49104 Learning courses

Trauma Informed Practice in Education is a research evidence based whole school systems approach that starts with you. Improved attendance, improved learning outcomes, reduced suspensions and exclusions and better staff recruitment, retention and wellbeing all begin from a place of understanding child development, the impact of adversity on child development and the role of us as educators in supporting opportunities for growth and resilience. Systems change takes teamwork, however the most important member of that team is you. On this Trauma Informed Practice Day you will learn the why and how to keep you well and resourced in order to support the emotional and academic progress of the children in your school. You may already have some knowledge or you may be coming as a complete novice. Either and anything in between is fine. Numbers are limited to keep the group small for the benefit of more enriched learning. On this practice day you will; • Take a deep learning dive into the nervous system and how this applies to you, your setting and the progress of your learners. • Learn practical skills and strategies to support yourself and others. • Have opportunities to discuss children you are working with through small group supervision sessions • Benefit from a day of immersion into the topic with two highly qualified and experienced practitioners.

Inspiring, interactive and unique 4-hour CPD certified Communication and Co-production training.

This one day course will support teachers and RSE leads in special colleges and special schools with post 16 learners to deliver a meaningful curriculum through the Preparing for Adulthood outcomes. The course will explore key issues for older learners, including how to teach about practical aspects of relationships such as attraction and fancying people, starting relationships, negotiation and consent discussions, and how to keep yourself safe. Participants will leave with increased confidence to develop and deliver a skills-based, rights focused curriculum that will empower learners to be able to navigate their personal lives and relationships with autonomy.   Aim: To develop confidence to create and deliver an age-appropriate, rights based RSE curriculum for young adults with learning disabilities.   Outcomes: Participants will develop understanding of requirements for RSE for older learners, including the statutory guidance and preparation for adulthood outcomes, and how RSE can support independent living consider specific challenges young people with SEND may face in developing relationships and explore practical and creative ways to support relationship skill development explore strategies to address sexualised behaviour, and what to do if a learner begins or wants to masturbate in college   Who is this course for? This one day course is ideal for teachers and RSE leads working in special schools and tutors in colleges with older learners, up to age 25, and beyond.

Dive into the fascinating world of deep learning with this expertly crafted course designed to unravel the mysteries of neural networks using R. This course guides you through the core principles of neural networks, illustrating how layers of algorithms mimic the human brain’s ability to identify patterns and make decisions. Whether you’re a data enthusiast or a professional seeking to enhance your analytical toolkit, this course offers a clear and engaging path to understanding deep learning concepts through the power of R programming. With a sharp focus on theory and application, you will explore how to build, train, and optimise neural networks effectively, while leveraging R’s rich ecosystem of libraries and tools. The course content is designed to maintain a perfect balance between depth and clarity, making complex topics accessible without oversimplification. By the end, you will be equipped with a strong conceptual foundation and the confidence to approach deep learning projects with R, all through an engaging online format that fits seamlessly into your schedule. Learning Outcomes: Understanding of single-layer and multi-layer neural networks Knowledge of R programming for neural network applications Implementation of neural networks in real-world projects Familiarity with agriculture and war datasets for neural network modelling Ability to evaluate neural network model accuracy and performance The Deep Learning Neural Network with R course is designed to provide learners with a comprehensive understanding of how to build and evaluate neural networks using R programming language. The course includes four modules that cover single-layer and multi-layer neural networks applied to agriculture and war datasets. Each module contains practical hands-on projects that allow learners to gain real-world experience in neural network development and evaluation. By the end of the course, learners will have a solid understanding of neural network concepts, R programming language, and practical experience with real-world datasets. Deep Learning Neural Network with R Course Curriculum Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1) Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2) Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1) Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2) How is the course assessed? Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%. Exam & Retakes: It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable. Certification Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery). CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Data analysts and scientists seeking to expand their knowledge of neural networks and R programming Professionals interested in applying neural networks to agriculture or war datasets Students and researchers interested in deep learning and machine learning techniques Anyone looking to enhance their skills in data analysis and modelling using neural networks and R programming Requirements There are no formal entry requirements for the course, with enrollment open to anyone! Career path Data Analyst Machine Learning Engineer Data Scientist Artificial Intelligence Developer Research Scientist Entry-level positions such as Data Analysts can expect to earn between £25,000 to £35,000 per annum, whereas senior-level positions such as Machine Learning Engineers can earn upwards of £70,000 per annum. Certificates Certificate of completion Digital certificate - £9 You can apply for a CPD Accredited PDF Certificate at the cost of £9. Certificate of completion Hard copy certificate - £15 Hard copy can be sent to you via post at the expense of £15.

Are you looking to enhance your Learning Support Assistant (LSA) skills? If yes, then you have come to the right place. Our comprehensive course on Learning Support Assistant (LSA) will assist you in producing the best possible outcome by mastering the Learning Support Assistant (LSA) skills. The Learning Support Assistant (LSA) course is for those who want to be successful. In the Learning Support Assistant (LSA) course, you will learn the essential knowledge needed to become well versed in Learning Support Assistant (LSA). Our Learning Support Assistant (LSA) course starts with the basics of Learning Support Assistant (LSA) and gradually progresses towards advanced topics. Therefore, each lesson of this Learning Support Assistant (LSA) course is intuitive and easy to understand. Why would you choose the Learning Support Assistant (LSA) course from Compliance Central: Lifetime access to Learning Support Assistant (LSA) course materials Full tutor support is available from Monday to Friday with the Learning Support Assistant (LSA) course Learn Learning Support Assistant (LSA) skills at your own pace from the comfort of your home Gain a complete understanding of Learning Support Assistant (LSA) course Accessible, informative Learning Support Assistant (LSA) learning modules designed by experts Get 24/7 help or advice from our email and live chat teams with the Learning Support Assistant (LSA) Study Learning Support Assistant (LSA) in your own time through your computer, tablet or mobile device A 100% learning satisfaction guarantee with your Learning Support Assistant (LSA) Course Learning Support Assistant (LSA) Curriculum Breakdown of the Learning Support Assistant (LSA) Course Module 01: The Roles of a Learning Support Assistant (LSA) Module 02: Working with Children in a School Module 03: Assessing Students Module 04: Skills of a Learning Support Assistant Module 05: Providing for All Children Module 06: Safeguarding and Wellbeing of Children and Young People Module 07: Dealing with Emergencies Module 08: Special Educational Needs (SEN) Module 09: Professional Development Module 10: Time and Stress Management CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? The Learning Support Assistant (LSA) course helps aspiring professionals who want to obtain the knowledge and familiarise themselves with the skillsets to pursue a career in Learning Support Assistant (LSA). It is also great for professionals who are already working in Learning Support Assistant (LSA) and want to get promoted at work. Requirements To enrol in this Learning Support Assistant (LSA) course, all you need is a basic understanding of the English Language and an internet connection. Career path The Learning Support Assistant (LSA) course will enhance your knowledge and improve your confidence in exploring opportunities in various sectors related to Learning Support Assistant (LSA). Learning Support Assistant (LSA): £17,000 to £22,000 per year Special Educational Needs (SEN) Teaching Assistant: £16,000 to £25,000 per year Certificates CPD Accredited PDF Certificate Digital certificate - Included CPD Accredited PDF Certificate CPD Accredited Hard Copy Certificate Hard copy certificate - £10.79 CPD Accredited Hard Copy Certificate Delivery Charge: Inside the UK: Free Outside of the UK: £9.99 each

Practical Sales Skills 1 Day Workshop in Canterbury

Practical Sales Skills 1 Day Workshop in Maidstone

Practical Sales Skills 1 Day Workshop in Edinburgh

Practical Sales Skills 1 Day Workshop in Southampton

Artificial neural networks (ANNs) are the most powerful machine learning algorithms available today. They are capable of learning complex relationships in data, and they have been used to achieve state-of-the-art results in a wide variety of fields, including image recognition, natural language processing, and speech recognition. The Future of Machine Learning is Here! This Project on Deep Learning - Artificial Neural Network course will teach you how to build and train ANNs from scratch. You will learn about the different components of an ANN, such as the input layer, hidden layers, and output layer. You will also learn about the different activation functions that can be used in ANNs, and you will see how to optimise ANNs for different tasks. In addition to the theoretical concepts, you will also get experience with ANNs. You will work on a project where you will build an ANN to classify images. You will use the TensorFlow library to build your ANN, and you will see how to train your ANN on a dataset of images. By the end of this Project on Deep Learning - Artificial Neural Network course, you will have a deep understanding of ANNs and how to use them. You will be able to build your own ANNs to solve a variety of problems. You will also be able to use the TensorFlow library to build and train ANNs. So what are you waiting for? Enrol in this course today and start learning about the future of machine learning!   Learning Outcomes: Through this comprehensive course, you should be able to: Understand the fundamental concepts of deep learning and artificial neural networks. Install and configure an artificial neural network framework. Preprocess and structure data for optimal model performance. Encode data effectively for neural network training and predictions. Build and deploy artificial neural networks for real-world applications. Address data imbalance challenges and optimise model accuracy.   Who is this course for? This Project on Deep Learning - Artificial Neural Network course is ideal for: Data scientists and machine learning practitioners seeking to expand their knowledge. Software engineers interested in leveraging deep learning techniques. Students pursuing a career in artificial intelligence and machine learning. Professionals looking to enhance their skills in neural network development. Individuals with a passion for exploring advanced machine learning techniques.   Career Path  Our course will prepare you for a range of careers, including: Deep Learning Engineer: £40,000 - £100,000 per year. Machine Learning Researcher: £45,000 - £120,000 per year. Data Scientist: £50,000 - £110,000 per year. Artificial Intelligence Specialist: £55,000 - £130,000 per year. Software Engineer (specialising in AI): £45,000 - £100,000 per year. Research Scientist (Machine Learning): £50,000 - £120,000 per year. AI Consultant: £60,000 - £150,000 per year. Certification After studying the course materials of the Project on Deep Learning - Artificial Neural Network (ANNs) there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Prerequisites This Project on Deep Learning - Artificial Neural Network (ANNs) does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Project on Deep Learning - Artificial Neural Network (ANNs) was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection.   Course Curriculum Section 01: Introduction Introduction of Project 00:03:00 Section 02: ANN Installation Setup Environment for ANN 00:11:00 ANN Installation 00:09:00 Section 03: Data Preprocessing Import Libraries and Data Preprocessing 00:11:00 Data Preprocessing 00:07:00 Data Preprocessing Continue 00:10:00 Section 04: Data Encoding Data Exploration 00:10:00 Encoding 00:07:00 Encoding Continue 00:06:00 Preparation of Dataset for Training 00:04:00 Section 05: Steps to Build ANN Steps to Build ANN Part 1 00:06:00 Steps to Build ANN Part 2 00:06:00 Steps to Build ANN Part 3 00:06:00 Steps to Build ANN Part 4 00:09:00 Section 06: Predictions and Imbalance-Learn Predictions 00:11:00 Predictions Continue 00:08:00 Resampling Data with Imbalance-Learn 00:09:00 Resampling Data with Imbalance-Learn Continue 00:08:00