1715 Polish courses

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The 'Complete Python Machine Learning & Data Science Fundamentals' course covers the foundational concepts of machine learning, data science, and Python programming. It includes hands-on exercises, data visualization, algorithm evaluation techniques, feature selection, and performance improvement using ensembles and parameter tuning. Learning Outcomes: Understand the fundamental concepts and types of machine learning, data science, and Python programming. Learn to prepare the system and environment for data analysis and machine learning tasks. Master the basics of Python, NumPy, Matplotlib, and Pandas for data manipulation and visualization. Gain insights into dataset summary statistics, data visualization techniques, and data preprocessing. Explore feature selection methods and evaluation metrics for classification and regression algorithms. Compare and select the best machine learning model using pipelines and ensembles. Learn to export, save, load machine learning models, and finalize the chosen models for real-time predictions. Why buy this Complete Python Machine Learning & Data Science Fundamentals? 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Complete Python Machine Learning & Data Science Fundamentals 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 Complete Python Machine Learning & Data Science Fundamentals is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Course Overview & Table of Contents Course Overview & Table of Contents 00:09:00 Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types Introduction to Machine Learning - Part 1 - Concepts , Definitions and Types 00:05:00 Introduction to Machine Learning - Part 2 - Classifications and Applications Introduction to Machine Learning - Part 2 - Classifications and Applications 00:06:00 System and Environment preparation - Part 1 System and Environment preparation - Part 1 00:08:00 System and Environment preparation - Part 2 System and Environment preparation - Part 2 00:06:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 1 00:10:00 Learn Basics of python - Assignment Learn Basics of python - Assignment 2 00:09:00 Learn Basics of python - Functions Learn Basics of python - Functions 00:04:00 Learn Basics of python - Data Structures Learn Basics of python - Data Structures 00:12:00 Learn Basics of NumPy - NumPy Array Learn Basics of NumPy - NumPy Array 00:06:00 Learn Basics of NumPy - NumPy Data Learn Basics of NumPy - NumPy Data 00:08:00 Learn Basics of NumPy - NumPy Arithmetic Learn Basics of NumPy - NumPy Arithmetic 00:04:00 Learn Basics of Matplotlib Learn Basics of Matplotlib 00:07:00 Learn Basics of Pandas - Part 1 Learn Basics of Pandas - Part 1 00:06:00 Learn Basics of Pandas - Part 2 Learn Basics of Pandas - Part 2 00:07:00 Understanding the CSV data file Understanding the CSV data file 00:09:00 Load and Read CSV data file using Python Standard Library Understanding the CSV data file 00:09:00 Load and Read CSV data file using NumPy Load and Read CSV data file using Python Standard Library 00:09:00 Load and Read CSV data file using Pandas Load and Read CSV data file using Pandas 00:05:00 Dataset Summary - Peek, Dimensions and Data Types Dataset Summary - Peek, Dimensions and Data Types 00:09:00 Dataset Summary - Class Distribution and Data Summary Dataset Summary - Class Distribution and Data Summary 00:09:00 Dataset Summary - Explaining Correlation Dataset Summary - Explaining Correlation 00:11:00 Dataset Summary - Explaining Skewness - Gaussian and Normal Curve Dataset Summary - Explaining Skewness - Gaussian and Normal Curve 00:07:00 Dataset Visualization - Using Histograms Dataset Visualization - Using Histograms 00:07:00 Dataset Visualization - Using Density Plots Dataset Visualization - Using Density Plots 00:06:00 Dataset Visualization - Box and Whisker Plots Dataset Visualization - Box and Whisker Plots 00:05:00 Multivariate Dataset Visualization - Correlation Plots Multivariate Dataset Visualization - Correlation Plots 00:08:00 Multivariate Dataset Visualization - Scatter Plots Multivariate Dataset Visualization - Scatter Plots 00:05:00 Data Preparation (Pre-Processing) - Introduction Data Preparation (Pre-Processing) - Introduction 00:09:00 Data Preparation - Re-scaling Data - Part 1 Data Preparation - Re-scaling Data - Part 1 00:09:00 Data Preparation - Re-scaling Data - Part 2 Data Preparation - Re-scaling Data - Part 2 00:09:00 Data Preparation - Standardizing Data - Part 1 Data Preparation - Standardizing Data - Part 1 00:07:00 Data Preparation - Standardizing Data - Part 2 Data Preparation - Standardizing Data - Part 2 00:04:00 Data Preparation - Normalizing Data Data Preparation - Normalizing Data 00:08:00 Data Preparation - Binarizing Data Data Preparation - Binarizing Data 00:06:00 Feature Selection - Introduction Feature Selection - Introduction 00:07:00 Feature Selection - Uni-variate Part 1 - Chi-Squared Test Feature Selection - Uni-variate Part 1 - Chi-Squared Test 00:09:00 Feature Selection - Uni-variate Part 2 - Chi-Squared Test Feature Selection - Uni-variate Part 2 - Chi-Squared Test 00:10:00 Feature Selection - Recursive Feature Elimination Feature Selection - Recursive Feature Elimination 00:11:00 Feature Selection - Principal Component Analysis (PCA) Feature Selection - Principal Component Analysis (PCA) 00:09:00 Feature Selection - Feature Importance Feature Selection - Feature Importance 00:07:00 Refresher Session - The Mechanism of Re-sampling, Training and Testing Refresher Session - The Mechanism of Re-sampling, Training and Testing 00:12:00 Algorithm Evaluation Techniques - Introduction Algorithm Evaluation Techniques - Introduction 00:07:00 Algorithm Evaluation Techniques - Train and Test Set Algorithm Evaluation Techniques - Train and Test Set 00:11:00 Algorithm Evaluation Techniques - K-Fold Cross Validation Algorithm Evaluation Techniques - K-Fold Cross Validation 00:09:00 Algorithm Evaluation Techniques - Leave One Out Cross Validation Algorithm Evaluation Techniques - Leave One Out Cross Validation 00:05:00 Algorithm Evaluation Techniques - Repeated Random Test-Train Splits Algorithm Evaluation Techniques - Repeated Random Test-Train Splits 00:07:00 Algorithm Evaluation Metrics - Introduction Algorithm Evaluation Metrics - Introduction 00:09:00 Algorithm Evaluation Metrics - Classification Accuracy Algorithm Evaluation Metrics - Classification Accuracy 00:08:00 Algorithm Evaluation Metrics - Log Loss Algorithm Evaluation Metrics - Log Loss 00:03:00 Algorithm Evaluation Metrics - Area Under ROC Curve Algorithm Evaluation Metrics - Area Under ROC Curve 00:06:00 Algorithm Evaluation Metrics - Confusion Matrix Algorithm Evaluation Metrics - Confusion Matrix 00:10:00 Algorithm Evaluation Metrics - Classification Report Algorithm Evaluation Metrics - Classification Report 00:04:00 Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction Algorithm Evaluation Metrics - Mean Absolute Error - Dataset Introduction 00:06:00 Algorithm Evaluation Metrics - Mean Absolute Error Algorithm Evaluation Metrics - Mean Absolute Error 00:07:00 Algorithm Evaluation Metrics - Mean Square Error Algorithm Evaluation Metrics - Mean Square Error 00:03:00 Algorithm Evaluation Metrics - R Squared Algorithm Evaluation Metrics - R Squared 00:04:00 Classification Algorithm Spot Check - Logistic Regression Classification Algorithm Spot Check - Logistic Regression 00:12:00 Classification Algorithm Spot Check - Linear Discriminant Analysis Classification Algorithm Spot Check - Linear Discriminant Analysis 00:04:00 Classification Algorithm Spot Check - K-Nearest Neighbors Classification Algorithm Spot Check - K-Nearest Neighbors 00:05:00 Classification Algorithm Spot Check - Naive Bayes Classification Algorithm Spot Check - Naive Bayes 00:04:00 Classification Algorithm Spot Check - CART Classification Algorithm Spot Check - CART 00:04:00 Classification Algorithm Spot Check - Support Vector Machines Classification Algorithm Spot Check - Support Vector Machines 00:05:00 Regression Algorithm Spot Check - Linear Regression Regression Algorithm Spot Check - Linear Regression 00:08:00 Regression Algorithm Spot Check - Ridge Regression Regression Algorithm Spot Check - Ridge Regression 00:03:00 Regression Algorithm Spot Check - Lasso Linear Regression Regression Algorithm Spot Check - Lasso Linear Regression 00:03:00 Regression Algorithm Spot Check - Elastic Net Regression Regression Algorithm Spot Check - Elastic Net Regression 00:02:00 Regression Algorithm Spot Check - K-Nearest Neighbors Regression Algorithm Spot Check - K-Nearest Neighbors 00:06:00 Regression Algorithm Spot Check - CART Regression Algorithm Spot Check - CART 00:04:00 Regression Algorithm Spot Check - Support Vector Machines (SVM) Regression Algorithm Spot Check - Support Vector Machines (SVM) 00:04:00 Compare Algorithms - Part 1 : Choosing the best Machine Learning Model Compare Algorithms - Part 1 : Choosing the best Machine Learning Model 00:09:00 Compare Algorithms - Part 2 : Choosing the best Machine Learning Model Compare Algorithms - Part 2 : Choosing the best Machine Learning Model 00:05:00 Pipelines : Data Preparation and Data Modelling Pipelines : Data Preparation and Data Modelling 00:11:00 Pipelines : Feature Selection and Data Modelling Pipelines : Feature Selection and Data Modelling 00:10:00 Performance Improvement: Ensembles - Voting Performance Improvement: Ensembles - Voting 00:07:00 Performance Improvement: Ensembles - Bagging Performance Improvement: Ensembles - Bagging 00:08:00 Performance Improvement: Ensembles - Boosting Performance Improvement: Ensembles - Boosting 00:05:00 Performance Improvement: Parameter Tuning using Grid Search Performance Improvement: Parameter Tuning using Grid Search 00:08:00 Performance Improvement: Parameter Tuning using Random Search Performance Improvement: Parameter Tuning using Random Search 00:06:00 Export, Save and Load Machine Learning Models : Pickle Export, Save and Load Machine Learning Models : Pickle 00:10:00 Export, Save and Load Machine Learning Models : Joblib Export, Save and Load Machine Learning Models : Joblib 00:06:00 Finalizing a Model - Introduction and Steps Finalizing a Model - Introduction and Steps 00:07:00 Finalizing a Classification Model - The Pima Indian Diabetes Dataset Finalizing a Classification Model - The Pima Indian Diabetes Dataset 00:07:00 Quick Session: Imbalanced Data Set - Issue Overview and Steps Quick Session: Imbalanced Data Set - Issue Overview and Steps 00:09:00 Iris Dataset : Finalizing Multi-Class Dataset Iris Dataset : Finalizing Multi-Class Dataset 00:09:00 Finalizing a Regression Model - The Boston Housing Price Dataset Finalizing a Regression Model - The Boston Housing Price Dataset 00:08:00 Real-time Predictions: Using the Pima Indian Diabetes Classification Model Real-time Predictions: Using the Pima Indian Diabetes Classification Model 00:07:00 Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset Real-time Predictions: Using Iris Flowers Multi-Class Classification Dataset 00:03:00 Real-time Predictions: Using the Boston Housing Regression Model Real-time Predictions: Using the Boston Housing Regression Model 00:08:00 Resources Resources - Python Machine Learning & Data Science Fundamentals 00:00:00

Stakeholders can make or break your strategy—whether you're launching a project, managing a brand, or steering an organisation through change. The Stakeholders & Public Relations Course helps you understand who matters, why they matter, and how to communicate with them effectively. From boardroom influence to public perception, this course explores the fine art of keeping people happy without losing your mind—or your message. You'll learn how public relations plays a key role in shaping narratives, managing expectations, and building trust with different interest groups. Whether you're dealing with shareholders, customers, staff, or the media, your message needs more than just polish—it needs purpose. This course helps you grasp the mechanics of good public relations, the psychology behind stakeholder behaviour, and the strategy required to balance multiple priorities with confidence. Perfect for those who want to stop guessing and start engaging, the content is sharp, informative, and built to help you think smarter—not shout louder. It’s less about fluff and more about facts, tactics, and results. This bundle includes the following courses: Course 01: Stakeholder Management Course 02: PR : Public Relation Key Features Accredited by CPD Instant e-certificate Fully online, interactive Stakeholders & Public Relations course with audio voiceover Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Enrol now in this Stakeholders & Public Relations course to excel! How You will be Benefited from Stakeholders & Public Relations Bundle All through this self-paced training, you will get engaging learning materials and acquire the necessary knowledge to work with various concepts to gain a competitive advantage in the employment market. Accreditation All of our courses included in this Stakeholders & Public Relations bundle are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Stakeholders & Public Relations course, you will immediately be sent digital certificates for the bundle courses. Who is this course for? Anyone with a knack for learning new skills can take this Stakeholders & Public Relations bundle. Requirements There are no formal requirements for this bundle courses to be enrolled. Career path This Stakeholders & Public Relations bundle of courses will help you to uplift your career. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

In this starter course you will learn the basics of silversmithing, like soldering, polishing, saw piercing, stamping and texturizing.

Get ready to dive into the vibrant world of nail artistry with this all-in-one Nail Technician Diploma course. Whether you're drawn to the precision of gel techniques, the durability of acrylic nails, or the creative flair of nail art, this course lays out everything in clear, enjoyable steps. From shaping and prepping to colour application and artistic detail, you’ll discover how nail enhancement works—from brush to brilliance—all delivered online with flexibility to suit your schedule. Ideal for beginners or those brushing up their skills, this course is structured to guide you through nail design methods, essential safety measures, client care, and industry insights—all with a dose of professional charm. It’s not just about polish; it’s about knowing the ins and outs of nail beauty and how to turn it into a confident career move. No fluff, no frills—just everything you need to get your fingers on the pulse of today’s nail industry. ________________________________________________________________________ Key Features: CPD QS Certified Nail Technician (Nail Art, Gel & Acrylic Nail Manicure) Diploma With Complete Career Guide 10 Instant e-certificate and hard copy dispatch by next working day Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum: Module 01: Nail Technician 101 Module 02: General Anatomy Module 03: Skin Structure, Growth, And Nutrition Module 04: Anatomy Of Nail Module 05: Equipment For The Technician Module 06: Tools And Techniques Module 07: Basics Of Chemistry And Chemicals Module 08: Nail Product Chemistry Module 09: Manicure Module 10: Pedicure Module 11: Nail Diseases And Skin Problems Module 12: Artificial Nails Module 13: Nail Art Module 14: Safety Practices Module 15: Career Prospect And Business Preparations Module 16: UK Legislations And Pandemic Implications ________________________________________________________________________ Complete Career Guide for Nail Technician (Nail Art, Gel & Acrylic Nail Manicure) Diploma (A to Z) This isn't just a course; it's your ticket to thriving in the sector and your roadmap to the Nail Technician. In addition to mastering the essentials of Nail Technician, you'll also gain valuable skills in CV writing, job searching, communication, leadership, and project management. These 9 complementary courses are designed to empower you at every stage of your journey. Stand out in your career, from crafting a winning CV to excelling in interviews. Develop the leadership skills to inspire your team and efficiently manage projects. This holistic approach ensures you're not just job-ready but career-ready. Enrol today, and let's build your success story together in Nail Technician. Your dream career starts here! List of career guide courses included in Nail Technician (Nail Art, Gel & Acrylic Nail Manicure) Diploma With Complete Career Guide: Course 01: Professional CV Writing and Job Searching Course 02: Communication Skills Training Course 03: Career Development Training Course 04: Time Management Course 05: Returning to Work Training Course 06: Level 3 Diploma in Project Management Course 07: Leadership Skills Course 08: Body Language Course 09: Interview and Recruitment ________________________________________________________________________ Learning Outcomes: Demonstrate proficiency in Nail Technician basics and techniques. Understand the anatomy of the skin and nails for optimal care. Apply knowledge of chemistry and chemicals in nail services. Master the art of creating artificial nails and intricate nail art. Implement safety practices ensuring a secure salon environment. Develop a comprehensive understanding of UK legislations and pandemic implications. ________________________________________________________________________ Accreditation All of our courses, including the Nail Technician (Nail Art, Gel & Acrylic Nail Manicure) Diploma With Complete Career Guide, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Nail Technician (Nail Art, Gel & Acrylic Nail Manicure) Diploma With Complete Career Guide, you will immediately be sent your digital certificates. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we recommend renewing them every 12 months. Assessment At the end of the courses, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring Nail Technicians seeking foundational knowledge and skills. Individuals with an interest in beauty and nail aesthetics. Those aiming for a career in the nail care industry. Professionals looking to expand their expertise in beauty services. Career path Nail Technician - £18K to 25K/year. Salon Manager - £20K to 30K/year. Nail Art Specialist - £18K to 28K/year. Beauty Educator - £22K to 35K/year. Beauty Salon Owner - £25K to 40K/year. Certificates 10 CPD Accredited e-Certificates Digital certificate - Included 10 CPD Accredited Hard Copy Certificates Hard copy certificate - Included

Social Worker Online Training: Social Worker Are you ready to make a difference in the lives of others? Our Social Worker Training course is designed for aspiring social workers looking to enhance their skills and knowledge. With our comprehensive curriculum, you’ll gain the tools needed to excel as a social worker in today’s challenging environment. In our Social Worker Training course, you’ll learn essential techniques and best practices that every successful social worker should know. Our experienced instructors, who are seasoned social workers themselves, will guide you through real-world scenarios that prepare you for the field. Social workers strive to improve the quality of life for others. They tackle large-scale social issues and their local impact on individuals, families, and communities. Social workers are agents of change in society and the lives of the individuals, families, and communities they serve, figuring out how to help others reach their full potential. Through this Social Worker course, you will quickly gain the knowledge needed to encourage change. Special Offers of this Social Worker: Social Worker Course. This Social Worker: Social Worker Course includes a FREE PDF Certificate. Lifetime access to this Social Worker: Social Worker Course Instant access to this Social Worker: Social Worker Course 24/7 Support Available to this Social Worker: Social Worker Course [ Note: Free PDF certificate as soon as completing the Social Worker: Social Worker course] Social Worker Online Training In our Social Worker Training course, social workers will discover vital skills that every social worker needs. Each social worker will engage with real cases, enhancing their abilities. By the end of the Social Worker Training course, each aspiring social worker will feel empowered and ready to succeed as a professional social worker. Certificate of Completion You will receive a course completion certificate for free as soon as you complete the Social Worker course. Who is this course for? Social Worker Training: Social Worker This Social Worker course is ideal for: Students Recent graduates Job Seekers Anyone interested in social work People already working in the relevant fields and want to polish their knowledge and skill. Requirements Social Worker Training: Social Worker To enrol in this Social Worker: Social Worker Course, students must fulfil the following requirements: Social Worker: Good Command over English language is mandatory to enrol in our Social Worker Course. Social Worker: Be energetic and self-motivated to complete our Social Worker Course. Social Worker: Basic computer Skill is required to complete our Social Worker Course. Social Worker: If you want to enrol in our Social Worker Course, you must be at least 15 years old. Career path Social Worker This Social Worker course can help you start or progress your career.

Practice Nurse: Practice Nurse Course Online Nursing practice is a rapidly growing field in the healthcare industry, with nurses working in a variety of settings as members of multidisciplinary health care teams. The responsibilities of a Practice Nurse Course range from administration to medical treatment. This Practice Nurse: Practice Nurse Course will guide you through the healthcare framework and provide you with the knowledge you need to succeed. This exclusive Practice Nurse Course will provide you with a thorough overview of practice nursing. Through this Practice Nurse: Practice Nurse Course, you will understand the roles and responsibilities of a practising nurse. The Practice Nurse Course will teach you how to collect medical information, provide first aid, and perform other nursing duties. You will also understand the importance and role of nursing in a variety of social settings. Main Course : Practice Nurse Training Free Courses: Course 01: Diploma in Nurse Prescribing Course 02: Nursing & Prescribing Course 03: Nursery Nurse [ Note: Free PDF certificate as soon as completing the Practice Nurse Training course] Practice Nurse: Practice Nurse Course Online This Practice Nurse: Practice Nurse Course consists of 13 modules. Course curriculum of Practice Nurse Course Module 01: Introduction to Practice Nursing Module 02: Making the Transition from Hospital to Primary Care Module 03: Working Safely Module 04: Patient Focus Module 05: Team Working and Working with Other Professionals Module 06: Working with Vulnerable Groups Module 07: Carer Support Module 08: Safety, Infection Control & Hygiene Module 09: Diagnostic Testing Module 10: Medication Administration Module 11: Documentation and Informatics Module 12: Comfort and Sleep Module 13: Nursing, Healing, and Caring Assessment Method of Practice Nurse: Practice Nurse Course After completing Practice Nurse Course, you will get quizzes to assess your learning. You will do the later modules upon getting 60% marks on the quiz test. Apart from this, you do not need to sit for any other assessments. Certification of Practice Nurse: Practice Nurse Course After completing the Practice Nurse Course, you can instantly download your certificate for FREE. The hard copy of the certification will also be delivered to your doorstep via post, which will cost £13.99. Who is this course for? Practice Nurse: Practice Nurse Course Online This Practice Nurse: Practice Nurse Course is suitable for those interested in nursing or those already working in the relevant fields and want to polish their knowledge and skill. Requirements Practice Nurse: Practice Nurse Course Online To enrol in this Practice Nurse: Practice Nurse Course, students must fulfil the following requirements: Good Command over English language is mandatory to enrol in our Practice Nurse: Practice Nurse Course. Be energetic and self-motivated to complete our Practice Nurse: Practice Nurse Course. Basic computer Skill is required to complete our Practice Nurse: Practice Nurse Course. If you want to enrol in our Practice Nurse: Practice Nurse Course, you must be at least 15 years old. Career path Practice Nurse: Practice Nurse Course Online The knowledge you will gain through this course may lead you to a variety of career opportunities. Such as: - Nursing Assistant, Nursing Administrator, Nursing Home Manager, Nurse Midwife, Practice Nurse.

Looking after someone is a noble responsibility—but it shouldn’t feel overwhelming or unclear. This online Carer Training Course is designed to help you build confidence, understanding, and knowledge in a way that’s both manageable and meaningful. Whether you're supporting a loved one or stepping into a caring role for the first time, this course offers reliable insight into the essentials of care, from daily support needs to emotional awareness. It’s not about ticking boxes—it’s about knowing what matters and why. You’ll gain a solid grasp of topics such as safeguarding, effective communication, dignity in care, and safe working practices—all from the comfort of your own home. We’ve trimmed the fluff, skipped the jargon, and focused on what genuinely helps. This isn’t about impressing with fancy phrases; it’s about clarity, relevance, and guidance that sticks. Whether you're here out of love, duty, or both, this course is built for you—with a friendly tone, a structured path, and a firm focus on doing care properly. Key Features of the Carer Course : Accredited by CPD Instant e-certificate Fully online, interactive course with audio voiceover Developed by qualified professionals in the field Self-paced learning and laptop, tablet, smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Additional Gifts Free Life Coaching Course Course Curriculum The detailed curriculum outline of our Carer course is as follows: ***Carer*** Module 01: Introduction to Health and Social Care Module 02: Rights and Responsibilities as a Health and Social Care Worker Module 03: Role as A Caregiver and Healthcare Professional Module 04: Important Principles and Policies in Health and Social Care Work Module 05: Understanding Child Development Module 06: Care for Children Module 07: Healthy Food, Healthy living Module 08: Keeping Children Healthy and Safe Module 09: Child Protection Module 10: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 1 Module 11: Understanding Legal, Professional Standards of Practice and Ethical Aspects of Health Care Part - 2 Module 12: Safeguarding Vulnerable Individuals Module 13: Health and Safety Responsibilities Module 14: Risk Management in Health and Social Care Module 15: Introduction to the Care Planning Process Module 16: Planning Care With the Individual in Need Module 17: Concept Care Mapping Module 18: Implementing and Evaluating the Care Plan Module 19: Maintaining Medical Records Module 20: Care Planning Policy in the UK Module 21: Confidentiality and Record-Keeping Module 22: Safeguarding Children, Young People and Their Families Module 23: Supporting a Healthy Pregnancy Module 24: Maternity Care Assistance as a Career Accreditation All of our courses, including this Carer course, are fully accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. Certification Once you've successfully completed your Carer course, you will immediately be sent a digital certificate. Also, you can have your printed certificate delivered by post (shipping cost £3.99). Our certifications have no expiry dates, although we do recommend that you renew them every 12 months. Assessment At the end of the course, there will be an online assessment, which you will need to pass to complete the course. Answers are marked instantly and automatically, allowing you to know straight away whether you have passed. If you haven't, there's no limit on the number of times you can take the final exam. All this is included in the one-time fee you paid for the course itself. CPD 15 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone with a knack for learning new skills can take this Carer course. While this comprehensive training is popular for preparing people for job opportunities in the relevant fields, it also helps to advance your career for promotions. Requirements No formal Qualifications are needed. Please be noted: This course does not qualify you to work as a professional in this specific sector. Instead, this course will assist you in understanding the fundamentals so that you can improve your knowledge in the relevant field. Career path Carer: £10.75-£18.50/Hour Care Assistant: £11- £15.50/Hour Care Worker: £800/week Support Worker: £9.20- £10.25/Hour Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the hard copy certificates for Free! The delivery charge of the hard copy certificate inside the UK is £3.99 each.

The perfect course for car care enthusiasts who have a passion for keeping their cherished vehicles in peak cosmetic condition safely and effectively, using tips and tricks to preserve and protect finishes, and who want to further their knowledge of detailing. Enthusiast Classic Car detailer training. The perfect course for classic car care enthusiasts who have a passion for keeping their vintage cherished vehicle in peak cosmetic condition, and who want to further their knowledge of detailing with a slant towards the classic end of the market. The course will guide the attendee through best practice processes of safe washing, decontamination, inspection, paint protection and preservation, mild paint correction, leather, plastics and vinyl care, and discuss/apply the various protection options on offer including paint type suitability. Course Details: • Assessment of vehicle exterior & interior inspection. • Cleaning, decontamination & preparatory work of the vehicle body: Washing processes, Pre-wash & snow foam, multi bucket methods, acids and alkalis, fallout removers and in-depth cleaning practices. Use of low water, less invasive wash methods and drying techniques • Cleaning, decontamination & preparatory work of alloy, steel and wire wheels. • Paintwork inspection using lighting techniques, depth gauges, and visual cues. Identifying paint types and areas of concern, and how to address them. • Engine bay cleaning and steaming, what chemicals can be used where, brightwork and mare metal care, what can you safely clean? • Practical overview of machine polisher ranges and their usage. • Practical overview of various polishing compounds and pad combinations. • Paintwork and Wheel protection options and application technique. • Glass cleansing and protection practical overview. • Detailing tips and tricks to give you the best results. You will have hands-on experience starting from the very beginning and working your way through all steps of a full enhancement detail, it will then be up to you to build on the knowledge you have gained by practising on your own vehicle, with ongoing support. The course is run from our fully equipped studio in the heart of Gloucestershire, with easy access to the M4/M5, and under an hour and a half to the M25. Course Length 1 Day (0930-1600) Group Size One-to-One Location UK Detailing Academy, 2 Purlieus Barn, Ewen, Cirencester, GL7 6BY Experience / Qualification Open to all Refreshments or Lunch Refreshments included

Who is this course for? Sketchup Artificial Intelligence Training Course. Mastering SketchUp Artificial Intelligence (AI) is essential for designers, offering automation, efficiency, and innovative solutions. It saves time, enhances visualizations, fosters collaboration, and future-proofs skills, ensuring a competitive edge in the design industry. Click here for more info: Website How to Book? 1-on-1 training. Customize your schedule from Mon to Sat from 9 am to 7 pm Call to book  Duration: 16 hours. Method: In-person or Live Online Sketchup and (Artificial Intelligence) Stable Diffusion Rendering Course (16 hours) Module 1: Sketchup Fundamentals (2 hours) Sketchup software overview and interface navigation Introduction to basic drawing tools and fundamental geometry creation techniques Module 2: Texturing and Material Mastery (2 hours) Application of textures and customization of materials Exploration of texture mapping and comprehensive material libraries Module 3: Illumination and Shadows (2 hours) Comprehending lighting principles and strategic light placement Crafting realistic shadows and reflections Module 4: Advanced Modeling Techniques (3 hours) Creating intricate shapes and harnessing advanced modeling tools Efficiently managing groups, components, and modifiers Module 5: Stable Diffusion Rendering (2 hours) Initiating stable diffusion rendering Optimizing rendering settings for superior outcomes Module 6: Scene Composition and Camera Configuration (2 hours) Exploring composition principles and camera perspectives Scene management and creation of captivating walkthrough animations Module 7: Rendering Optimization Strategies (2 hours) Techniques for optimizing models to expedite rendering Application of render passes and post-processing methods Module 8: Real-World Projects and Portfolio Building (1 hour) Application of acquired skills in completing authentic projects Professional portfolio presentation techniques Optional: Stable Diffusion and Python Installation (Additional 10 hours) Module 1: Introduction to Stable Diffusion and Python Comprehensive understanding of Stable Diffusion and Python's significance Module 2: System Prerequisites Hardware and software requirements for successful installation Module 3: Python Installation Guide Step-by-step installation process for various operating systems Module 4: Configuring Python Environment Configuration of environment variables and package managers Module 5: Stable Diffusion Installation Downloading and installing the Stable Diffusion package Module 6: Setting Up the Development Environment Configuration of integrated development environments (IDEs) for Python and Stable Diffusion Module 7: Troubleshooting and Common Issues Identification and resolution of common installation errors Module 8: Best Practices and Recommendations Effective management of Python and Stable Diffusion installations Module 9: Practical Applications and Projects Hands-on exercises exemplifying the practical usage of Stable Diffusion and Python Module 10: Advanced Topics (Optional) Exploration of advanced features and techniques Stable Diffusion https://stablediffusionweb.com https://stable-diffusion-ui.github.io https://stability.ai/stable-diffusion Upon successful completion of the Sketchup and Stable Diffusion Rendering Course with a focus on AI image rendering, participants will achieve the following: 1. Mastery of AI Image Rendering: Attain expertise in employing AI-powered rendering techniques to produce realistic and top-quality visualizations. 2. Proficiency in Sketchup for 3D Modeling: Navigate the software adeptly, utilize drawing tools with proficiency, and craft intricate 3D models. 3. Enhanced Rendering Optimization: Implement AI-based rendering to enhance model visuals, resulting in faster rendering times and superior image quality. 4. Application of AI-driven Lighting and Shadows: Employ AI algorithms for precise lighting placement, shadows, and reflections, elevating the realism of renderings. 5. Development of a Professional Portfolio: Present AI-rendered projects within a polished professional portfolio, highlighting advanced image rendering capabilities. 1. Mastering Sketchup: Attain proficiency in Sketchup, a renowned and user-friendly 3D modeling software, equipping you with the skills needed to adeptly create and manipulate 3D models. 2. Advanced Rendering Expertise: Explore stable diffusion rendering, an avant-garde technique that simplifies the creation of realistic and high-quality renderings. Broaden your rendering capabilities, producing visually stunning representations of your designs. 3. Practical Industry Applications: Cultivate practical skills relevant to diverse industries, encompassing architecture, interior design, product development, and visualization. Elevate your professional portfolio with captivating renderings that showcase your design prowess. 4. Interactive Learning: Participate in hands-on exercises and projects that promote active learning and the practical application of concepts. Benefit from personalized feedback and expert guidance, ensuring your continuous progress throughout the course. 5. Career Advancement: Elevate your career prospects by adding valuable skills to your toolkit. Proficiency in crafting detailed 3D models and impressive renderings through stable diffusion techniques opens doors to diverse job opportunities within the design and visualization sector. 6. Flexibility and Convenience: Access course materials online and learn at your own pace. Enjoy the flexibility of tailoring the coursework to your schedule, allowing you to harmonize your learning journey with other commitments. Course Advantages: Tailored Learning: Enjoy personalized 1-on-1 sessions, accommodating your schedule from Monday to Saturday, 9 am to 7 pm. Mastery of Sketchup: Develop proficiency in the widely-used and user-friendly 3D modeling software, enabling efficient creation and manipulation of 3D models. Advanced Rendering Proficiency: Acquire expertise in stable diffusion rendering for producing realistic, high-quality renderings that enhance the visual appeal of your designs. Practical Applicability: Develop practical skills applicable across diverse domains, including architecture, interior design, product development, and visualization, enriching your professional portfolio. Interactive Practical Experience: Engage in hands-on exercises with personalized guidance from seasoned instructors, ensuring consistent progress in your skillset. Career Progression: Boost your career opportunities by gaining valuable skills in 3D modeling and generating impressive renderings through stable diffusion techniques. Comprehensive Support: Benefit from free portfolio reviews, mock interviews, and career advice, providing additional resources to enhance your professional journey.