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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 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
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Utilise digital marketing tools and techniques, including social media marketing, email marketing, and SEO, to enhance brand visibility and reach. Create and execute compelling content marketing campaigns that engage target audiences and boost conversions. Analyze sales data, marketing performance, and market trends to optimize marketing efforts and improve decision-making processes. Manage customer relationships and improve communication through relationship marketing to increase sales and customer retention. 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Enrol in this Sales and Marketing Training course today and start your journey to becoming a successful marketing professional or sales expert! ★★★ Course Curriculum of Sales and Marketing Training Bundle ★★★ Course 01: Sales & Selling Management Course Module 01: Understanding the Talk Module 02: Getting Prepared to Make the Call Module 03: Creative Openings Module 04: Making Your Pitch Module 05: Handling Objections Module 06: Sealing the Deal Module 07: Following Up Module 08: Setting Goals Module 09: Managing Your Data Module 10: Using a Prospect Board Course 02: Sales Negotiation Training Course 03: Telesales Executive Training Course 04: Marketing Fundamentals Course 05: Strategic Planning and Analysis for Marketing Course 06: Digital Marketing Course 07: SEO - Search Engine Optimisation Level 5 Course 08: Retail Management - Level 5 Course 09: Customer Relationship Management Course 10: Sales: Psychology of Customers Course 11: Basic Product Management Course 12: Product Photography Course 13: Commercial Law 2021 Course 14: Public Speaking and Presentation Skill Course 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 Hard Copy Certificate: Free CPD 140 CPD hours / points Accredited by CPD Quality Standards Requirements There is no time limit for completing thiscourse; it can be studied in your own time at your own pace. Career path Elevate your professional journey with Sales and Marketing Training. This comprehensive course opens doors to a wide range of career opportunities in the dynamic world of marketing. 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This Bundle Package includes: Course 01: Certificate in Nursery Assistant Training at QLS Level 3 10 Additional CPDQS Accredited Premium Courses - Course 01: SEN - Special Educational Needs Teaching Assistant Diploma Course 02: Teaching Phonics Course 03: Educational Psychology & Development Course Course 04: Learning Disability Awareness Course 05: Sports Coaching for PE Teachers Course 06: Remote Teaching Strategies Course 07: Paediatric First Aid Training for Teachers Course 08: Anti-Social Behaviour Course Course 09: Child Protection and Safeguarding Course 10: Safeguarding Children: Internet Safety Success becomes a lot simpler with this bundle package, which allows you to monetise your skills. This bundle is appropriate for both part-time and full-time students, and it can be completed at your own pace. This premium online bundle course, named Nursery Assistant, supports your professional growth with Quality Licence Scheme endorsement, as well as CPDQS accreditation. 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We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 225 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Is This Nursery Assistant Bundle Right for You? The package training is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! This package is also ideal for those who want to learn more about this subject in-depth and stay up to date with the latest details. From the comfort of your own home, study the Nursery Assistant package and expand your professional skillset! Requirements The Nursery Assistant Bundle has no formal entry criteria, and everyone is welcome to enrol! Anyone with a desire to learn is welcome to this course without hesitation. All students must be over the age of 16 and have a passion for learning and literacy. You can learn online using any internet-connected device, such as a computer, tablet, or smartphone. You can study whenever it's convenient for you and finish the bundle package at your own speed. Career path The Nursery Assistant bundle course aims to help you get the job or even the long-awaited promotion of your dreams. With the support and guidance of our package, you will learn the skills and knowledge that are important to your career. Certificates Certificate in Nursery Assistant Training at QLS Level 3 Hard copy certificate - Included For Additional The Quality Licence Scheme Courses, You have to pay the price based on the Level of these Courses: Level 1 - £59 Level 2 - £79 Level 3 - £89 Level 4 - £99 Level 5 - £119 Level 6 - £129 Level 7 - £139 CPDQS Accredited Certificate 29 GBP for Printed Hardcopy Certificate inside the UK 39 GBP for Printed Hardcopy Certificate outside the UK (International delivery) CPDQS Accredited Certificate Digital certificate - £10 Upon passing the Bundle, you need to order to receive a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPDQS.
Quality Guarantee: Promising training excellence, satisfaction gurantee Accredited by CPD Certification Service Tutor Support Unlimited support via email, till you complete the course Recognised Certification: Accepted by thousands of professional bodies Start Anytime: With 1 year access to the course materials Online Learning Learn from anywhere, whenever you want Why Instagram for Business Training Course right for you? Whether you are self-taught and you want to fill in the gaps for better efficiency and productivity, this Instagram Marketing Masterclass course will set you up with a solid foundation to become a confident Instagram marketing executive and develop more advanced skills. This comprehensive course is the perfect way to kickstart your career in the field of Instagram Marketing. This course will give you a competitive advantage in your career, making you stand out from all other applicants and employees. As one of the leading course providers and most renowned e-learning specialists online, we're dedicated to giving you the best educational experience possible. This course is crafted by industry expert, to enable you to learn quickly and efficiently, and at your own pace and convenience. Instagram for Business Training Course Details Accredited by CPD certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Many organisations look for employees with CPD requirements, which means, that by doing this course, you would be a potential candidate in your respective field. Course Curriculum Course Preview Course Preview Optimize Your Instagram Profile Presence to Increase Sale Conversions Optimize Your Instagram Profile Presence to Increase Sale Conversions Getting Content and Posting It Correcting Getting Content and Posting It Correcting Dominating Instagram Stories to Keep Your Followers Active Dominating Instagram Stories to Keep Your Followers Active Capitalizing On Your Analytics Capitalizing On Your Analytics Growing Followers Organically Growing Followers Organically The Power Of Influencer Marketing The Power Of Influencer Marketing One Of The Fastest Forms Of Growth⦠Giveaways One Of The Fastest Forms Of Growth⦠Giveaways Who should take this course? This comprehensive course is suitable for anyone looking to improve their job prospects or aspiring to accelerate their career in this sector and want to gain in-depth knowledge of Instagram. Entry Requirements There are no academic entry requirements for this course, and it is open to students of all academic backgrounds. As long as you are aged seventeen or over and have a basic grasp of English, numeracy and ICT, you will be eligible to enrol. Certification Certificate of Achievement from Lead Academy After successfully passing the MCQ exam you will be eligible to order your certificate of achievement as proof of your new skill. The certificate of achievement is an official credential that confirms that you successfully finished a course with Lead Academy. Certificate can be obtained in PDF version at a cost of £12, and there is an additional fee to obtain a printed copy certificate which is £35. FAQs Is CPD a recognised qualification in the UK? CPD is globally recognised by employers, professional organisations and academic intuitions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. CPD-certified certificates are accepted by thousands of professional bodies and government regulators here in the UK and around the world. Are QLS courses recognised? Although QLS courses are not subject to Ofqual regulation, they must adhere to an extremely high level that is set and regulated independently across the globe. A course that has been approved by the Quality Licence Scheme simply indicates that it has been examined and evaluated in terms of quality and fulfils the predetermined quality standards. When will I receive my certificate? For CPD accredited PDF certificate it will take 24 hours, however for the hardcopy CPD certificate takes 5-7 business days and for the Quality License Scheme certificate it will take 7-9 business days. Can I pay by invoice? Yes, you can pay via Invoice or Purchase Order, please contact us at info@lead-academy.org for invoice payment. Can I pay via instalment? Yes, you can pay via instalments at checkout. How to take online classes from home? Our platform provides easy and comfortable access for all learners; all you need is a stable internet connection and a device such as a laptop, desktop PC, tablet, or mobile phone. The learning site is accessible 24/7, allowing you to take the course at your own pace while relaxing in the privacy of your home or workplace. Does age matter in online learning? No, there is no age limit for online learning. Online learning is accessible to people of all ages and requires no age-specific criteria to pursue a course of interest. As opposed to degrees pursued at university, online courses are designed to break the barriers of age limitation that aim to limit the learner's ability to learn new things, diversify their skills, and expand their horizons. When I will get the login details for my course? After successfully purchasing the course, you will receive an email within 24 hours with the login details of your course. Kindly check your inbox, junk or spam folder, or you can contact our client success team via info@lead-academy.org