2858 Learning courses in Cardiff delivered Live Online

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 highly interactive workshop will give your management team the skills and the tools necessary to understand relationships and behavioral styles of employees, improve performance and efficiency, and adopt solutions and strategies to increase your competitive edge. Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Specialised to address issues around inclusivity and equity in all industries Program Details Peak Performance Part I: Observation, Assessment and Determination The final objective of this workshop is a full understanding of how managers can assess their employees for optimal behavioral team communication and assignments. Peak Performance Part II: High Efficiency Teams The final objective of this workshop is a full understanding of how managers can create High Efficiency teams taking into accounts skills and behaviors. Peak Performance Part III: Self-Learning Teams The Final objective of this workshop is KPIs agreed upon and commonly shared by employees and managers to allow employees to self-manage their learning and measure their progress monitored by managers. Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 12 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Corporate Peak Performance Program One Pager

During this live-online masterclass we will focus on understanding recent developments in the mental health and wellbeing of children in the UK, including looking at the impact of cultural and technological changes over recent years and the impact this is having in schools.

Discover how to elevate your career as an executive assistant or personal assistant with our comprehensive EA Mastery Workshop. Gain new skills, strategies, and tools to maximize your impact and achieve success.

Insightful leaders understand the importance of employee collaboration and a solid team ethos. Highly efficient and self-learning teams only achieve top performance when leaders and team members are aligned with regard to diversity, equity and inclusion. This is a highly interactive and tailored workshop with two tracks: Upper Management Track and Midde Management/Staff Track. Optimised for tailored audiences Built for groups of 20+ Led by experienced and certified professionals Specialised to address issues around inclusivity and equity in all industries Program Details For Upper Management Teams Module 1 – The Empowered Leader: 15 Characteristics Module 2 – Communication and Listening Skills Module 3 – Empowering and Respecting Employees Module 4 – (DEI) Principles for Full Cultural Inclusivity For Middle Management & Staff Teams Module 1 – Typical Struggles Module 2 – Support for Growth Module 3 – Get Inspired Module 4 – See What it Looks Like Investment Fee: £50,000 25 participants max per 12-week cohort TRAINING FORMAT : 16 - Week Cohorts Delivered in 1-hour sessions Virtually Facilitated Sessions Corporate DEI Program One Pager

This must-attend masterclass will provide a comprehensive understanding of all the key developments in the latest statutory and non-statutory guidance documents from a DSLs perspective, and how they relate to safeguarding provision in schools and colleges.

Duration 1 Days 6 CPD hours This course is intended for Software Engineers Overview The objective of this course is to learn the key language concepts to machine learning, Spark MLlib, and Spark ML. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume. This course will teach you the key language concepts to machine learning, Spark MLlib, and Spark ML. The course includes coverage of collaborative filtering, clustering, classification, algorithms, and data volume.

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.

Enhance your ability to apply a range of techniques and tools to help improve management of emotions under stress, make more effective decisions in difficult scenarios and manage your energy more effectively in stressful situations.

Historical Association webinar series: Direct history teaching Presenters: Mike Hill and Jacob Olivey In this third session, Jacob and Mike will argue that a history teacher should always be a sage on the stage – and not a guide on the side. They will share strategies that allow history teachers to drive learning for an entire class, ensuring that all pupils pay attention, take part in the lesson, and feel successful. To use your corporate recording offer on this webinar please fill in this form: https://forms.office.com/e/Qr1PfgRHSS We are able to offer the webinars in this series at a subsidised cost as the presenters' time has been partially funded by their school, Ark Soane Academy. We are open to developing partnerships across schools and trusts. If you are interested in discussing this further, please contact Mel Jones at melanie.jones@history.org.uk