40148 Courses

Inspiraology Hypnotherapy Training (IHT) Leicester is a national hypnotherapy training course offering fully accredited hypnotherapy training at level 4 HPD, which is considered the gold standard for hypnotherapy training in the united kingdom.

Join the free Building Your Business webinar on 11 December 2024 designed specifically for construction professionals in Essex to help you attract top candidates and team members, and improve your employee retention to help your business grow.

Official BRCGS Packaging Auditor Issue 6 course. Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

You MUST complete E-Learning on The Oliver McGowan Mandatory Training On Learning Disabilites & Autism before you attend further training. This is free and can be accessed here: https://portal.e-lfh.org.uk/Component/Details/781480 The training contains potentially challenging material that mentions death and dying, trauma, mental and physical illness, system failures and inequalities faced by autistic people and people with a learning disability. Tier 2 - Train The Facilitator Course Information  Suitable For: People who have the skills and experience needed to deliver Tier 2 Face-to-Face training to trainees who provide support and/or care of autistic people or people with a learning disability. Course Summary:  Tier 2 Train The Facilitator is a 2 day course. Trainee Facilitators need to: Complete the E-learning Attend a live Tier 2 training session Day 1 - Learning Disability Training Day Day 2 - Autism Training Day The trainee will then be assessed by our Lead Trainer where a decision will be made regarding signing the trainee off to delivery training. Information about The Oliver McGowan Mandatory Training on Learning Disabilities & Autism The training is named after Oliver McGowan. Oliver was a young man whose death at the age of 18, shone a light on the need for health and social care colleagues to have better skills, knowledge and understanding of the needs for autistic people and people with a learning disability. The Oliver McGowan Mandatory Training on Learning Disability and Autism is the government’s preferred and recommended training for health and social care staff and is enshrined in law in the Health & Care Act 2022. The Oliver McGowan Mandatory Training on Learning Disability and Autism is co-delivered with a Facilitator and co-trainers with lived experience of learning disability and autism. The Oliver McGowan Mandatory Training is a standardised package that is delivered by trained and approved trainers. The consistent content and delivery means it is transferable between employers. Content may trigger difficult and upsetting feelings. Please note that for this course to run there is a minimum of 3 trainees to attend; if this is not met by the day before the course it may not go ahead and you will need to reschedule.

Inspiraology Hypnotherapy training IHT Susses, is a fully accredited hypnotherapy training programme in Brighton. The course will take you to level 4.

Inspiraology Hypnotherapy Training (IHT) Swindon is a hypnotherapy training course in Swindon Wiltshire. The course runs over a 10 month period and leads to a diploma in clinical hypnotherapy.

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

LOOKING FOR: PICTURE BOOKS, MG, YA, ADULT FICTION Clare Wallace joined the Darley Anderson Agency in January 2011 and is building both the Darley Anderson Children’s Agency and the Darley Anderson Illustration Agency lists as well as taking on adult fiction for debut authors. Clare is particularly looking for funny chapter books for younger readers at the moment, as well as contemporary MG, YA fantasy, romance, and rom coms, especially with underrepresented protagonists. For picture books she has the widest taste, from daft to lyrical, rhyming to prose. As well as being busy with the children’s and illustration agencies, Clare is open to debut adult fiction submissions that could be described as book club, rom-com, romance, saga, reading group, fantasy or historical fiction. She often doesn’t know what she’s looking for until she finds it (although she is not the person for steampunk or space opera). She represents picture books, middle-grade, teenage and YA and debut adult fiction. The clients Clare represents include Perdita & Honor Cargill, Caroline Crowe, Tom Ellen, Martyn Ford, Stewart Foster, Olivia Hope, A M Howell, Polly Ho-Yen, Rachel Ip, Beth Reekles, J.P. Rose, Lindsay Galvin, Dave Rudden, Deirdre Sullivan and Efua Traoré. Whatever the age range, Clare loves a big hook, a lot of heart, and a standout voice. She loves to discover memorable new characters, bold and unique voices, strong concepts and gripping storytelling. This list gives a good indication of Clare's taste but if your submission doesn’t fit a description here, it doesn’t mean Clare doesn’t want to receive it. Clare would like you to send a covering letter, a one page synopsis and the first three chapters (Max 5000 words) of your manuscript. For picture books, please submit a covering letter and up to three completed texts. Please send EITHER picture books OR another genre, not both in one submission. (In addition to the paid sessions, Clare is kindly offering one free session for low income/underrepresented writers. Please email agent121@iaminprint.co.uk to apply, outlining your case for this option which is offered at the discretion of I Am In Print).  By booking you understand you need to conduct an internet connection test with I Am In Print prior to the event. You also agree to email your material in one document to reach I Am In Print by the stated submission deadline and note that I Am In Print take no responsibility for the advice received during your agent meeting. The submission deadline is: Thursday 12 December 2024

Enhance coal power plant efficiency with EnergyEdge's course on heat rate optimization. Join our classroom training for expert insights!

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