27136 Courses

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

16-19 Courses to boost UCAS applications. Why not boost your chances of getting on to the courses you have applied for or are dreaming of by taking a series of regulated training courses which give you 32 UCAS points in total. Based in Crawley West Sussex, we can come to you or your school to get these valuable boosts booked in to help increase your chances with our compliance company Comply Sense

Duration 1 Days 6 CPD hours This course is intended for This course is intended for customer service professionals with any level of experience who want to expand their knowledge, improve their skill set, and increase the understanding of customer benefits. Overview In this course, you will explore the background and techniques of customer interactions. You will: ?Describe the benefits of customer service, identify internal customers, identify the benefits to you of giving good customer service, and identify how you can help your company to excel. ?Identify the major trends in customer service today and the combination of criteria required for customer satisfaction. ?Identify the benefits of bringing respect, emotional support, and a personal touch to customer interactions, and apply the personal touch to customer interactions. ?Identify the six categories of face-to-face communication, the critical success factors in face-to-face communication, and the benefits of actively listening to your customers. ?Identify remote customer service communication channels and apply remote customer service best practices. ?Identify guidelines for handling unreasonable customers, explore ways to handle angry customers, and identify guidelines for handling unhelpful colleagues. ?Take action to increase the loyalty of the customers you serve. You will also identify guidelines for dealing with moments of truth, identify the benefits of customer complaints, identify the steps in the service recovery process, and analyze the moments of truth in a real-life situation. As a customer service representative, you are expected to handle customer interactions in the best way possible. The expectations of both your company and your customers hinge on your ability to provide the right service in the right way. In this course, you will explore the background and techniques of customer interactions. Providing quality customer care ensures that every single contact with your company is a positive experience. Customers can range from external consumers to internal employees in other departments. Knowing how to provide the same level of service to all customers will enrich your time spent at work by establishing positive business relationships. Recognizing crucial points throughout customer interactions increases your ability to solve problems and offer affirmative solutions. Applying this knowledge to trends in service and consumer desires allows you to contribute to the company?s bottom line and make a customer?s life a little easier. 1 - Understanding Customer Service Describe Customer Service Benefits Recognize the Importance of Internal Customer Service Identify How Customer Service Benefits You Excel with Customer Service 2 - Identifying How Customers Define the Success of Your Company Recognize Trends in Customer Service Identify Criteria for Customer Satisfaction 3 - Increasing Customer Satisfaction Identify Characteristics of the Personal Touch Create Lasting Positive Impressions on Your Customers 4 - Providing Face-to-Face Customer Service Identify Categories of Face-to-Face Contact Understand the Critical Success Factors in Face-to-Face Customer Service Identify the Characteristics of Active Listening 5 - Providing Remote Customer Service Identify Remote Customer Service Communication Channels Apply Remote Customer Service Best Practices 6 - Engaging Difficult Customers Serve Difficult Customers Manage Angry Customers Deal with Difficult or Unhelpful Colleagues 7 - Increasing Customer Loyalty Optimize Moments of Truth Recognize the Value of Customer Complaints Identify the Stages of the Service Recovery Process

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

This one-day course introduces the field of user experience and provides an excellent entry point to our other specialised training courses. UX processes and practices have become a central component of product design, service design and web design.

Develop essential negotiation skills with EnergyEdge's course tailored for engineers and technical professionals. Enroll in our classroom training now!

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

This qualification is aimed at learners who wish to work in an unsupervised capacity; planning, instructing and evaluating a safe and effective Pilates session.

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.

Experience 2 hours of chocolate heaven! Discover a wide variety of techniques for making beautiful and delicious chocolate truffles, have fun making a generous assortment of your very own treats to take away and end your experience with a relaxing guided truffle tasting! Most visitors to The Chocolatarium are adults, and the truffle-making experience is especially recommended for chocolate lovers aged 10+.