31581 Courses

Platelet-rich Plasma (PRP) treatments Nationally Recognised Qualification No previous experience or qualifications needed Open College Network Accreditation Level 4 (as required for minimally invasive procedures) Covers standards set by HEE Employed (salon) or Self-Employed opportunities Basic understanding of English language required OPEN TO ALL APPLICANTS

This fashion design 2-DAY course for beginners and intermediates is a group class aimed to support aspiring designers or designers in need of guidance in the realisation of a viable and realistic collection of bags and/or accessories.This course enables you to understand essential skills required to become a fashion bag designer ans well as guiding you through the steps necessary for designing, developing, prototyping and manufacturing your collection.   WHY THIS IS NOT THE USUAL ‘ACCESSORY DESIGN’ COURSEThis course is designed by a team of designers, prototype makers and handbag manufacturers.It is both a theoretical and practical course which will teach you what the industry requires from designers in order to be able to understand and correctly translate their ideas into finished products.This course is focused on giving you an overview on the complexity and extensiveness of the process that designing a collection of handbags requires.The course will assist you in understanding the prerequisites before and during the design of your styles. This knowledge will enable you to circumvent a lengthy, costly, and occasionally frustrating process when it comes time to prototype and manufacture your collection.   WHY WE CREATED A FASHION DESIGN COURSEAfter years of experience in designing and developing collections for our customers, we realised that there was a substantial lack of clear information available about what designing a collection of handbags and fashion accessories truly requires and how it is achieved.We created this course with the aim of helping the new generation of designers, as well as designers which are still struggling, in developing their ideas and empower them to clearly and correctly communicate them to whoever is going to prototype their collection.We essentially have created this tuition based on the needs and problems of our customers, hoping to promote and facilitate creatives in the realisation of their projects.   WHO IS THIS COURSE FOR?This course is designed for aspiring designers and professionals seeking expert advice from the industry. It caters to those in need of guidance to optimise their design process or understand the nuances of working as a fashion accessory designer.No previous experience is required.   WHAT WILL BE TAUGHT?The designing classes cover various topics, including: - Preliminary considerations before designingUnderstanding the concept and use of a moodboard - Overview of researching crucial aspects like target audience, market placement, pricing strategy, etc - Overview on leather and hardware and their impact on costImportance of construction and finishing optionsAnatomy of a handbag, including lining and reinforcements - Understanding how to structure a collection with a collection planPlanning a balanced collection of fashion accessories - Differences and purposes of illustrations vs technical drawingsSketching techniques, including drawing in perspective and technical drawings - Product development for a specific design - Understanding what technical information the prototype maker requires - Overview of the prototyping processOverview of manufacturing options and processes for your collection HOW WILL THE ABOVE BE TAUGHT:The class will take place in person at our London studio and the lesson will alternate between theoretical lessons and practical exercises.   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) – A glossary containing information about leather types and characteristics 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. HOW LONG IS THIS TUITION?:This tuition will require up to 14 hours to complete.We aim to provide customised and high-quality tuition services and by only allowing max 6 students at a time, we are able to focus on each person needs and interests. As every student has a different level of ability and previous experience, this course might lead some students to complete the core aspects of the lesson in a shorter time frame than others. Students who complete the course early will be welcome to stay and use the studio facilities to exercise on the topics of the lesson.

Online Asset Management Diploma course. Sit the IAM Diploma anywhere in the world. February to March 2024

Course Overview The comprehensive Online American Sign Language has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Online American Sign Language today, and learn from the very best the industry has to offer! This best selling Online American Sign Language has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Online American Sign Language is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Online American Sign Language is CPD-accredited, so you can be confident you're completing a quality training course which will boost your CV and enhance your career potential. The Online American Sign Language is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Online American Sign Language, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Online American Sign Language will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Online American Sign Language to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Online Asset Management Diploma course. Sit the IAM Diploma anywhere in the world

This session will provide a clear update for governors as to the latest developments in terms of risk, updates on statutory guidance and KCSIE requirements from the governance perspective, and an overview of what the safeguarding team should be working on.

Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints

https://linktr.ee/drawtoperform

A practical approach to Data Governance, giving you the information you need to design and implement successfully a Data Governance Framework that is right for your organisation.

Bayfield Training and the University of Cambridge Department of Land Economy This prestigious eight-week online Real Estate course is suitable for modellers new to Real Estate and experienced Real Estate Analysts looking to formalise their skill set. This course will equip you with skills to start building your own financial models and the certificate will give your employers and colleagues reassurance of your expertise. If you want to enhance your financial modelling skills over an extended period, the Real Estate Financial Modelling Certificate is the course for you. This online real estate course has been put together exclusively for the Real Estate Financial Modelling certificate, using state of the art digital resources such as animations, video-steps, digital whiteboard and video-interactions as well as the spreadsheets, text based resources and tutor contact you would expect from any of Bayfield Training’s classroom based courses.  Assessment is in the form of a guided model build exercise and written model appraisal. Participants benefit from an additional months access to the course platform after submission of the assessment. On this course you will: Become a competent model builder, building Real Estate Financial Models from scratch Learn tricks and concepts from financial modelling experts with decades of experience in practice and academia Learn how to use Real Estate Financial Models to make informed investment decisions Learn at a consistent pace over 8 weeks allowing you to take the time to fully grasp this important skill This course is suitable for: Chartered Surveyors Asset Managers Financial Controllers Financial Analysts Investment Managers Property Managers Real Estate Students/Recent Graduates Course Outline: Module 1 - Economic Context Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Introduction to Real Estate Asset Modelling and how it relates to and is distinct from Econometric Models. Why Real Estate Asset Modelling is important Understanding the occupier, asset and development markets and the relevant modelling approaches for each Real Estate Sub-Sector Key Performance Indicators Introduction to conventional valuations and financial mathematics Understanding and minimising errors in Financial Models Module 2 - Cash Flow Fundamentals Constructing a financial model from first principles. Understanding all the components of a basic cash flow model Understand why Corporate Finance Models and Real Estate Models are different Financial Model Design Making the link between valuations, income mathematics and discounted cash flows Internal Rate of Return, Net Present Value,Worth and other metrics Features and techniques to aid fast model building Module 3 - Developing the Cash Flow Adapting financial models for different periodicities and building rent functions for different rent behaviour. Understanding how leases vary with respect to rent over time: Rent Reviews, Break Clauses, Rent Free Periods, Lease Expiries etc. Developing the concept of a Rent Function in Excel Logic mathematics and Logic functions Projecting rent to adapt to different lease contracts and growth patterns Alternative solutions to Logic functions Comparative analysis of lease structures in different jurisdictions and adapting financial models Module 4 - Real Estate Data Understanding the different sources of data, constructing basic time series models and recognising basic patterns. Key Property market indicators Characteristics and application of key input metrics for Real Estate Appraisals Understanding the eight components of Real Estate Price Dynamics Awareness of the different sources of data Reading and using general property market reports Constructing basic time series models and recognising basic patterns Module 5 - Development Appraisals Constructing a development appraisal from first principles and understanding development return metrics. Understanding the key components of a development project Understanding the difference between development and investment appraisals Residual Appraisals and Profit Calculations Cost orientated cash flows and phased sales Cumulative construction cost patterns: incidental, fixed, loaded and S-curve Development return metrics and Modified IRRs Module 6 - Multi-let Cash Flows Constructing an advanced multi-let cash flow model and learn different techniques to build flexible rent functions. Multi-let and portfolio model design principles Building complex date functions and date series The three multi-let rent projection techniques Perpendicular Rent Functions Incorporate advanced rent adjustments into the Rent Function Incorporate sector and period varying rental growth rates Simplifying OPEX and CAPEX projections Discounting techniques on complex and volatile cash flows Module 7 - Project Finance Constructing a flexible Real Estate Debt Finance model. Revision of the Mathematics of amortisation and debt finance Basic senior debt models and geared net cash flow LTV, IRR and Interest Rate Dynamics Flexible term, repayment options and deferred interest Loan covenant tests Understanding different tranches of debt Understanding how complex debt structures impact the returns to different parties Module 8 - Model Interpretation and Risk Analysis Learn how to read, analyse and report on real estate financial models. Understand how to read models and develop an investment narrative Visualise model outputs using graph functions, conditional formatting, dynamic symbols and dashboards Learn how to use built-in Sensitivity, Scenario Analysis tools and third-party add-ins Learn how to construct varied project scenarios in a systematic way Introduction to Monte Carlo Analysis and VBA Optimising sale dates and other parameters Create well written, attractive and persuasive reports Included in the Course Bayfield Training and University of Cambridge Accredited Certificate & LinkedIn Proficiency Badge 64 CPD Hours 1 Month Post-Course Access to the Digital Platform - 12 Months Post-Course Access to the Platform can be purchased for an additional fee Course Files Q&A Webinars and Guest Speaker Webinars Further Learning Resources (Reading, Files and Videos) Post Course Support - Two Months of Questions & Answers 2024 Cohort Dates Include: 3rd June to 29th July 5th August to 25th September 2024 30th September to 25th November For more information, please contact Sam on the Bayfield Training Sales team: E - s.musgrave@bayfieldtraining.com T - 01223 517851 W - www.bayfieldtraining.com