50534 Courses delivered Online

FAA Level 1 Award In Awareness Of Safeguarding (RQF) Face-to-Face Classroom: Half-day course Virtual Classroom: 2 sessions of 2 ½ hours For those who work with children, young people and vulnerable adults Promotes awareness of safeguarding, enabling learners to identify problems and show where to report these to Course Contents: Safeguarding legislation and guidance Key safeguarding roles Different types of abuse Signs and indicators of abuse and neglect Actions to take when a safeguarding concern arises Benefits of this course: In 2018/2019, 415,050 concerns of abuse were raised In 2018/2019, there were nearly 400,000 children in need 52,300 children were subject to a child protection plan 63% of adult safeguarding concerns are for people over 65 1 in every 42 adults aged 85+ have required safeguarding enquires... Child abuse often goes unreported and unrecorded - till it is picked up on by someone who then does something about it. This Level 1 Safeguarding Awareness course gives people the knowledge to make a real difference to a person's life! This basic Safeguarding course is a nationally recognised, Ofqual regulated qualifications accredited by First Aid Awards Ltd. This means that you can be rest assured that your Level 1 in Safeguarding Certificate provides information for best practice to make a real difference to protect the health and wellbeing of the most vulnerable in our society. The Ofqual Register number for this course is 603/5635/2

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

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.

Are you interested in enrolling on an Online (Distance) Learning Degree at Arts University Plymouth, but curious about how virtually attending an Arts University works? If so, join us online for our Free 3-Session Online Learning Taster Course. An introduction to our January-start degrees. This course has been designed to give you a taste of what it is like to study with us virtually, as well as giving you tailored support for your university application. You will get a virtual art university experience, and a chance to meet some of the lecturers for the subjects you are interested in studying.

City & Guilds Level 3 Certificate in Assessing Vocational Achievement This qualification is for anyone working in or looking to enter an assessment role. It is designed for use in England, Wales and Northern Ireland – alternative arrangements exist in Scotland. Learn about the Cavity Training Dental Nurse Assessor Course The units and qualification will provide people who carry out assessment in their organisation with the opportunity to develop and improve their practice as well as achieving a professional qualification for the role. They are available to anyone working in: accredited learning; non accredited learning (where people may assess performance but do not assess for a qualification) and the NQF. Achievers will understand the principles of assessment and have the knowledge to develop and improve systems at their centre. You will gain access to our unique E library of text books. We also have special discounted rates for hard copy text books for our students. Frequently Asked Questions How long is the course? The course duration is 4 to 6 months. When are the classes held? You will attend a live webinar class every Thursday for 16 weeks. Is there an exam at the end? There is no exam at the end, you need to successfully complete 8 assessments and a final professional discussion with your tutor. What if I don’t have student nurses in my practice? We may be able to support you by providing you with learners to assess. Please get in touch. What qualifications do I need to start the course? Preferable English and Maths level 4 and above, you must also be GDC registered. What opportunities for progression is there? This qualification allows candidates to further progress onto various post registration qualifications or career opportunities, such as: – Dental Nurse Teaching – Internal Quality Assurer (IQA) Course Dates 11th April 2024 9:00am - 4:00pm 29th August 2024 9:00am - 4:00pm 2nd January 2025 9:00am - 4:00pm 8th May 2025 9:00am - 4:00pm Costs £800.00 per person (inc. VAT) Other payment options Deposit - £267.00 with 2 further payments Please choose from one of the course start dates above. Each course includes 16 weeks of lessons and up to two months to complete a portfolio and professional discussion.

This week long CPD accredited training is ideal for those Real Estate professionals, who are looking to bolster the DCF modelling skills. This course covers Real Estate Investment, Development, Finance & Risk.

Official BRCGS Product Safety Management course: Internal Auditor Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

Official BRCGS Food Safety Issue 9 Lead Auditor training course. Delivered online (Zoom) by a live BRCGS Approved Training Partner & Virtual Trainer. Exam and Certificate fee included in the price.

CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.

The two-day Youth MHFAider® course is tailored for people who teach, work, live with, support and care for young people aged 8 to 18. This mental health first aid course can be attended by anyone from age 16 upwards.