3566 Technology courses in Liverpool delivered On Demand

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Course 1: Basics Of Solar Energy System Introduction To PV System Construction 00:23:00 Solar Heating, Solar Irradiation And Panels 00:37:00 Effect of Insolation and Temperature on V-I Curve 00:04:00 PV Installation, Short Circuit And Open Circuit Tests Using Avometer 00:15:00 Solar Wires And Cables Installation Process 00:22:00 Mounting Of PV System 00:04:00 Shading and Tilt angle 00:15:00 Half Cell Technology In PV System 00:25:00 Importance of Charge Controller 00:03:00 PWM And MPPT Charge Controllers 00:14:00 Understanding More About MPPT Charge Controller 00:24:00 Junction Box 00:03:00 Wiring of Junction Box 00:05:00 Function, Types And Data Sheet Of Inverter 00:55:00 Determining PV Array Max Voltage 00:09:00 Course 2: Batteries In PV System Construction and Types of Batteries Used 00:08:00 Charging of Lead Acid Batteries and Hydrometer 00:06:00 Mainitance of Batteries and Methods of Charging 00:03:00 Cycle of Batteries 00:03:00 Course 3: Components and Design of Off Grid System Off-Grid Solar System 00:02:00 Advantages of Off-Grid Solar System 00:01:00 Equipment of Off Grid Solar System 00:04:00 Inverter Selection in PV System 00:02:00 Example 1 On Designing an Off Grid System 00:01:00 Determine Power Consumption Demands 00:04:00 Sizing of The PV Modules and Inverter Sizing 00:05:00 Battery Sizing 00:08:00 Solar Charge Controller Sizing 00:04:00 MPPT Charge Controller Sizing 00:10:00 Example 2 Design of an Off Grid System 00:19:00 Course 4: Components and Design of On Grid System Gried-Tied Solar System 00:02:00 Advantages of Grid-Tied Solar System 00:03:00 Equipment of Grid-Tied Solar System 00:03:00 Example Design of an ON Grid System 00:10:00 PV Energy According to Area 00:02:00 Course 5: Design of PV System Using PVSyst Program Design of Grid Connected System Using PVSyst Program 00:12:00 Design of an Off Grid Solar Energy System Using PVSyst Program 00:28:00 Design Mega PV System Using PVSyst Program 00:29:00 Course 6: Solar Water Pumping System Introduction To Water Pumping System And Steps Of Design 00:24:00 Solved Example On Solar Pumping System Design 00:22:00 Course 7: Protection Of Solar Energy System Introduction to Protection of PV System 00:06:00 Selection of Fuses and Protection of String 00:13:00 Protection of Arrays 00:06:00 Protection of Inverter 00:07:00 Protection of Transformer 00:06:00 Surge Protection Device 00:02:00 Grounding of PV System 00:06:00 Types of BusBars in PV System and Selection of BusBars 00:12:00 Course 7: Design of PV System Using Excel Sheet Design Of Off Grid PV System Using Excel Sheet 00:26:00 Course 8: Basics of Autocad and Single Line Diagram of PV System Introduction To Autocad 00:02:00 How to Get Free Licence from Autocad. 00:04:00 Starting Autocad and Changing Background 00:02:00 Drawing a Line in Autocad 00:04:00 Drawing a Rectangle in Autocad 00:04:00 Drawing a Circle in Autocad 00:01:00 Drawing a Polygon in Autocad 00:03:00 Drawing an Arc in Autocad 00:01:00 Drawing a PolyLine in Autocad 00:03:00 Multiple Lines Using the Offset Feature 00:03:00 Adding Text to Autocad 00:03:00 Extending Lines in Autocad 00:01:00 Selection in Autocad 00:04:00 F-shortcuts in Autocad 00:01:00 Dimensions in Autocad 00:04:00 Multi Spiral Line and MLD in Autocad 00:02:00 Block and Explode Commands In Autocad 00:02:00 Move and Scale Commands in Autocad 00:01:00 Rotate, Mirror and Fillet Commands in Autocad 00:02:00 Area Calculation and Adding Layer in Autocad 00:03:00 Saving your File and Autosave Feature 00:07:00 Drawing Fluorescent Symbol Using Autocad 00:06:00 Autocad Classic Mode and Workspace 00:03:00 Single Line Diagram Of PV System And Selection Of Fuses And Breakers 00:45:00 Course 9: Design Of Grounding System Effect Of Current On Human Body 00:09:00 Types Of Electric Hazards 00:08:00 Classification of Earthing Systems 00:23:00 Components Of Earthing System 00:09:00 Design and Resistance of Earthing Electrode 00:12:00 Design and Resistance of Earthing Conductor 00:13:00 Measurement of Earth Resistance by Megger and Three Point Method 00:03:00 Design Earthing or Ground Grid Using ETAP 00:21:00 Course 10: MATLAB and ETAP PV Simulation Simulation Of PV Cell In MATLAB And Obtaining V-I Characteristics 00:28:00 Get a Complete Grid-Connected PV System For Free 00:25:00 Simulation of PV System in ETAP 00:24:00 Obtain Your Certificate Order Your Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Discover the keys to success in the real estate industry with our comprehensive Estate Agent & Letting Agent Diploma. Gain essential skills in property marketing, negotiation, and client management. Master the art of property valuation and leasing while staying updated on industry regulations. Elevate your career in real estate with this diploma, designed to empower you with the knowledge and expertise needed to thrive as an estate or letting agent. Enroll now to unlock a rewarding future in the dynamic world of property management.

This course will take you through the concepts of PMBOK (Project Management Body of Knowledge) and will prepare you for the PgMP certification exam. With the help of this course, you will be able to access the lesson-end quizzes and course-end assessments, which will prepare you for the certification exam.

This course will teach you everything that you need to know to get started with C# scripting in Unity. You will learn step-by-step from scratch every feature of the C# language as well as how to implement them in Unity's API to build amazing games.

The PMP course covers the latest trends, emerging practices, and core competencies that are required by a project management professional. Learners will also get an understanding of real-world scenarios through the case studies that are developed by the industry PMP-certified veterans.

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.

Dive into the heart of programming with our course, 'C++ Development: The Complete Coding Guide,' where coding becomes an art and a language in itself. From setting up your development environment to exploring advanced concepts like classes and file I/O, this course is your gateway to mastering the intricate world of C++. Each section unfolds a new layer, unraveling the mystery behind operators, functions, and the mighty preprocessor. It's not just about learning syntax; it's about crafting elegant and efficient code that speaks the language of innovation. Join us on this coding adventure, where your journey from a novice to a C++ maestro awaits! Learning Outcomes Master the fundamentals of C++ programming, from setup to advanced data types. Explore the intricacies of operators, string streams, and control flow statements. Develop a deep understanding of functions and their role in code efficiency. Delve into advanced concepts like classes, file I/O, and the powerful preprocessor. Hone your coding skills with practical exercises and real-world applications. Why choose this C++ Development: The Complete Coding Guide 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 C++ Development: The Complete Coding Guide course for? Aspiring programmers eager to delve into the world of C++ development. Students pursuing computer science or related disciplines. Professionals looking to enhance their coding expertise. Tech enthusiasts curious about the inner workings of C++. Anyone seeking a dynamic skill set in the competitive world of programming. Career path Junior C++ Developer: £25,000 - £35,000 Software Engineer: £30,000 - £45,000 Senior C++ Programmer: £40,000 - £60,000 System Architect: £50,000 - £70,000 Technical Lead: £60,000 - £80,000 Chief Technology Officer (CTO): £80,000 and above Prerequisites This C++ Development: The Complete Coding Guide does not require you to have any prior qualifications or experience. You can just enrol and start learning.This C++ Development: The Complete Coding Guide 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 Section 01: Introduction & Setting Up Introduction 00:04:00 What Is C++? 00:03:00 Setting up A Project 00:07:00 Section 02: Basics Console Out 00:04:00 Data Types 00:03:00 Variables 00:04:00 Console In 00:03:00 Strings 00:04:00 Constants 00:05:00 Section 03: Operators Assignment Operator 00:03:00 Arithmetic Operators 00:04:00 Compound Assignment Operator 00:03:00 Increment & Decrement Operators 00:04:00 Relation & Comparison Operators 00:06:00 Logical Operators 00:07:00 Conditional Ternary Operator 00:04:00 Comma Operator 00:03:00 Type Casting Operator 00:02:00 Bitwise Operators 00:12:00 Size of Operator 00:03:00 Operator Precedence 00:05:00 Section 04: String Streams String Streams 00:04:00 Section 05: Statements & Loops Conditional Statements 00:07:00 For Loop 00:04:00 While Loop 00:03:00 Do While Loop 00:04:00 Range-Based For Loop 00:03:00 GoTo Statement 00:04:00 Switch Statement 00:05:00 Section 06: Functions Functions 00:03:00 Function Return Statement 00:04:00 Function Arguments Passed By Value 00:05:00 Function Arguments Passed By Reference 00:05:00 Function Parameter Default Values 00:03:00 Overloaded Functions 00:04:00 Function Templates 00:04:00 Namespaces 00:06:00 Section 07: Advanced Data Types Arrays 00:03:00 Multidimensional Arrays 00:03:00 References 00:02:00 Pointers 00:04:00 Delete Operator 00:02:00 Struct 00:04:00 Type Aliasing 00:03:00 Unions 00:04:00 Enumerators 00:04:00 Section 08: Classes Introduction to Classes 00:05:00 Class Access 00:04:00 Class Constructor 00:05:00 Class Pointers 00:04:00 Overloading Operators 00:06:00 This Keyword 00:04:00 Constant Objects 00:03:00 Getters and Setters 00:05:00 Static Variables 00:04:00 Static Functions 00:06:00 Template Classes 00:05:00 Class Destructor 00:04:00 Class Copy Constructor 00:03:00 Friend Function 00:06:00 Friend Class 00:06:00 Class Inheritance 00:07:00 Multiple Class Inheritance 00:05:00 Virtual Methods 00:04:00 Abstract Base Class 00:03:00 Section 09: Errors Error Handling 00:04:00 Section 10: The Mighty Preprocessor Preprocessor Macro Definitions 00:04:00 Preprocessor Conditional Directives 00:05:00 Preprocessor Line Directive 00:04:00 Preprocessor Error Directive 00:03:00 Preprocessor Source File Inclusion 00:02:00 Section 11: File I/O Opening A File 00:06:00 Writing to a File 00:04:00 Section 12: Extras Commenting 00:04:00 Class Header and Implementation 00:09:00 Lists 00:04:00 Vectors 00:05:00 Resource Resource - C++ Development: The Complete Coding Guide 00:00:00 Assignment Assignment - C++ Development: The Complete Coding Guide 00:00:00

Level 5 QLS Endorsed Diploma | 150 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support

Level 7 QLS Endorsed Diploma | 180 CPD Points | +Gifts: QLS Certificate + PDF Certificate | 24/7 Learner Support