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English Learning Adventure (Elementary Level)

Gain the solid skills and knowledge to kickstart a successful career and learn from the experts with this

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

Level 3 & 5 Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 5 CPD Courses | Lifetime Access

Diploma in Education and Training (DET) qualification is a recognised teaching qualification leads to QTLS status. This is a PGCE equivalent qualification which is full 120 QCF Credit value. Formerly this course used to called Level 5 Diploma in Teaching in the Life Long Learning (DTLLS) course. This course is suitable for trainers, teachers, and tutors who intend to work or already working in further education, university, training centre, college, adult and community learning or work-based training within public, private, community organisations or voluntary sectors.

Who is this course for? Newly qualified teachers, teaching assistants, learning support assistants   What will be covered? learning and progress working memory & long-term memory how we learn strategies for making sure pupils learn using assessment effectively feedback and progress using prompt, structure interventions

Introduction to Mental Health and Learning Disability in Primary Care (2-Day Course)This course is designed for Nurse Associates, Practice Nurses, Nurse Practitioners (NP's), Emergency Nurse Practitioners (ENP's), Paramedics, and Pharmacists who aim to enhance their knowledge and skills in mental health and learning disability care within the primary care setting.Day 1: Mental HealthLearning Objectives:1. Understand the concept of mental health and its importance in overall well-being.2. Identify common mental health disorders, their signs, symptoms, and risk factors.3. Explore different approaches to mental health assessment and diagnosis.4. Learn evidence-based interventions for various mental health conditions.5. Develop effective communication skills when interacting with individuals experiencing mental health challenges.6. Gain knowledge of available resources and support systems for mental health.Introduction to Performing Annual Reviews for Mental Health Patients:- Understand the significance of performing annual reviews for individuals with mental health conditions.- Explore the assessment tools and methods required for annual reviews in mental health.- Begin to develop skills in conducting annual reviews for mental health patients.Day 2: Learning DisabilitiesLearning Objectives:1. Define learning disabilities and recognize their impact on individuals' lives.2. Identify common types of learning disabilities, their characteristics, and associated challenges.3. Understand the importance of early detection and screening for learning disabilities.4. Learn strategies for supporting individuals with learning disabilities in various settings.5. Explore the rights and legislation related to individuals with learning disabilities.6. Enhance communication and collaboration skills when working with individuals with learning disabilities.Introduction to Performing Annual Reviews for Learning Disability Patients:- Understand the significance of performing annual reviews for individuals with learning disabilities.- Learn the specific assessment tools and methods required for annual reviews in learning disabilities.- Begin to develop skills in conducting annual reviews for learning disability patients.Join us for this informative and interactive 2-day course via Zoom, led by Dr. Tamara Cunningham, and equip yourself with the knowledge and skills necessary to provide comprehensive care for individuals with mental health and learning disability conditions in a primary care setting.

This course will start by giving you an overview of some of the common types and causes of learning disabilities and how they affect people. It will touch on how a person centred approach to care will get the best results and look at how management must perform, and at the needs of the individual. I will also discuss overcoming the stigma attached to learning disabilities and much more.

This qualification is made up of one mandatory and one optional unit. There are 2 x 1 day workshops that will help develop knowledge of the principles, theories and practices in Learning and Development The course is aimed at practitioners such as tutors, trainers, assessors and quality assurers who want to develop their skills and knowledge in their own area of learning delivery. You will meet other practitioners who are responsible for process, people or practice within Learning and Development. You will get to share good practices and ideas for improvement and will be able to apply these in your workplace. You will be expected to carry out research, complete assignments and implement change in your organisation, with the mentoring support of our Learning Advisor.

The IOSH Working Safely® E-Learning course includes learning materials to the whole IOSH Working Safely® course, which includes: Part one: Introducing working safely Part two: Defining hazard and risk Part three: Identifying common hazards Part four: Improving safety performance