2629 Courses in Cardiff delivered Live Online

Live online course with study materials and certificate of completion included This HTML course will provide you with an easy to follow, hands-on introduction to HTML and CSS, the basic coding languages which drive the internet. Participants will learn how to create an attractive and well-structured web page using basic HTML and CSS. This workshop is highly recommended for anyone wishing to learn how to create websites and also for people who already use applications such as Dreamweaver or WordPress and need more control over their web output. Resources Introduction to HTML & CSS Course Information Description Completing this course will enable you to do the following and more: Understand what HTML and CSS are and how they work together Learn basic HTML elements Learn how to create hyperlinks Work with images Use DIVs, forms and lists to arrange content Create page structure Use Cascading Style Sheets to control the layout and look of HTML elements Use Developer Tools to preview CSS changes Know how and when to use Inline CSS Create code that is both readable, compliant with HTML5 standards Understand what makes good SEO For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone with basic PC or Mac skills who wants to understand how the web works. No previous knowledge or experience of HTML or CSS is necessary. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included

Live online course with study materials and certificate of completion included Adobe After Effects is recognised as an essential tool for motion graphics and visual effects. Our introductory Adobe After Effects course is designed for those new to post-production techniques, and would like to get the most from this immensely powerful application. Whether you are a motion graphics designer, a web designer, rich media artist or broadcast video editor, this course covers all the techniques you need to successfully start using, or significantly improve your command over, Adobe After Effects. Description Completing this course will enable you to do the following and more: Become familiar with the After Effects workspace Create animations using keyframes Understand keyframe interpolation and velocity Work with the graph editor to fine tune animations Work with Solid, Text and Null layers Work with masks, mattes and track mattes Create Compositions Incorporate video with Photoshop and Illustrator. Use video layering with transfer and blending modes Use Motion Tracker and 3D Camera Tracker Apply and animate Effects Use Colour Correction / Glows + Curves Use filters for special effects Render your final project For the full course content please download the course information pdf listed above. Who is this course for? This workshop is suitable for anyone who wishes to learn Adobe Afer Effects from scratch or wants to improve their existing knowledge of the program. Requirements Attendees should have basic PC or Mac skills. You will need a broadband internet connection to participate in this live online course. Certificates Certificate of completion Digital certificate - Included

This Python Machine Learning online instructor led course is an excellent introduction to popular machine learning algorithms. Python Machine Learning 2-day Course Prerequisites: Basic knowledge of Python coding is a pre-requisite. Who Should Attend? This course is an overview of machine learning and machine learning algorithms in Python SciKitLearn. Practical: We cover the below listed algorithms, which is only a small collection of what is available. However, it will give you a good understanding, to plan your Machine Learning project We create, experiment and run machine learning sample code to implement a short selected but representative list of available the algorithms. Course Outline: Supervised Machine Learning: Classification Algorithms: Naive Bayes, Decision Tree, Logistic Regression, K-Nearest Neighbors, Support Vector Machine Regression Algorithms: Linear, Polynomial Unsupervised Machine Learning: Clustering Algorithms: K-means clustering, Hierarchical Clustering Dimension Reduction Algorithms: Principal Component Analysis Latent Dirichlet allocation (LDA) Association Machine Learning Algorithms: Apriori, Euclat Other machine learning Algorithms: Ensemble Methods ( Stacking, bagging, boosting ) Algorithms: Random Forest, Gradient Boosting Reinforcement learning Algorithms: Q-Learning Neural Networks and Deep Leaning Algorithms: Convolutional Network (CNN) Data Exploration and Preprocessing: The first part of a Machine Learning project understands the data and the problem at hand. Data cleaning, data transformation and data pre-processing are covered using Python functions to make data exploration and preprocessing relatively easy. What is included in this Python Machine Learning: Python Machine Learning Certificate on completion Python Machine Learning notes Practical Python Machine Learning exercises and code examples After the course, 1 free, online session for questions or revision Python Machine Learning. Max group size on this Python Machine Learning is 4. Refund Policy No Refunds

This Level 3 Apprenticeship has been designed for individuals wishing to start or advance their skills in first-line management, and will equip them with the knowledge and understanding needed to effectively provide direction, instructions and guidance to ensure the achievement of set goals.

bi-monthly online group for supervisors of counsellors, psychotherapists or coaches who want a reflective space to discuss your supervision practice with other supervisors

Python Machine Learning algorithms can derive trends (learn) from data and make predictions on data by extrapolating on existing trends. Companies can take advantage of this to gain insights and ultimately improve business. Using Python Machine Learning scikit-learn, practice how to use Python Machine Learning algorithms to perform predictions on data. Learn the below listed algorithms, a small collection of available Python Machine Learning algorithms.

Join us for this exciting online event where you can gain a Level 4 Award in Understanding the External Quality Assurance of Assessment Processes and Practice. Whether you're new to the field or looking to enhance your skills, this event is perfect for you.

P405 Managing Asbestos in Buildings is the industry standard qualification for those whose work involves asbestos management, such as duty holders and building managers. In addition to holding the qualification, they are required to undertake and provide evidence of annual refresher training. RP405 Refresher is a new course, specifically designed to meet this requirement. RP405 Refresher enables candidates to revise and update their knowledge on good asbestos management practices, and to receive a certificate of course completion by passing a written examination, which covers both the theory and practice of managing asbestos in buildings.

The Designated Safeguarding Lead Advanced Course is an expert-led update and refresher course for school and college DSLs and their Deputies. It is an extensive, authoritative and highly rated, full-day training course that ensures DSL/DDSLs have the most comprehensive, effective and up-to-date knowledge and strategies in place to lead the safeguarding provision in their setting.

3ds Max and Vray Training 1-2-1