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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

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2 QLS Endorsed Courses | CPD Certified | Free PDF & Hardcopy Certificates | 180 CPD Points | Lifetime Access

Feeling Stuck in Your Career? The Data Science with Python (30 in 1) CPD Accredited Courses! Bundle is Your Skill-Building Solution. This exceptional collection of 30 premium courses is designed to encourage growth and improve your career opportunities. Suited to meet different interests and goals, the Data Science with Python bundle provides an engaging learning experience, helping you learn skills across various disciplines. With Data Science with Python (30 in 1) CPD Accredited Courses! Bundle, you'll have a personalised journey that aligns with your career goals and interests. This comprehensive package helps you confidently tackle new challenges, whether entering a new field or enhancing your existing knowledge. The Data Science with Python bundle is your gateway to expanding your career options, increasing job demand, and enhancing your skill set. By enrolling in this bundle, you'll receive complimentary PDF certificates for all courses, adding value to your resume at no extra cost. Develop key skills and achieve important progress in your career and personal development. Start your journey today and experience the transformative impact of the Data Science with Python (30 in 1) CPD Accredited Courses! bundle on your job life and career growth! This Data Science with Python (30 in 1) CPD Accredited Courses! Bundle Comprises the Following CPD Accredited Courses:3 Course 01: Python Data Science Course 02: R Programming for Data Science Course 03: Quick Data Science Approach from Scratch Course 04: SQL for Data Science, Data Analytics and Data Visualization Course 05: Programming AutoCAD with SQL Server Database Using C# Course 06: Big Data Analytics with PySpark Power BI and MongoDB Course 07: Develop Big Data Pipelines with R & Sparklyr & Tableau Course 08: Develop Big Data Pipelines with R, Sparklyr & Power BI Course 09: Data Center Training Essentials: Power & Electrical Course 10: Building Big Data Pipelines with PySpark MongoDB and Bokeh Course 11: Clinical Data Management with SAS Programming Course 12: Certificate in Data Entry and Management Course 13: Business Intelligence and Data Mining Course 14: Set Menu Prices for your restaurant using data Course 15: Data Analysis In Excel Course 16: Data Protection Course 17: Learn Python, JavaScript, and Microsoft SQL for Data science Course 18: Spatial Data Visualisation and Machine Learning in Python Course 19: Python Intermediate Training Course 20: Complete Python Machine Learning & Data Science Fundamentals Course 21: Python Programming Bible | Networking, GUI, Email, XML, CGI Course 22: Deep Learning & Neural Networks Python - Keras Course 23: The Complete Python 3 Course: Beginner to Advanced! 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Study for the Data Science with Python bundle using any internet-connected device, such as a computer, tablet, or mobile device. The Data Science with Python (30 in 1) CPD Accredited Courses! bundle is a premier learning resource, with each course module holding respected CPD accreditation, symbolising exceptional quality. The content is packed with knowledge and is regularly updated to ensure it remains relevant. This bundle offers not just education but a constantly improving learning experience designed to enrich both your personal and professional development. Advance the future of learning with the Data Science with Python bundle, a comprehensive, complete collection of 30 courses. Each course in the Data Science with Python bundle has been handpicked by our experts to provide a broad range of learning opportunities. Together, these modules form an important and well-rounded learning experience. Our mission is to deliver high-quality, accessible education for everyone. Whether you are starting your career, switching industries, or enhancing your professional skills, the Data Science with Python bundle offers the flexibility and convenience to learn at your own pace. Make the Data Science with Python package your trusted partner in your lifelong learning journey. CPD 300 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Data Science with Python (30 in 1) CPD Accredited Courses! is perfect for: Expand your knowledge and skillset for a fulfilling career with the Data Science with Python bundle. Become a more valuable professional by earning CPD certification and mastering in-demand skills with the Data Science with Python bundle. Discover your passion or explore new career options with the diverse learning opportunities in the Data Science with Python bundle. Learn on your schedule, in the comfort of your home - the Data Science with Python bundle offers ultimate flexibility for busy individuals. Requirements You are warmly invited to register for this bundle. Please be aware that no formal entry requirements or qualifications are necessary. This curriculum has been crafted to be open to everyone, regardless of previous experience or educational attainment. Career path Gain a wide range of skills across various fields, improve your problem-solving capabilities, and keep current with industry trends. Perfect for those aiming for career advancement, exploring a new professional direction, or pursuing personal growth. Begin your journey with the Data Science with Python bundle. Certificates CPD Certificates Digital certificate - Included

In this course, you will learn the process followed by big companies to automatically build and deploy their frontend ReactJS and backend Spring Boot application on Azure cloud using AzureDevOps.

Animal Science is the study of animals and their relationship to humans and the environment. It is an interdisciplinary field that investigates the biology, behaviour, and production of animals In addition, Animal Science focuses on animal health, nutrition, reproduction, genetics, and management of animals in both agricultural and companion animal settings. If you are interested in learning more about this, take this extensive Animal Science bundle from us. Animal Science covers a wide range of topics, from nutrition and reproduction to genetics and animal management. In this bundle, you will get 11 courses related to animal science. The course will guide you through the realm of the animal kingdom from scratch. This Animal Science Bundle Consists of the following Premium courses: Courses are included in this Animal Science Bundle? Course 01: Animal Science Course 02: Zoology Course 03: Biochemistry Course 04: Lab Analyst Training Course 05: Veterinary Nursing and Medical Emergencies Level 4 Course 06: Training for Puppies Course 07: Animal Behaviour and Psychology Level 2 Course 08: Animal Nutrition & Diet Course 09: Canine Communication Course 10: Feline Behaviour & Psychology Course 11: Personal Hygiene Learning Outcome Learners will gain knowledge of - Recognise the fundamentals of animal science Create a summary of animal biochemistry Describe how animal nutrition is measured Keep your pet in good health Know the laws governing animal protection and welfare Describe zoology and provide an introduction to the animal kingdom Learn about the diversity of life, animal behaviours, and animal traits Know what constitutes zoonotic illness, notifiable disease, and animal disease Learn the properties of organic compounds Understand the mechanism of metabolism Enrol now in Animal Science to advance your career, and use the premium study materials from Apex Learning. The bundle incorporates basic to advanced level skills to shed some light on your way and boost your career. Hence, you can strengthen your Animal Science expertise and essential knowledge, which will assist you in reaching your goal. Course Curriculum of this Animal Science bundle : Course 01: Animal Science Principles of Animal Science Animal Anatomy and Physiology Cell Biology Biochemistry Animal Microbiology Genetics and Evolution Animal Nutrition Animal Disease and Medicine Animal Behavioural Ecology Pet Care Wildlife Management Animal Welfare And 10 more courses... Certificate: PDF Certificate: Free (Previously it was £6*11 = £66) Hard Copy Certificate: Free (For The Title Course: Previously it was £10) CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone from any background can enrol in this Animal Science bundle. Persons with similar professions can also refresh or strengthen their skills by enrolling in this course. Students can take this course to gather professional knowledge besides their study or for the future. Requirements Our Animal Science is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career path This Animal Science course assists students in exploring a career in - Animal care worker - £14,000 to £24,000 Animal care assistant - £14,000 to £24,000 Animal technician - £17,000 to £28,000 Veterinary physiotherapist - £24,000 to £48,000 Animal welfare inspector - £19,250 to £30,000 Zoologist - £18,000 to £48,000 Wildlife biologist - £18,000 to £48,000 Zookeeper - £14,000 to £25,000 Certificates Certificate of completion Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Animal Science) 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. Certificate of completion Digital certificate - Included

Course Overview Do you want to familiarize with various programming structure and build your career as a software engineer? Then this course is perfect for you. Learn how you can use HTML CSS my SQL GitHub XAMPP and Heroku from this Modern PHP/MYSQL/ GitHub & Heroku Tutorial course and boost your programming skill in no time. This Modern PHP/MYSQL/ GitHub & Heroku Tutorial course will teach you the function of different platforms of web development. You will learn about PHP, bootstrap, MySQL, GitHub and Heroku. The lessons will help you understand programming structures from scratch and explore different areas of web development. The activities of the course will help you to practice the knowledge you learn and enhance your skill. You'll be able to work and create sample websites with the lectures.  You'll receive certifications after completing the course. This course can be a stepping stone for you to enhance your skill and be a professional web developer. Learning Outcomes Understand how XAMPP works Familiarize with the role of PHP in web-based programs Setup Apache server and PHP environment using XAMPP server Learn how to use GitHub Be able to build data-driven and dynamic web applications Learn how to deploy web applications using Heroku Learn the basics of bootstrap 4 Who is this course for? This course is a complete package of the database, PHP, Bootstrap and GitHub. This is ideal for anyone who wants to learn software designing and its steps. The course will teach you the necessary skills and knowledge you need for software development from scratch. Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification After you have successfully completed the course, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hardcopy at the cost of £39 or in PDF format at the cost of £24. PDF certificate's turnaround time is 24 hours, and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry-leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path Modern PHP/MYSQL/ GitHub & Heroku Tutorial Course is a useful qualification to possess and would be beneficial for any related profession or industry such as: Web Developers Web Designers Software Developers PHP Developers App Designers Unit 01: Introduction Introduction 00:06:00 Unit 02: Environment Configuration Module 01: Setup a PHP Environment using XAMPP 00:16:00 Module 02: Install Composer Package Manager 00:03:00 Module 03: Visual Studio Code - Web Development Add ons 00:12:00 Module 04: Create a GitHub Account 00:13:00 Module 05: Create a Heroku Account 00:08:00 Unit 03: PHP Basics and Syntax Module 01: How PHP Works 00:29:00 Module 02: IFELSE Statements 00:19:00 Module 03: Switch Statements 00:09:00 Module 04: FOR Loop 00:10:00 Module 05: WHILE AND DOWHILE Loops 00:14:00 Module 06: PHP Arrays and Manipulation 00:13:00 Module 07: String Manipulation Functions 00:28:00 Module 08: Date and Time Manipulation Functions 00:15:00 Module 09: User Defined Functions 00:22:00 Module 10: PHP Include and Require 00:22:00 Module 11: PHP Website Layout - With Bootstra 00:23:00 Module 12: Add Project to Github 00:08:00 Module 13: Publish Website to Heroku 00:20:00 Unit 04: PHP Forms and MySQL and User Authentication Module 01: Project and Website Setup 00:21:00 Module 02: Create a Bootstrap 4 Form 00:28:00 Module 03: PHP Form - $_GET Action 00:23:00 Module 04: PHP Form - $_POST Action 00:11:00 Module 05: Design Database with phpMyAdmin 00:19:00 Module 06: Connect to Database using PHP PDO 00:18:00 Module 07: Save Records to Database 00:38:00 Module 08: View Database Records 00:36:00 Module 09: View One Record's Details 00:28:00 Module 10: Update Database Records 00:34:00 Module 11: Delete Database Records 00:11:00 Module 12: Final Touches: Form Validation, Error Messages, Success Messages 00:17:00 Module 13: Create Heroku App and Remote Database 00:21:00 Module 14: Setup Authentication Tables in Database 00:20:00 Module 15: Setup Login and Authentication 00:29:00 Module 16: Control User Access 00:08:00 Module 17: Sending Confirmation Emails 00:31:00 Module 18: Upload Profile Pictures 00:31:00 Module 19: Final Touches 00:14:00 Resources Resources - Modern PHP/MYSQL/ GitHub & Heroku Tutorial 00:00:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

3 QLS Endorsed Diploma | QLS Hard Copy Certificates Included | 200 CPD Courses | Lifetime Access | Tutor Support