3890 Courses in Cardiff delivered Live Online

Course Overview This comprehensive course is designed to provide a well-rounded understanding of GDPR compliance, data protection frameworks, and key cyber security legislation in the UK and beyond. Covering topics from legal obligations under the General Data Protection Regulation to the implications of cyber crime on modern business, this programme equips learners with the knowledge needed to navigate the increasingly regulated digital landscape. Whether you are responsible for handling sensitive data or advising on compliance procedures, this course offers vital insight into maintaining data integrity and organisational transparency. Upon completion, learners will be able to interpret key legal requirements, identify risk areas, and support best practices within their professional setting. Course Description The GDPR Compliance, Data Protection & Cyber Security Law course explores a range of essential subjects that influence today’s data-driven industries. Learners will gain a strong foundation in legal and regulatory aspects of data handling, including the principles of GDPR, cyber law, and anti-money laundering frameworks. The course also includes modules on commercial and business law to deepen understanding of corporate responsibilities in data management. Ideal for legal assistants, compliance officers, or business managers, this course helps learners enhance their ability to assess data security measures and ensure alignment with current regulations. With a structured curriculum and accessible learning materials, this programme supports learners in achieving a robust legal and regulatory understanding. Course Modules: Module 01: GDPR Module 02: Data Protection Module 03: Paralegal Training Module 04: Commercial Law Module 05: Cyber Law Online Course Module 06: Business Law Module 07: Cyber Security Awareness Training Module 08: Anti-Money Laundering (AML) Training (See full curriculum) Who is this course for? Individuals seeking to understand GDPR and data security regulations. Professionals aiming to improve compliance and data governance within their roles. Beginners with an interest in legal and cyber regulatory frameworks. Business owners, managers, or HR personnel responsible for policy implementation. Career Path Data Protection Officer (DPO) Compliance Consultant Cyber Security Policy Advisor Paralegal in Commercial or Cyber Law Information Governance Analyst Risk and Compliance Coordinator Legal and Regulatory Affairs Assistant

Diabetes is serious. It can be life-threatening, however, people with diabetes can live long, healthy lives if their condition is kept well-controlled. In this training course, we explain what diabetes is and what to look out for. We cover how it is diagnosed and how to provide care and support to a person living with diabetes.

Train the Trainer - Part 2 Course Overview: "Train the Trainer - Part 2" is designed for individuals who wish to elevate their training and presentation skills to the next level. This course offers in-depth guidance on how to maintain participant engagement, ensure clarity, and use effective communication techniques. Learners will explore advanced strategies for building rapport with their audience, refining their delivery style, and ensuring their messages are understood. By the end of this course, learners will be equipped with the tools to create more dynamic and impactful training sessions, fostering a deeper level of understanding and retention among participants. Course Description: This course delves into essential training strategies that enhance delivery and participant involvement. Learners will explore techniques for keeping the audience engaged, presenting material in a way that aids comprehension, and using non-verbal cues such as body language and tone to reinforce their message. The course covers strategies to help learners follow along, assess their understanding, and improve retention. By examining these core aspects, participants will develop advanced skills for delivering clear and memorable training. Upon completion, learners will be able to create a more effective learning environment and be prepared to engage with diverse audiences across various training settings. Train the Trainer - Part 2 Curriculum: Module 01: Introduction Module 02: Keep Them Engaged Module 03: Help Them Follow Along Module 04: Ensure They Understand Module 05: Use Effective Body Language and Tone (See full curriculum) Who is this course for? Individuals seeking to improve their training and presentation skills. Professionals aiming to enhance their teaching effectiveness. Beginners with an interest in becoming a more effective trainer. Anyone looking to engage audiences more effectively in a training environment. Career Path: Corporate Trainer Training and Development Specialist Learning & Development Coordinator Public Speaker Instructional Designer

Duration 2 Days 12 CPD hours This course is intended for This in an introductory-level course geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies. Attendees should have prior basic Python scripting experience. Students should have some familiarity with tools to be used in this course: PyCharm, Jupyter Notebook and basic GIT. Overview Working within in a hands-on learning environment students will learn to: Become proficient with pytest from day one by solving real-world testing problems Use pytest to write tests more efficiently Scale from simple to complex and functional testing Write and run simple and complex tests Organize tests in fles and directories Find out how to be more productive on the command line Markers and how to skip, xfail and parametrize tests Explore fxtures and techniques to use them effectively, such as tmpdir, pytestconfg, and monkeypatch Convert unittest suites to pytest using little-known techniques The pytest framework is simple to use but powerful enough to cover complex testing integration scenarios. PyTest is considered by many to be the true Pythonic approach to testing in Python. Geared for QA, Test team members and others who want to use the Python testing framework PyTest to implement code testing strategies, Test Automation with Python is a hands-on, two day Python testing course that provides students with the skills required to get started with PyTest right away. Participnats will learn how to get the most out of it in their daily workflow, exploring powerful mechanisms and plugins to facilitate many common testing tasks. Students will also learn how to use pytest in existing unittestbased test suites and will learn some tricks to make the jump to a pytest-style test suite quickly and easily. Python Refresher Python Overview Python Basics Python Lab Introducing PyTest Why Spend time writing test UnitTest Module Why PyTest? Introductory Lab Writing and Running Test Installing PyTest Writing and Running Tests Organizing files and packages Command Line options Configure pytest.ini Install and Config Lab Markers and Parameters Mark Basics Built-in marks Parameterization Markers and Parameters Lab Fixtures Introduction to Fixtures Sharing fixtures with conftest.py files Scopes Autouse Parameterizing fixtures Using marks from fixtures Built-in fixtures Best Practices Fixtures Lab Fixtures Lab 2 Plugins Finding and installing plugins Overview of plugins Plugin Lab From UnitTest to PyTest Use PyTest as a Test Runner Convert asserts with unitest2pytest Handling setup/teardown Managing test hierarchies Refactoring test utilities Migration strategies Additional course details: Nexus Humans Test Automation with Python (TTPS4832) 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 Test Automation with Python (TTPS4832) 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.

Equality, Diversity and Inclusion Online Training Courses Including Power Point Video's

Course Overview The “ADHD, SEN, Autism & Child Care” course bundle provides a comprehensive foundation in child psychology, special educational needs, and behavioural development, equipping learners with the theoretical knowledge needed to support children with diverse learning profiles. Through in-depth exploration of ADHD, autism, SEN coordination, and cognitive development, this course delivers a solid understanding of how to promote inclusive, supportive learning environments. Learners will gain insight into developmental psychology, behavioural management strategies, and therapeutic practices such as play therapy and CBT. Designed for those aspiring to work in educational or care-based settings, this course helps develop confidence in navigating neurodiversity and child-centred support frameworks. On successful completion, learners will be better positioned to contribute meaningfully in child care, education support, or mental health-focused roles. Course Description This course bundle covers a wide range of topics essential for understanding and supporting children with additional needs. Learners will begin with ADHD awareness and expand into SEN coordination, gaining a clear picture of how to support children with learning difficulties in educational environments. Autism training and SEN teaching assistant modules explore common challenges and support methods, while the Child Psychology and Child Development modules deepen the understanding of emotional, cognitive, and social growth. The course also includes specialised training in CBT and play therapy, providing psychological frameworks for child-focused support. Each module is designed to enhance your theoretical understanding, helping you recognise behavioural patterns, develop care strategies, and work within inclusive educational or care frameworks. This course is suitable for aspiring professionals and those already working in education, childcare, or youth support roles who want to expand their expertise in SEN and child psychology. Course Modules: Module 01: ADHD Awareness Module 02: SENCO - Special Educational Needs Coordination Course Module 03: Autism Training Module 04: SEN Teaching Assistant Module 05: Child Psychology Diploma Module 06: Child Development and Care Module 07: Cognitive Behavioural Therapy (CBT) Practitioner Certificate Course Module 08: Play Therapy (See full curriculum) Who is this course for? Individuals seeking to understand and support children with additional needs. Professionals aiming to advance their skills in educational or childcare settings. Beginners with an interest in child psychology, SEN, or developmental support. Teaching assistants, youth workers, and child care practitioners seeking career development. Career Path SEN Teaching Assistant Child Care Worker Youth Support Worker Behavioural Support Specialist Child Psychology Assistant Autism or ADHD Support Advisor Early Years Practitioner Learning Support Mentor

This is for New leaders/Managers working within early years. This programme is consists of 6 topics which all include work based projects. 1. What does good leadership look like? 2 Enhance your communication skills .3. Promoting good teamwork. 4 Managing Difficult Conversations. 5. Getting to know sector relevant documents. 6. The importance of wellbeing for yourself and for your team. This programme of training ensures new leaders are professional, knowledgeable and confident in leading teams of people.  The work based projects gives the opportunity to practise new skills and then reflect on that practise with the trainer. The programme is delivered individually for maximum impact either face to face or virtually depending on the location The trainer has 24 years experience of managing teams of people in the early years and can relate to the busy, challenging emotional environments that Early Years Leaders work in. Each session is 1.5hrs.  

Duration 5 Days 30 CPD hours This course is intended for This beginning DB2 basic course is for z/OS database administrators who need to acquire the basic skills required to administer a DB2 database in a z/OS environment. Overview Describe several services provided in a z/OS environmentExplain workloads in the batch environmentExplain workloads in the online environmentDescribe job roles in a z/OS environmentLog On to TSO/ENavigate TSO/E and ISPFUse TSO commandsSetup and utilize JCL (Job Control Language)Utilize SDSFDescribe the different types of data sets in a z/OS environmentAllocate data sets and list data set information and contentCreate and modify data set contentGive an overview of the DB2 9 environmentDescribe and utilize DB2 ObjectsDescribe and utilize several DB2 UtilitiesDescribe the DB2I (DB2 Interactive Facility) environmentUse SPUFI (SQL Processing Using File Input) to compose and execute SQLSetup and execute DB2 CommandsUnderstand DB2 LoggingDescribe DB2 program preparation processUnderstand DB2 startup and shutdownUnderstand and utilize DB2 recovery strategies This course is intended for students looking to develop fundamental skills or recognition through lectures and hands-on exercises of TSO/E and ISPF, data sets, DB2 objects, Structured Query Language, DB2 commands, JCL and SDSF. Day 1 Welcome Unit 1: Introduction Unit 2: TSO/E and ISPF Exercise 1: TSO and ISPF Exercise 1 Review Unit 3: Data Sets (Data Sets and Sequential Data Sets) Exercise 2: Sequential Data Sets Exercise 2 Review Day 2 Unit 3: Data Sets (Partitioned Data Sets) Exercise 3: Partitioned Data Sets Exercise 3 Review Unit 3: Data Sets (VSAM Data Sets) Exercise 4: VSAM Data Sets Exercise 4 Review Unit 4: JCL and SDSF Exercise 5: JCL and SDSF Exercise 5 Review Day 3 Unit 5: DB2 Relational Database Concepts Unit 6: Structured Query Language (SQL) and SPUFI Exercise 6: SQL and SPUFI Exercise 6 Review Unit 7: DB2 Objects (Databases and Table Spaces) Exercise 7: Databases and Table Spaces Exercise 7 Review Unit 7: DB2 Objects (Tables, Indexes, and Views) Exercise 8: Tables, Indexes, and Views Exercise 8 Review Day 4 Unit 7: DB2 Objects (Qualified Names, Implicit Object Creation, and SQL Statements) Exercise 9: Qualified Names, Implicit Object Creation, and SQL Statements Exercise 9 Review Unit 8: The DB2 System Exercise 10: The DB2 System Exercise 10 Review Unit 9: DB2 Commands and Program Preparation Exercise 11: DB2 Commands Exercise 11 Review Day 5 Unit 10: DB2 Utilities Exercise 12: DB2 Utilities Exercise 12 Review Unit 11: DB2 Shutdown, Startup, and Recovery Exercise 13: DB2 Recovery Exercise 13 Review Unit 12: Course Summary Additional course details: Nexus Humans CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 CV041 IBM z/OS and DB2 Basics for DB2 for z/OS DBA Beginners 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 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) 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 Applied AI: Building Recommendation Systems with Python (TTAI2360) 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.

R&D work is often carried out in entrepreneurial companies with the aim of developing solutions to scientific or technological problems for a wide range of customers. Projects can include longer term 'frontiers of science' research, medium term product development/manufacturing or more immediate troubleshooting or contract research assignments. In all these contexts, the ability to create innovative solutions in a timely and cost-effective manner is the essence of successful R&D. Whilst R&D groups typically excel in technical expertise, those involved often recognise that there is scope for improving the way that projects are managed. The aim of this training programme is to address this need whilst ensuring that the creative, entrepreneurial spirit that is fundamental to good R&D continues to flourish. MODULE 1: Creating the foundations for success Off-line video tutorials and exercises Total time ~ 1 - 1.5 hours Video 1: Making the most of project management in R&D Characterising R&D projects Applying project management to R&D work Exploiting the potential of project management in R&D Video 2: Promoting success in R&D project management Modelling successful project management Evaluating performance and promoting success The role and skills of the project manager/leader MODULE 2: Initiating and defining R&D projects Live interactive sessions (via Zoom): Session 1: 10:00 - 12:00 Session 2: 14:00 - 15:30 Session 1: Selecting and initiating projects Recognising worthwhile opportunities; initiating projects Identifying stakeholders and their goals Characterising and engaging stakeholders Session 2: Defining goals and agreeing deliverables Establishing the full scope of the project Clarifying and prioritising project deliverables Defining and agreeing deliverable specifications MODULE 3: Planning R&D projects Live interactive sessions (via Zoom): Session 1: 10:00 - 12:00 Session 2: 14:00 - 15:30 Session 1: Identifying and organising activities Creating effective plans; avoiding planning pitfalls Identifying tasks and assigning responsibilities Sequencing tasks and estimating durations Session 2: Developing the timeline and resource plan Identifying the 'critical path'; creating a resource plan Dealing with estimating uncertainty Accelerating the programme MODULE 4: Leadership and teamwork in R&D projects Off-line video tutorials and exercises Total time ~ 1 - 1.5 hours Video 1: Working effectively in project teams Building teamwork in contemporary organisations Recognising each other's skills; building synergy Building good working relationships; handling conflict Video 2: The role of the R&D project team leader Building teamwork: the role of leadership Creating an effective team culture Delegating work and motivating team members MODULE 5: Managing uncertainty in R&D projects Live interactive sessions (via Zoom): Session 1: 10:00 - 12:00 Session 2: 14:00 - 15:30 Session 1: Characterising uncertainty; identifying risks Exploring uncertainty; applying risk management Focusing the risk management process Identifying and defining risk events Session 2: Managing and controlling risks to the project Evaluating risk events Selecting between risk strategies; setting contingencies Updating and controlling exposure to risk MODULE 6: Implementing and controlling R&D projects Live interactive sessions (via Zoom): Session 1: 10:00 - 12:00 Session 2: 14:00 - 15:30 Session 1: Initiating assignments and managing changes Creating a pro-active implementation and control culture Establishing effective implementation and control procedures Assigning work and managing changes Session 2: Monitoring, managing and developing performance Adopting meaningful monitoring techniques Responding to problems; building performance Managing and controlling multiple project assignments