684 Video courses in Cardiff delivered Live Online

Live online took hold in 2020 and is a highly interactive, engaging and effective training medium, if it’s done right. Let us give your staff the key skills they need to make their virtual training learner-centred, by building a psychologically safe environment plus using online training tools such as break-out rooms, slides, video and whiteboards. Courses include: Key elements of a successful live online training session Knowing your audience Technology vs technique Blended/flipped/hybrid learning Making your activities and materials online-friendly Effective planning for live online sessions Timing live online training sessions

ICA International Diploma in Anti Money Laundering -Flagship qualification This ICA Diploma in Anti Money Laundering training course is an in-depth, graduate level programme which will provide Participants with a professional qualification in anti-money laundering upon completion and helps individuals develop best practice initiatives and prepares them to face present and future challenges, reducing risk. This qualification is increasingly important for professionals as money laundering prevention remains high on the agenda for financial services professionals. This Diploma will help Participants find an integrated approach to fighting the risk is needed and knowledgeable. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Course format 9-month course assessed by 3 written assignments (3,000 - 3,500 words) A mixture of guided online study and participation in live sessions: 2 x virtual classrooms* 1 x immersive learning scenario (putting you at the centre of a story) 3 x tutorials (a chance to discuss elements of the course in more depth) 3 x assessment preparation sessions Videos covering the latest industry developments and case studies Access to the ICA members' portal containing additional reading and resources Proactive support throughout the course to help you stay on track Students of this course will achieve the following outcomes: Increased potential for career progression Extensive knowledge and highly developed AML skills Enhanced workplace performance Professional membership of the ICA Ability to reduce reputational and financial risk for the organisation On successful completion of this ICA Diploma in Anti Money Laundering training course students will be awarded an ICA Diploma in Anti Money Laundering and will be able to use the designation 'Dip.(AML)'. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. The ICA Diploma in Anti Money Laundering training course instructs students in the following areas: Anti money laundering (AML) and countering the financing of terrorism CFT in context Terrorist financing proliferation financing and sanctions Designing a comprehensive AML/CTF risk-based approach for a financial services business Risk-based customer due diligence (CDD), customer risk profiling and monitoring Governance and leadership Suspicious activity reports/ suspicious transaction reports and dealing with the authorities

Online, fully accredited training course. Complete the theory & assessment at your own pace. Followed by online live video training & online practical assessment. Launching from the 1st July 2025. Add to the waiting list today!

Online, fully accredited training course. Complete the theory & assessment at your own pace. Followed by online live video training & online practical assessment. Launching from the 1st July 2025. Add to the waiting list today!

Effective communication in the workplace is part and parcel of our daily lives, but not everyone is a natural.  Do you find it tough standing up in front of people? Does the thought of engaging with audiences in any setting fill you with anxiety? Is doing a remote video message to colleagues on Zoom or Teams a tough call? Do you do it regularly but need some professional guidance on whether it’s working? At CoComms we can improve every aspect of your performance and offer a range of tips and techniques to help manage these environments and keep your audience engaged and interested. Public Speaking and Presentation Training In a professional setting it’s vital to come across as dynamic, trustworthy, credible and real. You want people to trust you and in turn get behind your vision or plan or proposal. If you can achieve this you can improve your confidence, your engagement and your prospects. Our training is designed to hone your presentation skills so whether you are pitching for work, taking colleagues through change or speaking to a new audience, you can do it with a clarity and confidence that makes your messages clear and insightful. The training includes: Perfecting your slides Working to produce a clean, easy to navigate slide deck that give logic and flow to your presentation. Developing your storytelling We use our journalistic techniques to show you how to build a story to keep your audience engaged with a well-structured and entertaining presentation. Calls to Action Make sure it is clear what you want to achieve and what you want from your audience. Rehearse and Review We film and then playback a range of practical presentation exercises so we can review your performance and work to make any improvements. Conference and Panel Training The audience at a conference may be a captive one, but that doesn’t mean they are always listening and engaging with what you have to say. We can make sure your keynote speech or panel contribution is memorable, appreciated by your audience and beneficial to your business. Our training looks at preparing for and delivering a speech from start to finish and includes: Defining your big ideas What is it you want to say and what do you want your audience to remember? Develop your narrative and script How can you get across your message using storytelling. Choosing the right language How vibrant and energised language can make the difference in your speech. The tips and tricks to make sure your speech is memorable How vocabulary and delivery techniques ensure your words are heard. Controlling the message How to deal with unhelpful questions and return to the main aspects of your story. Stakeholder Communication Training Engaging effectively with stakeholders with clarity and confidence can make all the difference to your relationships. A successful “town hall” meeting can win over your sceptics, convince those who are unsure and build a common goal between your business and stakeholders. Our stakeholder communication training prepares you for these vital meetings and includes: Focusing the meeting We look at how to control the meeting so the important business is covered and how to prepare for any questions or comments you may receive. Keep control of the conversation We teach you conversational techniques to focus on the main points without being too assertive or dismissive. Rehearse and Review We use video and practical role-play exercises to assess your performance and look for ways to improve. Breaking down the information We look at how to present facts and figures without overwhelming (or boring!) your audience. Our techniques will help you narrate the message in a clear and comprehensive way. Making an impact Using our journalistic experience we will work with you to develop your presentation skills to make the biggest impact and demonstrate credibility and authority. Video Calls for Business The world has changed. Now is the time to ensure your business is changing too. Many in-person meetings, conferences, networking events and clients hosting are, for now, a thing of the past. These face-to-face interactions have been replaced by video calls, webinars and online events. So, how do you develop contacts, maintain relationships and manage your team in this new virtual world? How do you look and sound confident, be heard, and build trust and credibility through a computer screen? At CoComms, we are online communications experts and our years of experience in broadcasting mean we understand how to engage a virtual audience. Interactive and practical training We work with you through a variety of scenarios to analyse your performance on video calls. Feedback on your performance We offer supportive, positive feedback and share our tried and tested techniques so you can improve. Make Video Calls work for you Through our training you will become more confident, more productive and more dynamic on video calls. Contact us If you have a query regarding any of our services or would like to book a consultation for free initial advice and guidance please get in touch

Project Aware, Plastic oceans, Environmental Blue Planet

Duration 3 Days 18 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 brandnew 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 dversarial 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

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

Duration 48.125 Days 288.75 CPD hours Cisco Learning Library: Collaboration provides on-demand training to help your IT staff design, implement, manage, and troubleshoot your organization?s collaboration and video infrastructure based on Cisco collaboration and unified communications solutions.This comprehensive technical training library includes full-length interactive certification courses, product and technology courses with labs, and thousands of reference materials. Collaboration Library Certification Courses CCNP Collaboration Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Implementing Cisco Collaboration Applications (CLICA) v1.0 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) v1.0 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 CCIE Collaboration Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Product and technology training Cisco Video Infrastructure Design (VID) v1.0 Developing Applications for Cisco Webex and Webex Devices (DEVWBX) v1.0 Implementing Automation for Cisco Collaboration Solutions (CLAUI) v1.0 Implementing Cisco Advanced Call Control and Mobility Services (CLACCM) v1.0 Implementing Cisco Collaboration Applications (CLICA) v1.0 Implementing Cisco Collaboration Cloud and Edge Solutions (CLCEI) v1.0 Implementing Cisco Collaboration Core Technologies (CLCOR) v1.0 Understanding Cisco Collaboration Foundations (CLFNDU) v1.0