13844 AI courses delivered Online

Aim To increase the confidence and knowledge of participants to support adults with learning disabilities in terms of their sexual health and sex and relationships rights.   Outcomes By the end of the training participants will have: -had an update around the law, mental capacity act and capacity to consent to sexual relationships and CQC guidance - considered how to support patients with their sex and relationships rights -more knowledge of current easy read and other resources and organisations available to support our work   Agenda Welcome, introductions and working agreement The law, capacity to consent and CQC guidance Rights of people with learning disabilities to sex and relationships Resources and organisations Close   Suitable for   Anyone supporting adults with learning disabilities as a care worker or social worker.

Join this course to learn how to build a dynamic and engaging Tic Tac Toe game for iOS using SwiftUI and Firebase integration. Gain practical skills in game development, SwiftUI, and Firebase integration as you create a fully functional Tic Tac Toe game ready to be deployed to the App Store. Basic knowledge of Swift and SwiftUI is essential.

Official BRCGS Agents and Brokers Issue 3 for Sites course. Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

Official BRCGS Agents and Brokers Issue 3 for Auditors course. Delivered online (Zoom) by a live BRCGS Approved Training Partner. Exam and Certificate fee included in the price.

CPD Accredited | Career Oriented Learning Modules | 24x7 Tutor Support | Lifetime Access

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

Are you ready to embark on an enlightening journey of wisdom with the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle, and pave your way to an enriched personal and professional future? If so, then Step into a world of knowledge with our bundle - Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels. Delve into eight immersive CPD Accredited courses, each a simple course: Course 1: Marketing Course 2: Strategic Planning and Analysis for Marketing Course 3: Digital Marketing - Growth Hacking Techniques - Online Course Course 4: Social Media Marketing Course -The Step by Step Guide Course 5: Creating Highly Profitable Sales Funnels Course 6: Email Marketing for Beginners Course 7: SEO - Search Engine Optimisation Course 8: ChatGPT for Marketing and Productivity with AI Tools Traverse the vast landscapes of theory, unlocking new dimensions of understanding at every turn. Let the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle illuminate your path to wisdom. The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle offers a comprehensive exploration into a rich tapestry of vast knowledge across eight carefully curated courses. The journey is designed to enhance your understanding and critical thinking skills. Each course within the bundle provides a deep-dive into complex theories, principles, and frameworks, allowing you to delve into the nuances of the subject matter at your own pace. In the framework of the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels package, you are bestowed with complimentary PDF certificates for all the courses included in this bundle, all without any additional charge. Adorn yourself with the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle, empowering you to traverse your career trajectory or personal growth journey with self-assurance. Register today and ignite the spark of your professional advancement! So, don't wait further and join the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels community today and let your voyage of discovery begin! Learning Outcomes: Upon completion of the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels Bundle, you will be able to: Attain a holistic understanding in the designated areas of study with the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle. Establish robust bases across each course nestled within the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle. Decipher intricate concepts through the articulate content of the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle. Amplify your prowess in interpreting, scrutinising, and implementing theories. Procure the capacity to engage with the course material on an intellectual and profound level. Become proficient in the art of problem-solving across various disciplines. Stepping into the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle is akin to entering a world overflowing with deep theoretical wisdom. Each course within this distinctive bundle is an individual journey, meticulously crafted to untangle the complex web of theories, principles, and frameworks. Learners are inspired to explore, question, and absorb, thus enhancing their understanding and honing their critical thinking skills. Each course invites a personal and profoundly enlightening interaction with knowledge. The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle shines in its capacity to cater to a wide range of learning needs and lifestyles. It gives learners the freedom to learn at their own pace, forging a unique path of discovery. More than just an educational journey, the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle fosters personal growth, enabling learners to skillfully navigate the complexities of the world. The Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle also illuminates the route to a rewarding career. The theoretical insight acquired through this bundle forms a strong foundation for various career opportunities, from academia and research to consultancy and programme management. The profound understanding fostered by the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle allows learners to make meaningful contributions to their chosen fields. Embark on the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels journey and let knowledge guide you towards a brighter future. CPD 90 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen on deepening their firm understanding in the respective fields. Students pursuing higher education looking for comprehensive theory modules. Professionals seeking to refresh or enhance their knowledge. Anyone with a thirst for knowledge and a passion for continuous learning. Requirements Without any formal requirements, you can delightfully enrol in this Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels Bundle. Career path Armed with the Marketing A to Z: Digital Marketing, Social Media Marketing & Sales Funnels bundle, your professional journey can reach new heights. The comprehensive theoretical knowledge from this bundle can unlock diverse career opportunities across several fields. Whether it's academic research, consultancy, or programme management, this bundle lays a solid groundwork. Certificates CPD Certificate Of Completion Digital certificate - Included 8 Digital Certificates Are Included With This Bundle CPD Quality Standard Hardcopy Certificate (FREE UK Delivery) Hard copy certificate - £9.99 Hardcopy Transcript: £9.99

Flat Discount: 52% OFF! QLS Endorsed| 40 Courses Diploma| 400 CPD Points| Free PDF+Transcript Certificate| Lifetime Access

This training is for lawyers and covers key topics to ensure compliance with the Lexcel standard and other regulations.