1246 AI courses in Cardiff delivered Live Online

Duration 4 Days 24 CPD hours This course is intended for This course is geared for attendees with Intermediate IT skills who wish to learn Computer Vision with tensor flow 2 Overview This 'skills-centric' course is about 50% hands-on lab and 50% lecture, with extensive practical exercises designed to reinforce fundamental skills, concepts and best practices taught throughout the course. Working in a hands-on learning environment, led by our Computer Vision expert instructor, students will learn about and explore how to Build, train, and serve your own deep neural networks with TensorFlow 2 and Keras Apply modern solutions to a wide range of applications such as object detection and video analysis Run your models on mobile devices and web pages and improve their performance. Create your own neural networks from scratch Classify images with modern architectures including Inception and ResNet Detect and segment objects in images with YOLO, Mask R-CNN, and U-Net Tackle problems faced when developing self-driving cars and facial emotion recognition systems Boost your application's performance with transfer learning, GANs, and domain adaptation Use recurrent neural networks (RNNs) for video analysis Optimize and deploy your networks on mobile devices and in the browser Computer vision solutions are becoming increasingly common, making their way into fields such as health, automobile, social media, and robotics. Hands-On Computervision with TensorFlow 2 is a hands-on course that thoroughly explores TensorFlow 2, the brand-new version of Google's open source framework for machine learning. You will understand how to benefit from using convolutional neural networks (CNNs) for visual tasks. This course begins with the fundamentals of computer vision and deep learning, teaching you how to build a neural network from scratch. You will discover the features that have made TensorFlow the most widely used AI library, along with its intuitive Keras interface. You'll then move on to building, training, and deploying CNNs efficiently. Complete with concrete code examples, the course demonstrates how to classify images with modern solutions, such as Inception and ResNet, and extract specific content using You Only Look Once (YOLO), Mask R-CNN, and U-Net. You will also build generative adversarial networks (GANs) and variational autoencoders (VAEs) to create and edit images, and long short-term memory networks (LSTMs) to analyze videos. In the process, you will acquire advanced insights into transfer learning, data augmentation, domain adaptation, and mobile and web deployment, among other key concepts. Computer Vision and Neural Networks Computer Vision and Neural Networks Technical requirements Computer vision in the wild A brief history of computer vision Getting started with neural networks TensorFlow Basics and Training a Model TensorFlow Basics and Training a Model Technical requirements Getting started with TensorFlow 2 and Keras TensorFlow 2 and Keras in detail The TensorFlow ecosystem Modern Neural Networks Modern Neural Networks Technical requirements Discovering convolutional neural networks Refining the training process Influential Classification Tools Influential Classification Tools Technical requirements Understanding advanced CNN architectures Leveraging transfer learning Object Detection Models Object Detection Models Technical requirements Introducing object detection A fast object detection algorithm ? YOLO Faster R-CNN ? a powerful object detection model Enhancing and Segmenting Images Enhancing and Segmenting Images Technical requirements Transforming images with encoders-decoders Understanding semantic segmentation Training on Complex and Scarce Datasets Training on Complex and Scarce Datasets Technical requirements Efficient data serving How to deal with data scarcity Video and Recurrent Neural Networks Video and Recurrent Neural Networks Technical requirements Introducing RNNs Classifying videos Optimizing Models and Deploying on Mobile Devices Optimizing Models and Deploying on Mobile Devices Technical requirements Optimizing computational and disk footprints On-device machine learning Example app ? recognizing facial expressions

This module aims to develop knowledge from research activities to gain an understanding of international trade theory, global economic development and growth, currency and exchange rates, trade policies and their impact on an organisation, free trade agreements, direct investment from financial sources outside the UK, tariffs and no trade barriers, supply chain and logistics, intercultural management and international law and treaties.

Overview This 2 day course provides a practical introduction to Interest Rate Derivatives, equipping participants with the skills to price, trade, and manage risk across financial markets. Participants will explore key pricing concepts like bootstrapping, zero-coupon curves, and forward curves, while developing risk management techniques to navigate various market scenarios. The course also covers using derivatives to express macroeconomic views, bridging theory with real-world applications. By the end, participants will have the tools and insight to confidently engage with Interest Rate Derivatives in professional settings Learning Objectives Understand how to use Interest Rate Derivatives in different roles Grasp major pricing concepts like bootstrapping, zero-coupon curve, forward curve Develop risk management techniques to manage multiple scenarios Express Macro views using derivatives Who the course is for Anyone seeking practical insights into interest rate derivatives which include: Bank traders, market makers, sales, structurers, market risk Portfolio managers, execution traders Corporate treasurers, private bankers Operations, mid and back office personnel, brokers Graduate students and aspiring professionals aiming for careers in financial markets Course Content To learn more about the day by day course content please click here To you are interested in speaking with a course specialist, you can book a meeting here

The Youth MHFA Refresher course, which needs to be done every three years to maintain accreditation, reinforces the core learning from the Youth MHFA course. Renew your skills, update your knowledge of mental health and practice applying the Youth MHFA action plan. You'll also benefit from ongoing membership of the Association of Mental Health First Aiders®.

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 This skills-focused combines 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. 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. 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 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 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.

RQF level 1 Awareness of First Aid for Mental Health Each year approximately 1 in 4 people in the UK will experience a mental health condition and at least 1 in 6 employees experience common mental health problems in the workplace. Research has shown that work is the biggest cause of stress which can stop people performing at their best. Mental health conditions are often hidden due to stigma and fear of discrimination and research has shown that a culture of fear and silence around mental health is costly to employers. The HSE guidance 'First aid needs assessment’ refers to mental health in the workplace. This 4-hour qualification provides learners with the knowledge to recognise a range of mental health conditions, how to start a supportive conversation and when and how to signpost a person to seek appropriate professional help. Learners will know how to recognise and manage stress. Learners will not diagnose or treat mental health conditions as this can only be carried out by healthcare professionals but will gain the knowledge to identify when a person may have a condition and know where they can go to get help. Suitability - Who should attend? Here are some examples of who may benefit from attending the RQF Level 1 Award in Awareness of First Aid for Mental Health: Employees and workers: This course is relevant for individuals in any industry who may encounter colleagues or clients experiencing mental health difficulties. It can be particularly valuable for human resources personnel, line managers, supervisors, or team leaders responsible for the well-being of employees. Teachers and educators: Professionals working in schools, colleges, or other educational institutions can benefit from this training to better understand and support the mental health needs of students. Healthcare and social care workers: Individuals working in healthcare or social care settings, such as nurses, care assistants, support workers, or counsellors, can enhance their understanding of mental health issues and improve their ability to provide appropriate support. Community and voluntary workers: People involved in community or voluntary organizations, including youth workers, social workers, volunteers, or community leaders, can gain valuable insights into mental health awareness and support. Personal relationships and caregivers: The Level 1 training can also be beneficial for individuals who have personal relationships with someone experiencing mental health challenges. This may include family members, friends, or caregivers who want to enhance their understanding and offer appropriate assistance. It is important to note that the Level 1 Award in Awareness of First Aid for Mental Health RQF is an introductory course and does not qualify participants to provide formal mental health interventions or therapy. However, it serves as a foundation for further training and can contribute to creating a more mentally healthy and supportive environment in various settings. Outcome / Qualification etc. Upon successful completion of the RQF Level 1 Awareness of First Aid for Mental Health course, participants can expect to achieve the following outcomes: Increased Awareness and Understanding: Participants will develop a basic awareness and understanding of mental health and mental health issues. They will gain knowledge about common mental health conditions, their signs and symptoms, and the importance of mental health in overall well-being. Recognition of Mental Health Signs: Participants will learn to recognize common signs of mental health issues in themselves and others. They will gain an understanding of the importance of early identification and intervention in promoting mental health and seeking appropriate support. Reduced Stigma and Improved Attitudes: The course aims to challenge stigmas and stereotypes associated with mental health. Participants will develop a more empathetic and supportive attitude towards individuals experiencing mental health challenges, promoting a positive and inclusive environment. Enhanced Communication Skills: Participants will learn basic communication skills for engaging with individuals experiencing mental health issues. They will gain an understanding of the importance of active listening, empathy, and non-judgmental communication in providing initial support. Signposting and Seeking Help: Participants will be equipped with knowledge about available resources, services, and support networks for mental health. They will learn about signposting individuals to appropriate professional help and self-help resources. Self-Care and Well-being Strategies: The course may provide participants with practical strategies for maintaining their own mental well-being. They may learn basic self-care techniques and stress management strategies to support their own mental health. Certificate of Completion: Upon successful completion of the course, participants will receive a certificate indicating their achievement of the RQF Level 1 Awareness of First Aid for Mental Health qualification. It's important to note that the Level 1 course provides a basic introduction to mental health awareness and first aid. It is not intended to provide participants with the qualifications or skills to diagnose or treat mental health conditions. Instead, it aims to promote mental health literacy, reduce stigma, and provide individuals with the knowledge to offer initial support and signposting to individuals in need. The Level 1 course can serve as a foundation for further learning and progression in the field of mental health. Individuals may choose to pursue higher-level courses or qualifications to develop more advanced skills and knowledge in mental health first aid or other related areas. Training Course Content MODULE 1 INTRODUCTION Session content Trainer/assessor introduction Learner introductions Course information • Administration • Learning outcomes and assessment criteria • Reasonable adjustments • Certification • Complaints and appeals • Assessment information Session duration 15 minutes MODULE 2 WHAT IS FIRST AID FOR MENTAL HEALTH? Session content Definitions Role and responsibilities of a First Aider The impact of mental health issues Mental health stigma Statistics Session duration 25 minutes MODULE 3 IDENTIFYING MENTAL HEALTH CONDITIONS Session content Mental health continuum Mental health risk factors Early warning signs Session duration 25 minutes MODULE 4 PROVIDING ADVICE AND STARTING A CONVERSATION Session content How to start a difficult conversation Non-judgemental listening skills When to contact the emergency services The First Aider’s own health and emotions Session duration 40 minutes MODULE 5 STRESS Session content What is stress? Causes of stress Effects of stress Coping strategies Session duration 25 minutes MODULE 6 MENTAL HEALTH CONDITIONS Session content Depression Anxiety Psychosis Eating disorders Suicide Self-harm Session duration 70 minutes MODULE 7 ASSESSMENT AND COURSE CLOSURE Session content Written assessment paper Course administration Course closure Session duration 40 minute Course delivery details Classroom-Based A minimum of 4 hours spread over at least one day. Ideally, the course should be run in one day, but must be completed within 2 weeks of starting the course, with each training session a minimum of two hours. Online/Virtual classroom The qualification has 2 assigned guided learning hours (GLH) and 5 hours total qualification time (TQT). GLH indicates the number of contact hours that the learner will have with the trainer/assessor. TQT includes GLH but considers unsupervised learning and is an estimate of how long the average learner will take to achieve the qualification. Why choose Madeleys First Aid Plus Founded in 2021 after Louise left 30 years in the NHS as an Advanced practitioner in A&E/ITU, had spent 1.5 years in Covid ITU Won FSB Best start-up business in the West Midlands in May 2023 Now trained 100's of delegates in Physical and Mental Health First Aid Expenses Travel costs and lunch required, there are many cafes and sandwich bars here in Much Wenlock to buy your lunch, you may eat it in the training room. All training material, books, qualification certificates are included in the price. Continuing Studies After completing the RQF Level 1 Awareness of First Aid for Mental Health course, individuals can consider various progression options to further their knowledge and skills in mental health support. Here are some potential pathways: RQF Level 2 Award in First Aid for Mental Health: This qualification builds upon the knowledge gained in the Level 1 course and provides a more comprehensive understanding of mental health issues and how to provide appropriate support. It covers topics such as recognizing mental health conditions, promoting well-being, and providing initial support to those in crisis. RQF Level 3 Award in Supervising First Aid for Mental Health: For individuals who aspire to take on leadership or supervisory roles in mental health support, the Level 3 qualification is a logical progression. It provides in-depth knowledge and skills to supervise and manage a team of individuals providing first aid for mental health. Continued Professional Development (CPD): Engaging in ongoing CPD activities is essential for staying updated with the latest developments in mental health support. Individuals can attend workshops, seminars, or conferences related to mental health, trauma, or specific areas of interest within the field. Applied Practice: Applying the knowledge gained from the Level 1 course in real-world settings is crucial for developing practical skills. Individuals can seek opportunities to work or volunteer in environments where mental health support is needed, such as community organizations, schools, or helplines. Mental Health Support Training Programs: There are various specialized training programs available that focus on specific aspects of mental health support, such as suicide prevention, trauma-informed care, or supporting individuals with specific mental health conditions. These programs can provide individuals with additional expertise and deepen their understanding of specific areas within mental health support. Higher Education: Individuals who wish to pursue a more in-depth study of mental health can consider higher education programs in psychology, counseling, social work, or related fields. These programs provide comprehensive knowledge and training in mental health support and may lead to professional certifications or degrees. It's important for individuals to research and explore progression options that align with their specific career goals, interests, and local requirements. Different countries or regions may have varying certification or training requirements for mental health support roles, so it's advisable to check with relevant regulatory bodies or professional associations for specific guidance.

Duration 1.5 Days 9 CPD hours This course is intended for This course is intended for individuals who want to gain basic knowledge communicating, etiquette, professionalism and time management for the office environment. Overview Upon successful completion of this course, students will be able to communicate, be professional and manage their time effectively in a business environment. In this course, students will learn how to communicate, act and manage time effective in a business environment. Getting Started Icebreaker Housekeeping Items The Parking Lot Workshop Objectives The Big Picture What is Communication? How Do We Communicate? Other Factors in Communication Understanding Communication Barriers An Overview of Common Barriers Language Barriers Cultural Barriers Differences in Time and Place Paraverbal Communication Skills The Power of Pitch The Truth about Tone The Strength of Speed Non-Verbal Communication Understanding the Mehrabian Study All About Body Language Interpreting Gestures Speaking like a Star S = Situation T = Task A = Action R = Result Summary Listening Skills Seven Ways to Listen Better Today Understanding Active Listening Sending Good Signals to Others Asking Good Questions Open Questions Closed Questions Probing Questions Appreciative Inquiry The Purpose of AI The Four Stages Examples and Case Studies Mastering the Art of Conversation Level One: Discussing General Topics Level Two: Sharing Ideas and Perspectives Level Three: Sharing Personal Experiences Our Top Networking Tips Advanced Communication Skills Understanding Precipitating Factors Establishing Common Ground Using ?I? Messages Wrapping Up Words from the Wise Review of Parking Lot Lessons Learned Completion of Action Plans and Evaluations Principles of Professional Behavior Always be Your Best Meeting and Greeting Sending Social Invitations to Business Associates Interview Etiquette Interviewing Before the Interview In the Waiting Room During the Interview After the Interview Job Fair Interviews Planning & Attending Business Meetings Office Meetings Meal Meetings Electronic Etiquette Voicemail Cell Phones Email Multiculture Etiquette Defining the Challenge Five Steps to Dealing with Diversity Guidelines for Managing Diverse Relationships Time Management Concepts Benefits of better time utilization Who controls your schedule? Your Job: What You Are Responsible for Accomplishing? Your job responsibilities Setting objectives Setting priorities How to Use Your Time Gathering data-the time log Analyzing the data Delegation: Working Through Others Why some people don't delegate Levels of delegation How to delegate Benefits of delegation Getting started Planning: Keys to Achievement Planning: Keys to Achievement Coping with Common Time Wasters Coping with self-generated time wasters Coping with environmental time wasters Personal Needs that Get in the Way of Effective Time Utilization Needs profile analysis Self-assessment questionnaire Applying needs assessment results Planning for Improvement Six tips for effective time management Planning for improved time utilization Follow-Up: Staying on Track Time savings progress report Time savings progress chart Time management progress survey Additional course details: Nexus Humans Business Soft Skills 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 Business Soft Skills 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.

This training is for lawyers who may come into contact with vulnerable people through their work. In particular, it is aimed at those who hold legal aid contracts and must meet the requirements of the Specialist Quality Mark (SQM) standard in respect of safeguarding. Everyone has the right to be kept safe from harm, abuse or neglect. We all have obligations to ensure that vulnerable people are protected and that we have appropriate procedures in place to ensure that abuse is identified and reported.  We will help you to understand the following; What is safeguarding? The different types of abuse Example signs of abuse, harm and neglect What action should be taken if abuse is suspected The SQM requirements What a Safeguarding Policy should include Target Audience The online course is suitable for staff of all levels, from support staff to senior partners and is aimed at firms maintaining or wishing to obtain the Specialist Quality Mark. Resources Comprehensive and up to date course notes will be provided to all delegates which may be useful for ongoing reference or cascade training. Please note a recording of the course will not be made available. Speaker Amie Higgins, Consultant, DG Legal Amie is a Senior Solicitor, qualified under the Law Society’s Immigration & Asylum Accreditation Scheme (IAAS) as an Advanced Caseworker and Supervisor. Amie specialises in all aspects of Immigration, Asylum and Human Rights work, with a specialism in human trafficking/modern slavery cases and working with vulnerable clients. Amie is an experienced trainer, delivering a range of training on both legal and practice management topics.

Learn how to use this innovative tool to analyse and validate your schedule, to add and model uncertainty and risk and to work with updated plans to compare project progress. Course overview Duration: 1 day (6.5 hours) This course looks at the powerful features of Nodes and Links. It looks at analysing and validating your schedule, adding uncertainty and risk and working with updated plans to compare project progress. Hands on practice will be gained throughout the course to ensure you can confidentially put your new skills into practice back in the workplace. This course is designed for new users of Nodes and links, no previous experience is required. You should however be familiar with risk management processes and terminology. Objectives  By the end of the course you will be able to: Import and validate plans Analyse and review plans Add and model uncertainty Add and model risk Load updated schedules Re run analysis on updated schedules Content Validating your plan Importing a baseline plan Running a health check Analysing the results Reviewing the plan Analysing critical paths Reviewing activities Reviewing resources Adding Uncertainty Setting uncertainty templates Distributions Adding uncertainty Using Inherit Using AI Reviewing activity distributions Modelling Uncertainty Running the Analysis Reviewing the results Reviewing activity results Risk Drivers Filtering for activities Setting up the Risk Register Setting Risk Templates Adding Risks to the Risk Register Independent vs Dependant Events Setting Probability and Impact Modelling Uncertainty and Risk Mapping risks to activities Running the Analysis Reviewing the results Updated Plans Importing a new plan version Comparing plans Tracking progress Trend analysis Analysing Updated Plans Using updated plans Synchronising uncertainly and risk Rerunning analysis

This course will show delegates how to appraise projects in Excel, incorporate and communicate updates as they happen and ultimately understand how to convert an opportunistic property investment into a core asset that can be sold on.