7479 Courses delivered On Demand

The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Deep Learning & Neural Networks Python - Keras 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 course for? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum 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 - Layer Tuning for Smaller Network 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 Multi-Layer Perceptron Model Development 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

Ignite your passion for the electrifying world with our course on 'Electrical Engineering With Electric Circuits'. Envision the realm where electricity comes alive, weaving intricate patterns that power our world. Journey with us as we illuminate foundational concepts, delve deep into circuit analysis, and unveil the magic behind operational amplifiers. With each unit, you'll unravel the mysteries of capacitors, inductors, and the fundamental laws governing them, forging a path towards mastery in electrical engineering. Learning Outcomes Develop a solid understanding of the foundational concepts in electrical engineering. Discover and apply the basic laws governing electric circuits. Employ various methods to analyse complex electrical circuits. Understand the principles behind circuit theorems and operational amplifiers. Gain proficiency in working with capacitors and inductors. Why choose this Electrical Engineering With Electric Circuits course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Electrical Engineering With Electric Circuits 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. Who is this Electrical Engineering With Electric Circuits course for? Aspiring electrical engineers seeking foundational knowledge. Technicians aiming for a deeper understanding of electric circuits. University students studying electrical engineering as a major. Hobbyists keen on diving into the world of circuits and electronics. Professionals in related fields aiming to expand their skill set. Career path Electrical Engineer: £25,000 - £55,000 Circuit Designer: £28,000 - £50,000 Operational Amplifier Specialist: £30,000 - £54,000 Electronics Technician: £20,000 - £40,000 System Analyst (Electrical Circuits): £32,000 - £57,000 Researcher in Electrical Engineering: £28,000 - £52,000 Prerequisites This Electrical Engineering With Electric Circuits does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Electrical Engineering With Electric Circuits 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 Unit 1- Basic Concepts Module 1- What Is an Electric Circuit 00:02:00 Module 2-System of Units 00:07:00 Module 3- What Is an Electric Charge 00:05:00 Module 4- What Is an Electric Current 00:08:00 Module 5-Example 1 00:01:00 Module 6- Example 2 00:05:00 Module 7- Example 3 00:02:00 Module 8- What Is Voltage 00:07:00 Module 9- What Is Power 00:06:00 Module 10- What Is Energy 00:04:00 Module 11- Example 4 00:03:00 Module 12-Example 5 00:03:00 Module 13- Dependent and Independent Sources 00:05:00 Module 14- Example 6 Part 1 00:04:00 Module 15- Example 6 Part 2 00:01:00 Module 16- Application 1 Cathode Ray Tube 00:04:00 Module 17-Example 7 00:04:00 Module 18- Application 2 Electricity Bills 00:02:00 Module 19- Example 8 00:03:00 Unit 2- Basic Laws Module 1- Introduction to Basic Laws 00:01:00 Module 2- Definition of Resistance 00:06:00 Module 3- Ohm's Law 00:02:00 Module 4- Types of Resistances 00:06:00 Module 5- Open and Short Circuit 00:05:00 Module 6- Definition of Conductance 00:04:00 Module 7- Example 1 00:02:00 Module 8- Example 2 00:03:00 Module 9-Example 3 00:05:00 Module 10- Branch, Node and Loops 00:07:00 Module 11- Series and Parallel Connection 00:04:00 Module 12- KCL 00:04:00 Module 13- KVL 00:03:00 Module 14- Example 4 00:05:00 Module 15- Example 5 00:02:00 Module 16- Example 6 00:06:00 Module 17- Series Resistors and Voltage Division 00:07:00 Module 18-Parallel Resistors and Current Division 00:12:00 Module 19- Analogy between Resistance and Conductance 00:07:00 Module 20-Example 7 00:03:00 Module 21-Example 8 00:04:00 Module 22- Introduction to Delta-Wye Connection 00:06:00 Module 23-Delta to Wye Transformation 00:05:00 Module 24- Wye to Delta Transformation 00:07:00 Module 25-Example 9 00:03:00 Module 26- Example 10 00:15:00 Module 27- Application Lighting Bulbs 00:03:00 Module 28-Example 11 00:05:00 Unit 3- Methods of Analysis Module 1- Introduction to Methods of Analysis 00:02:00 Module 2- Nodal Analysis with No Voltage Source 00:15:00 Module 3-Example 1 00:04:00 Module 4-Cramer's Method 00:04:00 Module 5-Nodal Analysis with Voltage Source 00:07:00 Module 6- Example 2 00:02:00 Module 7- Example 3 00:13:00 Module 8-Mesh Analysis with No Current Source 00:10:00 Module 9-Example 4 00:04:00 Module 10- Example 5 00:06:00 Module 11-Mesh Analysis with Current Source 00:07:00 Module 12-Example 6 00:08:00 Module 13-Nodal Vs Mesh Analysis 00:04:00 Module 14-Application DC Transistor 00:04:00 Module 15-Example 7 00:04:00 Unit 4- Circuit Theorems Module 1-Introduction to Circuit theorems 00:02:00 Module 2-Linearity of Circuit 00:07:00 Module 3-Example 1 00:04:00 Module 4-Superposition Theorem 00:07:00 Module 5- Example 2 00:04:00 Module 6-Example 3 00:06:00 Module 7-Source Transformation 00:08:00 Module 8-Example 4 00:05:00 Module 9-Example 5 00:03:00 Module 10-Thevenin Theorem 00:10:00 Module 11-Example 6 00:06:00 Module 12-Example 7 00:05:00 Module 13- Norton's Theorem 00:05:00 Module 14-Example 8 00:04:00 Module 15-Example 9 00:05:00 Module 16-Maximum Power Transfer 00:05:00 Module 17-Example 10 00:03:00 Module 18-Resistance Measurement 00:05:00 Module 19-Example 11 00:01:00 Module 20-Example 12 00:04:00 Module 21-Summary 00:05:00 Unit 5- Operational Amplifiers Module 1-Introduction to Operational Amplifiers 00:03:00 Module 2-Construction of Operational Amplifiers 00:07:00 Module 3-Equivalent Circuit of non Ideal Op Amp 00:10:00 Module 4-Vo Vs Vd Relation Curve 00:04:00 Module 5-Example 1 00:09:00 Module 6-Ideal Op Amp 00:07:00 Module 7- Example 2 00:04:00 Module 8-Inverting Amplifier 00:05:00 Module 9-Example 3 00:02:00 Module 10-Example 4 00:02:00 Module 11-Non Inverting Amplifier 00:08:00 Module 12-Example 5 00:03:00 Module 13-Summing Amplifier 00:05:00 Module 14-Example 6 00:02:00 Module 15-Difference amplifier 00:06:00 Module 16-Example 7 00:08:00 Module 17-Cascaded Op Amp Circuits 00:06:00 Module 18-Example 8 00:04:00 Module 19-Application Digital to Analog Converter 00:06:00 Module 20-Example 9 00:04:00 Module 21-Instrumentation Amplifiers 00:05:00 Module 22-Example 10 00:01:00 Module 23-Summary 00:04:00 Unit 6- Capacitors and Inductors Module 1-Introduction to Capacitors and Inductors 00:02:00 Module 2-Capacitor 00:06:00 Module 3-Capacitance 00:02:00 Module 4-Voltage-Current Relation in Capacitor 00:03:00 Module 5-Energy Stored in Capacitor 00:06:00 Module 6-DC Voltage and Practical Capacitor 00:02:00 Module 7-Example 1 00:01:00 Module 8-Example 2 00:01:00 Module 9-Example 3 00:05:00 Module 10-Equivalent Capacitance of Parallel Capacitors 00:02:00 Module 11-Equivalent Capacitance of Series Capacitors 00:03:00 Module 12-Example 4 00:02:00 Module 13-Definition of Inductors 00:06:00 Module 14-Definition of Inductance 00:03:00 Module 15-Voltage-Current Relation in Inductor 00:03:00 Module 16-Power and Energy Stored in Inductor 00:02:00 Module 17-DC Source and Inductor 00:04:00 Module 18-Example 5 00:02:00 Module 19-Series Inductors 00:03:00 Module 20-Parallel Inductors 00:04:00 Module 21-Example 6 00:01:00 Module 22-Small Summary to 3 Basic Elements 00:02:00 Module 23-Example 7 00:05:00 Module 24-Application Integrator 00:05:00 Module 25-Example 8 00:03:00 Module 26-Application Differentiator 00:02:00 Module 27-Example 9 00:06:00 Module 28-Summary 00:05:00 Assignment Assignment - Electrical Engineering With Electric Circuits 00:00:00

Driving a train isn’t just about pressing forward—it’s about handling pressure, thinking fast, and working with others who keep things on track. This mini bundle neatly combines core skills from communication to team leadership, with support in car maintenance to help lay the foundations of vehicle knowledge. Whether you're rail-minded or eyeing transport-related roles, this bundle offers accessible learning that leans into workplace know-how without drifting into overly technical waters. It’s a no-nonsense mix for those interested in roles tied to rail, travel, and team coordination—minus the grease and the guesswork. Learning Outcomes: Learn maintenance basics for understanding vehicle-related operations. Improve how you communicate clearly in high-stress situations. Handle group dynamics with stronger leadership techniques. Approach challenges with confident, logical problem-solving. Understand operational rules and expectations within rail services. Gain useful workplace habits through structured team-based scenarios. Who Is This Course For: Anyone exploring a role in rail operations or support. People interested in basic transport-related knowledge. Beginners aiming to understand driving-related environments. Staff members moving into team supervision roles. Those who want better group communication strategies. Learners seeking structured coordination and task focus. Individuals looking to support vehicle operation teams. New entrants curious about structured transport systems. Career Path (UK Average Salaries): Train Driver – £58,000/year Rail Operations Assistant – £26,000/year Transport Scheduler – £30,500/year Depot Team Leader – £34,000/year Transport Administrator – £25,000/year Passenger Services Officer – £24,500/year

The Initial Teacher Training (ITT) Mini Bundle is designed to give aspiring education support workers a strong footing. Featuring Teaching Assistant, Early Years, Data Entry, Excel, and Team Leader, this course offers clear, no-frills learning that complements school-based responsibilities. Whether you're assisting in classrooms, wrangling data or leading small groups, this bundle keeps things structured and sensible. It suits learners who want to feel more capable in educational settings—while avoiding the dreaded spreadsheet panic or playground confusion. Learning Outcomes: Understand support duties as a Teaching Assistant. Learn core responsibilities in Early Years environments. Build efficiency using structured Data Entry methods. Improve Excel skills for basic educational admin. Explore Team Leader roles within school support settings. Manage time and data in classroom-focused tasks. Who is this Course For: Aspiring Teaching Assistants seeking structured online training. Learners supporting staff in Early Years settings. School workers needing basic Data Entry skills. Individuals using Excel in school admin tasks. Classroom staff preparing for Team Leader duties. Parents supporting learning at home or in nurseries. Education staff brushing up on everyday school duties. Learners preferring flexible, education-focused training online. Career Path: Teaching Assistant – £20,500 average UK salary Early Years Educator – £22,000 average UK salary School Admin Assistant – £21,000 average UK salary Data Entry Officer (Education) – £22,500 average UK salary Team Leader (Classroom Support) – £25,000 average UK salary Learning Support Worker – £23,000 average UK salary

The Diploma in Housekeeping Management Mini Bundle brings a fresh, structured approach to maintaining high standards in domestic or hospitality roles. Featuring Housekeeping, Cleaning, Self Organisation, Health and Safety, and Hospitality and Catering, this online-only course bundle focuses on the details that keep operations smooth—and rooms spotless. Whether you're managing a home, a team, or just trying to avoid another sock disappearing in the wash, this bundle offers structured learning without fluff. It's perfect for those in roles where clean really means clean—and where efficiency and organisation aren't optional extras. Learning Outcomes: Learn thorough Housekeeping methods for orderly environments. Apply proper Cleaning routines to ensure hygienic conditions. Develop time-saving habits through Self Organisation skills. Understand basic Health and Safety principles for workplaces. Grasp the fundamentals of Hospitality and Catering duties. Improve your daily workflow across hospitality-related tasks. Who is this Course For: People interested in Housekeeping and domestic upkeep roles. Hospitality staff learning detailed Cleaning and organisation. Learners focused on better personal Self Organisation. Hotel staff needing structured Health and Safety knowledge. Individuals managing both household and guest services. Those seeking skills in Hospitality and Catering tasks. Staff aiming for more confidence in support functions. Learners preferring online training in a tidy format. Career Path: Housekeeper – £22,000 average UK salary Cleaning Supervisor – £23,500 average UK salary Hospitality Assistant – £21,000 average UK salary Room Attendant – £20,500 average UK salary Catering Support Staff – £21,500 average UK salary Domestic Services Coordinator – £24,000 average UK salary

Insurance and accuracy go hand in hand—and this bundle doesn’t miss a beat. With topics including payroll, forensic accounting, report writing, data analysis and accounting, this course is structured to help learners handle numbers and write about them with precision (and without snore-inducing reports). Each subject is tailored to add another layer to your understanding of financial processes that matter to insurers, regulators, and auditors alike. The goal? To make compliance feel less like a chore and more like a skill you’ve got under control—with data you can trust and reporting you can defend. Learning Outcomes: Learn to manage payroll processes with professional accuracy. Understand forensic accounting and its detailed applications. Develop financial reporting and structured writing techniques. Use data to support business and insurance analysis. Recognise errors and inconsistencies in financial records. Strengthen accounting knowledge for business insurance sectors. Who is this Course For: Professionals working in insurance or finance administration. Beginners wanting to understand insurance and data basics. Individuals managing payroll or report documentation. Bookkeepers exploring wider insurance-related skills. Students aiming for finance or insurance-related careers. Analysts needing structured reporting knowledge. Office workers supporting compliance departments. Anyone keen to write financial reports without guesswork. Career Path: Insurance Claims Officer – Average Salary: £32,000 Report Writer (Finance) – Average Salary: £34,000 Payroll Officer – Average Salary: £28,000 Accounting Clerk – Average Salary: £25,000 Forensic Accounting Assistant – Average Salary: £39,000 Data & Reporting Analyst – Average Salary: £41,000

The Nursing & Care Mini Bundle brings together essential courses for anyone stepping into healthcare roles or supporting others in clinical or care settings. Covering key topics such as nursing, phlebotomy, GDPR awareness, healthcare basics, and first aid, this bundle offers clear, structured content — minus the waffle. Designed with care workers and health assistants in mind, the bundle doesn’t try to be flashy. It simply provides focused knowledge that matters — from understanding GDPR in care environments to learning how to respond during emergencies. For anyone seeking online training without all the usual fuss, this bundle delivers exactly that. Learning Outcomes: Understand nursing responsibilities and their role in patient care. Study the basics of healthcare support and care environments. Learn phlebotomy theory and blood collection awareness. Review emergency response procedures in first aid scenarios. Recognise data protection duties under GDPR guidelines. Develop structured knowledge for health support environments. Who Is This Course For: Aspiring nursing or care assistants looking to build foundation. Health support staff wanting to refresh basic care knowledge. Phlebotomy beginners exploring blood collection as a career. Volunteers supporting health services in clinics or homes. Jobseekers aiming to enter the care or health sector. Staff handling patient records needing GDPR awareness. Community carers wanting structured online learning. Anyone seeking training in first aid and healthcare support. Career Path: Nursing Assistant – £21,000 to £30,000 Phlebotomist – £22,000 to £28,000 Healthcare Support Worker – £20,000 to £26,000 Clinic Receptionist (with GDPR knowledge) – £21,000 to £27,000 First Aid Responder – £21,000 to £29,000 Community Health Worker – £22,000 to £28,000

Train for disability assessor roles with psychology, counselling, and learning disability-focused courses online. Assessing disability requires careful listening, clinical understanding, and more empathy than a spreadsheet can hold. This mini bundle includes psychology, learning disabilities, child psychology, counselling, and first aid—giving you a rounded introduction to the principles behind assessment work in health and care sectors. This is not about becoming an expert in diagnoses but learning the theory and perspective that underpin professional assessor roles. The focus is on observation, structured judgement, and understanding how conditions affect daily life. Whether you work in a related field or are preparing for a new opportunity, this course can help you approach your role with more confidence—and fewer question marks. Learning Outcomes: Understand basic psychological principles behind disability assessment. Identify characteristics of learning disabilities and cognitive challenges. Recognise child developmental concerns relevant to assessment work. Apply counselling strategies in sensitive assessment conversations. Respond appropriately to emergency situations with first aid knowledge. Use structured thinking to assess and record support needs. Who Is This Course For: Aspiring disability assessors across health and care sectors. Healthcare assistants involved in patient observations. Support workers assisting with care or disability needs. Mental health staff needing structured assessment knowledge. Carers seeking insight into learning disabilities. Those handling disability-related benefit assessments. Caseworkers supporting clients with cognitive impairments. Professionals working with families in care and welfare. Career Path (UK Average Salaries): Disability Assessor – £35,000 per year Support Worker – £23,000 per year Mental Health Assistant – £26,500 per year Counselling Assistant – £25,000 per year Learning Disability Officer – £29,000 per year Healthcare Assessor – £33,500 per year

Learn charity-focused accounting, finance, and problem-solving to strengthen your management and analysis skills online. Charity finance is a delicate balance of stewardship, accuracy, and calm problem-solving under pressure. This mini bundle brings together essential topics—accounting, financial analysis, business analysis, business management, and structured problem solving—all focused on the not-for-profit context. Whether you're overseeing budgets or handling funding reports, this bundle supports your role with clarity and purpose. It's ideal for those involved in running, supporting, or reporting within charitable organisations. From planning costs to responding to financial puzzles with a level head, this is where spreadsheet meets strategy—without any need for complicated jargon or beige PowerPoint slides. Learning Outcomes: Understand accounting principles for charity-related finance roles. Analyse financial data to support planning and decision-making. Evaluate charity business activities through structured analysis. Interpret financial reports in a management-led context. Identify and respond to financial and operational issues. Apply structured approaches to charity-focused problem solving. Who Is This Course For: Charity finance officers handling budgeting and expenditure. Admin staff supporting financial reporting within charities. Charity managers overseeing funding and financial planning. Support workers assisting with operational decision-making. Grant officers reviewing costs and funding allocations. Entry-level accountants within charitable organisations. Trustees or board members reviewing charity performance. Fund programme staff handling budgeting-related queries. Career Path (UK Average Salaries): Charity Accountant – £36,000 per year Financial Analyst (Charity) – £37,000 per year Business Analyst (Non-profit) – £38,000 per year Budget Officer – £32,000 per year Operations Coordinator (Charity) – £30,500 per year Programme Finance Officer – £34,000 per year

The Mandatory Training for Healthcare Assistants Mini Bundle covers key topics expected in entry-level care roles. With structured learning in healthcare, nursing, first aid (adult and paediatric), and child safeguarding, this bundle ticks the boxes of basic training without ever sounding like a checklist. It’s clear, structured, and straightforward — ideal for those working in care environments or preparing for one. Whether you're in a support role or exploring one, this bundle offers a strong base of online knowledge in essential healthcare duties and safety awareness. It avoids filler and focuses on what matters — understanding care responsibilities, responding to needs, and keeping people safe. Learning Outcomes: Understand core duties in healthcare support environments and routines. Learn nursing basics to assist patients effectively and professionally. Gain awareness of child protection and safeguarding responsibilities. Study adult and paediatric first aid principles for emergencies. Explore key patient care ethics and appropriate response methods. Review essential safety responsibilities in health support roles. Who Is This Course For: Aspiring healthcare assistants wanting online mandatory training. Entry-level care workers needing training in core health subjects. Carers working with adults or children in domestic settings. Support workers seeking to refresh safeguarding knowledge. Those considering a role in nursing or health support. People looking to meet health training requirements flexibly. Volunteers in community and health-based organisations. Anyone needing structured online first aid and care training. Career Path: Healthcare Assistant – £21,000 to £28,000 Support Worker – £20,000 to £26,000 Care Home Assistant – £20,000 to £25,000 Safeguarding Officer (Entry Level) – £24,000 to £30,000 Nursing Assistant – £21,000 to £30,000 Paediatric Care Assistant – £22,000 to £29,000