1191 Courses

Pilates Reformer Instructor Training Program Modules: Reformer I, The Pilates Reformer is an extraordinarily flexible piece of exercise equipment allowing resistance and support for exercises involving every part of the body. Our program gives you a thorough understanding of how to use the Reformer to develop core and extremity strength, stability, flexibility, coordination and balance.

Anatomy in 3 Dimensions Anatomy in Three Dimensions™ Build muscles in clay on Balanced Body’s own specially designed skeleton, and imprint the body’s design deeply into your mind and body.

Come and have some fun with clay in the peaceful setting of my studio located in the cottage garden of our home on the Cambridgeshire/Norfolk border.

Mat 3 Enhanced Pilates Mat completes the mat training by adding rings, rollers, bands and balls to the traditional Mat exercises.

In this series we are going behind–the–scenes with established studios and hearing how they created their own brand.

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

Here in this Sketchbook Workshop, we believe that art should be fun and accessible to everyone. That's why we have a wide variety of materials and techniques to choose from, so you can find your own style and approach. Our workshops are centered around your interests and needs, so whether you want to learn new skills or gain inspiration for your next project, we'll help you find it. You can find inspiration in the studio or the beautiful countryside it sits in. You'll leave feeling confident to carry on at home

Trapeze Table/Cadillac/Tower, Chair, and Barrels The Balanced Body Pilates Apparatus instructor training programme completes the full Pilates instructor certification program.

Reformer II Intermediate Exercises • Prerequisites: Reformer I • Reformer II includes intermediate exercises and modifications designed for group and individual instruction.

Join us in our studio to learn about the joys of botanical resin.