1695 Mode courses in Cardiff delivered Live Online

This course is designed for all those who are planning to visit Greece and would like to learn and practice common and useful Greek phrases used when travelling. This mini-course introduces different aspects of Greek for tourism, working on main language points and useful Greek vocabulary through a variety of topics related to the tourist industry. After the completion of the course you will be able to communicate in basic everyday circumstances. The course is designed to be completed in 10 days – 10 lessons of 60 minutes each. The lessons are supported by slides (including readers and exercises), audios, and video files. All you need is a computer and an Internet connection, and you are ready to go!

What will you learn in this course? Understand without any difficulty everything heard or read and express yourselves in complex situations. Communicate with native speakers with ease. Understand the main ideas of abstract topics. Speak with clarity and argue on topics by presenting advantages and disadvantages. Deal with unexpected issues concerning your everyday life (problems related to home, work, friends and family). The main topics to be covered in this course are about feelings, telling stories, achievements, making decisions, advantages & disadvantages, media, greek culture and more.

Τhis is a customised course offered only to advanced adult learners who speak and write Greek in an advanced or proficient level. The course is supported by readers, newspaper articles, audio and video files.

Duration 1 Days 6 CPD hours This course is intended for This course is designed for existing Microsoft SharePoint site users who will create and manage SharePoint team or communication sites in SharePoint Online or SharePoint 2019. Overview In this course, you will create a SharePoint team site and a communication site, perform basic content management tasks on SharePoint sites, and configure workflows with Forms and Flow. You will: Create and configure new SharePoint sites. Create and configure document libraries. Create and configure lists. Assign permissions and access rights. Create and configure a communication site. Implement workflows with Forms and Flow. This course will empower you to use Microsoft© SharePoint© online to facilitate collaboration and allow you to use familiar applications and web-based tools to create, access, store, and track documents and data in a central location. Enable and configure SharePoint?s many distinct features and discover the many content structures that can be selected, added, and configured. Learn how to create, configure, and manage SharePoint sites so that your team or organization can share information and collaborate effectively.SharePoint content structures and configuration options are complex. As a site owner, it is critical that you understand what features, options, and content structures are available in SharePoint online, and how to properly configure them. With SharePoint sites, features, and content structures properly implemented, you will be able to securely share files, collaborate on documents, and access the information you need to work with your colleagues more effectively. Creating and Configuring a New Site Topic A: Create a Site in SharePoint Topic B: Configure Site Look and Layout Creating and Configuring Document Libraries Topic A: Create Document Libraries Topic B: Configure File Versioning and Checkout Topic C: Configure Content Approval Creating and Configuring Lists Topic A: Add List Apps to a Site Topic B: Create Custom Lists Topic C: Create Calculated and Validated Columns Assigning Permissions and Access Rights Topic A: Secure Sites with Permissions Topic B: Secure Apps, Documents, and Files Creating and Configuring a Communication Site Topic A: Create a Communication Site Topic B: Configure a Communication Site Implementing Workflows with Forms and Flow Topic A: Capture Data with Forms Topic B: Store Form Data in SharePoint with Flow Topic C: Automate Business Processes with Forms, Flow, and SharePoint

Overview This is a 2 day applied course on XVA for anyone interested in going beyond merely a conceptual understanding of XVA and wants practical examples of Monte Carlo simulation of market risk factors to create exposure distributions and profiles for derivatives used for XVA pricing Learn how to do Monte Carlo simulation of key market risk factors across major asset classes to create exposure distributions and profiles (with and without collateral) for derivatives used for XVA pricing. Learn how to calculate each XVA. Learn sensitivities of each XVA and how XVA desks manage these. Learn regulatory capital treatment of counterparty credit risk (both for CCR and CVA volatility) and how to stress test this within ICAAP or system-wide external, supervisor-led capital stress test. Who the course is for Anyone involved in OTC derivatives XVA traders XVA quants Derivatives traders and salespeople Risk management Treasury staff Internal audit and finance Course Content To learn more about the day by day course content please click here To learn more about schedule, pricing & delivery options, book a meeting with a course specialist now

Have you ever felt that you are living life on autopilot? Going through the motions and being buffeted by life’s storms? If so, during this workshop, you will discover how to disengage your autopilot, to understand why we do what we do, gain clarity and a new perspective on what is happening in your life, plus explore the wonderful opportunities for positive change using NLP in order to take back the controls of your life.

The key to a confident birth experience is knowledge and education. This workshop will guide you through the process.

Whether it's for fun, friendship, fitness, or for your future, dancing is a great way to express yourself and grow. If you're looking for something fun and free, or something more technical and focused there's a dance class here for you. We hope you will enjoy your time at our dance school! An exciting and fresh dance school in Aberdeen, Scotland.

This ilm recognised programme builds on the coaching fundamentals to focus on enhancing the coach’s self-awareness and coaching techniques, refining both practice and skill to develop a coaching style of leadership.

Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production