Go hands-on and create a fully functional, low-maintenance, modern responsive website using HTML5, CSS3, and JavaScript. No WordPress, no Bootstrap, no jQuery no libraries of any kind. Learn to share header, nav, and footer HTML code across web pages using PHP, which most web hosting providers include for free. You'll learn to choose fonts, a color scheme, create a header, nav bar, and footer, make the site responsive so it looks and works as well on phones and mobile devices as it does on larger screens. Use free FontAwesome fonts to add social media icons and stylized lists to your site. Create your own media cards, and learn some tricks for modernizing your HTML form controls. What Will I Learn? Create a modern responsive website using just HTML5, CSS3, and JavaScript - and perhaps a few lines of PHP code if you're like to share header, nav, and footer content across pages. Requirements Some hands-on experience with basic HTML and CSS and a code editor. Basic file and folder skills for Mac or Windows. Who is the target audience? People learning web development who want to focus on the core front-end languages HTML5, CSS3, and JavaScript WITHOUT Bootstrap, jQuery, or other libraries. Beginning developers looking to create great, low-maintenance websites for themselves or others. Developers who are looking for easy ways to share content, like header, nav, and footer HTML code, across pages. Get Started What This is About 00:05:00 Start Building 00:18:00 Choose Your Fonts 00:05:00 Choose Your Color Scheme 00:05:00 Create the Nav Bar 00:11:00 Add a Page Footer 00:08:00 Beyond the Basic Structure Style the Body Content 00:05:00 Make it Responsive 00:10:00 Activate the Hamburger Menu 00:17:00 Make it Professional with Animations 00:04:00 Share Content Across Pages Why Share Content Across Pages? 00:08:00 Install AMPPS - Windows 00:11:00 Install AMPPS - Mac 00:13:00 Break Out the Shared Content 00:10:00 Professional-Grade Touches External JavaScript and Meta Tags 00:07:00 Adding More Pages to the Site 00:06:00 Highlight the Current Page in the Nav Bar 00:14:00 More Body Text Styling 00:10:00 Creating the Media Cards 00:13:00 Styling Lists 00:09:00 Styling Form Controls 00:15:00
Leverage pytest's fast, scalable, and professional-grade framework design to build and run automated test suites like a pro
Adobe Authorised Training Centre. Classroom based course with study materials and certificate of completion included. Apple Final Cut Pro X is a revolutionary video editing application that makes it possible for beginners and seasoned professionals to achieve stunning results. This one day workshop introduces students to the primary feature set and functionality of Final Cut Pro X. Students will learn to perform a range of editing functions while familiarising themselves with the user interface. Description Completing this course will enable you to do the following and more: Become familiar with the Final Cut Pro User interface Learn Workflow & Media Management Understand Events and Projects Organise your files and your system Use Keywords and Ratings Import, Edit, and Trim video Mark clips Use Trimming techniques Learn Ripple, Roll and Extended edits Use the Slip and Slide tools Perform Transitions and Effects Use and modify transitions Apply filters Use Colour Balancing to improve images Edit Audio and use filters Finishing and final output 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 Final Cut Pro X from scratch or wants to improve their existing knowledge of the program. Requirements Attendees should have basic Mac skills. You will need a free Zoom account to participate in this live online course. Certificates Certificate of completion Digital certificate - Included
Know Selenium WebDriver concepts, but need to know how to build a framework by putting together all the knowledge? Are you a quality assurance automation professional willing to intensify your current test automation skill sets? Are you looking to step into the automation industry with the latest technologies in the market? If the answer is yes, then this course is for you.
Film and VFX face to face training customised and bespoke. One to One Online or Face to Face
Duration 4 Days 24 CPD hours This course is intended for This course is designed for data scientists with existing knowledge of Python and machine learning frameworks like Scikit-Learn, PyTorch, and Tensorflow, who want to build and operate machine learning solutions in the cloud. Overview Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring in Microsoft Azure. Learn how to operate machine learning solutions at cloud scale using Azure Machine Learning. This course teaches you to leverage your existing knowledge of Python and machine learning to manage data ingestion and preparation, model training and deployment, and machine learning solution monitoring with Azure Machine Learning and MLflow. Prerequisites Creating cloud resources in Microsoft Azure. Using Python to explore and visualize data. Training and validating machine learning models using common frameworks like Scikit-Learn, PyTorch, and TensorFlow. Working with containers AI-900T00: Microsoft Azure AI Fundamentals is recommended, or the equivalent experience. 1 - Design a data ingestion strategy for machine learning projects Identify your data source and format Choose how to serve data to machine learning workflows Design a data ingestion solution 2 - Design a machine learning model training solution Identify machine learning tasks Choose a service to train a machine learning model Decide between compute options 3 - Design a model deployment solution Understand how model will be consumed Decide on real-time or batch deployment 4 - Design a machine learning operations solution Explore an MLOps architecture Design for monitoring Design for retraining 5 - Explore Azure Machine Learning workspace resources and assets Create an Azure Machine Learning workspace Identify Azure Machine Learning resources Identify Azure Machine Learning assets Train models in the workspace 6 - Explore developer tools for workspace interaction Explore the studio Explore the Python SDK Explore the CLI 7 - Make data available in Azure Machine Learning Understand URIs Create a datastore Create a data asset 8 - Work with compute targets in Azure Machine Learning Choose the appropriate compute target Create and use a compute instance Create and use a compute cluster 9 - Work with environments in Azure Machine Learning Understand environments Explore and use curated environments Create and use custom environments 10 - Find the best classification model with Automated Machine Learning Preprocess data and configure featurization Run an Automated Machine Learning experiment Evaluate and compare models 11 - Track model training in Jupyter notebooks with MLflow Configure MLflow for model tracking in notebooks Train and track models in notebooks 12 - Run a training script as a command job in Azure Machine Learning Convert a notebook to a script Run a script as a command job Use parameters in a command job 13 - Track model training with MLflow in jobs Track metrics with MLflow View metrics and evaluate models 14 - Perform hyperparameter tuning with Azure Machine Learning Define a search space Configure a sampling method Configure early termination Use a sweep job for hyperparameter tuning 15 - Run pipelines in Azure Machine Learning Create components Create a pipeline Run a pipeline job 16 - Register an MLflow model in Azure Machine Learning Log models with MLflow Understand the MLflow model format Register an MLflow model 17 - Create and explore the Responsible AI dashboard for a model in Azure Machine Learning Understand Responsible AI Create the Responsible AI dashboard Evaluate the Responsible AI dashboard 18 - Deploy a model to a managed online endpoint Explore managed online endpoints Deploy your MLflow model to a managed online endpoint Deploy a model to a managed online endpoint Test managed online endpoints 19 - Deploy a model to a batch endpoint Understand and create batch endpoints Deploy your MLflow model to a batch endpoint Deploy a custom model to a batch endpoint Invoke and troubleshoot batch endpoints
Personalized SketchUp Training: Pay-As-You-Go One-to-One Sessions
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