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Imagine immersing yourself in the thrilling world of game development, where your creative ideas come to life on the screen. Our Flappy Bird Clone: SFML C++ Game Course offers you a golden ticket to the vibrant heart of the entertainment industry, equipping you with the tools to shape your interactive stories. By mastering SFML and C++, you'll unlock the door to a realm of endless possibilities, where you can recreate the beloved Flappy Bird game or even craft your very own gaming masterpiece. Picture yourself skillfully navigating through each stage of game development, from the initial project setup to the intricate intricacies of game engines and flow control. This is not just about gaining technical skills; it's about cultivating a keen problem-solving mindset that will guide you through any challenges you encounter in your development journey. With each lesson, you'll feel a growing sense of accomplishment and confidence, propelling you closer to your ultimate gaming dream. Now, envision the pride and joy you'll experience as you watch your game come to life, a testament to your hard work and dedication. This Flappy Bird Clone: SFML C++ Game Course isn't just a learning experience; it's a personal journey that taps into your passion and potential, ultimately leading you to your desired destination, be it personal satisfaction, professional growth, or even launching your own game. Take the leap and enrol now, and let's turn those dreams into a tangible, interactive reality that others can experience and enjoy. Learning Outcomes Master the basics of game development in SFML C++. Develop skills in setting up a game project efficiently. Gain proficiency in implementing game engines and mechanics. Learn to create various states for game flow control. Understand and apply game logic for better player experience. Learn to implement game-over scenarios and player retries. Enhance skills in adding extra features to games. Gain knowledge on efficiently managing game resources. Who is this course for? Aspiring game developers looking to enhance their skills. Individuals with an interest in game design and development. Professionals seeking to expand their knowledge in C++ and SFML. Students studying computer science or related fields. Anyone with a passion for games and a curiosity to understand their mechanics. Career Path Game Developer: £25,000 - £50,000 Software Engineer: £30,000 - £70,000 C++ Developer: £30,000 - £60,000 Game Designer: £25,000 - £40,000 Application Developer: £25,000 - £50,000 Certification Once you have completed the course materials for the Flappy Bird Clone: SFML C++ Game Course, you will have the opportunity to take a written assignment test. This can be done either during or at the end of the course. Successful completion of the test will allow you to claim your PDF certificate for a nominal fee of £5.99. If you prefer, original hard copy certificates can be ordered for an additional cost of £9.60. Prerequisites There are no specific qualifications or experience required to enrol in the Flappy Bird Clone: SFML C++ Game Course. Crafted by industry professionals, the course is compatible with PCs, Macs, tablets, and smartphones. As long as you have a stable internet connection, you will have the flexibility to access the course material from anywhere at any time. Course Curriculum Section 01: Introduction Introduction 00:02:00 Section 02: Project Creation & Setup Setup Project - Windows (Visual Studio) 00:14:00 Setup Project - Mac OS X (Xcode) 00:11:00 Section 03: Game Engine Setup State Machine 00:18:00 Asset Manager 00:08:00 Input Manager 00:08:00 Game Loop 00:14:00 Section 04: State Creation Splash State 00:17:00 Main Menu State 00:16:00 Game State 00:07:00 Game Over State 00:04:00 Section 05: Game Logic Pipe Class Setup 00:08:00 Spawn Moving Pipes 00:11:00 Automatically Spawning Pipes and Deleting Them 00:08:00 Create Moving Ground 00:14:00 Randomise Pipe Y Position 00:06:00 Bird Class Setup 00:10:00 Animating the Bird 00:08:00 Fly Bird Fly 00:11:00 Rotate Bird 00:06:00 Collision with the Ground & Game State System 00:15:00 Collision with the Pipes 00:09:00 Flash Screen White upon Death 00:12:00 Scoring System 00:15:00 Displaying the Score 00:18:00 Section 06: Game Over Setup 00:16:00 Display Score 00:08:00 Saving Score 00:06:00 Medals 00:08:00 Section 07: Extras Sound Effects 00:08:00 Hide Console on Windows 00:01:00 Distributing Your Game on Windows 00:03:00 Where to Go Next? 00:07:00 Section 08: Resource Resource - Flappy Bird Clone: SFML C++ Game Course 00:00:00 Assignment Assignment - Flappy Bird Clone: SFML C++ Game Course 00:00:00

Overview This comprehensive course on Learn Linux in 5 Days will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Learn Linux in 5 Days comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Learn Linux in 5 Days. It is available to all students, of all academic backgrounds. Requirements Our Learn Linux in 5 Days is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Learning this new skill will help you to advance in your career. It will diversify your job options and help you develop new techniques to keep up with the fast-changing world. This skillset will help you to- Open doors of opportunities Increase your adaptability Keep you relevant Boost confidence And much more! Course Curriculum 10 sections • 45 lectures • 05:58:00 total length •Course Overview: 00:03:00 •Background and Introduction: 00:07:00 •Linux Distributions: 00:05:00 •Installing VirtualBox on Windows: 00:03:00 •Installing VirtualBox on Mac: 00:03:00 •Installing Linux Using an Image for VirtualBox: 00:05:00 •VirtualBox Troubleshooting Tips: 00:02:00 •When to Install Linux from Scratch: 00:15:00 •Installing CentOS from Scratch / CentOS Manual Installation Process: 00:23:00 •Getting Connected: 00:11:00 •Connect Directly: 00:02:00 •The Linux Directory Structure: 00:10:00 •The Shell: 00:08:00 •Basic Linux Commands: 00:05:00 •Teach Yourself to Fish: 00:06:00 •Working with Directories: 00:09:00 •Listing Files and Understanding LS Output: 00:12:00 •File and Directory Permissions Explained - Part One: 00:11:00 •File and Directory Permissions Explained - Part Two: 00:09:00 •View Files and the Nano Editor: 00:05:00 •Editing Files in Vi: 00:10:00 •Editing Files with Emacs: 00:06:00 •Finding Files and Directories: 00:07:00 •Graphical Editors: 00:04:00 •Deleting, Copying, Moving, and Renaming Files: 00:11:00 •Wildcards - Part One: 00:05:00 •Wildcards - Part Two: 00:07:00 •Input, Output, and Redirection: 00:08:00 •Comparing Files: 00:04:00 •Searching in Files and Using Pipes: 00:10:00 •Transferring and Copying Files over the Network: 00:07:00 •Customizing the Shell Prompt: 00:05:00 •Shell Aliases: 00:04:00 •Environment Variables: 00:08:00 •Processes and Job Control: 00:12:00 •Scheduling Repeated Jobs with Cron: 00:06:00 •Switching Users and Running Commands as Others: 00:08:00 •Shell History and Tab Completion: 00:13:00 •Installing Software on RPM Based Linux Distros: RedHat, CentOS, AlmaLinux, Rocky: 00:21:00 •Installing Software on Debian Based Linux Distros: Debian, Ubuntu, Kali Linux: 00:12:00 •Conclusion - Congratulations and Thank You!: 00:01:00 •Connecting to a Linux Virtual Machine over the Network: 00:11:00 •Bonus - Installing NGINX, MySQL, PHP, and WordPress on Ubuntu: 00:09:00 •Resources: 00:15:00 •Assignment - Learn Linux in 5 Days: 00:00:00

Overview This comprehensive course on Data Science & Machine Learning with R will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Data Science & Machine Learning with R comes with accredited certification, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate. Who is This course for? There is no experience or previous qualifications required for enrolment on this Data Science & Machine Learning with R. It is available to all students, of all academic backgrounds. Requirements Our Data Science & Machine Learning with R is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 10 sections • 69 lectures • 22:07:00 total length •Data Science and Machine Learning Introduction: 00:03:00 •What is Data Science: 00:10:00 •Machine Learning Overview: 00:05:00 •Who is This Course for: 00:03:00 •Data Science and Machine Learning Marketplace: 00:05:00 •Data Science and Machine Learning Job Opportunities: 00:03:00 •Getting Started: 00:11:00 •Basics: 00:06:00 •Files: 00:11:00 •RStudio: 00:07:00 •Tidyverse: 00:05:00 •Resources: 00:04:00 •Unit Introduction: 00:30:00 •Basic Type: 00:09:00 •Vector Part One: 00:20:00 •Vectors Part Two: 00:25:00 •Vectors - Missing Values: 00:16:00 •Vectors - Coercion: 00:14:00 •Vectors - Naming: 00:10:00 •Vectors - Misc: 00:06:00 •Creating Matrics: 00:31:00 •List: 00:32:00 •Introduction to Data Frames: 00:19:00 •Creating Data Frames: 00:20:00 •Data Frames: Helper Functions: 00:31:00 •Data Frames Tibbles: 00:39:00 •Intermediate Introduction: 00:47:00 •Relational Operations: 00:11:00 •Conditional Statements: 00:11:00 •Loops: 00:08:00 •Functions: 00:14:00 •Packages: 00:11:00 •Factors: 00:28:00 •Dates and Times: 00:30:00 •Functional Programming: 00:37:00 •Data Import or Export: 00:22:00 •Database: 00:27:00 •Data Manipulation in R Introduction: 00:36:00 •Tidy Data: 00:11:00 •The Pipe Operator: 00:15:00 •The Filter Verb: 00:22:00 •The Select Verb: 00:46:00 •The Mutate Verb: 00:32:00 •The Arrange Verb: 00:10:00 •The Summarize Verb: 00:23:00 •Data Pivoting: 00:43:00 •JSON Parsing: 00:11:00 •String Manipulation: 00:33:00 •Web Scraping: 00:59:00 •Data Visualization in R Section Intro: 00:17:00 •Getting Started: 00:16:00 •Aesthetics Mappings: 00:25:00 •Single Variable Plots: 00:37:00 •Two Variable Plots: 00:21:00 •Facets, Layering, and Coordinate Systems: 00:18:00 •Styling and Saving: 00:12:00 •Creating with R Markdown: 00:29:00 •Introduction to R Shiny: 00:26:00 •A Basic R Shiny App: 00:31:00 •Other Examples with R Shiny: 00:34:00 •Machine Learning Part 1: 00:22:00 •Machine Learning Part 2: 00:47:00 •Starting a Data Science Career Section Overview: 00:03:00 •Data Science Resume: 00:04:00 •Getting Started with Freelancing: 00:05:00 •Top Freelance Websites: 00:05:00 •Personal Branding: 00:05:00 •Importance of Website and Blo: 00:04:00 •Networking Do's and Don'ts: 00:04:00

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

Dive into the art of cake decorating with our Cake Decorating Diploma Course, a comprehensive journey from basic techniques to advanced skills. Imagine the delight of transforming ordinary cakes into exquisite works of art. This course, designed for novices and experienced decorators alike. As you progress, uncover the secrets behind baking the perfect cake and delve into various cake decorating recipes. Our curriculum also covers different types of cakes, the intricacies of frosting and icing, and the use of multiple pastes and glazes. Learn the practical skills of stacking cakes, piping, writing, and essential health, safety, and food hygiene principles. The final stage of this course, Cake Decorating Business, opens doors to potential career opportunities in the world of cake decorating. This course is an adventure in creativity, where learning to decorate your own cake is just the beginning. You will be equipped with numerous cake decorating ideas, from simple chocolate cake decorations to elaborate designs on chocolate cakes. All necessary cake decorating supplies are provided, ensuring a comprehensive learning experience. Join us and unleash the cake decorating company within you. Whether you seek personal fulfilment or professional growth, the realm of cake decorations is waiting to be explored. Learning Outcomes Gain in-depth understanding of various cake types and chocolate cake with decorations techniques. Achieve proficiency in baking cakes and preparing diverse icings and frostings. Master artistic skills in piping, writing, and creating unique cake decorations. Learn and apply essential health, safety, and food hygiene standards in cake decorating. Acquire business acumen for launching and managing a successful cake decorating enterprise. Why buy this Cake Decorating Diploma 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. Certification After studying the course materials of the Cake Decorating Diploma Course 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 Cake Decorating Diploma Course course for? Individuals aspiring to become professional cake decorators. Entrepreneurs aiming to establish their own pastry shop. Pastry chefs seeking to enhance their repertoire in cake decoration. Enthusiasts eager to learn about cake artistry and design. Culinary students wanting to specialize in cake decoration. Prerequisites This Cake Decorating Diploma Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Cake Decorating Diploma Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Cake Decorator: £18,000 - £25,000 per annum. Pastry Chef: £20,000 - £30,000 per annum. Bakery Manager: £22,000 - £28,000 per annum. Food Stylist: £25,000 - £40,000 per annum. Wedding Cake Designer: £20,000 - £35,000 per annum. Culinary Instructor: £20,000 - £30,000 per annum. Course Curriculum Module 01: Introduction to Cake Decorating Introduction to Cake Decorating 00:22:00 Module 02: Baking the Cake Baking the Cake 00:21:00 Module 03: Cake Decorating Recipes Cake Decorating Recipes 00:19:00 Module 04: Types of Cakes Types of Cakes 00:13:00 Module 05: Frosting and Icing Frosting and Icing 00:25:00 Module 06: Working with Different Paste Working with Different Paste 00:22:00 Module 07: Working with Glazes Working with Glazes 00:28:00 Module 08: How to Stack a Cake How to Stack a Cake 00:21:00 Module 09: Piping and Writing Piping and Writing 00:24:00 Module 10: Health, Safety and Food Hygiene Health, Safety and Food Hygiene 00:19:00 Module 11: Cake Decorating Business Cake Decorating Business 00:20:00 Assignment Assignment - Cake Decorating Diploma Course 00:00:00

Step into the vital world of gas safety with our meticulously crafted 'Gas Safety Course.' Picture yourself as a guardian of safety, where each module equips you with the knowledge to protect and serve. Our first module, Gas Safety Legislation, sets the stage, providing a comprehensive understanding of the legal framework that underpins all gas safety practices. As you advance, the course delves into the science of Combustion, demystifying how substances interact with oxygen, vital for ensuring safety in any gas-related environment. Journey through the intricate Transmission System, learning about pipes and flues, essential components in the safe transport and emission of gases. The course continues to evolve, covering Ventilation, a critical aspect in maintaining safe and breathable environments. Tightness Testing and Meter Regulator Check modules ensure you're adept at identifying and rectifying potential gas leaks, a crucial skill in preventing hazards. Appliance Pressures and Gas Rates further enhance your ability to monitor and manage gas appliances effectively. Emergency Isolation Controls and Valves, alongside Gas Safety Devices and Controls, fortify your ability to respond swiftly and effectively in urgent situations. The course culminates with Gas Warning Labelling, Emergency and Evacuation Procedures, and Chimney Standards, ensuring you're well-versed in all aspects of gas safety and appliance maintenance. Learning Outcomes Acquire comprehensive knowledge of gas safety legislation and its practical applications. Understand combustion processes and their implications for gas safety. Learn to inspect and maintain transmission systems, including pipes and flues. Gain expertise in conducting tightness testing and meter regulator checks. Develop skills in emergency procedures and the use of safety devices and controls. Why choose this Gas Safety 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 Gas Safety Course for? Professionals in the gas industry seeking to update or refresh their safety knowledge. New entrants into the gas sector requiring foundational safety training. Technical staff involved in the maintenance and installation of gas systems. Health and safety officers in organisations that deal with gas appliances. Individuals aspiring to a career in gas safety and compliance. Career path Gas Safety Engineer: £28,000 - £40,000 Health and Safety Officer: £22,000 - £35,000 Gas Appliance Technician: £20,000 - £30,000 Facilities Manager: £24,000 - £40,000 Building Services Engineer: £25,000 - £50,000 Compliance Officer: £23,000 - £45,000 Prerequisites This Gas Safety Course does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Gas Safety Course was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Gas Safety Legislation Gas Safety Legislation 00:41:00 Module 02: Combustion Combustion 00:29:00 Module 03: Transmission System: Pipes and Flues Transmission System Pipes and Flues 00:36:00 Module 04: Ventilation Ventilation 00:27:00 Module 05: Tightness Testing Tightness Testing 00:41:00 Module 06: Meter Regulator Check Meter Regulator Check 00:28:00 Module 07: Appliance Pressures and Gas Rates Appliance Pressures and Gas Rates 00:26:00 Module 08: Emergency Isolation Controls and Valves Emergency Isolation Controls and Valves 01:15:00 Module 09: Gas Safety Devices and Controls Gas Safety Devices and Controls 00:41:00 Module 10: Gas Warning Labelling Gas Warning Labelling 00:34:00 Module 11: Emergency and Evacuation Procedures Emergency and Evacuation Procedures 00:33:00 Module 12: Chimney Standards, Inspection and Testing Chimney Standards, Chimney Inspection and Testing 00:38:00 Module 13: Gas Appliances and Safety Gas Appliances and Safety 01:00:00 Assignment Assignment - Gas Safety Course 00:00:00

Learn about AutoCAD to Excel - VBA Programming Hands-On! from industry experts and boost your professional skill. This AutoCAD to Excel - VBA Programming Hands-On! course will enhance your skill and make you ready for the job market. You'll get expert opinions about the best practices and problems of AutoCAD to Excel - VBA Programming Hands-On!. You'll also gain the skills of AutoCAD to Excel - VBA Programming Hands-On! to excel in your job and tips to master professional skills in no time.  You'll be connected with the community of AutoCAD to Excel - VBA Programming Hands-On! professionals and gain first-hand experience of AutoCAD to Excel - VBA Programming Hands-On! problem-solving. The AutoCAD to Excel - VBA Programming Hands-On! is self-paced. You can complete your course and submit the written assignment in your suitable schedule. After completing the AutoCAD to Excel - VBA Programming Hands-On!, you'll be provided with a CPD accredited certificate which will boost your CV and help you get your dream job.  This AutoCAD to Excel - VBA Programming Hands-On! will provide you with the latest information and updates of AutoCAD to Excel - VBA Programming Hands-On!. It will keep you one step ahead of others and increase your chances of growth. Why buy this AutoCAD to Excel - VBA Programming Hands-On!? 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 AutoCAD to Excel - VBA Programming Hands-On! 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 AutoCAD to Excel - VBA Programming Hands-On! does not require you to have any prior qualifications or experience. You can just enrol and start learning.  Prerequisites This AutoCAD to Excel - VBA Programming Hands-On! 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 AutoCAD to Excel - VBA Programming Hands-On! is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Unit 01: Introduction Module 01: Introduction 00:01:00 Module 02: Course Content 00:04:00 Module 03: Who is this Course for? 00:01:00 Module 04: What Will I Learn from this Course? 00:02:00 Unit 02: Exporting AutoCAD Objects to Excel Module 01: Exporting Line Object to Excel Introduction 00:01:00 Module 02: Exporting Line Objects to Excel - Hands-on Demo 00:13:00 Module 03: Exporting MText Objects to Excel Introduction 00:01:00 Module 04: Exporting MText Objects to Excel - Hands-on Demo 00:08:00 Module 05: Exporting Attribute Blocks to Excel Introduction 00:01:00 Module 06: Exporting Attribute Block Objects to Excel - Hands-on Demo 00:15:00 Unit 03: AutoCAD to Excel Extractor Project Module 01: Developing the Extractor Program 00:09:00 Unit 04: Exporting AutoCAD Objects to Delimited Files Module 01: Exporting LWPolyline to CSV File Introduction 00:02:00 Module 02: Exporting LWPolyline Objects to a CSV File - Hands-on Demo (Part 1) 00:04:00 Module 03: Exporting LWPolyline Objects to a CSV File - Hands-on Demo (Part 2) 00:19:00 Module 04: Exporting LWPolyline to a Pipe Delimited File Introduction 00:01:00 Module 05: Exporting LWPolyline to a Pipe Delimited File - Hands-On Demo 00:02:00 Unit 05: Importing Excel File Into AutoCAD Module 01: Importing Line Objects into AutoCAD Introduction 00:01:00 Module 02: Clear Line Objects for Importing Excel Spreadsheet - Hands-On Demo 00:01:00 Module 03: Importing Line Objects Spreadsheet File into AutoCAD - Hands-On Demo 00:14:00 Module 04: Importing MText Objects Excel Spreadsheet File into AutoCAD Introduction 00:01:00 Module 05: Importing MText Objects Excel Spreadsheet File into AutoCAD - Hands - On Demo 00:09:00 Unit 06: Importing CSV and Pipe Delimited Files into AutoCAD Module 01: Importing CSV File into AutoCAD Introduction 00:01:00 Module 02: Importing CSV File into AutoCAD - Hands-On (Part 1) 00:03:00 Module 03: Importing CSV File into AutoCAD - Hands-On (Part 2) 00:18:00 Module 04: Importing Pipe Delimited File into AutoCAD - Hands-On 00:04:00 Unit 07: Conclusion Module 01: Conclusion and Thank you 00:01:00 Assignment Assignment - AutoCAD to Excel - VBA Programming Hands-On! 00:00:00

Experience the future of geographical analysis with our Machine Learning for Predictive Maps in Python and Leaflet course. Master the unique blend of programming, machine learning, and geographic information systems, all while honing your ability to predict and visualise spatial data in a powerful and effective way. This course offers you an unparalleled understanding of modern map creation, combined with the magic of prediction using machine learning models. Starting from the ground up, you'll be introduced to all the necessary setups and installations. After that, you will be diving into the depth of Django server-side code and front-end application code writing. The heart of the course lies in learning how to automate the machine learning pipeline, leading you to easily create predictive models.  Improve your maps with Leaflet programming, making your predictions accurate and also visually striking. By the end of this course, you will be armed with experience furnished by our comprehensive project source code and assignments, empowering you to drive data-driven decisions and insightful spatial analysis. Join us and map your way to success! Sign up today. Learning Outcomes:Upon completion of the Machine Learning course, you will be able to: Understand how to set up and install relevant software and libraries.Master Django server-side and application front-end code writing.Gain proficiency in the concepts and implementation of Machine Learning.Learn to automate Machine Learning pipelines for efficient workflows.Acquire skills in Leaflet programming for enhanced map visuals.Handle project source code effectively for real-world projects.Apply knowledge practically via assignments and gain experience. Who is this course for?This Machine Learning course is ideal for: Aspiring Data Scientists keen on harnessing geographical data.GIS professionals aiming to integrate Machine Learning into their skill set.Software Developers interested in creating geographically-focused applications.Analysts keen on enhancing their data visualisation skills with mapping. CertificationAfter studying the course materials of the Machine Learning for Predictive Maps in Python and Leaflet course, 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 have a range of certification options to choose from. You can claim a CPD Accredited PDF Certificate for £4.99, a CPD Accredited Hardcopy Certificate at £8.00, or you may choose to receive a PDF Transcript for £4.99 or a Hardcopy Transcript for £9.99. Select according to your needs, and we assure timely delivery of your chosen certificate. RequirementsThis professionally designed Machine Learning for Predictive Maps in Python and Leaflet course does not require you to have any prior qualifications or experience. It is open to everyone. You will be able to access the course from anywhere at any time. Just enrol and start learning! Career Path:Our Machine Learning course will help you to pursue a range of career paths, such as: Junior Data Analyst: £25,000 - £35,000 annually.Data Scientist: £40,000 - £60,000 annually.GIS Analyst: £30,000 - £45,000 annually.Geospatial Software Developer: £35,000 - £55,000 annually.Machine Learning Engineer: £50,000 - £80,000 annually.Lead Data Scientist (GIS speciality): £70,000 - £100,000+ annually. Course Curriculum Section 01: Introduction Introduction 00:10:00 Section 02: Setup and Installations Python Installation 00:04:00 Creating a Python Virtual Environment 00:07:00 Installing Django 00:09:00 Installing Visual Studio Code IDE 00:06:00 Installing PostgreSQL Database Server Part 1 00:03:00 Installing PostgreSQL Database Server Part 2 00:09:00 Section 03: Writing the Django Server-Side Code Adding the settings.py Code 00:07:00 Creating a Django Model 00:10:00 Adding the admin.py Code 00:21:00 Section 04: Writing the Application Front-end Code Creating Template Files 00:10:00 Creating Django Views 00:10:00 Creating URL Patterns for the REST API 00:09:00 Adding the index.html code 00:04:00 Adding the layout.html code 00:19:00 Creating our First Map 00:10:00 Adding Markers 00:16:00 Section 05: Machine Learning Installing Jupyter Notebook 00:07:00 Data Pre-processing 00:31:00 Model Selection 00:20:00 Model Evaluation and Building a Prediction Dataset 00:11:00 Section 06: Automating the Machine Learning Pipeline Creating a Django Model 00:04:00 Embedding the Machine Learning Pipeline in the Application 00:42:00 Creating a URL Endpoint for our Prediction Dataset 00:06:00 Section 07: Leaflet Programming Creating Multiple Basemaps 00:09:00 Creating the Marker Layer Group 00:10:00 Creating the Point Layer Group 00:12:00 Creating the Predicted Point Layer Group 00:07:00 Creating the Predicted High Risk Point Layer Group 00:12:00 Creating the Legend 00:09:00 Creating the Prediction Score Legend 00:15:00 Section 08: Project Source Code Resource 00:00:00 Assignment Assignment - Machine Learning for Predictive Maps in Python and Leaflet 00:00:00

24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now! Transform your passion for baking into a profession with our comprehensive Cake Decorating Training course. Whether you're a novice or have some experience, this comprehensive course on Cake Decoration will walk you through the newest methods and patterns in cake decorating. Join us today to explore your creativity and master the art of cake decorating. Master the art of cake decorating with a variety of methods, including fondant, buttercream, and gum paste, by learning from experienced professionals in the industry. You'll discover everything you need to know to make stunning and delectable cakes, from buttercream flowers to fondant figures. The modules cover the fundamentals of baking and cake decorating, including varieties of cakes and types of decorating materials, coating cakes with frosting, icing, and pastes, utilising glazes and stacking layers for the greatest effect, as well as piping, writing, and starting your own business. Additionally, thanks to our flexible online structure, you may learn at your own pace and on your own schedule. After this cake decorating training course, you will be able to learn: Learn the best-kept secrets for preparing desserts, and they'll stay in your digital file cabinet for you to use whenever you want Identify the equipment and ingredients required to bake, put together, and frost a cake Know how to glaze and frost a cake, as well as how to make chocolate decorations Learn how to make cake layers and put together a layer cake Become an expert in finishing touches for cake decoration Enrol right away to make your passion for cake decorating/ cake designing into a rewarding career! Why Prefer this Cake Decorating Training? Opportunity to earn a certificate accredited by CPD after completing this course Get a free student ID card! (£10 postal charge will be applicable for international delivery). Innovative and engaging content. Free assessments. 24/7 tutor support. Start your learning journey straight away with this Cake Decorating Training and take a step toward a brighter future! *** Course Curriculum *** Here is the curriculumn breakdown of this Cake Decorating Training: Module 1: Introduction to Cake Decorating Module 2: Baking the Cake Module 3: Cake Decorating Recipes Module 4: Types of Cakes Module 5: Frosting and Icing Module 6: Working with Different Paste Module 7: Working with Glazes Module 8: How to Stack a Cake Module 9: Piping and Writing Module 10: Health, Safety and Food Hygiene Module 11: Cake Decorating Business Assessment Process Once you have completed all the modules in the course, your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Cake Decorating Training. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The purpose of this Cake Decorating Training is to introduce students to the process of making cakes and to improve their baking abilities. Everyone is welcome to take this course. Especially, For everyone who enjoys creating with joy in their kitchens and has a sweet tooth! Beginner to advanced cake decorators and bakers and Anyone who wants to learn more about the subject. Requirements You will not need any prior background or expertise to enrol in this course. Career path You can learn how to make a variety of cakes and professionally decorate them by finishing the course in the Cake Decorating Online Course. It might also offer the first steps toward launching a bakery company or employment in the baking department of a skilled catering crew. In the UK, cake bakers often make between £12,000 and £25,000 a year. Certificates CPD Accredited Certificate Digital certificate - £10 CPD Accredited Certificate Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.

Ensure the safety of gas systems and appliances with our Gas Safety bundle. Learn how to identify and prevent gas hazards and how to carry out inspections and maintenance safely. Get prepared to work in the gas industry with confidence. This GAS SAFETY online training course is accredited by CPD with 10 CPD points for professional development. Students can expect to complete this training course in around 8 hours. You'll also get dedicated expert assistance from us to answer any queries you may have while studying our course. This course is designed for individuals who work with gas appliances and want to learn how to safely install, maintain and repair them. The course covers the gas safety legislation, combustion, transmission systems including pipes and flues, ventilation, tightness testing, meter regulator check, appliance pressures and gas rates, emergency isolation controls and valves, gas safety devices and controls, gas warning labelling, emergency and evacuation procedures, chimney standards, inspection and testing, and gas appliances safety. The course provides a comprehensive understanding of the regulations and best practices for working with gas appliances, as well as providing practical skills for working on gas systems. Learning Outcomes of Gas Safe Course Bundle: Learn about the regulations and legislation governing gas safety. Learn about combustion, flues, and ventilation. Learn about testing and purging. Keep an eye out for potentially hazardous circumstances. Tips for starting a career in the gas-safety industry. Why Prefer this Course? Opportunity to earn a certificate accredited by CPD after completing this course Student ID card with amazing discounts - completely for FREE! (£10 postal charges will be applicable for international delivery) Standards-aligned lesson planning Innovative and engaging content and activities Assessments that measure higher-level thinking and skills Complete the program in your own time, at your own pace Each of our students gets full 24/7 tutor support Experts created the GAS SAFETY course to provide a rich and in-depth training experience for all students who enrol in it. Enrol in the course right now and you'll have immediate access to all of the course materials. Then, from any internet-enabled device, access the course materials and learn when it's convenient for you. Start your learning journey straight away with this GAS SAFETY course and take a step toward a brighter future! ****Course Curriculum**** Here is the curriculum breakdown of course: Module 01: Gas Safety Legislation Module 02: Combustion Module 03: Transmission System: Pipes and Flues Module 04: Ventilation Module 05: Tightness Testing Module 06: Meter Regulator Check Module 07: Appliance Pressures and Gas Rates Module 08: Emergency Isolation Controls and Valves Module 09: Gas Safety Devices and Controls Module 10: Gas Warning Labelling Module 11: Emergency and Evacuation Procedures Module 12: Chimney Standards, Inspection and Testing Module 13: Gas Appliances and Safety Assessment Process Once you have completed all the modules in the course, you can assess your skills and knowledge with an optional assignment. Our expert trainers will assess your assignment and give you feedback afterwards. Show off Your New Skills with a Certification of Completion The learners have to complete the assessment of this course to achieve the CPD accredited certificate. Digital certificates can be ordered for only £10. The learner can purchase printed hard copies inside the UK for £29, and international students can purchase printed hard copies for £39. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? It is useful for learners who provide direct support as well as those who work and want to work in the following areas: Gas safety professionals Health and safety professionals Emergency responders Fire safety professionals Requirements The GAS SAFETY program does not require any prior knowledge; everyone may participate! This course is open to anyone interested in learning from anywhere in the world. Every student must be over the age of 16 and have a passion for learning and literacy. This 100% online course can be accessed from any internet-connected device, such as a computer, tablet, or smartphone. This GAS SAFETY course allows you to study at your speed and grow a quality skillset.