683 Practitioner courses in Cardiff delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for IS Security Officers Privacy Officers Health IS Managers Risk Managers Information Security Managers Compliance and Privacy Officers Overview Upon completion, the student will be ready to take the Certified Healthcare Information Systems Security Practitioner exam by mile2. In addition, at the end of the CHISSP course, the student will be versed with best practices in the healthcare industry and will be able to establish a framework with current best practices in respects to privacy, regulation and risk management. The Certified Healthcare IS Security Practitioner, C)HISSP certification course covers the skills and knowledge to implement the best IT healthcare practices, as well as, regulatory compliance and standards in the healthcare industry. Because of growing industry regulations and privacy requirements in the healthcare industry, the C)HISSP was developed by Mile2. Graduates of this course have become vital in managing and protecting healthcare data and are tasked to protect patient information by implementing, managing, and assessing proper IT controls for patient health information integrity. Course Outline Intro to the Healthcare Industry Regulatory Environment Healthcare Privacy and Security Policies Information Governance Risk Management Third-Party Risk Management

This course will equip non-registrants to allocate patients safely into face to face or telephone appointments, with an appropriate practitioner or service. The course will also equip non-registered staff to question for, recognise and allocate patients with urgent health needs.

Better Business Cases™ Practitioner: Virtual In-House Training Better Business Cases™ is based on the Five Case Model - which is the UK government's best practice approach to structuring spending proposals and making effective business decisions. Using this best-practice approach will allow organizations to reduce unnecessary spending and improve the decision-making process which gives you a greater chance of securing necessary funding and support for initiatives. The goal of the practitioner course is to develop a candidate's ability to deliver a comprehensive business case, through encouraging expanded knowledge to guide the practical application of theoretical foundations. Upon the completion of this Practitioner course, a candidate will be able to start applying the model to a real business case development project. What You Will Learn At the end of this program, you will be able to: Develop the lifecycle of a business case and to establish the relationships between the five cases Apply the steps in the business case development framework, in order to support the production of a business case, using the Five Case Model, for a given scenario Overview of Better Business Cases Alignment with the strategic planning process Importance of the Business Case using the Five Case Model Overview of the Five Case Model Purpose of the key stages in the development of a spending proposal Purpose of a Business Justification Case Business Case Development Process Purpose of project / programme assurance and assurance reviews Responsibility for producing the Business Case Determining the Strategic Context and Undertaking the Strategic Assessment Scoping the Scheme and Preparing the Strategic Outline Case Planning the Scheme and Preparing the Outline Business Case Procuring the Solution and Preparing the Full Business Case Implementation and monitoring Evaluation and feedback Making the Case for Change Agree on the strategic context Determine spending objectives, existing arrangements, and business needs Determine potential business scope and key service requirements Determine benefits, risks, constraint, and dependencies Exploring the Preferred Way Forward Agree on critical success factors Determine long list options and SWOT analysis Recommend a preferred way forward Determining Potential Value for Money Revisit the short list Prepare the economic appraisal for short-listed options Undertake benefits appraisal Undertake risk appraisal Select preferred option and undertake sensitivity analysis Preparing for the Potential Deal Determine the procurement strategy Determine service streams and required outputs Outline potential risk apportionment Outline potential payment mechanisms Ascertain contractual issues and accountancy treatment Ascertaining Affordability and Funding Requirement Prepare the financial model Prepare the financial appraisals Planning for Successful Delivery Plan programme / project management Plan change and contract management Plan benefits realization Plan risk management Plan programme / project assurance and post project evaluation Procuring the Value for Money Solution Revisit the case for change Revisit the OBC options Detail procurement process and evaluation of best and final offers (BAFOs) Contracting for the Deal Set out the negotiated deal and contractual arrangements Set out the financial implications of the deal Ensuring Successful Delivery Finalize project management arrangements and plans Finalize change management arrangements and plans Finalize benefits realization arrangements and plans Finalize risk management arrangements and plans Finalize contract management arrangements and plans Finalize post-project evaluation arrangements and plans

Coming soon! The Oral Health Practitioner role complements the role of other dental professionals and fits in the dental career structure a higher level than a dental nurse but below a dental hygienist, hygienist / therapist or dentist. Working to the direction of a dentist you will take dental bacterial plaque indices and debris scores, apply fluoride varnish, take clinical photographs and take impressions.

The NCSP® ISO 27001 Specialist accredited (APMG International), certified (NCSC/GCHQ-UK), and recognized (DHS-CISA-USA) certification course teaches Digital Business, Operational Stakeholders, Auditors, and Risk Practitioners a Fast-Track approach to adopting and adapting the ISO 27001 controls in the context of a NIST Cybersecurity Framework program.This course looks at the impact of adapting a principled approach to an enterprise risk management framework to better support cybersecurity decisions within the context of the selected informative reference. It guides participants on the best approach to adapt, implement, and operate (AIO) a comprehensive cybersecurity program that integrates into existing organizational capabilities and incorporates the selected Informative Reference. NCSP® ISO 27001 Specialist introduces the integration of typical enterprise capabilities with cybersecurity from the perspective of the selected cybersecurity informative reference. The overall approach places these activities into systems thinking context by introducing the Service Value Management System composed of three aspects, governance, assurance, and the Z-X Model. With this in place, the course presents the approach to adapt, implement, operate, and improve the organizational cybersecurity posture that builds on the application of the FastTrack™ presented in the NCSP Practitioner. The NIST Cybersecurity Professional (NCSP®) program is the industry's first accredited certification training program that teaches organizations how to build a Digital Value Management Overlay System capable of leveraging the NIST Cybersecurity Framework to deliver the secure, digital business outcomes expected by executives, government regulators, and legal advisors.

The NCSP® 800-171 Specialist accredited (APMG International), certified (NCSC/GCHQ-UK), and recognized (DHS-CISA-USA) certification course teaches Digital Business, Operational Stakeholders, Auditors, and Risk Practitioners a Fast-Track approach to adopting and adapting the 800-171 controls in the context of a NIST Cybersecurity Framework program. This course looks at the impact of adapting a principled approach to the enterprise risk management (ERM) framework to better support cybersecurity decisions, establishing the context for the selected informative reference (IR). It guides participants on the best approach to adapting, implementing, and operating (AIO) a comprehensive cybersecurity program that can be integrated into the existing organizational capabilities and incorporates the selected IR. NCSP® 800-171 Specialist introduces the integration of typical enterprise capabilities with cybersecurity from the selected cybersecurity IR perspective. The overall approach places these activities into a systems-thinking context by introducing the service value management system (SVMS), including governance, assurance, and the Z-X model. With this in place, the course presents the approach to adapt, implement, operate, and improve the organizational cybersecurity posture that builds on the application of the FastTrack™ concept presented in the NCSP Practitioner course. The NIST Cybersecurity Professional (NCSP®) program is the industry's first accredited certification training program that teaches organizations how to build a Digital Value Management Overlay System capable of leveraging the NIST Cybersecurity Framework to deliver the secure, digital business outcomes expected by executives, government regulators, and legal advisors.

Inspiring, interactive and unique 4-hour CPD certified training on Communication and Co-production with Parents/Carers

CPD certified, digital study session, 24-hour postural care training, learning new ways to bring excellence to 24-postural care, focussing on supported lying.

Overcoming Anxiety with NLP is a three hour online workshop with Accredited Trainer of NLP and Clinical Hypnotherapist Paul McGowran of proactivenlp.com. During the workshop Paul will take delegates through understanding how to resolve their own anxiety using NLP thinking and techniques. You can live a life without anxiety, sign up now.

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