This course delves into the core concepts and techniques for managing big data using R, Sparklyr, and Power BI. It covers a range of topics including the setup and installation of necessary tools, building ETL pipelines with Sparklyr, applying machine learning models to big data, and using Power BI for creating powerful visualisations. Learners will explore how to extract, transform, and load large datasets, and will develop a strong understanding of big data architecture. They will also gain proficiency in visualising complex data and presenting findings effectively. The course is structured to enhance learners' problem-solving abilities and their competence in big data environments, equipping them with the skills needed to manage and interpret vast amounts of information. Develop Big Data Pipelines with R, Sparklyr & Power BI Curriculum: Module 01: Introduction Module 02: Setup and Installations Module 03: Building the Big Data ETL Pipeline with Sparklyr Module 04: Big Data Machine Learning with Sparklyr Module 05: Data Visualisation with Power BI (See full curriculum) Who is this course for? Individuals seeking to understand big data pipelines. Professionals aiming to expand their data engineering skills. Beginners with an interest in data analytics and big data tools. Anyone looking to enhance their ability to analyse and visualise data. Career Path: Data Engineer Data Analyst Data Scientist Business Intelligence Analyst Machine Learning Engineer Big Data Consultant
Power Analysis in AC Circuits Course Overview This course on Power Analysis in AC Circuits provides a comprehensive exploration of the principles and calculations essential for understanding power in alternating current systems. Learners will gain a solid grasp of real, reactive, and complex power, along with power factor correction and the analysis of power in three-phase circuits. The course emphasises the theoretical foundations and mathematical techniques necessary for accurate power analysis. By completing this course, students will be equipped to evaluate and optimise AC power systems effectively, enhancing their technical competence for roles in electrical engineering, energy management, and related fields. Course Description This course delves deeply into the concepts and calculations related to power in AC circuits, starting from fundamental definitions to advanced power factor correction and three-phase power analysis. Topics include power and energy definitions, the behaviour of power in reactive circuits, power trigonometrical identities, and the interpretation of complex power. Learners will develop skills in analysing real and reactive power components and understanding their impact on circuit efficiency. Additionally, the course covers methods to improve power factor and explores power dynamics in three-phase systems. Throughout, emphasis is placed on theoretical understanding and analytical methods to equip learners with the expertise to assess and manage AC power circuits in professional settings. Power Analysis in AC Circuits Curriculum Module 01: Introduction Module 02: Power & Energy Defined Module 03: Power in Reactive Circuits Part A Module 04: Power in Reactive Circuits Part B Module 05: Power Trig Identities Module 06: Power, Real and Reactive Module 07: Power More on Average, Real & Reactive Module 08: Power – Complex Power Module 09: Power Factor Correction Module 10: Power in 3 Phase Circuits (See full curriculum) Who is this course for? Individuals seeking to understand and analyse power in AC electrical systems. Professionals aiming to enhance their knowledge of power factor correction and circuit efficiency. Beginners with an interest in electrical engineering and power systems. Technicians and engineers involved in energy management and electrical maintenance. Career Path Electrical Engineer Power Systems Analyst Energy Manager Electrical Design Engineer Electrical Maintenance Technician Renewable Energy Specialist
Are you looking to step into the REST API automation industry with the latest technologies in the market? Are you keen to learn REST API automation using REST Assured with Java and other latest framework technologies? Interested in learning how REST APIs are automated in projects? Then this course is for you.