65 Quality Assurance (QA) courses delivered Live Online

Course Overview The Health and Social Care Level 5 Diploma is a comprehensive qualification designed to enhance learners' understanding of the UK’s care sector, including the ethical, legal, and professional frameworks that govern it. This course explores the critical responsibilities of care professionals, including safeguarding practices, communication strategies, and equality promotion within diverse care environments. Learners will gain a deep appreciation for the significance of person-centred care and the regulatory policies shaping health and social care in the UK. By the end of the course, participants will be well-prepared to step into leadership and supervisory roles, offering informed guidance and supporting quality standards in a variety of care settings. Course Description This diploma covers essential concepts such as safeguarding vulnerable adults, managing risks, promoting diversity, and upholding individual rights within health and social care environments. Learners will develop a solid grasp of professional ethics, communication relevance, and policy implementation within the scope of their roles. The course is delivered in a structured format, ensuring clarity and coherence as learners progress through each module. Participants will understand the intricacies of caregiving responsibilities, from legal duties to organisational procedures, gaining the confidence to uphold high standards in care delivery. Designed to align with industry expectations and UK compliance requirements, this qualification empowers learners with the knowledge needed to support individuals with dignity, empathy, and a firm understanding of professional obligations. Course Modules: Module 01: Introduction to Health and Social Care Module 02: Communication and Its Relevance Module 03: Rights and Responsibilities as a Health and Social Care Worker Module 04: Role as A Caregiver and Healthcare Professional Module 05: Working in Health and Social Care: Promoting Equality, Diversity and Rights Module 06: Important Principles and Policies in Health and Social Care Work Module 07: Safeguarding Vulnerable Adults Module 08: Health and Safety Responsibilities Module 09: Risk Management in Health and Social Care (See full curriculum) Who is this course for? Individuals seeking to build a foundation for supervisory roles in care. Professionals aiming to deepen their knowledge of care standards and regulatory responsibilities. Beginners with an interest in health, social care, or community support. Volunteers or support workers aspiring to gain formal recognition. Career Path Health and Social Care Supervisor Residential Care Manager Community Support Worker Health Services Coordinator Care Quality Assurance Officer Social Care Team Leader

Course Overview The Phlebotomy Diploma offers a comprehensive insight into the skills and knowledge essential for working within healthcare environments that require blood collection. This course provides learners with a thorough understanding of blood circulation, the use of specialist phlebotomy equipment, and the importance of quality control and infection prevention. By studying the stages of venipuncture, dermal puncture techniques, and the handling of complications, learners will develop the theoretical expertise to support clinical teams effectively. Ideal for those pursuing healthcare careers or aiming to strengthen their clinical knowledge, this diploma ensures learners are well-prepared to meet industry standards. Upon completion, students will possess a strong foundation in safe blood collection procedures, patient care considerations, and quality management, equipping them for future professional success in the healthcare sector. Course Description The Phlebotomy Diploma delves into the fundamental principles and practices underpinning blood collection and specimen handling. Learners will explore the human circulatory system, understand the function and composition of blood, and become familiar with the various types of phlebotomy equipment used in clinical settings. Topics include routine and special blood collection procedures, managing complications during venipuncture, infection control measures, and ensuring quality in phlebotomy services. Designed to provide a structured and engaging learning experience, the course supports the development of essential theoretical skills needed to perform safe and accurate blood draws. Learners will gain valuable insights into healthcare regulations, risk management protocols, and best practices for quality assurance. Whether seeking to enhance a healthcare career or build a foundation for further clinical training, participants will finish the course with a deep understanding of modern phlebotomy practices and patient-centred care. Course Modules Module 01: Introduction to Phlebotomy Module 02: Blood Circulation, Function, and Composition Module 03: Phlebotomy Equipment Module 04: Routine Venipuncture Module 05: Venipuncture Complications and Pre-Examination Variables Module 06: Dermal Puncture Module 07: Quality Assessment and Management in Phlebotomy Module 08: Special Blood Collection Procedure Module 09: Infection Control and Risk Management (See full curriculum) Who is this course for? Individuals seeking to pursue a career in healthcare support services. Professionals aiming to enhance their clinical knowledge and expertise. Beginners with an interest in phlebotomy, healthcare, and medical sciences. Career changers looking to enter the healthcare industry. Employers wishing to upskill their staff in healthcare environments. Career Path Phlebotomist Healthcare Assistant Medical Laboratory Assistant Clinical Support Worker Blood Donation Specialist Healthcare Administration Roles (related to specimen handling) Laboratory Technician (entry-level)

Interpreter Diploma Level 3 Course Overview The Interpreter Diploma Level 3 course provides comprehensive training in the essential skills and techniques required for professional interpreters. Covering a wide range of topics, this course focuses on translating various materials, the freelancing aspect of the profession, and the skills needed to succeed in an interpreter career. Learners will gain an understanding of the core principles of translation, the use of CAT tools, professional ethics, and client management. By the end of the course, learners will have the expertise to confidently enter the field of interpretation, whether working independently or in a corporate setting. Course Description This course offers a deep dive into the world of interpretation, beginning with the fundamentals of translation. Learners will explore the critical aspects of freelancing, including client acquisition, project management, and marketing strategies, all while gaining insight into the professional ethics required for success. The course covers the use of CAT tools to improve translation efficiency and ensures learners understand the importance of maintaining quality in every project. Learners will also explore the logistics of running a home office, managing their income, and ensuring they maintain a high standard of work. The course provides a strong foundation for anyone looking to pursue a career in interpretation or translation. Interpreter Diploma Level 3 Curriculum Module 01: An Overview of Translation Module 02: Introduction to Freelancing Module 03: Introduction to Freelance Translator Module 04: Activities Before Getting Started Module 05: Finding Clients Module 06: Managing the Work Module 07: Marketing Module 08: CAT Tools in Translation Module 09: Getting Paid for The Work Module 10: Setting Up Home Office Module 11: Professional Ethics of Freelance Translators Module 12: Ensuring Quality (See full curriculum) Who is this course for? Individuals seeking to become professional interpreters. Professionals aiming to transition into the field of translation. Beginners with an interest in freelance translation. Anyone wishing to work in an international or multilingual setting. Career Path Freelance Translator Interpreter for governmental or private sectors Language Services Provider Translation Project Manager CAT Tools Specialist Language Quality Assurance Specialist

Dental Radiography Course Overview This comprehensive course in Dental Radiography equips learners with a thorough understanding of the principles and practices involved in dental imaging. It covers both traditional and digital imaging techniques, providing insights into equipment, radiation physics, and safety protocols. The course is designed to enhance your technical skills, enabling you to produce high-quality dental images essential for diagnosis and treatment planning. Learners will gain the knowledge necessary to understand the full scope of dental radiography, ensuring confidence in their ability to manage imaging processes and interpret results effectively. Course Description The Dental Radiography course offers in-depth coverage of a wide range of topics, starting with the fundamentals of radiation physics and progressing through to advanced image interpretation. Learners will explore the types of radiographic equipment and film used in dental practice, alongside digital imaging systems. Special attention is given to the essential aspects of radiation protection, ensuring the safety of both patients and practitioners. The course delves into various intraoral and extraoral techniques, as well as how to identify dental conditions such as caries, trauma, and pulp lesions through radiographic images. By the end of the course, learners will have developed strong technical proficiency in dental radiography, with an ability to interpret dental images and apply safety measures. Dental Radiography Curriculum Module 01: Introduction to Dental Radiography Module 02: Radiation Physics Module 03: Basics of Equipment and Film Module 04: Film Processing Module 05: Film and Film Duplication Module 06: Digital Imaging Basics Module 07: Risk and Practical Radiation Protection Module 08: Practical Radiation Protection Module 09: Intraoral Technique: Intraoral Imaging, Paralleling and Bisecting Module 10: Intraoral Technique: Bite-Wing, Occlusal and Localisation Module 11: Exposure and Technique Errors Module 12: Extraoral Technique Module 13: Image Interpretation Basics Module 14: Image Interpretation: Dental Caries, Trauma, Pulpal and Periapical Lesions Module 15: Dental Radiographer Fundamentals Module 16: Quality Assurance (See full curriculum) Who is this course for? Individuals seeking to develop expertise in dental radiography. Professionals aiming to advance their career in dental imaging. Beginners with an interest in dental healthcare and imaging. Those wishing to enhance their knowledge in radiographic techniques. Career Path Dental Radiographer Dental Imaging Specialist Radiology Technician Dental Assistant in imaging departments Healthcare settings requiring dental diagnostic imaging expertise

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Duration 2 Days 12 CPD hours This course is intended for The target audience for the DevOps Test Engineering course is anyone involved in defining a DevOps Testing strategy, such as: Delivery Staff DevOps Engineers IT Managers Project Managers Lab Staff Maintenance and Support Staff Quality Assurance Managers Quality Assurance Teams Release Managers Testers Software Engineers Overview The learning objectives for DTE include a practical understanding of: The purpose, benefits, concepts and vocabulary of DevOps testing How DevOps testing differs from other types of testing DevOps testing strategies, test management and results analysis Strategies for selecting test tools and implementing test automation Integration of DevOps testing into Continuous Integration and Continuous Delivery workflows How DevOps testers fit with a DevOps culture, organization and roles This comprehensive course addresses testing in a DevOps environment and covers concepts such as the active use of test automation, testing earlier in the development cycle, and instilling testing skills in developers, quality assurance, security, and operational teams. The course is relevant for every modern IT professional involved in defining or deploying a DevOps testing strategy for their organization, as test engineering is the backbone of DevOps and the primary key for successful DevOps pipeline to support digital transformation. This course prepares you for the Continuous Testing Foundation(CTF) certification. Course Objectives and Modules, Logistics What is DevOps Testing and its Business Benefits?Relation of DevOps Testing in other Test MethodologiesDevOps Testing Best Practices DevOps Testing Terminology Culture changes Organization changes Process and team friction Motivation strategies Measuring Success Continuous Evolution Troubleshooting What is the DevOps pipeline? DevOps Testing on the pipeline Test strategy choices Pre-Flight strategies Continuous Integration Testing System, Delivery and Customer Testing Test Environments Lab Management Topology orchestration Test Automation Frameworks Test Tools Selection criterion Automated metrics Key concepts Test Case Best Practices & Design Exercise Test Suite Best Practices & Design Exercise Principles of DevOps Management DevOps Test Management Metrics DevOps Management Tools DevOps Test Results Analysis Integrating DevOps Results Analysis Test Management Exercise Fictitious Product Test Requirements Individual Exercise Class discussion Exam Preparation

Duration 2 Days 12 CPD hours This course is intended for DevOps Engineers Software Developers Telecommunications Professionals Architects Quality Assurance & Site Reliability Professionals Overview Automate basic freestyle projects Jenkins Pipelines and Groovy Programming Software lifecycle management with Jenkins Popular plugins Scaling options Integrating Jenkins with Git and GitHub (as well as other Software Control Management platforms) Triggering Jenkins with Webhooks Deploying into Docker and Kubernetes CI / CD with Jenkins This course covers the fundamentals necessary to deploy and utilize the Jenkins automation server. Jenkins enables users to immediately begin automating both their individual and collaborative workflows. Jenkins is a proven solution for a wide variety of tasks ranging from the helpful automation of scripts (such as Python and Ansible) to creating complex pipelines that govern the technical parts of not only Continuous Integration, but Continuous Delivery (CI/CD) as well. Jenkins is free, open source, and easily controlled with a simple web- based UI- it can be expanded by third party plugins and is deployable on nearly any on-site (Linux, Windows and Mac) or cloud platform. Overview of Jenkins Overview of Continuous Integration and Continuous Deployment (CI/CD) Understanding Git and GitHub Git Branching Methods for Installing Jenkins Jenkins Dashboard Jenkins Jobs Getting Started with Freestyle Jobs Triggering builds HTTP Web Hooks Augmenting Jenkins with Plugins Overview of Docker and Dockerfile for Building and Launching Images Pipeline Jobs for Continuous Integration and Continuous Deployment Pipeline Build Stage Pipeline Testing Stage Post Build actions SMTP and Other Notifications Programming Pipelines with Groovy More Groovy Programming Essentials Extracting Jenkins Data Analytics to Support Project Management Troubleshooting Failures Auditing stdout and stderr with Jenkins Jenkins REST API Controlling Jenkins API with Python Jenkins Security Scaling Jenkins Jenkins CLI Building a Kubernetes Cluster and Deploying Jenkins How to start successfully using Jenkins to automate aspects of your job the moment this course ends.

Duration 1 Days 6 CPD hours This course is intended for This basic course is designed for system administrators, system architects, application developers, quality assurance specialists, and technical sales and marketing professionals. Overview After completing this course, you should be able to: Summarize current business drivers and the need for flexibility Describe enterprise messaging and the capabilities it must provide Identify the main ways that IBM© MQ can impact application design Describe the basic components of IBM© MQ Differentiate between point-to-point and IBM© MQ cluster connectivity Summarize queue manager and queue manager components administrative tasks Contrast the architectural role of IBM© MQ clusters and multiple instance queue managers Describe the security provisions of IBM© MQ and IBM© MQ Advanced Message Security Describe how IBM© MQ is used as part of the communications infrastructure to: Connect application environments, such as the World Wide Web, enterprise transaction systems, and database systems Manage the distribution of publisher information to appropriate subscribers Provide file transfer management with IBM© MQ Managed File Transfer Serve as a JMS provider Interface with WebSphere Application Server Store in-flight messages for IBM© Integration Bus Interact with z/OS applications Facilitate connectivity to mobile environments with IBM© MQ Telemetry Describe the options for deployment to the Cloud In this course, you learn about IBM© MQ V9 basic components and the path that messages follow when they are exchanged between applications. You also learn how IBM© MQ administrative responsibilities can include the management of topic-based publish/subscribe messaging, managed file transfer, and deployments to the cloud. Topics include an overview of the support that IBM© MQ provides for security, publish/subscribe, high availability, administration, logging, auditing, managed file transfer, MQTT, and cloud options. Course introductionIBM© MQ overviewIBM© MQ basicsMessaging styles, topologies, and architecture overviewSystem administration overviewSecurity overviewIntroduction to IBM© MQ Managed File TransferIntroduction to IBM© MQ Telemetry and IBM© MessageSightIntroduction to the IBM© MQ ApplianceExpanding the scope of IBM© MQCourse summary

Duration 2 Days 12 CPD hours This course is intended for Managers of software development Software team leads Specialists in software development processes and quality assurance Overview An understanding of how to maintain a regular cadence when delivering working software during each iterationGaining a practical appreciation on how to follow the team approach; start as a team, finish as a teamKnowledge and understanding of Agile principles with context on why they are so important for each teamEmbracing planning from Vision down to Daily activities, recognizing the value of continuous planning over following a planBuilding a backlog of prioritized stories that provide emergent requirements for analysis that also fosters customer engagement and understandingAn engaging technique for more effective estimating (planning poker) and become more accurate by being less preciseKnowledge of pulling together Agile release plans that connect you back to business expectations ? including hard date commitments and fixed price models This boot camp-style workshop prepares you to manage, lead, or participate on Scrum projects by learning how to apply the practices of Scrum on an actual project. This boot camp-style workshop prepares you to manage, lead, or participate on Scrum projects by learning how to apply the practices of Scrum on an actual project. Additional course details: Nexus Humans BA16 - Managing Software Projects Using Scrum training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the BA16 - Managing Software Projects Using Scrum course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 2 Days 12 CPD hours This course is intended for If you are a data analyst, data scientist, or a business analyst who wants to get started with using Python and machine learning techniques to analyze data and predict outcomes, this book is for you. Basic knowledge of computer programming and data analytics is a must. Familiarity with mathematical concepts such as algebra and basic statistics will be useful. Overview By the end of this course, you will have the skills you need to confidently use various machine learning algorithms to perform detailed data analysis and extract meaningful insights from data. This course is designed to give you practical guidance on industry-standard data analysis and machine learning tools in Python, with the help of realistic data. The course will help you understand how you can use pandas and Matplotlib to critically examine a dataset with summary statistics and graphs, and extract the insights you seek to derive. You will continue to build on your knowledge as you learn how to prepare data and feed it to machine learning algorithms, such as regularized logistic regression and random forest, using the scikit-learn package. You?ll discover how to tune the algorithms to provide the best predictions on new and unseen data. As you delve into later sections, you?ll be able to understand the working and output of these algorithms and gain insight into not only the predictive capabilities of the models but also their reasons for making these predictions. Data Exploration and Cleaning Python and the Anaconda Package Management System Different Types of Data Science Problems Loading the Case Study Data with Jupyter and pandas Data Quality Assurance and Exploration Exploring the Financial History Features in the Dataset Activity 1: Exploring Remaining Financial Features in the Dataset Introduction to Scikit-Learn and Model Evaluation Introduction Model Performance Metrics for Binary Classification Activity 2: Performing Logistic Regression with a New Feature and Creating a Precision-Recall Curve Details of Logistic Regression and Feature Exploration Introduction Examining the Relationships between Features and the Response Univariate Feature Selection: What It Does and Doesn't Do Building Cloud-Native Applications Activity 3: Fitting a Logistic Regression Model and Directly Using the Coefficients The Bias-Variance Trade-off Introduction Estimating the Coefficients and Intercepts of Logistic Regression Cross Validation: Choosing the Regularization Parameter and Other Hyperparameters Activity 4: Cross-Validation and Feature Engineering with the Case Study Data Decision Trees and Random Forests Introduction Decision trees Random Forests: Ensembles of Decision Trees Activity 5: Cross-Validation Grid Search with Random Forest Imputation of Missing Data, Financial Analysis, and Delivery to Client Introduction Review of Modeling Results Dealing with Missing Data: Imputation Strategies Activity 6: Deriving Financial Insights Final Thoughts on Delivering the Predictive Model to the Client