1578 A2 courses in Cardiff delivered Online

This GRI, IEMA & CPD course is geared for busy professionals who want to understand how to proceed and create a 1st Class GRI Standards Sustainability Report and have a plan for immediate sustainability action without wasting time.

Has the Computer System Validation Engineer left and you’ve been handed their responsibilities? Do the thoughts of your next audit fill you with dread? CSV can be frustrating but this program will show you how to manage electronic data in a regulated manufacturing/laboratory/clinical environment using the GAMP framework and ensure compliance with FDA’s 21 CFR Part 11, EU Annex 11 or other regulatory guidelines.

This is unlike any other leadership programme you’ve ever taken part in – it is all about learning the practicalities of showing up as an emotionally intelligent leader who is trusted, engages effectively, connects well, makes people feel they matter and creates a psychologically safe environment where people can bring their very best contributions to the team and the organisation.

Outline: This course is intended to provide an overview of issues relating to acoustic performance, and to identify key British, European and CWCT standards and guides relevant to acoustic performance. The course has a significant engineering and physics content. Target Audience: This course is intended for those with an interest in understanding and specifying acoustic performance of the building envelope. Leaning objectives: Understand the fundamentals physics of sound waves and human hearing, Appreciate noise transmission, Appreciate acoustic regulations, Understand acoustic testing, Understand the acoustic performance of glazing. Appreciate envelope performance. Assessment: Assessment will be via a series of multiple-choice questions following the course, The assessment is timed and must be passed in order to receive a CPD certificate for the course, If the assessment is failed, one re-take will be permitted. Prerequisites: None. Availability: 03 – 30 June 2024 Lecture time: 1 day. Price Member price Non-Member price £180 + VAT £360 + VAT

Duration 1 Days 6 CPD hours This course is intended for Looking for a way to extend your business operations? Look no further than the App in a Day workshop! In this one day course you will learn to build a custom, secure business application that you can share across your organise and will run across multiple platforms including tablets and mobile devices. Power Platform is a secure and scalable platform for building your own applications. In this course, you will learn how to build an application from the ground up by building the required UX, Backend, and frontend. All this without writing any code. Overview Some of the applications of the Power Platform you will learn to build will allow you to potentially: A) Share information with trusted colleagues and associates B) Monitor and manage your business operations C) Monitor and manage your customers D) Share business news on social media E) Share business photos and footage This course will teach you how to build your own application that is completely secure and private. Power Apps Canvas App Connect to data sources and filter results based on specified criteria Work with screens and navigation Use controls, properties, formulas, and actions to customize the user experience Display the logged in user?s name Configure app settings Save and share an app Run an app on a mobile device Microsoft Dataverse Create and customize a custom table Use the Form control Save data into the Microsoft Dataverse using the Form control Microsoft Dataverse Create a standalone Model-driven app. Customize forms for the Model-driven app Use a Business Process Flow to guide users through a process Microsoft Dataverse Create a flow that is triggered when a new Microsoft Dataverse row is created Automate sending approval requests Customize the approval based on the Microsoft Dataverse row Use the Approval centre

This online course is suitable for those who are familiar with the accounts rules, such as COFA’s and legal cashiers, but wish to expand their technical knowledge on the day to day application of them.  This course will reflect on the 2019 rule changes and where firms might have gone wrong in implementing these. It will also consider what ‘good’ systems, policies and procedures look like as well as providing you with tools to evaluate if your interest policy is ‘fair and reasonable’ and practical scenarios to identify banking facilities. Target Audience This online course is suitable for COFAs, those supporting the COFA, legal cashiers and for those that wish to expand their technical knowledge on the day to day application of the SRA accounts rules. Resources An information pack including the course slides will be provided to all delegates, which may be useful for ongoing reference. Please note a recording of the course will not be made available. Speaker Sarah Charlton, Consultant, DG Legal Sarah has a BSc (Hons) in Applied Accounting and is a Fellow member of the Association of Chartered and Certified Accountants. Her career spans over 35 years working within the legal sector, fulfilling roles from COFA through to CEO. During her career she has worked with a number of legal regulators, professional bodies and government organisations. Sarah has been a member of the Institute of Legal Finance and Management throughout her career, qualifying as a Fellow member in 2005. Sarah also served as chairperson between 2010-2012 and continues to serve as an Executive Council Member.

Course Overview Get the essential IT skills you want and the knowledge that leading IT companies need when you take this course for CompTIA A+ (220-1001). CompTIA A+ training is dedicated to preparing IT students for troubleshooting and resolving problems in a broad range of disciplines and domains. You can learn how to pass the A+ exam and specialise in a wider variety of issues that will boost your earning potential to new levels of opportunity as an IT technician.  This CompTIA A+ tutorial focuses on 220-1001 principles with high-end support for most personal and business equipment. You will be taught how to resolve issues with mobile devices, networking technology, hardware, virtualisation, cloud computing and connectivity problems. This learning package is an absolute must for the budding IT technician who wants to gain the most sought-after skills. Enrol now for an assured future in IT technology.  This best selling CompTIA A+ (220-1001) has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth CompTIA A+ (220-1001) is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The CompTIA A+ (220-1001) is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The CompTIA A+ (220-1001) 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 CompTIA A+ (220-1001), 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 CompTIA A+ (220-1001) 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 CompTIA A+ (220-1001) 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.

Course Overview Gain the technical skills you need to excel in the computing industry and gain the knowledge employers want when you take this course for CompTIA A+ (220-1002). CompTIA A+ training is dedicated to preparing IT students for troubleshooting and resolving problems in a broad range of disciplines and domains. You can learn how to pass the A+ exam and specialise in a wider variety of issues that will boost your earning potential to new levels of opportunity as an IT technician.  This CompTIA A+ tutorial focuses on 220-1002 principles with practical awareness given to system and operational recoveries. You will be given expert guidance for installing and configuring operating systems, expanding security, troubleshooting software, and maintaining operational procedures. This learning package is an absolute must for the budding IT technician who wants to gain the most sought-after skills. Enrol now for an assured future in IT technology. This best selling CompTIA A+ (220-1002) has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth CompTIA A+ (220-1002) is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The CompTIA A+ (220-1002) is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The CompTIA A+ (220-1002) 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 CompTIA A+ (220-1002), 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 CompTIA A+ (220-1002) 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 CompTIA A+ (220-1002) 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.

A crash course in understanding a company’s report and accounts, this programme is ideal for anyone wanting to get more comfortable with the art of dissecting balance sheets and accounts more generally.

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