3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support
Essential CPD to deepen your understanding and develop your skills as a therapist CPD Certificate: 3 hours Length: 9.45am – 1.00pm (GMT) LIMITED PLACES – Feb date now full Join Ros Townsend live online on Tuesday 8th October 2024 for this important CPD course, designed specifically for mental health professionals interested in the human givens approach. BONUS – you will get a recording for 2 weeks afterwards to maximise your learning. There are many occasions when a client presents with an excessive emotional response and it is not immediately apparent why this is happening. Perhaps they know that they are ‘over-reacting’ in some way – getting very angry, very fearful – or are experiencing a driven urge to take a particular action – such as eating or having sex. This live online course will help you gain confidence in working safely and ethically with affect bridges to discover if an unhelpful pattern, in the form of a molar memory or sub-threshold trauma is at the root of their experience, allowing you to then determine collaboratively with your client the best ways of addressing that. During the course, there will be plenty of opportunity to ask questions of the tutor, and to engage in exercises and discussions with your peers and colleagues. Why take this course Whether you are a new HG therapist wanting to develop a clear understanding of how to utilise an affect bridge to determine if a molar memory or sub-threshold trauma is present, and to better understand the protocols for working with these, or whether you are an experienced HG practitioner looking to refresh your knowledge and delve deeper into understanding this valuable skillset, this course will help you gain the skills and understanding you need to do so safely and effectively. In an early article regarding molar memories, Joe Griffin termed them ‘an ancient mechanism that is ruining lives’; and the impact of such driven urges on the lives of our clients cannot be underestimated. Molar memories can, on first encountering the theory, seem complicated and unfathomable, but this course will set them – and sub-threshold traumas and the use of the affect bridge to access both – within a clear framework of understanding, linking back to the way in which our brain perceives things (referencing the APET model) and to RIGAAR (how we structure a good therapy session). During the course, numerous case studies will be shared and used as the basis for exercises, and there will be ample opportunity to link the learning to your own experiences in the therapy room. You will gain a clear understanding of: how to follow the treatment protocols for working with molar memories and sub-threshold traumas – adapting these, of course, to each client’s unique model of reality; how to safely and ethically utilise an affect bridge; and how to avoid the danger of creating any false memories. Ros is a brilliant teacher and presenter. She made the whole course interesting, engaging and informative as well as very supportive. She was also very patient with all our questions!GEMMA ROGERS, COUNSELLOR/COACH What the training covers: How APET and RIGAAR relate to one another Why an understanding of APET is essential when working with affect bridge What an affect bridge is How to use affect bridge safely and ethically within your therapy sessions How to avoid the risk of creating false memories Why we must proceed with caution when undertaking affect bridges when working online The difference (in this context) between ‘positive’ and ‘negative’ The tell-tale patterns of a sub-threshold trauma and a molar memory being present A framework to understand the presentations of both sub-threshold traumas and molar memories How to identify a sub-threshold trauma An understanding of the treatment protocol for sub-threshold traumas How to identify a molar memory An understanding of the treatment protocol for molar memories Why molar memories sometimes present differently in complex trauma How to use the understanding of APET and help clients to utilise affect bridge as a positive tool within their lives Who is this course suitable for? This course is designed for both trainee and fully-qualified HG therapists It is also suitable for any mental health professionals interested in the human givens approach It is recommended to all HG practitioners by the Human Givens Institute (HGI) Timings 9.45 am – Join Zoom 10.00 am – Course session starts 1.00 pm – Course ends In any online training it’s important to build in regular breaks and ensure that every 20 minutes there is a shift in focus of attention to pull the eyes away from the screen. There will be two 10–15 minute comfort breaks during the training and regular opportunities for discussion and exercises in break-out rooms. Meet your tutor Rosalind Townsend Ros Townsend is an experienced psychotherapist and supervisor with busy practices in SW England, where she combines private therapy work with referrals from Occupational Health and the NHS. Read more
Hydrodermabrasion Course *machine and other kit is not inlcuded. You will train using our equipment. What Is Hydrodermabrasion? This treatment is often mistaken for microdermabrasion, however, these two are different. Microdermabrasion is used to exfoliate your skin without any crystals, unlike microdermabrasion. The process is a lot more comfortable for your skin and is safe for sensitive skin as well. Course Content - History of Hydrodermabrasion - Anatomy and physiology - Contraindications - How to perform the treatment - Use of the machine - Aftercare How does the course work? The course is divided into 2 parts, the first part is theoretical which you have to complete before you come for your practical training, and the second one is a practical assignment. The practical assignment is done on the day which will be agreed upon course purchase. You will spend around 2-3 hours practising on a model in our venue in London E106RA. We will call you to arrange date once you sign up for the course. Will I require a model? Yes, usually 1 model is required Do I Need Experience Before Booking a Course? We’re pleased to offer courses to people with lots of different experiences. However, previous experience nor qualifications are not necessary if you would like to enrol on our Course. Certificate You will receive an end of course certificate which is accredited by the cpd group and allows you to work on public Payment By paying for the course you agree to our Terms and Conditions
Are you someone who manages a team or a department? Do you notice that your colleagues need some encouragement and you need to know how? Or are you an expert in guiding or mentoring anyone to become positive in life? Or have you heard about appreciative inquiry and want to apply it to your profession? Then this course will surely be able to help you learn the basics and important lessons on appreciative inquiry to be able to utilize it! Description: Learning about appreciative inquiry will help you look the best in people and how you will be able to utilize it for work and everyday life. In this course, you will be able to know the definition of appreciative inquiry then learn how to think in positive terms and avoid pessimism. You will also learn how to encourage others to do so. Moreover, you will learn to recognize positive attributes in people and how to create positive imagery. By learning the necessary skills you will also be able to manage and guide employees in a positive environment to succeed in their career and life in general. Who is the course for? Leaders or mentors and guide who want to know about appreciative inquiry and learn how to guide people in becoming positive with their career and outlook on their lives. People who have an interest in knowing about the appreciative inquiry. Entry Requirement: This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Assessment: At the end of the course, you will be required to sit an online multiple-choice test. Your test will be assessed automatically and immediately so that you will instantly know whether you have been successful. Before sitting for your final exam, you will have the opportunity to test your proficiency with a mock exam. Certification: After you have successfully passed the test, you will be able to obtain an Accredited Certificate of Achievement. You can however also obtain a Course Completion Certificate following the course completion without sitting for the test. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. PDF certificate's turnaround time is 24 hours and for the hardcopy certificate, it is 3-9 working days. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; Efficient exam systems for the assessment and instant result; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path: The Level 3 Diploma in Appreciative Inquiry course is a useful qualification to possess, and would be beneficial for the following careers: Businessmen Human Development Specialist Human Resource Manager Life Coach or Mentor Technical Supervisor. Level 3 Diploma in Appreciative Inquiry Module One - Getting Started 01:00:00 Module Two - Introducing Appreciative Inquiry 01:00:00 Module Three - Changing the Way You Think 00:30:00 Module Four - Four D Model 01:00:00 Module Five - Four I Model 01:00:00 Module Six - Appreciative Inquiry Interview Style 01:00:00 Module Seven - Anticipatory Reality 01:00:00 Module Eight - The Power of Positive Imagery 01:00:00 Module Nine - Influencing Change Through Appreciative Inquiry 01:00:00 Module Ten - Coaching and Managing With Appreciative Inquiry 01:00:00 Module Eleven - Creating a Positive Core 01:00:00 Module Twelve - Wrapping Up 01:00:00 Activities Level 3 Diploma in Appreciative Inquiry- Activities 00:00:00 Mock Exam Mock Exam- Level 3 Diploma in Appreciative Inquiry 00:20:00 Final Exam Final Exam- Level 3 Diploma in Appreciative Inquiry 00:20:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00
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Intermediate Modeling (6 hours) Advanced Polygon Modeling: Booleans, Deformers, and Surfaces Architectural Model Creation Sculpting Tools for Organic Shapes IV. Texturing and Materials (6 hours) Introduction to Texturing and Material Application Texture Mapping, UV Unwrapping, and Shaders Painting Textures with 3D Paint Tool V. Lighting and Rendering (6 hours) Basic and Advanced Lighting Techniques Realistic Lighting Environments Camera Setup, Composition, and Rendering VI. Animation (9 hours) Keyframe Animation and Animation Curves Character Rigging and Animation Complex Character Rigs, Lip Sync, Facial Animation, Dynamics, and Simulations VII. Rigging (4 hours) Skeleton Creation and Joint Binding Weight Maps and Simple to Complex Rigging Systems VIII. Special Effects (4 hours) Particle Systems, Fluid Dynamics, Fire, and Explosions Advanced Simulations with nCloth and nParticles Paint Effects and Mash Networks IX. Advanced Rendering Techniques (2 hours) Render Layers, Passes, and Global Illumination Mental Ray Rendering and Settings X. Conclusion and Next Steps (1 hour) Course Review, Tips for Further Learning Q&A Session and Feedback Please note that the course outline is flexible and can be tailored based on the learners' needs and proficiency levels. Autodesk Maya Basics to Advanced Level Course: Modeling: Surfaces, Control Vertex, Polygons, Extrusion Techniques, Subdiv Modeling, and More Deformations: Twist, Lattice, Flare, Bend Tools Shapes: Lines, Pen Tools, Surface Manipulation Techniques Animations: Keyframe Setup, Path Animations, Skeletons, IK Handles, Skinning Dynamics and Special Effects: Particle Systems, Fluid Dynamics, Lighting Effects, and Advanced Simulations Texturing and Rendering: Diffuse and Bump Mapping, Reflections, Shaders, Lights, and Camera Techniques Fluid Effects and Ncloth: 2D and 3D Containers, Collision Effects, Wind Simulations, and Gravity Control Rendering: Image and Animation Rendering, Playblast, Resolution Controls, and Output Formats. Advanced Modeling: Master intricate 3D models, including polygon, NURBS, and architectural modeling. Expert Texturing: Create realistic textures, apply shaders, and utilize the 3D paint tool. 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Duration 5 Days 30 CPD hours This course is intended for The skills covered in this course converge on four areas-software development, IT operations, applied math and statistics, and business analysis. Target students for this course should be looking to build upon their knowledge of the data science process so that they can apply AI systems, particularly machine learning models, to business problems. So, the target student is likely a data science practitioner, software developer, or business analyst looking to expand their knowledge of machine learning algorithms and how they can help create intelligent decisionmaking products that bring value to the business. A typical student in this course should have several years of experience with computing technology, including some aptitude in computer programming. This course is also designed to assist students in preparing for the CertNexus Certified Artificial Intelligence (AI) Practitioner (Exam AIP-210) certification Overview In this course, you will develop AI solutions for business problems. You will: Solve a given business problem using AI and ML. Prepare data for use in machine learning. Train, evaluate, and tune a machine learning model. Build linear regression models. Build forecasting models. Build classification models using logistic regression and k -nearest neighbor. Build clustering models. Build classification and regression models using decision trees and random forests. Build classification and regression models using support-vector machines (SVMs). Build artificial neural networks for deep learning. Put machine learning models into operation using automated processes. Maintain machine learning pipelines and models while they are in production Artificial intelligence (AI) and machine learning (ML) have become essential parts of the toolset for many organizations. When used effectively, these tools provide actionable insights that drive critical decisions and enable organizations to create exciting, new, and innovative products and services. This course shows you how to apply various approaches and algorithms to solve business problems through AI and ML, all while following a methodical workflow for developing data-driven solutions. Solving Business Problems Using AI and ML Topic A: Identify AI and ML Solutions for Business Problems Topic B: Formulate a Machine Learning Problem Topic C: Select Approaches to Machine Learning Preparing Data Topic A: Collect Data Topic B: Transform Data Topic C: Engineer Features Topic D: Work with Unstructured Data Training, Evaluating, and Tuning a Machine Learning Model Topic A: Train a Machine Learning Model Topic B: Evaluate and Tune a Machine Learning Model Building Linear Regression Models Topic A: Build Regression Models Using Linear Algebra Topic B: Build Regularized Linear Regression Models Topic C: Build Iterative Linear Regression Models Building Forecasting Models Topic A: Build Univariate Time Series Models Topic B: Build Multivariate Time Series Models Building Classification Models Using Logistic Regression and k-Nearest Neighbor Topic A: Train Binary Classification Models Using Logistic Regression Topic B: Train Binary Classification Models Using k-Nearest Neighbor Topic C: Train Multi-Class Classification Models Topic D: Evaluate Classification Models Topic E: Tune Classification Models Building Clustering Models Topic A: Build k-Means Clustering Models Topic B: Build Hierarchical Clustering Models Building Decision Trees and Random Forests Topic A: Build Decision Tree Models Topic B: Build Random Forest Models Building Support-Vector Machines Topic A: Build SVM Models for Classification Topic B: Build SVM Models for Regression Building Artificial Neural Networks Topic A: Build Multi-Layer Perceptrons (MLP) Topic B: Build Convolutional Neural Networks (CNN) Topic C: Build Recurrent Neural Networks (RNN) Operationalizing Machine Learning Models Topic A: Deploy Machine Learning Models Topic B: Automate the Machine Learning Process with MLOps Topic C: Integrate Models into Machine Learning Systems Maintaining Machine Learning Operations Topic A: Secure Machine Learning Pipelines Topic B: Maintain Models in Production
The course is crafted to help you understand not only the role and impact of recommender systems in real-world applications but also provide hands-on experience in developing complete recommender systems engines for your customized dataset using projects. This learning-by-doing course will help you master the concepts and methodology of Python.