662 Video courses in Smethwick delivered Live Online

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

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This Level 4 course aims to equip professionals with the knowledge about the skills and practical behaviours which are required for them to step into a leadership/management role. The demand for management roles is expected to grow in the coming years. This is due to a number of factors, including: The ageing population, which is leading to a shortage of skilled workers. The increasing complexity of businesses requires more managers to oversee operations. The growing importance of technology is creating new opportunities for managers to lead and innovate.

Who is this course for? The Diploma in Visual Effects for Film and Television Animation is tailored for individuals aspiring to work in the Visual Effects, TV, Film, and 3D animation industry. Gain essential skills necessary for a successful career in these fields. Click here for more info: Website Duration: 120 hours of 1-on-1 Training. When can I book: 9 am - 4 pm (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking).  Course Overview for a 120-Hour Diploma Program in Game Design and Development Term 1: Introduction to Game Design and 3D Modeling (40 hours) Module 1: Introduction to Game Design (1 hour) Understanding the game development industry and current trends Exploring game mechanics and fundamental design principles Introduction to the game engines and tools utilized in the program Module 2: 3D Modeling with 3ds Max (25 hours) Familiarization with 3ds Max and its user interface Mastering basic modeling techniques like box modeling and extrusion Advanced modeling skills including subdivision and topology Texturing and shading techniques tailored for game development Module 3: Character Design and Animation (10 hours) Introduction to character design and its developmental process Creating and rigging characters specifically for games Keyframe animation techniques for character movement Term 2: Game Development and Unity 3D (40 hours) Module 4: Unity 3D Basics (20 hours) Navigating Unity 3D and understanding its interface Grasping fundamental game development concepts within Unity Creating game objects, writing scripts, and designing scenes Introduction to scripting using C# Module 5: Advanced Game Development with Unity 3D (10 hours) Constructing game mechanics including UI, scoring, and game states Working with physics and collision systems in Unity Crafting intricate game environments and level designs Module 6: Game Assets with Photoshop (10 hours) Exploring Photoshop tools and features for game asset creation Crafting game elements such as textures, sprites, and icons Optimizing assets for seamless integration into game development Term 3: Advanced Game Design and Portfolio Development (40 hours) Module 7: Advanced Game Design (20 hours) Delving into advanced game design concepts like balancing and difficulty curves Understanding player psychology and methods for engaging audiences Implementing game analytics and user testing for refinement Module 8: Portfolio Development (24 hours) Building a comprehensive portfolio showcasing acquired skills Effective presentation techniques for showcasing work Establishing a professional online presence and networking strategies Final Project: Creating and presenting a collection of best works in collaboration with tutors and fellow students Please note: Any missed sessions or absence without a 48-hour notice will result in session loss and a full class fee charge due to the personalized one-to-one nature of the sessions. Students can request pauses or extended breaks by providing written notice via email. What can you do after this course: Software Proficiency: Master industry-standard design tools for architectural and interior projects. Design Expertise: Develop a deep understanding of design principles and spatial concepts. Visualization Skills: Acquire advanced 2D/3D rendering and virtual reality skills for realistic design representation. Communication and Collaboration: Enhance communication skills and learn to collaborate effectively in design teams. Problem-Solving: Develop creative problem-solving abilities for real-world design challenges. Jobs and Career Opportunities: Architectural Visualizer Interior Designer CAD Technician Virtual Reality Developer 3D Modeler Project Coordinator Freelance Designer Visualization Consultant Students can pursue these roles, applying their expertise in architectural and interior design across various professional opportunities. Course Expectations: Maintain a dedicated notebook to compile your study notes. Schedule makeup sessions for any missed coursework, subject to available time slots. Keep meticulous notes and maintain a design folder to track your progress and nurture creative ideas. Allocate specific time for independent practice and project work. Attain certification from the esteemed professional design team. Post-Course Proficiencies: Upon successful course completion, you will achieve the following: Develop confidence in your software proficiency and a solid grasp of underlying principles. Demonstrate the ability to produce top-tier visuals for architectural and interior design projects. Feel well-prepared to pursue positions, armed with the assurance of your software expertise. Continued Support: We are pleased to offer lifetime, complimentary email and phone support to promptly assist you with any inquiries or challenges that may arise. Software Accessibility: Access to the required software is available through either downloading it from the developer's website or acquiring it at favorable student rates. It is important to note that student software should be exclusively utilized for non-commercial projects. Payment Options: To accommodate your preferences, we provide a range of payment options, including internet bank transfers, credit cards, debit cards, and PayPal. Moreover, we offer installment plans tailored to the needs of our students. Course Type: Certification. Course Level: Basic to Advanced. Time: 09:00 or 4 pm (You can choose your own day and time once a week) (Monday to Friday, 09 am to 7 pm, you can choose anytime by advance booking. Weekends can only be 3 to 4 hrs due to heavy demand on those days). Tutor: Industry Experts. Total Hours: 120 Price for Companies: £3500.00 (With VAT = £4200) For Companies. Price for Students: £3000.00 (With VAT = £3600) For Students.

Duration 5 Days 30 CPD hours This course is intended for This class is targeted towards the professional developer new to HTML, self-taught HTML developers, graphics designers and those new to HTML development. Overview After completing this course, you will be able to: Create HTML5 compliant web pages. Test and validate HTML and CSS code. Create CSS for style pages. Work with experimental vendor prefixes. Work with fonts and CSS font effects. Work with color and color tools. Layout pages and content using DIVs, iFrames and Tables. Add and format images and CSS sprites. Create HTML5 forms. Embed and manage video and audio content. This course is an in-depth hands-on study of HTML5, CSS3 and modern web and mobile development. The course includes detailed hands-on labs and Q&A labs. The labs include multiple projects, including one beginning to end web site.This material updates and replaces course Microsoft course 20480 which was previously published under the title Programming in HTML5 with JavaScript and CSS3. Module 1: A Brief History of HTML and the Web Welcome! History Details, Details, Details? The Life of a Web Page HTTP Status Codes Definitions Most Important Things to Know as a Web Developer Module 2: Core HTML Elements HTML and CSS Editors Text, Spaces and Tabs Working with Tags Attributes Comments Non-Standard Tags Every Page Includes? File Extensions Core Page Elements Nesting Testing HTML HTML and Text Module 3: Cascading Style Sheets Before CSS With CSS Cascading Style Sheets (CSS) Adding CSS to a Page Order of CSS Processing Experimental Vendor Prefixes CSS Units The CSS Box Mode Module 4: Fonts and Text Fonts CSS for Text CSS Text Ticks! Working with Lists Upgrading and to Windows 7 Module 5: Colors and Backgrounds Specifying Colors Applying Colors Gradients Module 6: Anchors and Hyperlinks HTML and CSS Hyperlinks with Images and Other Objects Buttons Module 7: Page Layout Page Layout Options Tables for Data DIVs Float SPAN HTML 5 DIV-like Tags IFRAMES Module 8: Images Favicon Preparing Images Image Files The IMG Tag Background Images Image Best Practices CSS Sprites Module 9: HTML Forms A Basic Form POST vs. GET name vs. id Basic Form Elements Basic Form Attribute Select Uploading Files HTML 5 Form Enhancements DataList Module 10: Multimedia Video and Audio HTML 5 Video CSS JavaScript Audio Hosting Videos in the Cloud Working with Animated GIFs

Duration 2 Days 12 CPD hours This course is intended for The primary audience for this course is as follows: System engineers Technical support personnel Channel partners and resellers Overview Upon completion of this course, the learner should be able to meet the following objectives: Installing a Cisco Meeting Server in a single combined deployment Installing a Cisco Meeting Server in a single split deployment Troubleshooting tools Integrating Cisco Meeting Server with Cisco TelePresence Video Communication Server (VCS), Cisco Unified Communications Manager and Microsoft Skype for Business In this course, you will learn how to install, troubleshoot, and maintain a single server and single server split deployment of Cisco Meeting Servers This course is designed to establish a minimum level of knowledge and competency among Cisco Meeting Server resale and installation partners. The recently purchased Acano collaboration hardware and software includes video and audio-bridging technology that allows customers to connect video systems from multiple vendors across both cloud and hybrid environments. Cisco has incorporated Acano collaboration technologies into the new Meeting Server tool. Module 1: Cisco Meeting Server Single Server Solution Cisco Meeting Server Solution Reviewing Authentication and Encryption Single Server Solution Preparing for Cisco Meeting Server Installation Installing Cisco Meeting Servers Configuring the Web Admin Configuring the Call Bridge Configuring the Web Bridge Module 2: Troubleshooting Tools Seven call detail record (CDR) record types and the information contained in each Capture server configuration files (.json), crash log files, media and application .dmp files. Cisco Meeting App crash files, and Cisco Meeting App diagnostic logs Employ the built-in commands to identify Cisco Meeting Server solution issues including PKI, DNS Lookup, Ping, and Service Status Common issues for end users using the Cisco Meeting Server solution Module 3: Firewall Traversal and Unified Communications Application Integration Deploying a TURN Server Deploying Firewall and NAT Traversal Integrating with UC Platforms Additional course details: Nexus Humans Cisco Meeting Server Intermediate (COLLAB250) 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 Cisco Meeting Server Intermediate (COLLAB250) 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 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.