155 Courses in Cardiff delivered Live Online

Course Overview: This course provides in-depth knowledge of cinematography and directing, including the use of different cameras, lighting setups, metering techniques, and creative direction. Students will learn to master key elements of production and post-production processes. Hourly Session Breakdown: 8 one-hour sessions on Skype.

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

This General English tutoring course is designed for adult learners who want to improve their overall English language proficiency. Participants will focus on developing their speaking, listening, reading, and writing skills in a variety of everyday contexts. Through interactive activities, discussions, and authentic materials, learners will gain confidence and fluency in using English for both social and practical purposes. Course Duration: 12 weeks (48 sessions) Course Objectives: By the end of this course, participants will: 1. Communicate confidently and effectively in English in various everyday situations. 2. Expand vocabulary and improve language accuracy. 3. Develop listening skills to understand different accents and speech patterns. 4. Enhance reading comprehension skills for various types of texts. 5. Write accurately and coherently for different purposes. Course Outline: Week 1: Introduction to General English - Introduction to course objectives, expectations, and methodology - Assessment of participants' current language proficiency and individual learning goals - Overview of key language skills and areas of focus Week 2: Speaking and Conversation Skills - Developing oral communication skills for everyday conversations - Role-plays and discussions on common topics and situations - Enhancing fluency, pronunciation, and vocabulary in spoken English Week 3: Vocabulary Expansion - Expanding general vocabulary and idiomatic expressions - Exercises and activities to reinforce and practice new words and phrases - Incorporating vocabulary into oral and written communication Week 4: Grammar and Language Accuracy - Reviewing and reinforcing essential grammar rules and structures - Identification and correction of common errors in speaking and writing - Exercises and activities to improve language accuracy Week 5: Listening and Comprehension Skills - Developing listening skills to understand different accents and speech patterns - Authentic listening materials such as dialogues, podcasts, and videos - Strategies for understanding main ideas, details, and specific information Week 6: Reading and Comprehension Skills - Developing reading skills for different types of texts (articles, short stories, etc.) - Strategies for skimming, scanning, and understanding written information - Identifying main ideas, supporting details, and inferring meaning from context Week 7: Writing Skills: Emails and Messages - Improving writing skills for everyday correspondence (emails, messages, etc.) - Practice exercises for clarity, coherence, and appropriate tone - Polishing grammar, vocabulary, and sentence structure in written communication Week 8: Writing Skills: Informal and Formal Writing - Developing writing skills for informal and formal purposes (letters, essays, etc.) - Techniques for organising ideas, supporting arguments, and expressing opinions - Practice exercises for clarity, coherence, and appropriate style in written communication Week 9: Pronunciation and Intonation - Developing clear and accurate pronunciation skills - Focus on individual sounds, stress, rhythm, and intonation patterns - Practice exercises and activities for improved spoken English Week 10: Everyday Practical English - Enhancing language skills for everyday practical situations (shopping, dining, etc.) - Role-plays and interactive exercises for real-life communication - Polishing conversational skills, expressions, and cultural understanding Week 11: Cultural Understanding and Communication - Understanding cultural nuances in English-speaking countries - Developing intercultural communication skills for effective interactions - Practising respectful and inclusive language in diverse environments Week 12: Review and Final Evaluation - Reviewing course content and addressing individual needs - Comprehensive review exercises for all language skills - Final evaluation and feedback session Note: This syllabus is a guideline and can be customised based on the specific needs, interests, and proficiency levels of the participants. The course may also include additional topics or activities to cater to learners' specific goals or areas of interest.

Duration 45.625 Days 273.75 CPD hours Overview Live, instructor-led virtual classes: Benefit from an interactive classroom with added flexibility and convenience. Access to Red Hat certified instructors: Virtual classes are taught by the same experienced subject matter experts who lead classroom trainings. Flexible scheduling options: Various class topics and time options facilitate incorporating learning and preferences into busy schedules. Focused training sessions: Participants can narrow their learning to more specific topic areas. Choice of learning modality: A combination of self-paced materials and expert-taught classes maximizes learning. Train without traveling: Learn when, where, and how it is best for you Red Hat© Learning Subscription Premium provides a customizable learning experience with self-paced and live training options. Users can tailor their learning with recorded video classes, e-books, online content, and live virtual classes. A subscription provides access to content across the entire Red Hat product portfolio, content that is continuously updated by Red Hat experts. Live, instructor-led classes create an engaging, immersive learning experience. These interactive sessions compliment the on-demand, self-paced learning materials available with a Red Hat Learning Subscription for highly effective, flexible training for everyone from beginners to experienced professionals.This subscription provides an array of additional features to complement the learning experience. Cloud-based labs give the opportunity for hands-on practice in actual Red Hat environments. Expert extras are short, on-demand videos where Red Hat practitioners demonstrate innovative technologies in practical scenarios. Skills paths and pre-assessments are available for course selection guidance. Red Hat Learning Subscription Premium also includes certification exams. Red Hat?s exams are industry-recognized and performance-based. These exams validate that holders have the skills needed to undertake even the most ambitious technology projects. Reporting capabilities to track progress toward training and certification goals. 24x7 self-paced access to Red Hat online training and video classroom courses Content is created by Red Hat experts who build and use Red Hat technology and is directly related to Red Hat certification exams. Early access Be the first to explore in-development technology before it is officially released by accessing courses and labs in development. Cloud-based labs Get hands-on practice in authentic Red Hat environments, delivered 24x7 on six continents. Skills paths Map your learning and certification goals to one of the skills paths inside the platform to develop a strong foundation for a specific skill set. Certification exams and retakes Validate your skills through performance-based exams remotely or at a testing station. Exams can be taken when and where it's most convenient. Expert extras Red Hat field practitioners present short demo videos to supplement courses by showing innovative technologies and practices based on actual use cases. Expert chat Get direct answers and guidance from curriculum experts via a 30-minute chat session per day. Machine translations provide chat dialogue in local languages. E-book Downloads Download course e-books to continue learning offline. Reporting An individual?s dashboard provides a summary of training progress, courses and labs taken, and exam status. Management reports provide insights so a team?s engagement and progress can be measured. Globally available,translated content Access Red Hat?s most popular courses in as many as 11 languages: English, International Spanish, Brazilian Portuguese, French, Italian, German, Simplified Chinese, Korean, Japanese, Hindi, and Czech. Additional course details: Nexus Humans Red Hat Learning Subscription Premium 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 Red Hat Learning Subscription Premium 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 1 hour PECS overview provides basic information about the Picture Exchange Communication System (PECS). We begin with a brief overview of the Pyramid Approach to Education, a model commonly used to create effective educational environments. Next, each of the six phases of PECS will be described and/or demonstrated with accompanying videos illustrating PECS in action. We will discuss transitioning from PECS to other modalities, before concluding with a review and analysis of common myths associated with PECS. Please note that this is an overview only and is not intended as, nor does it replace the PECS Level 1 training workshop. Identify the purpose of PECS Identify the elements in the Pyramid Approach to Education Discuss the six phases in the PECS protocol List the criteria for transitioning from PECS to speech and/or SGD Discuss myths and facts about PECS WORKSHOP DETAILS Agenda: 1 hour Registration Time: N/A Tuition Includes: N/A

The main topics to be covered in this course are about everyday activities, family, friends, life events, remembering and forgetting, characteristics of people, holidays and more; Students practise their speaking, writing, listening and reading skills in and out of class with their teachers and classmates using their books and applications; The course is based on Ελληνικά Α and Κλικ στα Ελληνικά. In addition, there is a wide range of language material designed by the Greek LOL Teachers. All lessons are supported by educational applications to help students enrich their vocabulary and practise their Greek with fun and interactive exercises, videos and games.

Advanced Video Animation Training With Vyond Course Overview: This Advanced Video Animation Training with Vyond course is designed for individuals looking to enhance their video animation skills using Vyond, a powerful platform for creating dynamic and engaging animated videos. The course covers a wide range of advanced techniques and tools, including character design, custom animations, scene transitions, and professional video production processes. Learners will gain an in-depth understanding of the Vyond platform, enabling them to create high-quality animated content for various purposes such as marketing, education, and corporate training. By the end of the course, learners will have the skills necessary to produce polished, professional animations and effectively communicate ideas through compelling video content. Course Description: In this course, learners will dive into advanced Vyond features, mastering the art of animation design. Topics include creating custom characters, animating objects and text, using Vyond's extensive asset library, and applying advanced motion paths and transitions to bring content to life. Learners will explore techniques for creating professional-level videos for different industries, from corporate training videos to educational and promotional materials. The course also focuses on optimising content for various formats and platforms, ensuring learners can produce content suitable for social media, presentations, and more. Throughout the course, learners will develop a solid understanding of Vyond’s advanced animation capabilities, improving their ability to communicate through engaging, well-crafted videos. Advanced Video Animation Training With Vyond Curriculum: Module 01: Introduction to Advanced Vyond Features Module 02: Creating Custom Characters and Scenes Module 03: Advanced Animation Techniques Module 04: Using Motion Paths and Transitions Module 05: Video Production and Editing with Vyond Module 06: Optimising Videos for Various Platforms Module 07: Final Project: Creating a Professional Animation (See full curriculum) Who is this course for? Individuals seeking to create advanced animated videos for business or personal projects. Professionals aiming to enhance their skills in animation and video content creation. Beginners with an interest in video production or animation design. Content creators looking to produce engaging video content for digital platforms. Career Path: Animation Designer Video Production Specialist Digital Marketing Specialist Corporate Trainer (specialising in video content) Multimedia Specialist

This Renewables Technical Surveying training short two day course is specifically designed for individuals and companies that want to train themselves and their staff on exactly how to carry out Renewables Technical Site Surveying prior to any renewables installation measures, this includes for heating systems, solar systems and EV Charge point installations. The course is primarily aimed at Energy Suppliers, Equipment Manufacturers, Renewable Installers, Domestic Energy Assessors, Retrofit Assessors, Retrofit Co-ordinators, Renewables sales staff and suitable individuals with a basic level of knowledge in varying building structures, heating systems and varying renewable technologies.

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