11213 Art courses

Woodland wildfood and foraging walk, near Linlithgow

Wild food and foraging identification workshop, near Edinburgh.

Floristry: Floristry Online Training Would you like to go on an enlightening adventure in floristry? Our complete Floristry course is available for you to hone your abilities in the complexities of this fascinating Floristry topic. This Floristry programme will provide you with essential insights into Floristry ideas and practises. The major goal of this Floristry course is to provide learners with a solid grasp of Floristry techniques. You will be able to apply them in a variety of situations after completing this Floristry course. Marketing, customer service, floral design, and flower arrangements are lesson parts of the Floristry course. You will learn how to produce funeral flowers, wreaths, and bouquets in this Floristry course. Start our Floristry course to dive into the fascinating world of Floristry and discover the unlimited job prospects! Learning Outcome of Floristry: Floristry Course After completing this Floristry: Floristry course you will learn about: Floristry introduction, careers in Floristry, roles and responsibilities as a Floristry artist. The Floristry course describes how to start your own business. Marketing and Getting Customers are also part of the Floristry course. You will know about flowers, arrangements, storing and maintaining of flowers as a Floristry specialist. The floristry course teaches how to process, design and bouquet-making ideas. This Floristry course is helpful for making funeral flowers and wreaths. Main Course: Floristry Training Free Courses are including with this Floristry: Floristry Course Along with The Floristry: Floristry Course, We Offer a free Garden Design & Landscaping course Along with The Floristry: Floristry Course, We Offer a free Level 2 Certificate in Understanding Climate Change and Environmental Awareness Course Special Offers of this Floristry: Floristry Training Science Course This Floristry: Floristry Course includes a FREE PDF Certificate. Lifetime access to this Floristry: Floristry Course Instant access to this Floristry: Floristry Course Get FREE Tutor Support to this Floristry: Floristry Course Floristry: Floristry Online Training This floral design curriculum will give you important knowledge about floral concepts and techniques. The primary goal of this floral design course is to provide students with a solid understanding of floral techniques. After completing this Floristry: Floristry course, you will be able to apply them in a variety of contexts. The Floristry: Marketing, customer service, floral design, and flower arrangements are all covered in this course. You will learn how to make wreaths, bouquets, and funeral flowers in this floral design course. Who is this course for? Floristry: Floristry Online Training The Floristry: Floristry course is intended for a diverse group of people who want to improve their Floristry knowledge and abilities. Requirements Floristry: Floristry Online Training To enrol in this Floristry: Floristry Course, students Need: To join in our Floristry: Floristry Course, you must have a strong command of the English language. To successfully complete our Floristry: Floristry Course, you must be vivacious and self driven. To complete our Floristry: Floristry Course, you must have a basic understanding of computers. A minimum age of 15 is required to enrol in this Floristry: Floristry Course. Career path Floristry Online Training Completing the Floristry: Floristry course can lead to fascinating possibilities in a variety of Floristry-related industries.

Our Cosmeti-Craft Workshops are a great way of learning a new skill and having some fun making your own cosmetics. Children from age 5 upwards can have fun learning about colours and smells while older children experience a more detailed tutorial on the uses and effects of cosmetic ingredients.

Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00

Agile Sprint Planning: On-Demand The goal of the course is to provide you and your team with the ability to develop effective and realistic Sprint plans. Without effective Sprint Plans, iterations are set up for failure. But Sprint Planning cannot be improved on its own, in isolation. The Scrum processes are highly intertwined and influence each other. The surrounding artifacts, events, and roles must be examined closely, and enhanced, in order to improve Sprint Planning. This course will remind you of the theory to reinforce the principles, but will concentrate on next-level skills, so that you and the team are able to create realistic and usable Sprint Plans. This course is not introductory. You are already aware of the Scrum framework and have been implementing Scrum on your projects. Now is the time to improve efficiency and effectiveness, to facilitate successful Agile projects. What you will Learn You'll learn how to: Identify and correlate the key symptoms and root causes of ineffective sprint plans Improve key Product Backlog elements Evaluate Agile roles in sprint planning Appraise key product practices Enhance project transparency The Product Backlog User stories Acceptance Criteria Backlog Refinement Supporting Roles Product Owner (the Backlog) Development Team Stakeholders and SMEs Supporting Product Practices Roadmaps and release plans and story maps Definition of Done Technical Debt Transparency Daily Scrums Information radiators Retrospectives Sprint Planning Capacity and Velocity Sprint Planning Meetings The Sprint Backlog Summary What did we learn, and how can we implement this in our work environments?

Executive AI Coaching: Boost Your Leadership with Generative AI Unlock the power of AI for your business with personalised executive coaching. Paul Addicott-Evans, founder of AECS, offers bespoke 1-on-1 sessions to transform leaders into AI champions. Enhance productivity, drive innovation, and stay ahead in the AI revolution. 20+ years of tech and business expertise. Tailored for C-suite, senior leaders, and entrepreneurs. Elevate your leadership—master generative AI today!

ITIL® 4 Specialist: Create, Deliver and Support: On-Demand The ITIL® 4 Specialist: Create, Deliver, and Support module is part of the Managing Professional stream for ITIL® 4. Candidates need to pass the related certification exam for working towards the Managing Professional (MP) designation. This course is based on the ITIL® 4 Specialist: Create, Deliver, and Support exam specifications from AXELOS. With the help of ITIL® 4 concepts and terminology, exercises, and examples included in the course, candidates acquire the relevant knowledge required to pass the certification exam. What You Will Learn The learning objectives of the course are based on the following learning outcomes of the ITIL® 4 Specialist: Create, Deliver, and Support exam specification: Understand how to plan and build a service value stream to create, deliver, and support services Know how relevant ITIL® practices contribute to the creation, delivery, and support across the SVS and value streams Know how to create, deliver, and support services Organization and Culture Organizational Structures Team Culture Continuous Improvement Collaborative Culture Customer-Oriented Mindset Positive Communication Effective Teams Capabilities, Roles, and Competencies Workforce Planning Employee Satisfaction Management Results-Based Measuring and Reporting Information Technology to Create, Deliver, and Support Service Integration and Data Sharing Reporting and Advanced Analytics Collaboration and Workflow Robotic Process Automation Artificial Intelligence and Machine Learning CI / CD Information Model Value Stream Anatomy of a Value Stream Designing a Value Stream Value Stream Mapping Value Stream to Create, Deliver, and Support Services Value Stream for Creation of a New Service Value Stream for User Support Value Stream Model for Restoration of a Live Service Prioritize and Manage Work Managing Queues and Backlogs Shift-Left Approach Prioritizing Work Commercial and Sourcing Considerations Build or Buy Sourcing Models Service Integration and Management

Overview This comprehensive course on Waxing and Hair Removal will deepen your understanding on this topic.After successful completion of this course you can acquire the required skills in this sector. This Waxing and Hair Removal 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? At the end of the course there will be an online written test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Waxing and Hair Removal. It is available to all students, of all academic backgrounds. Requirements Our Waxing and Hair Removal is fully compatible with PC's, Mac's, Laptop,Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 2 sections • 9 lectures • 02:08:00 total length •Module 01: Hair Removal: 00:23:00 •Module 02: Types of Hair Removal: 00:21:00 •Module 03: Introduction to Waxing: 00:24:00 •Module 04: Threading: 00:17:00 •Module 05: Client Consultation and Dress Code: 00:10:00 •Module 06: Infection Control, Hygiene and Salon Safety: 00:16:00 •Module 07: Operational Procedures: 00:09:00 •Module 08: Waxing Before and Aftercare: 00:08:00 •Assignment - Waxing and Hair Removal: 00:00:00

Overview Learn how to provide your clients with excellent waxing services by enrolling in our professionally designed Waxing and Hair Removal - Level 2course.This course offers a wide array of training modules to teach you professional waxing methods and techniques to achieve the best result.This course educates you on the right way to perform each procedure, covering key strategies of waxing and threading. After course completion, you will have a solid understanding of various hair types, the structure and function of hair, and how to apply different hair removal techniques. You will have the skills to control infections and advise clients on before and aftercare. Turn your passion into a profitable business by enrolling today! How will I get my certificate? At the end of the course there will be an online MCQ test which you can take either during or after the course. After successfully completing the test you will be able to order your certificate, these are included in the price. Who is this course for? There is no experience or previous qualifications required for enrolment on this Waxing and Hair Removal - Level 2. It is available to all students, of all academic backgrounds. Requirements Our Waxing and Hair Removal - Level 2 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 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 1 sections • 8 lectures • 02:13:00 total length •Module 01: Hair Removal: 00:23:00 •Module 02: Types of Hair Removal: 00:21:00 •Module 03: Introduction to Waxing: 00:24:00 •Module 04: Threading: 00:22:00 •Module 05: Client Consultation and Dress Code: 00:10:00 •Module 06: Infection Control, Hygiene and Salon Safety: 00:16:00 •Module 07: Operational Procedures: 00:09:00 •Module 08: Waxing Before and After care: 00:08:00