Overview Are you considering investing your time and effort into something that will help launch and elevate your career in the education industry? The Professional Teaching Assistant course will introduce you to the profession that's filled with rewards that outweigh the trials. Through this comprehensive course, you will prepare yourself up for everything you need to become a qualified Teaching Assistant. During this advanced teaching assistant training course, you will become aware of all the vital knowledge that is required to support learning in schools and academies. The course covers a range of topics, including the crucial role a teaching assistant play within the classroom. Upon successful completion of the course, you will be provided with the knowledge required to carry out a teaching assistant job in the most efficient manner and pursue a career that satisfies you in the long term. Course design The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace. You are taught through a combination of Text/Video lessons Online study materials How is the course assessed? To successfully complete the course you must pass an automated, multiple-choice assessment. The assessment is delivered through our online learning platform. You will receive the results of your assessment immediately upon completion. Will I receive a certificate of completion? Upon successful completion, you will qualify for the UK and internationally-recognised certificate and you can choose to make your achievement formal by obtaining your PDF Certificate at a cost of £9 and Hardcopy Certificate for £15. Why study this course Whether you're an existing practitioner or aspiring professional, this course will enhance your expertise and boost your CV with key skills and an accredited qualification attesting to your knowledge. Who is This course for? This Professional Teaching Assistant course is suitable for anyone interested in working in this sector or who simply wants to learn more about the topic. If you're an individual looking to excel within this field then Professional Teaching Assistant course is for you. Requirements The Professional Teaching Assistant course is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16. Course Curriculum Module 01: Fundamentals of Teaching Understanding the Development of Children and Young Person 01:00:00 Communication and Professional Relationships with Pupils and Family 01:00:00 Safeguarding the Welfare of Children and Young Person 01:00:00 Module 02: Teaching Methodologies - Part 1 Education - A Group Enterprise 01:00:00 Traits to Develop 01:00:00 Grow the Attention 01:00:00 Learning Good Habits 01:00:00 Importance of Memory 01:00:00 Module 03: Teaching Methodologies - Part 2 Imagination is Important 01:00:00 Breakdown of Thinking Process 00:30:00 Appreciation - An Aesthetic Emotion 00:30:00 Learning Reflexive Activities 01:00:00 Differing Individuals 00:30:00 Module 04: Teaching Methodologies - Part 3 Morality Matters 01:00:00 Different Learning Methods 01:00:00 Different Psychological Exercises 01:00:00 Problems, Situations & Solutions 01:00:00 Measuring the Achievements 01:00:00 Module 05: SEN Teaching Special Educational Needs (SEN) Teacher 00:30:00 Statutory and Regulatory Context for SEN 01:00:00 Principles and Practice of Leadership in Different Contexts 00:45:00 How SEN and Disabilities Affect Pupils' Participation and Learning? 00:45:00 Strategies for Improving the Performance of the Pupils with SEN 00:45:00 Module 06: SENCO Training Whole-school Planning and Organisation 01:00:00 Assessment 00:30:00 Teamwork for SEN: Roles and Functions 01:00:00 Planning for Individual Students with SEN 00:45:00 Teaching and Learning in the Inclusive School 00:45:00 Module 07: Autism Introduction to Autism 00:20:00 Causes and Diagnosis of Autism 00:45:00 Other Conditions Associated with ASD 01:00:00 In-depth Understanding and Dealing with Autistic Behaviour 01:00:00 Socialising and Communication 00:45:00 Choosing Schools 00:45:00 What Should Teachers Do? 00:30:00 Sex Education and Puberty 00:30:00 Interventions: Treatments and Therapies for Autism 00:45:00 Government policies on autism in England 00:30:00 Module 08: ADHD What is ADHD? 00:30:00 Causes of ADHD 00:30:00 Diagnosing ADHD 00:30:00 Treating ADHD 00:30:00 ADHD and Education 00:30:00 Reasonable Adjustments: ADHD 01:00:00 Adults with ADHD 00:30:00 Module 09: Dyslexia What is Dyslexia? 01:00:00 Identifying Dyslexia 00:30:00 Co-occurring Conditions 00:30:00 Diagnosing Dyslexia 00:30:00 Creating Dyslexia Friendly Environment 00:30:00 Solutions for Dyslexia 00:30:00 Mock Exam Mock Exam- Professional Teaching Assistant 00:20:00 Final Exam Final Exam - Professional Teaching Assistant 00:20:00
This Strategy Insights Masterclass explores what strategic planning is really about and how to approach it effectively (including how to consider the uncertainty of the future).
Historical Association webinar series: Making history accessible Presenters: Cat Priggs This webinar will provide an overview of recent key developments in SEND, including statutory guidance and regulations from Ofsted’s latest Education Inspection Framework and the SEND improvement plan. Drawing on SEND toolkits, we will reflect on how to embed inclusive practice. This will be explored in the context of the history classroom as we draw upon the Historical Association’s Secondary Committee ‘Making History Accessible’ resources to consider how to develop and support SEND students’ historical learning. At the end of this session, participants will be introduced to an optional small-scale action research project. This project will prompt reflection on a specific aspect of participants’ practice, which will be explored and reviewed through the webinar series. Image: A Squire "Old English" padlock on a gate latch in Devon (Image: Partonez/Wikimedia Commons)
Kickstart your journey to better health and wellbeing with our 10-week online course! Learn to build healthy habits, manage stress, and stay fit with guided meditations, practical exercises, and more. Enrol now and transform your life! #HealthAndWellbeing #HomeTraining #HealthyHabits #OnlineCourse
Hypnotic language patterns, for an effective consultation processes, you'll learn rapid transformation, behaviour change and state change techniques. You'll learn how to create sessions for audio, video and group therapy. You'll also learn the rapid phobia release and 3 step rewind. We also start to help you to create you own clinical practise.
Have you ever felt powerless in the face of anger? If so, this practical and highly informative course is for you – learn how to take back control… Accredited CPD: 6 hours Distressing, inappropriate and often violent expressions of anger, frustration and rage are on the increase in all areas of public and private life causing mental ill-health, stress, misery and sometimes even physical injury and death – but it doesn’t have to be this way. Learning how to manage anger effectively is key to maintaining a positive mindset and healthy relationships… Having done several courses over the years on handling aggression, I was surprised at how much I could learn from this online anger management courseREGISTERED CARE MANAGER Why take this course The best way to help yourself and others is to understand the causes, triggers and behaviour patterns of anger, and learn the effective techniques for diffusing and coping with aggressive situations. Leading expert Joe Griffin’s online anger management course gives you all of the valuable techniques and the information you need. It covers: anger and health; anger at work; anger in school; road rage; anger and personal safety; anger in relationships; aggressive public out-bursts of rage and much more. It also contains essential information – that will help to keep you safe – if you deal with the general public or work with people suffering from anger disorders. This excellent, well-structured online Anger Management course brings much of what I’m learning into context through practical examples and case histories. Useful in my personal life as well as my working relationshipsLISE BRATTON, EDITOR/ DESIGNER What will you learn Enhanced personal safety in potentially dangerous situations A new ‘toolbox’ of effective anger management strategies for calming down and dealing with angry people Greater understanding about the relationship between anger and emotional and physical health Insight into what triggers your own anger – and how to control it Better communication and conflict resolution skills The Five Myths about anger – that everyone needs to know Information about the effects of anger on our minds and bodies Ways to diffuse potentially violent situations Three invaluable techniques for disarming criticism Why people react aggressively without thinking of the consequences The difference between healthy and destructive anger Understanding road-rage – and how to reduce it The importance of helping children to manage their anger better A better understanding of why anger and aggression are on the increase Ways to inoculate yourself against stress build-up How to deal with passive aggression What makes a ‘rage-aholic’ – why getting angry can become addictive Using non-verbal signals to diffuse situations Improved treatment strategies for helping patients and clients master their uncontrolled anger Course notes Accredited CPD certificate, that also counts towards the Human Givens Diploma and much more… Counts towards a Diploma By taking this course, you could be on your way to completing Part 1 of the Human Givens Diploma – a flexible, part-time psychotherapy course which will deepen your psychological knowledge and increase your ability to help people effectively and quickly. Learn more > Course Programme Part 1Why anger and aggression are on the increase Part 2How to effectively control your own anger Part 3Coping effectively with other people's anger Part 4The aggression inhibition reflex Who is this course suitable for? If you deal professionally with members of the public in difficult, stressful circumstances, this course – presented without jargon – is for you If you counsel or treat angry people, this training is for you If anger is affecting you personally – or you would simply like to deepen your understanding of anger and its effects – this course will be of benefit to you too What's included? 13 Videos 21 Quizzes PDF Course notes Life-long access CPD Certificate Course format The Effective Anger Management online training course is split into 4 modules, each of which are broken down further into different sections containing filmed lectures given in English by the tutor, Joe Griffin. Each film clip is followed by a short series of multiple choice questions. These are designed to help you think about and absorb the course content and to check that you have understood the main points of that section before proceeding to the next. There are also course notes for you to download, plus additional reading information and helpful links. The online course comes with life-long access so you can take as long as you like to work your way through the course and can view it as many times as you like. Once you have completed the online training course, you will receive an accredited CPD certificate, which counts towards Part 1 of the Human Givens Diploma. This course has been independently assessed by the internationally recognised CPD Standards Office for 6 hours of CPD training. Meet your tutor Joe Griffin Joe Griffin is a psychologist with many years’ experience both in psychotherapeutic practice and in training psychotherapists. Read more
Prepare for success with the Microsoft PL-900 Certification Course, covering the fundamentals of Power Platform, including Power BI, Power Apps, Power Automate, Power Virtual Agents, and related topics such as Dataverse, AI Builder, Connectors, Dynamics 365, Teams, Security, and Administration. Suitable for beginners with no prerequisites.
Duration 3 Days 18 CPD hours This course is intended for This course is geared for experienced Scala developers who are new to the world of machine learning and are eager to expand their skillset. Professionals such as data engineers, data scientists, and software engineers who want to harness the power of machine learning in their Scala-based projects will greatly benefit from attending. Additionally, team leads and technical managers who oversee Scala development projects and want to integrate machine learning capabilities into their workflows can gain valuable insights from this course Overview Working in a hands-on learning environment led by our expert instructor you'll: Grasp the fundamentals of machine learning and its various categories, empowering you to make informed decisions about which techniques to apply in different situations. Master the use of Scala-specific tools and libraries, such as Breeze, Saddle, and DeepLearning.scala, allowing you to efficiently process, analyze, and visualize data for machine learning projects. Develop a strong understanding of supervised and unsupervised learning algorithms, enabling you to confidently choose the right approach for your data and effectively build predictive models Gain hands-on experience with neural networks and deep learning, equipping you with the know-how to create advanced applications in areas like natural language processing and image recognition. Explore the world of generative AI and learn how to utilize GPT-Scala for creative text generation tasks, broadening your skill set and making you a more versatile developer. Conquer the realm of scalable machine learning with Scala, learning the secrets to tackling large-scale data processing and analysis challenges with ease. Sharpen your skills in model evaluation, validation, and optimization, ensuring that your machine learning models perform reliably and effectively in any situation. Machine Learning Essentials for Scala Developers is a three-day course designed to provide a solid introduction to the world of machine learning using the Scala language. Throughout the hands-on course, you?ll explore a range of machine learning algorithms and techniques, from supervised and unsupervised learning to neural networks and deep learning, all specifically crafted for Scala developers. Our expert trainer will guide you through real-world, focused hands-on labs designed to help you apply the knowledge you gain in real-world scenarios, giving you the confidence to tackle machine learning challenges in your own projects. You'll dive into innovative tools and libraries such as Breeze, Saddle, DeepLearning.scala, GPT-Scala (and Generative AI with Scala), and TensorFlow-Scala. These cutting-edge resources will enable you to build and deploy machine learning models for a wide range of projects, including data analysis, natural language processing, image recognition and more. Upon completing this course, you'll have the skills required to tackle complex projects and confidently develop intelligent applications. You?ll be able to drive business outcomes, optimize processes, and contribute to innovative projects that leverage the power of data-driven insights and predictions. Introduction to Machine Learning and Scala Learning Outcome: Understand the fundamentals of machine learning and Scala's role in this domain. What is Machine Learning? Machine Learning with Scala: Advantages and Use Cases Supervised Learning in Scala Learn the basics of supervised learning and how to apply it using Scala. Supervised Learning: Regression and Classification Linear Regression in Scala Logistic Regression in Scala Unsupervised Learning in Scala Understand unsupervised learning and how to apply it using Scala. Unsupervised Learning:Clustering and Dimensionality Reduction K-means Clustering in Scala Principal Component Analysis in Scala Neural Networks and Deep Learning in Scala Learning Outcome: Learn the basics of neural networks and deep learning with a focus on implementing them in Scala. Introduction to Neural Networks Feedforward Neural Networks in Scala Deep Learning and Convolutional Neural Networks Introduction to Generative AI and GPT in Scala Gain a basic understanding of generative AI and GPT, and how to utilize GPT-Scala for natural language tasks. Generative AI: Overview and Use Cases Introduction to GPT (Generative Pre-trained Transformer) GPT-Scala: A Library for GPT in Scala Reinforcement Learning in Scala Understand the basics of reinforcement learning and its implementation in Scala. Introduction to Reinforcement Learning Q-learning and Value Iteration Reinforcement Learning with Scala Time Series Analysis using Scala Learn time series analysis techniques and how to apply them in Scala. Introduction to Time Series Analysis Autoregressive Integrated Moving Average (ARIMA) Models Time Series Analysis in Scala Natural Language Processing (NLP) with Scala Gain an understanding of natural language processing techniques and their application in Scala. Introduction to NLP: Techniques and Applications Text Processing and Feature Extraction NLP Libraries and Tools for Scala Image Processing and Computer Vision with Scala Learn image processing techniques and computer vision concepts with a focus on implementing them in Scala. Introduction to Image Processing and Computer Vision Feature Extraction and Image Classification Image Processing Libraries for Scala Model Evaluation and Validation Understand the importance of model evaluation and validation, and how to apply these concepts using Scala. Model Evaluation Metrics Cross-Validation Techniques Model Selection and Tuning in Scala Scalable Machine Learning with Scala Learn how to handle large-scale machine learning problems using Scala. Challenges of Large-Scale Machine Learning Data Partitioning and Parallelization Distributed Machine Learning with Scala Machine Learning Deployment and Production Understand the process of deploying machine learning models into production using Scala. Deployment Challenges and Best Practices Model Serialization and Deserialization Monitoring and Updating Models in Production Ensemble Learning Techniques in Scala Discover ensemble learning techniques and their implementation in Scala. Introduction to Ensemble Learning Bagging and Boosting Techniques Implementing Ensemble Models in Scala Feature Engineering for Machine Learning in Scala Learn advanced feature engineering techniques to improve machine learning model performance in Scala. Importance of Feature Engineering in Machine Learning Feature Scaling and Normalization Techniques Handling Missing Data and Categorical Features Advanced Optimization Techniques for Machine Learning Understand advanced optimization techniques for machine learning models and their application in Scala. Gradient Descent and Variants Regularization Techniques (L1 and L2) Hyperparameter Tuning Strategies