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Boost Your Career with Apex Learning and Get Noticed By Recruiters in this Hiring Season! Get Hard Copy + PDF Certificates + Transcript + Student ID Card worth £160 as a Gift - Enrol Now Brush up on your grammar and reach your English language learning goals in no time by enrolling in our English Grammar course. This information-packed course trains you in every possible way to polish your speaking and writing skills and correctly write sentences without it being an uphill task. Enrolling in an English course is propitious, for it is regarded as the core language for higher education. This course focuses on linking words, contrasting ideas, tenses, relative clauses, comparative adjectives and more. After your successful completion, you will be far more capable of expanding your English vocabulary. Take this course anywhere and at any time. Don't let your lifestyle limit your learning or your potential. English Grammar will provide you with the CPD certificate that you'll need to succeed. This English Grammar Bundle Consists of the following Premium courses: Course 01: Understanding English Grammar Course 02: Improve English Spelling, Punctuation, Grammar and Pronunciation Course 03: Complete English Language Course Course 04: English Literature Course 05: 200 Common English Idioms and Phrases Course 06: Master English Speaking 3 Course 07: Essay Writing in English Course 08: Teaching English Online Course 09: Remote Teaching Online Course 10: Business English Perfection Course Course 11: English for Job Interview Gain experience online and interact with experts. This can prove to be the perfect way to get noticed by a prospective employer and stand out from the crowd. English Grammar has been rated and reviewed highly by our learners and professionals alike. We have a passion for teaching, and it shows. All of our courses have interactive online modules that allow studying to take place where and when you want it to. The only thing you need to take English Grammar is Wi-Fi and a screen. You'll never be late for class again. Experienced tutors and mentors will be there for you whenever you need them, and solve all your queries through email and chat boxes. Benefits you'll get choosing Apex Learning for this English Grammar: Pay once and get lifetime access to 11 CPD courses Certificates, student ID for the title course included in a one-time fee Free up your time - don't waste time and money travelling for classes Accessible, informative modules designed by expert instructors Learn at your ease - anytime, from anywhere Study the course from your computer, tablet or mobile device CPD accredited course - improve the chance of gaining professional skills Gain valuable knowledge without leaving your home Curriculum Course 01: Understanding English Grammar Introduction The core components Basic sentence structure How will I get my Certificate? After successfully completing the course you will be able to order your CPD Accredited Certificates (PDF + Hard Copy) as proof of your achievement. PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 115 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this bundle. Requirements This course has been designed to be fully compatible with tablets and smartphones. Career path Having this expertise will increase the value of your CV and open you up to multiple job sectors. Certificates Certificate of completion Digital certificate - Included Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Understanding English Grammar) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

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In this video course, you'll explore the field of web and digital analytics. You'll learn about the various roles in digital analytics and discover the skills and education you need to get into these roles.

Become a skilled office admin and receptionist with our comprehensive course. Master key administrative tasks, communication skills, and customer service. Enroll now!

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

If you want to learn Java and are an absolute beginner looking for a great course with zero experience in the programming arena, then this is the perfect Java course for you. The course is structured keeping in mind individuals with no experience and it starts from scratch with no prerequisites required.

Welcome to this practical hands-on bootcamp on JWT authentication. In this course, you will learn to build APIs using Java and Spring Boot followed by the process of securing them using JWT (JSON Web Token) and Spring security. Familiarize yourself with all the industry's best practices and standards along the way. All you need is your interest in learning about securing APIs at an industry-grade standard to get started.

In this course, you will learn everything you need to know to become a professional React JS developer. As we lay the foundation for HTML5 and CSS, we will also work on some practice projects. Furthermore, we will explore JavaScript and ReactJS by studying their fundamentals and practicing.

The fashion designer course was written for students who are interested in working in the steadily growing fashion industry. With this online training course, you will have all the information necessary to successfully begin a career in this field. Fashion designing enables individuals to study fashion trends, sketch ideas and create designs. As you work through this course, you will gain a comprehensive overview of the design industry, elements of design, and career options within the field. This convenient online course provides students with the unique opportunity to learn course material at their own pace. You will have access to Online Courses Learning to comprehensive study material 24 hours a day ensuring that you can study anytime, anywhere. Many individuals who take the course are still able to work full time, which ensures that you can maintain your current lifestyle whilst working toward achieving your career goals. You can access this course from any internet-enabled device. As you work through the program, you will find the short, flexible modules incredibly easy to navigate. However, if you find you have any questions, you can access online support while you train. Before receiving your diploma, you must complete and pass a multiple-choice exam. After successfully passing your course, you can download your diploma right from home. If you prefer, we can post it to you at an additional cost.   What You Will Learn The fashion design diploma online course will cover the following information: An introduction to common fashion terminology The skills necessary to become a fashion designer The five stages of a fashion cycle The history of fashion The elements and principles of fashion design How to conduct fashion market research and identify your target customer Fashion designing forecasting How to create mood boards Fashion design sketching Fashion designing dress Garment sample stages An overview of material terminology Fashion styling The main fibre groups used in the fashion industry Textile fibres and their properties An overview of fabric construction Fashion illustrations Fabric performance characteristics and finishes How to source materials, trims, and contractors Draping, cutting, and sewing essentials Sewing techniques for fashion design Sizing and grading Garment support and structure Buttons, enclosures, and finishes Garment construction Fittings, revisions, and costing Garment tech packages Finding a clothing manufacturer and preparing for mass production Making your clothing line, domain name and trademark Creating your business plan Financing your line and finding resources in the United Kingdom Selling and marketing your fashions Finding models and launching a fashion show Careers in fashion design Starting your own fashion design business The fashion industry in the United Kingdom Preparing and presenting your portfolio   How to Become a Fashion Designer video review   Benefits of the Fashion Design Course Diploma When you work towards earning your fashion design diploma, you will benefit from the following: The ability to study from anywhere at any time that works for you, as long as there is an internet connection Study at your own pace. There is no time limit, so if it takes you days or months, you can still complete the course The ability to study from any device including computers, mobile phones or tablets You benefit from easy to manage modules, which help to make studying a gratifying experience Convenient online support is available to help you stay on the right track Access to a comprehensive syllabus, which puts you on the fast track to becoming an expert in the field Improve your prospects while applying for opportunities in the design industry Receive a certified diploma that is respected in the industry An affordable pricing structure