Live online course with study materials and certificate of completion included Adobe Dreamweaver is an industry leading web design and HTML editor software. First-time Dreamweaver users may feel overwhelmed by the amount of options, panels and menus across the interface, but our Dreamweaver course will quickly familiarise you with the layout giving you access to advanced controls over CSS elements, and the ability to view how a webpage will look when displayed on different size device screens. Our one day Adobe Dreamweaver course will enable you to build and manage professional, well designed and standards compliant websites using the software. HTML and CSS concepts are covered. Description Completing this course will enable you to do the following and more: Become familiar with the Adobe Dreamweaver Interface Understand Site management Create a website Work with multiple pages Use and understand Cascading Style Sheets Work with graphics Create hyperlinks Learn how to best organise pages for logical site structure Use best practice and SEO considerations UCreate and use templates Understanding accessibility 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 wishes to learn how to use Adobe Dreamweaver. No previous knowledge or experience of Dreamweaver 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
Join our Immediate Life Support (ILS) Course for healthcare professionals. Learn essential skills like CPR, airway management, AED use, and more, following Resuscitation Council UK guidelines. Gain a CPD-accredited certificate online after successful completion. Ideal for nurses, healthcare assistants, paramedics, and clinical staff to enhance emergency response skills.
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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
Birth Right Hypnobirthing is a full antenatal birth preparation course for pregnancy. Particularly useful for those who are scared of giving birth. Whether this is your first or tenth baby this information is essential. Whether you're looking for a natural birth or support for your caesarean birth this course will support you and give you the tools for the best birth for you.
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
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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
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.
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