4728 Courses in Cardiff delivered Live Online

Peer Support as an anti-bullying strategy for schools is now routinely recommended by the DCSF and Ofsted. Many schools in the UK have individual schemes which show good practice within their own setting. However, it is rare to find co-ordination of multiple schemes within a Local Authority , or part of a Local Authority, or even within families or clusters of schools. Course Category Behaviour and Relationships Inclusion Peer Support Meeting emotional needs Description Peer Support as an anti-bullying strategy for schools is now routinely recommended by the DCSF and Ofsted. Many schools in the UK have individual schemes which show good practice within their own setting. However, it is rare to find co-ordination of multiple schemes within a Local Authority , or part of a Local Authority, or even within families or clusters of schools. Coordination of schemes provides opportunities for networking, sharing ideas, and mutual support amongst both adults and young peer supporters creates excellent practice. This approach also leads to: Stability and consistency of training A wealth of back up materials for adults and young people Consistent telephone and email support Opportunities for professional development for teachers, Teaching assistants and Learning Mentors Opportunity for national accreditation from MBF Testimonials The Mentoring and Befriending Foundation described this scheme as “a benchmark for Local Authorities Learning Objectives To discover how a centrally led Peer Support scheme enhances and promotes anti-bullying work across a number of schools. To take away from the day the means and the inspiration to set up a local scheme. To deepen insight into impact of strategic approach to peer support To learn about a real way of reducing bullying across a Local Authority Who Is It For ? Suitable for Anti-Bullying Leads Behaviour Support staff CAHMS TAHMS Learning Support and Guidance Staff Childrens Services Support Services Educational Psychologists Course Content The training day will be led by Inclusive Solutions, and a representative from a Local Authority who has successfully managed such a scheme for 10 years. This will be an interactive day with lots of opportunity for questions and exploration. What the day includes: How this work fits with an Inclusive Local Authority Key aspects and issues in running multiple Peer Support schemes from the centre Graphics workshop The 3 legged stool of Peer Support: Selection, Training and Supervision A chance to view and purchase some of the nationally accredited materials successfully used and developed over many years. f you liked this course you may well like: PEER COUNSELLING AS AN ANTI-BULLYING STRATEGY

About this Training Course This course will begin with a presentation of topics to familiarize Process and Instrumentation Engineers with procedures and practices involved in the choice of sensors related to the measurement of temperature, pressure, level and flow in relation to single-phase flows. It will provide guidance on the optimum commercially available devices through a detailed comparison of their relative merits. At the heart of this course is sensor calibration which is a crucial element for these topics. The course will also examine the various types of flow control valve, including Globe, Slide, Needle, Eccentric plug and Ball valves and their characteristics in industrial application, while focusing on the problems of Cavitation and Flashing and methods to minimise or eradicate these issues. With the use of examples, industry case studies and a wide range of videos, this course will also cover all aspects of proportional (P), derivative (D) and integral (I) control. In particular, it will address the advantages and disadvantages of PI and PID control. It will also describe Cascade, Feed forward, Split Range, Override and Ratio Control techniques. Training Objectives By attending this course, participants will acquire the following knowledge and skills: Apply an in-depth knowledge to the measurement of temperature, pressure, level and flow as well as to the fluid mechanics of pipe flows Assess the advantages and disadvantages of the major flowmeter types including the differential pressure, rotary positive displacement, rotary-inferential, electromagnetic, ultrasonic and Coriolis mass flowmeters to determine the optimum choice for a given application Make a considered judgement of the choice of fluid level measurement devices Understand the various types of flow calibration, metering systems and provers Carry out tank measurement and tank calibration methods and to calculate net sellable quantities Discuss valve characteristics & trim selection and illustrate the process of control valve sizing Explain the terms Open and Closed loop Define Process Variable, Measured Variable, Set Point and Error Define Direct and Reverse controller actions Explain the terms Process Lag, Measurement Lag, Transmission Lag, and Response Lag and their effect on controllability Explain ON/ OFF Control and the inherent disadvantages Explain Proportional Control, Offset, Gain and Proportional Band and the advantages and disadvantages of Proportional only control Explain the fundamentals and operation principles of Integral (I) Action and the disadvantages of proportional plus integral control Explain the fundamentals and operation principles of Derivative (D) Action in conjunction with P action Describe the operating principles of a PID Controller and explain the applications and advantages of PID control Describe Cascade, Forward, Split Range and Ratio Control operation principles Target Audience This course will benefit instrumentation, inspection, control, custody metering and process engineers and other technical staff. It is also suitable for piping engineers, pipelines engineers, mechanical engineers, operations engineers, maintenance engineers, plant/field supervisors and foremen and loss control coordinators. Trainer Your expert course leader is a Senior Mechanical & Instrumentation Engineer (UK, B. Sc., M.Eng., Ph D) with over 45 years of industrial experience in Process Control & Instrumentation, Pumps, Compressors, Turbines and Control Valve Technology. He is currently a Senior Independent Consultant to various petrochemical industries in the UK, USA, Oman, Kuwait and KSA where he provides consultancy services on both the application and operational constraints of process equipment in the oil & gas industries. During his early career, he held key positions in Rolls Royce (UK) where he was involved in the design of turbine blading for jet engines, subject to pre-specified distributions of pressure. During this period and since, he has also been closely involved in various aspects of Turbomachinery, Thermodynamics and Fluid Mechanics where he has become a recognised authority in these areas. Later, he joined the academic staff of University of Liverpool in the UK as a Professor in Mechanical Engineering Courses. A substantial part of his work has been concerned with detailed aspects of Flowmetering - both of single & multiphase flows. He has supervised doctoral research students in this area in collaboration with various European flowmeter manufacturers. He joined Haward Technology Middle East in 2002 and was later appointed as European Manager (a post which has since lapsed) and has delivered over 150 training courses in Flowmeasurement (single- and multi-phase), Control, Heat Exchangers, Pumps, Turbines, Compressors, Valve and Valve Selection as well as other topics throughout the UK, USA, Oman and Kuwait. During the last two years, he has delivered courses with other training companies operating in the Far and Middle East. He has published about 150 papers in various Engineering Journals and International Conferences and has contributed to textbooks on the topics listed above. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

The Mechanics of Mediumship. A beginners guide to everything you need to know. How to become a professional psychic medium. Able to give short, accurate, evidential messages. This course runs over 5 weeks and during our time together we will explore five easy to follow parts. 1: What mediumship is and the different types, including your role as a professional medium and the differences between working in the psychic modality and when you are connected to spirit. 2: Activating and building your power within, and the difference between meditation, and attunement both to the spirit world and using your psychic modality. 3: The six different senses available to you, which are your strongest and whether you are perceiving them objectively or subjectively. 4: What is and what is not evidence in mediumship, understanding the different types of evidence available and defining practical and emotional evidence. 5: Surrendering to spirit, building confidence to receive specific unique information, and understanding the reasons why you receive a no response. Guidance on making positive, strong, statements filling your sitter with confidence, building a truly extraordinary professional reading.

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

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

The course covers research design principles and all main quantitative evaluation methods: randomised experiments, instrumental variables, sharp and fuzzy regression discontinuity designs, regression methods, matching methods and longitudinal methods (before-after, difference-in-differences and synthetic controls).

Data dashboards provide key information to stakeholders so that they can make informed decisions. While there are plenty of software solutions for building these essential data products, there is much less guidance on how to design dashboards to meet the diverse needs of users.  This course is for anyone who is building or implementing dashboards, and wants to know more about design principles and best practice. You could be using business intelligence software (such as Power BI or Tableau), or implementing bespoke solutions.  The course will give your team the ability to evaluate user needs and levels of understanding, make informed decisions about chart selections, and make effective use of interactivity dynamic data.  We’ll work with you before the course to ensure that we understand your organisation and what you’re hoping to achieve.  Sample learning content  Session 1: Data with a purpose Understanding the different types of dashboard. Information overload and other common dashboard pitfalls. Assessing user needs and levels of data fluency. Session 2: Planning a dashboard Assessing diverse user needs and levels of data fluency. Taking a User Experience (UX) approach to design and navigation. Applying an interative and collaborative approach to onboarding. Session 3: Graphs, charts and dials  Understanding how graphical perception informs chart choices. Making intelligent design choices to help users explore. Design principles for layout and navigation. Session 4: Using interactivity  Making effective use of filters to slice and dice data sets. Using layers of information to enable drilldown data exploration. Complenting dashboards with automated alerts and queries. Delivery We deliver our courses over Zoom, to maximise flexibility. The training can be delivered in a single day, or across multiple sessions. All of our courses are live and interactive – every session includes a mix of formal tuition and hands-on exercises. To ensure this is possible, the number of attendees is capped at 16 people.  Tutor Alan Rutter is the founder of Fire Plus Algebra. He is a specialist in communicating complex subjects through data visualisation, writing and design. He teaches for General Assembly and runs in-house training for public sector clients including the Home Office, the Department of Transport, the Biotechnology and Biological Sciences Research Council, the Health Foundation, and numerous local government and emergency services teams. He previously worked with Guardian Masterclasses on curating and delivering new course strands, including developing and teaching their B2B data visualisation courses. He oversaw the iPad edition launches of Wired, GQ, Vanity Fair and Vogue in the UK, and has worked with Condé Nast International as product owner on a bespoke digital asset management system for their 11 global markets. Testimonial “Alan was great to work with, he took us through the concepts behind data visualisation which means our team is now equipped for the future. He has a wide range of experience across the topic that is delivered in a clear, concise and friendly manner. We look forward to working with Alan again in the future.” John Masterson | Chief Product Officer | ImproveWell

If you work with adults and young people and wish to gain a knowledge of the principles and practice of assessment as well as the practical aspects of carrying out assessment, then Level 3 Certificate in Assessing Vocational Achievement is for you.