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The Level 6 Diploma in Teaching and Learning course is self-paced and can be taken from the comfort of your home, office, or on the go! With our Student ID card you will get discounts on things like music, food, travel and clothes etc. In this exclusive Level 6 Diploma in Teaching and Learning bundle, you really hit the jackpot. Here's what you get: Step by step Level 6 Diploma in Teaching and Learning lessons One to one assistance from Level 6 Diploma in Teaching and Learningprofessionals if you need it Innovative exams to test your knowledge after the Level 6 Diploma in Teaching and Learningcourse 24/7 customer support should you encounter any hiccups Top-class learning portal Unlimited lifetime access to all twenty-five Level 6 Diploma in Teaching and Learning courses Digital Certificate, Transcript and student ID are all included in the price PDF certificate immediately after passing Original copies of your Level 6 Diploma in Teaching and Learning certificate and transcript on the next working day Easily learn the Level 6 Diploma in Teaching and Learning skills and knowledge you want from the comfort of your home CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This Level 6 Diploma in Teaching and Learning training is suitable for - Students Recent graduates Job Seekers Individuals who are already employed in the relevant sectors and wish to enhance their knowledge and expertise in Level 6 Diploma in Teaching and Learning This course is suitable for anyone interested to further progress there career in: NCFE Supporting Teaching and Learning in Schools Level 2 Award - Supporting Teaching and Learning in Schools Level 2 Certificate in Supporting Teaching and Learning in Schools Level 3 Certificate in Supporting Teaching and Learning in Schools Level 3 Award in Supporting Teaching and Learning in Schools (RQF) Level 3 Diploma in Specialist Support for Teaching and Learning in Schools (RQF) Level 3 Award - Supporting Teaching and Learning OTHM Level 6 Diploma in Teaching and Learning Requirements To participate in this Level 6 Diploma in Teaching and Learning course, all you need is - A smart device A secure internet connection And a keen interest in Level 6 Diploma in Teaching and Learning Career path You will be able to kickstart your Level 6 Diploma in Teaching and Learning career because this course includes various courses as a bonus. 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48-Hour Knowledge Knockdown! Prices Reduced Like Never Before! Get a Free 1 QLS Endorsed Certificate Course with 10 Additional CPDQS Accredited Bundle Courses In A Single Payment. If you wish to gain a solid and compact knowledge of Learning Support Assistant and boost your career, then take a step in the right direction with this industry-standard, comprehensive Learning Support Assistant bundle of courses, which are well organised. This Learning Support Assistant bundle package includes 1 Premium, The Quality Licence Scheme-endorsed course, 10 additional CPDQS Accredited Certificate courses, with expert assistance, and a FREE courses assessment included. Learn a range of in-demand technical skills to help you progress in your career with 12 months of unlimited access to this bundle of courses. If you enrol in this Learning Support Assistant package, you will not be charged any extra fees. This Learning Support Assistant Bundle Package includes: Course 01: Diploma in Learning Support Assistant at QLS Level 4 10 Additional CPD Accredited Premium Courses - Course 1: Learning Disability Awareness Course 2: Understanding Autism Course 3: Child-Psychology Course 4: Super Learning Course 5: Education and Pedagogy Course 6: School Administrator Course 7: Remote Teaching Strategies Course 8: EYFS Teaching Assistant Course 9: Teaching Phonics Course 10: Home Education Success becomes a lot simpler with this Learning Support Assistant bundle package, which allows you to monetise your skills. This Learning Support Assistant bundle is appropriate for both part-time and full-time students, and it can be completed at your own pace. This premium Learning Support Assistant bundle of courses helps your professional development by receiving an endorsement from the Quality Licence Scheme and CPDQS Accredited Certificate. You'll be able to practice in your own time and speed. The course materials for Learning Support Assistant are designed by experts, and you can access them. easily from any of your smartphones, laptops, PCs, tablets, etc. Master the skills. You need to arm yourself with the necessary qualities and explore your career opportunities in relevant sectors. Why Prefer This Learning Support Assistant Bundle? You will receive a completely free certificate from the Quality Licence Scheme. Option to receive 10 additional certificates accredited by CPDQS Get a free student ID card! (£10 postal charges will be applicable for international delivery) Engaging voiceover and visual elements for your convenience. Complete the bundle at your own pace. Free assessments and immediate results. 24/7 tutor support. *** Course Curriculum: *** Course 1: Diploma in Learning Support Assistant Level 4 Module 1: The Roles of a Learning Support Assistant (LSA) Module 2: Working with Children in a School Module 3: Assessing Students Module 4: Skills of a Learning Support Assistant Module 5: Providing for All Children Module 6: Safeguarding and Wellbeing of Children and Young People Module 7: Dealing with Emergencies Module 8: SEN Module 9: Professional Development Module 10: Time and Stress Management Course 2: Learning Disability Awareness Course 3: Understanding Autism Course 4: Child-Psychology Course 5: Super Learning Course 6: Education and Pedagogy Course 7: School Administrator Course 8: Remote Teaching Strategies Course 9: EYFS Teaching Assistant Course 10: Teaching Phonics Course 11: Home Education How is the Learning Support Assistant Bundle Assessment Process? We offer an integrated assessment framework to make the process of evaluation and accreditation for learners easier. You have to complete the assignment questions given at the end of the course and score a minimum of 60% to pass each exam. Our expert trainers will assess your assignment and give you feedback after you submit the assignment. You will be entitled to claim a certificate endorsed by the Quality Licence Scheme after you have completed all of the exams. CPD 220 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is perfect for highly motivated people who want to improve their technical skills and prepare for the career they want! Requirements No prior background or expertise is required. Career path The bundle aims to help you get the job or even the long-awaited promotion of your dreams. Certificates CPD Accredited Certificate Digital certificate - Included Upon passing the Bundle, you need to order to receive a Digital Certificate for each of the courses inside this bundle as proof of your new skills that are accredited by CPD . CPD Accredited Certificate Hard copy certificate - Included International students are subject to a £10 delivery fee for their orders, based on their location. Diploma in Learning Support Assistant Level 4 Hard copy certificate - Included

Kickstart your journey into deep learning and gain a strong understanding of deep neural networks through practical exercises. Develop your intuition and learn the fundamentals of artificial neural networks, activation functions, and loss functions. Gain practical experience with Python and TensorFlow 2.x, and apply your skills to build powerful deep learning models.

[vc_row][vc_column][vc_column_text] Description The role of the Learning & Development professional is constantly evolving and your organisation and trainees have different and higher expectations of what you will provide for them. The Learning and Development Manager aims to develop effective and responsible change agents to design, develop and operationalise strategic plans within their areas of responsibility and emphasises skills development around Coaching, Human Resource Management and Online Learning Development. This course covers the entire process of delivering training, including assessment, preparation, creating a positive learning environment, facilitating learning, and evaluating learning. It will also provide a comprehensive understanding of establishing and running an effective organisational coaching system, social media and IT in training, contemporary developments in the profession, and becoming a learning and development specialist. This course is specifically targeted at those who currently hold coordination, managerial and supervisory responsibilities in corporate Learning and Development roles; as well as new participants entering this sector. 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 completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Learning and Development Manager is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Learning and Development Manager is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Module: 01 Introduction 00:30:00 Monitoring 00:30:00 Coaching 00:30:00 Organizational Learning 00:30:00 Module: 02 Organizational Development Stages 00:30:00 Measuring L & D 00:15:00 Evaluating Training Impact 00:45:00 Blended Learning 00:20:00 Digital Learning 00:30:00 Mock Exam Mock Exam - Learning and Development Manager 00:20:00 Final Exam Final Exam - Learning and Development Manager 00:20:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Embark on a journey to become a proficient Learning Disability Nurse. This course offers a deep dive into autism, therapeutic approaches, child development, and effective communication. Learn to create impactful care plans and support the well-being of individuals with learning disabilities.

2 QLS Endorsed Course | CPD Certified | Free PDF + Hardcopy Certificates | 80 CPD Points | Lifetime Access

A code-oriented interactive course that will help you build a solid foundation that is essential to excel in all areas of computer science, specifically data science and machine learning. We will apply all concepts through code and focus on the concepts that are more useful for data science, machine learning, and other areas of computer science.

Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Welcome to the course Introduction 00:02:00 Setting up R Studio and R crash course Installing R and R studio 00:05:00 Basics of R and R studio 00:10:00 Packages in R 00:10:00 Inputting data part 1: Inbuilt datasets of R 00:04:00 Inputting data part 2: Manual data entry 00:03:00 Inputting data part 3: Importing from CSV or Text files 00:06:00 Creating Barplots in R 00:13:00 Creating Histograms in R 00:06:00 Basics of Statistics Types of Data 00:04:00 Types of Statistics 00:02:00 Describing the data graphically 00:11:00 Measures of Centers 00:07:00 Measures of Dispersion 00:04:00 Introduction to Machine Learning Introduction to Machine Learning 00:16:00 Building a Machine Learning Model 00:08:00 Data Preprocessing for Regression Analysis Gathering Business Knowledge 00:03:00 Data Exploration 00:03:00 The Data and the Data Dictionary 00:07:00 Importing the dataset into R 00:03:00 Univariate Analysis and EDD 00:03:00 EDD in R 00:12:00 Outlier Treatment 00:04:00 Outlier Treatment in R 00:04:00 Missing Value imputation 00:03:00 Missing Value imputation in R 00:03:00 Seasonality in Data 00:03:00 Bi-variate Analysis and Variable Transformation 00:16:00 Variable transformation in R 00:09:00 Non Usable Variables 00:04:00 Dummy variable creation: Handling qualitative data 00:04:00 Dummy variable creation in R 00:05:00 Correlation Matrix and cause-effect relationship 00:10:00 Correlation Matrix in R 00:08:00 Linear Regression Model The problem statement 00:01:00 Basic equations and Ordinary Least Squared (OLS) method 00:08:00 Assessing Accuracy of predicted coefficients 00:14:00 Assessing Model Accuracy - RSE and R squared 00:07:00 Simple Linear Regression in R 00:07:00 Multiple Linear Regression 00:05:00 The F - statistic 00:08:00 Interpreting result for categorical Variable 00:05:00 Multiple Linear Regression in R 00:07:00 Test-Train split 00:09:00 Bias Variance trade-off 00:06:00 Test-Train Split in R 00:08:00 Regression models other than OLS Linear models other than OLS 00:04:00 Subset Selection techniques 00:11:00 Subset selection in R 00:07:00 Shrinkage methods - Ridge Regression and The Lasso 00:07:00 Ridge regression and Lasso in R 00:12:00 Classification Models: Data Preparation The Data and the Data Dictionary 00:08:00 Importing the dataset into R 00:03:00 EDD in R 00:11:00 Outlier Treatment in R 00:04:00 Missing Value imputation in R 00:03:00 Variable transformation in R 00:06:00 Dummy variable creation in R 00:05:00 The Three classification models Three Classifiers and the problem statement 00:03:00 Why can't we use Linear Regression? 00:04:00 Logistic Regression Logistic Regression 00:08:00 Training a Simple Logistic model in R 00:03:00 Results of Simple Logistic Regression 00:05:00 Logistic with multiple predictors 00:02:00 Training multiple predictor Logistic model in R 00:01:00 Confusion Matrix 00:03:00 Evaluating Model performance 00:07:00 Predicting probabilities, assigning classes and making Confusion Matrix in R 00:06:00 Linear Discriminant Analysis Linear Discriminant Analysis 00:09:00 Linear Discriminant Analysis in R 00:09:00 K-Nearest Neighbors Test-Train Split 00:09:00 Test-Train Split in R 00:08:00 K-Nearest Neighbors classifier 00:08:00 K-Nearest Neighbors in R 00:08:00 Comparing results from 3 models Understanding the results of classification models 00:06:00 Summary of the three models 00:04:00 Simple Decision Trees Basics of Decision Trees 00:10:00 Understanding a Regression Tree 00:10:00 The stopping criteria for controlling tree growth 00:03:00 The Data set for this part 00:03:00 Importing the Data set into R 00:06:00 Splitting Data into Test and Train Set in R 00:05:00 Building a Regression Tree in R 00:14:00 Pruning a tree 00:04:00 Pruning a Tree in R 00:09:00 Simple Classification Tree Classification Trees 00:06:00 The Data set for Classification problem 00:01:00 Building a classification Tree in R 00:09:00 Advantages and Disadvantages of Decision Trees 00:01:00 Ensemble technique 1 - Bagging Bagging 00:06:00 Bagging in R 00:06:00 Ensemble technique 2 - Random Forest Random Forest technique 00:04:00 Random Forest in R 00:04:00 Ensemble technique 3 - GBM, AdaBoost and XGBoost Boosting techniques 00:07:00 Gradient Boosting in R 00:07:00 AdaBoosting in R 00:09:00 XGBoosting in R 00:16:00 Maximum Margin Classifier Content flow 00:01:00 The Concept of a Hyperplane 00:05:00 Maximum Margin Classifier 00:03:00 Limitations of Maximum Margin Classifier 00:02:00 Support Vector Classifier Support Vector classifiers 00:10:00 Limitations of Support Vector Classifiers 00:01:00 Support Vector Machines Kernel Based Support Vector Machines 00:06:00 Creating Support Vector Machine Model in R The Data set for the Classification problem 00:01:00 Importing Data into R 00:08:00 Test-Train Split 00:09:00 Classification SVM model using Linear Kernel 00:16:00 Hyperparameter Tuning for Linear Kernel 00:06:00 Polynomial Kernel with Hyperparameter Tuning 00:10:00 Radial Kernel with Hyperparameter Tuning 00:06:00 The Data set for the Regression problem 00:03:00 SVM based Regression Model in R 00:11:00 Assessment Assessment - Machine Learning Masterclass 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.