The One Day - MHFA Champion Course teaches you how to identify when a person might be experiencing a mental health issue and how to guide them to get the help they need.
CRRUK equips professionals with the concepts, skills and tools to build conscious, intentional relationships, and to coach relationship systems of any size.
Are you ready to become an advanced aesthetics practitioner? Join Our 5-Day Advanced Aesthetics Course! Our 5-day advanced course is your pathway to mastery! Led by a highly skilled advanced practitioner from an industry-recognized training provider, this intensive program dives deep into advanced techniques, patient care, and business best practices. Course Summary: Unlock your potential in the world of aesthetics with our intensive 5-day Immersive Advanced Aesthetics Course, perfect for beginners and those ready to take the first steps toward a career in aesthetics! Under the guidance of an experienced advanced practitioner from a reputable training provider, you'll gain foundational knowledge, hands-on experience, and advanced skills in aesthetic techniques, patient care, and business insights. Course Overview: This course covers everything from essential aesthetic principles to advanced skin and facial treatments. You'll learn how to perform injectables, skin rejuvenation techniques, and patient consultations, empowering you to administer aesthetic procedures with confidence and precision. Each module is designed to give you practical skills that translate directly to real-world application. The course will include: - Foundation Level Basic Botulinum Toxin type A training - Foundation Level Basic Dermal Filler training - Advanced Botulinum Toxin type A training - Advanced Dermal Filler training - Microneedling - Dermaplaning - Fat Dissolving injections - Skin Boosters - Lumi Eyes - Complications Management L7 - Safe Practice in Medicine L7 - Qualsafe Level 3 Emergency First Aid at Work (RQF) - CPR - Anaphylaxis *FREE Qualsafe Level 1 Award in Introduction to Mental Health in the Workplace (RQF) course * Learners will require 4 live models each for this course and these models are to be arranged by the learner themselves. x 1 model will be required on day 3 - Dermaplaning - Microneedling x2 models required for day 4 model 1 Foundation dermal filler (Lips, Marionette lines, nasolabial folds) Fat dissolving injections Model 2 Advanced dermal filler (Jaw, chin, cheeks, and nose) x1 model will be required on day 5 - Skin booster - Lumi eyes Start and Finish times: Day 1 Course start time 09:00am Course finish times 16:00am Day 2 – 5 Course start time 09:30am Course finish time 16:30am Entry requirements: Minimum age of 18 Basic Maths and English skills Learners will leave with 12 nationally recognised qualifications, and the ability to gain insurance to start practicing straight away as an advanced aesthetics practitioner.
This is the first module of a series designed to provide thorough, professional training in leatherworking and accessory making. Each module has been carefully designed to equip individuals with key skills for starting a career in this sector, broadening their industry knowledge, or embarking on their own journey with solid foundational skills. During the lesson, you will learn how to proficiently handle a variety of essential hand tools and how to distinguish leather types and understand their suitability for specific projects and techniques. You will gain insights into the technical aspects of leatherworking, including preparation, marking, cutting, gluing, reinforcing, skiving, debossing, and more. You will receive valuable handouts, curated lists of leather and tool suppliers for ongoing reference, and create personalised samples for your own reference. Summary of topics covered in the class: – Leather types, tanning, finishings, and best uses – Leather preparation, pattern placement and leather marking – Leather cutting, beveling and creasing – Leather gluing and reinforcing – Leather skiving – Tool sharpening By the end of the tuition, you will have: – Worked with a variety of tools and various leathers, creating a catalogue of samples to take home – Gained a comprehensive understanding of leather types and the ability to select the correct material for your project – Developed confidence in utilising a wide range of specific tools for leather preparation, marking, finishing, cutting and more – Acquired an understanding of working with diverse leather types and thicknesses, with the ability to source and select appropriate tools for the specific material you intend to use – Obtained a thorough understanding of the differences and best uses of reinforcements, stiffeners, and stabilisers Included in the course: You will receive useful paper handouts containing: – A list of tools and materials used during the lesson(s), with descriptions and usage instructions – A list of recommended suppliers for leather and fittings, both in London and online – A glossary of leather types and characteristics You will also be provided with catalogued material swatches, including: – Main leather types – Reinforcements, stiffeners, and stabilisers Find all modules here: https://the-london-leather-workshop.cademy.co.uk/
Our Foundation Aesthetics Course is designed for aspiring aesthetics practitioners looking to gain essential skills and knowledge in a supportive and professional setting. Led by an Advanced Practitioner from an established training provider, this comprehensive course covers the foundational techniques needed to safely and effectively administer aesthetics treatments, focusing on quality, patient care, and best practices. Throughout the course, learners will gain hands-on experience with real models and in-depth guidance on essential procedures. Key areas covered include anatomy, facial mapping, safety protocols, and best practices for administering aesthetic treatments. By the end of the course, participants will be equipped with the foundational skills, knowledge, and confidence needed to start their journey in the aesthetics industry. The course will include: - Foundation Level Basic Botulinum Toxin type A training - Foundation Level Basic Dermal Filler training - Microneedling - Dermaplaning - Fat Dissolving injections - Skin Boosters - Lumi Eyes - Complications Management L7 - Safe Practice in Medicine L7 - Qualsafe Level 3 Award in Emergency First Aid at Work (RQF) - CPR - Anaphylaxis Learners will require 3 models each over the duration of this course. 1 model will be required on day two and 2 models will be required on day three. Models are to be arranged by the learners themselves. Start and Finish times: Day 1 - 9am until 4pm Days 2 and 3 - 9.30am until 4.30pm Entry requirements: Must be a minimum of 18 years of age Basic Maths and English skills Learners will complete the course with 10 nationally recognised qualifications, and the ability to gain insurance to start practicing immediately. Take this opportunity to build a future in the aesthetics industry with the knowledge and confidence that only the best training can provide. Book now to secure your place and start your journey towards a rewarding career!
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