777 Courses in London

Lean Six Sigma Black Belt Certification Program: In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Lean Six Sigma Black Belt Certification Program This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

Management of Value (MoV®) Practitioner This interactive MoV® Practitioner course provides a modular and case-study-driven approach to learning Management of Value (MoV). The core knowledge is structured and comprehensive; and well-rounded modules cover the methodology and various techniques. A case study is used to help appreciate the relevance of MoV in its practical application. What you will Learn The MoV Practitioner Course prepares you for the MoV Practitioner exam. Individuals certified at the MoV Practitioner level will be able to: Apply Management of Value (MoV) principles, processes and techniques, and advocate the benefits of this application appropriately to the senior Management. Develop a plan of MoV activities for the whole lifecycle of small and large projects and programs. Plan an MoV study, tailoring it to particular projects or programs and developing practical study or workshop handbooks as required. Understand and articulate value in relation to organizational objectives. Prioritize value drivers using function analysis and use these to demonstrate how value might be improved. Quantify monetary and non-monetary value using the Value Index, Value Metrics and the Value for Money ratio. Describe and comment on the application of various techniques relevant to MoV. Monitor improvements in value realized throughout a project lifecycle and capture learning which can be transferred to future projects. Offer suggestions and guidance about embedding MoV into an organization, including policy issues, undertake a health check, assess maturity and competence, and provide guidance on typical roles and responsibilities. Understand and articulate the use of MoV within other Best Management Practice methods and its contributions to them Benefits of Taking This Course Upon successful completion of this course, you will be able to: Organise and contribute constructively to a Management of Value (MoV) Study Demonstrate a knowledge of MoV principles, processes, approach, and environment Analyse a company, programme or project to establish its organisational value includes identification and weighting of Value Drivers Pass the AXELOS Practitioner Examination Function Analysis Customer FAST Diagram Value Tree Development Weighting Attributes Paired Comparisons Developing a Value Profile Developing a Value Index Value for Money Ratio Stimulating Innovation Value Engineering Option Evaluation and Selection Evaluation Matrix Value and Value for Money Timing and Planning Teams and Stakeholders MoV in the Organization Integrating with Best Management Practice Relationship between Process and Approach

Lean Six Sigma Green Belt Certification Program This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps

Scrum Master and Product Owner Workshop This workshop builds on the specific roles and responsibilities of the Product Owner and Scrum Master in a Scrum environment, and how they need to work together as part of the Scrum methodology. During these sessions, you will explore who does what before, during, and after the Scrum Sprint cycles, as well as how to make the process work best in your specific Agile environment. You will come away from this workshop with a much deeper understanding of the roles and responsibilities so that individual performance improves on the job. Improved target results include providing focused leadership, making effective decisions, guiding Agile teams, and delivering business value. Foundation Concepts Agile History, Values, and Mindset Introduction to Scrum Scrum Events Scrum Artifacts Scrum Roles and Responsibilities Scrum Roles Product Owner Responsibilities Scrum Master Responsibilities The Scrum Team Responsibilities Cross-functional Teams Product Ownership Product Ownership Vision Understand Your Customers and Market Stakeholder Management and Engagement Product Backlog What is a User Story? Epics and User Stories Acceptance Criteria Preparing User Stories for a Sprint Definition of Ready (DoR) and Definition of Done (DoD) User Story Estimation Using Planning Poker Backlog Grooming Roadmaps, Story Maps, Impact Mapping Product Backlog Prioritization, MoSCoW, Kano Analysis Technical Debt The Sprint Team Capacity and Velocity Planning Sprint Planning Meeting and Sprint Plan The Sprint: Learning to Become Self-managing, Self-organizing, Self-improving Sprint Review Meeting Retrospectives Project Progress and Completion The Daily Scrum The Task Board and The Burndown Chart Information Radiators Closing a Scrum Project Summary and Next Steps Review of course goals, objectives, and content

Scrum Master and Product Owner Workshop This workshop builds on the specific roles and responsibilities of the Product Owner and Scrum Master in a Scrum environment, and how they need to work together as part of the Scrum methodology. During these sessions, you will explore who does what before, during, and after the Scrum Sprint cycles, as well as how to make the process work best in your specific Agile environment. You will come away from this workshop with a much deeper understanding of the roles and responsibilities so that individual performance improves on the job. Improved target results include providing focused leadership, making effective decisions, guiding Agile teams, and delivering business value. Foundation Concepts Agile History, Values, and Mindset Introduction to Scrum Scrum Events Scrum Artifacts Scrum Roles and Responsibilities Scrum Roles Product Owner Responsibilities Scrum Master Responsibilities The Scrum Team Responsibilities Cross-functional Teams Product Ownership Product Ownership Vision Understand Your Customers and Market Stakeholder Management and Engagement Product Backlog What is a User Story? Epics and User Stories Acceptance Criteria Preparing User Stories for a Sprint Definition of Ready (DoR) and Definition of Done (DoD) User Story Estimation Using Planning Poker Backlog Grooming Roadmaps, Story Maps, Impact Mapping Product Backlog Prioritization, MoSCoW, Kano Analysis Technical Debt The Sprint Team Capacity and Velocity Planning Sprint Planning Meeting and Sprint Plan The Sprint: Learning to Become Self-managing, Self-organizing, Self-improving Sprint Review Meeting Retrospectives Project Progress and Completion The Daily Scrum The Task Board and The Burndown Chart Information Radiators Closing a Scrum Project Summary and Next Steps Review of course goals, objectives, and content

Python Data Analytics boot camp. 12 1 day lessons, learn Python Basics through to machine learning and front-ends. With practical project to give you full confidence and credibility.

COURSE DESCRIPTION: BAG AND ACCESSORY DESIGN MASTERCLASSThis course is tailored for beginners and intermediate-level participants, offering a distinctive group class format designed to assist aspiring designers or those seeking guidance in bringing to life a practical and viable collection of bags and/or accessories.Through this course, you will gain a comprehensive grasp of fundamental skills in accessory design and what it requires to become a bag designer. It empowers you to transform your creative concepts into tangible realities by providing instruction on the essential steps required for prototyping and manufacturing your collection.In addition to acquiring the skills to design bags and accessories accurately and understanding what information to convey to a prototype maker, this course will guide you through the process of creating patterns and constructing a three-dimensional mock-up for one your design. WHY THIS COURSE DIFFERS FROM THE TYPICAL ‘ACCESSORY DESIGN’ PROGRAMMEThis course has been meticulously designed by a team comprising designers, prototype makers, and handbag manufacturers. It offers a blend of theoretical and practical elements, providing you with the knowledge required by the industry to comprehend and accurately translate your ideas into finished products.Unlike courses that solely focus on creating aesthetically pleasing drawings, this programme emphasizes providing a comprehensive understanding of the intricate and extensive processes involved in designing a collection of handbags. It aims to equip you with the insights necessary to navigate the complexities, ensuring you are well-prepared before and during the design phase. By doing so, the course aims to save you time, expense, and potential frustration when it comes to prototyping and manufacturing your collection.This intensive course will equip you with the skills to potentially save thousands of pounds on product development for your designs and the assistance needed to make your project viable for construction.WHY WE DEVELOPED A FASHION DESIGN COURSEAfter years of designing and developing collections for our clients, we noticed a significant lack of clear information on what it truly takes to become a designer of handbags and fashion accessories.This course is crafted to assist both emerging and struggling designers in developing and articulating their ideas effectively for the prototyping phase. It addresses the needs and challenges faced by our customers, aiming to support and streamline the creative process for project realization. WHO IS THIS COURSE FOR?This course is tailored for aspiring designers seeking professional advice from industry experts, individuals at the beginning of their design careers who require guidance to enhance their design process, or those simply looking to refine their drawing techniques for personal enjoyment.No previous experience is necessary. WHAT WILL BE TAUGHT?Below is a list of topics covered during the classes:Understanding the role of a bag designerBefore designing: understanding and analsing crucial external aspects that will influence your business successAbout your business idea and profile: understanding the target audience, market placement, pricing strategy and moreUnderstanding what a moodboard is and how to use itUnderstanding the differences and purposes of illustrations vs technical drawingsUnderstanding the importance of construction and its impact on your designOverview of the anatomy of a handbag, lining and reinforcementsUnderstanding the structure of a collection: the use of a collection planLearning how to plan a balanced collection of fashion accessoriesUnderstanding finishing options for your designsUnderstanding hardware and its impact on the cost price of your collectionOverview of leather and vegan leatherIdentifying the right materials for your collectionLearning how to draw three-dimensional bagsSketching technical drawingsGoing through the product development of three designsDeveloping patterns and realising 1 three-dimensional mock-up of a bagProviding technical information about your collection to the prototype makerUnderstanding the prototyping processManufacturing your collection: how it works and what the options are. HOW WILL THE CLASS BE TAUGHT?The class will take place in person at our London studio, and the lessons will alternate between theoretical instruction and practical exercises.Some homework will be assigned to students between lessons. HOW LONG IS THIS TUITION?:This course spans an entire week, running from Monday to Friday, 10 am to 5 pm, with a 30-minute lunch break. INCLUDED IN THE COURSE:You will also receive access to a collection of handouts providing relevant information, useful resources and support in continuing your designing process independently.The handouts will contain:– A glossary containing essential key words related to the topic of the lesson– An illustrated glossary containing information about type of bags and bags’ features– An illustrated guide on common hardware used in bags and accessories– Documents about leather types, finishings, tanning processes– Information about perspective and guides to be used as reference to develop your drawings– A list of recommended suppliers for both leather and fittings (physically in London and online) WHAT ARE THE ENTRY REQUIREMENTS?You should be able to use measurements and understand verbal and written English instructions. ARE THERE ANY OTHER COSTS? IS THERE ANYTHING I NEED TO BRING?Materials to exercise with are included.Feel free to bring a notepad, if you would like to take some notes, we will provide the rest.

Get ready to learn how to make your own tote bag. A fun and easy project for beginners. Book your spot today Learn to make a tote bag - a reusable & eco-friendly bag Join us for a fun and interactive in-person event where you can learn to make your own stylish tote bag! Whether you're a beginner or have some sewing experience, this event is perfect for anyone looking to unleash their creativity and learn a new skill. During this event, our experienced instructors will guide you step-by-step through the process of creating a beautiful tote bag. You'll learn essential sewing techniques, such as measuring, cutting, stitching, and finishing. Relax and enjoy the process of creating something beautiful with your own hands You will also get: - Fabric to make your bag and all other necessary materials and equipment - Expert guidance and tips from your workshop host - Email support for the next 3 months What you need to bring: - Your own sewing machine with its power cable Please make sure the machine works and has been recently serviced. Please bring along the manual and all the accessories that came with it including spare bobbins and the bobbin case if applicable. Don't worry if you don't have a sewing machine, as we have machines you can borrow. - Threads and a sewing kit (you can buy one from us if you want) - Notepad and pen The workshop is limited to 6 people per session. If you want a private group session, please message us with your booking. Note: You need to know how to thread and use your machine. We offer an introduction to sewing machine workshop too, if you wanted to get to grips with your machine. You will receive a confirmation email after booking from our website. Please provide your phone number so we can message you in case of emergencies. Whether you want to make a personalized gift for a loved one or simply want to expand your crafting skills, this event is a fantastic opportunity to have fun and meet like-minded individuals. So, grab your friends and join us for a creative and enjoyable day of sewing! Spaces are limited, so reserve your spot now and get ready to embark on a sewing adventure! Note: If less than 3 participants have booked on this workshop, we will reschedule the workshop for a more convenient date or a different location. Priority will be given to existing paid participants first who have the option to confirm or cancel within 7 days. Frequently asked questions What is the age range for the workshop? This workshop is suitable for adults and kids. What should I bring with me to the workshop? Bring your own sewing machine with it’s power cable if you are not borrowing from us. The manual and all the accessories the machine came with Bobbin, bobbin case if applicable Threads and a full sewing kit. You can purchase one from us Notepad and pen How many participants will attend this workshop? There will be a maximum of 6 participants at this workshop. Small groups work best as everyone gets a chance to learn and ask questions. Please note: The workshop would be rescheduled if there are less than 3 participants booked for the date. Is the venue wheelchair accessible? Unfortunately, this venue isn't wheelchair accessible. There are 2 short sets of stairs to get to the room. Please don't hesitate to reach out if you want further info or any specific needs or concerns. I will do my best to accommodate you. What is the cancellation and refund policy for the workshop series? Cancellation notice period: Refunds: 28 days or more before the course start date - Full refund minus the fees15-27 days before the course start date - 50% refund minus the fees 14 days or less before the course start date We will try & fill the space. If we fill it, full refund minus fees.