Do you want to prepare for your dream job but strive hard to find the right courses? Then, stop worrying, for our strategically modified Level 3 Early Years Teaching and Child Care bundle will keep you up to date with the relevant knowledge and most recent matters of this emerging field. So, invest your money and effort in our 33 course mega bundle that will exceed your expectations within your budget. The Level 3 Early Years Teaching and Child Care related fields are thriving across the UK, and recruiters are hiring the most knowledgeable and proficient candidates. It's a demanding field with magnitudes of lucrative choices. If you need more guidance to specialise in this area and need help knowing where to start, then StudyHub proposes a preparatory bundle. This comprehensive Level 3 Early Years Teaching and Child Care bundle will help you build a solid foundation to become a proficient worker in the sector. This Level 3 Early Years Teaching and Child Care Bundle consists of the following 30 CPD Accredited Premium courses - Course 01 :Teaching Assistant Diploma Course 02 :Child Care Diploma Level 3 Course 03 :Safeguarding and Child Protection Training Course 04 :SEND Teaching Assistant Course 05 :EYFS Teaching Assistant Course 06 :Phonics Teaching Certificate Course 07 :Lesson Planning for Teaching Course 08 :Child Nutrition Course 09 :Team Management Course 10 :Problem Solving Skills Course 11 :Leadership Skills Course 12 :Presentation Skills Course 13 :Microsoft Office Course 14 :Communication Skills Course 15 :Learning Disability Nursing Course 16 :Education Management Course 17 :Education and Pedagogy Course 18 :Blended Learning Course for Teachers Course 19 :Understanding Autism Level 3 Course 20 :Health and Safety Training for School Administrators Course 21 :ADHD Awareness Course 22 :Nursery Nurse Course 23 :Mental Health Teaching Assistant Course 24 :Leadership in Teaching Course 25: Positive Handling in Schools Course 26: Learning to Learn - Super Learning Course 27: Educational Psychology Course 28: Child Language Disorder (CLD) Course 29: Child Playwork Course 30: Child Neglect Awareness & Protection 3 Extraordinary Career Oriented courses that will assist you in reimagining your thriving techniques- Course 01 :Career Development Plan Fundamentals Course 02 :CV Writing and Job Searching Course 03 :Interview Skills: Ace the Interview Learning Outcome This tailor-made Level 3 Early Years Teaching and Child Care bundle will allow you to- Uncover your skills and aptitudes to break new ground in the related fields Deep dive into the fundamental knowledge Acquire some hard and soft skills in this area Gain some transferable skills to elevate your performance Maintain good report with your clients and staff Gain necessary office skills and be tech savvy utilising relevant software Keep records of your work and make a report Know the regulations around this area Reinforce your career with specific knowledge of this field Know your legal and ethical responsibility as a professional in the related field This Level 3 Early Years Teaching and Child Care Bundle resources were created with the help of industry experts, and all subject-related information is kept updated on a regular basis to avoid learners from falling behind on the latest developments. Certification After studying the complete training you will be able to take the assessment. After successfully passing the assessment you will be able to claim all courses pdf certificates and 1 hardcopy certificate for the Title Course completely free. Other Hard Copy certificates need to be ordered at an additional cost of •8. CPD 330 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Ambitious learners who want to strengthen their CV for their desired job should take advantage of the Early Years Teaching and Child Care bundle! This bundle is also ideal for professionals looking for career advancement. Requirements To participate in this course, all you need is - A smart device A secure internet connection And a keen interest in Early Years Teaching and Child Care Career path Upon completing this essential Bundle, you will discover a new world of endless possibilities. These courses will help you to get a cut above the rest and allow you to be more efficient in the relevant fields.
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
Earn 35 PDUs or contact hours toward your Project Management education for certification with PMI®. Become PMP® certified today!
3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support
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3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support
3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | 10 CPD Courses | Lifetime Access | 24/7 Tutor Support
10 QLS Endorsed Courses for Forex Trader | 10 QLS Hard Copy Certificates Included | Lifetime Access | Tutor Support
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Mastering Critical Conversations (On-Demand) We will explore various obstacles to delivering 'challenging' messages effectively, including those that come from the external environment as well as those we encounter internally. After gaining insight into the brain science behind the biology of conflict and emotion, we will then examine a 5-step framework for delivering difficult messages. Paired and small group activities comprise a large portion of this interactive course, which culminates in a role play. What you will Learn At the end of this program, you will be able to: Recognize how a perceived threat by the brain translates into a physiological response of fight, flight, or freeze Utilize various techniques to mitigate an 'amygdala hijack' state Leverage a 5-step model to deliver 'challenging' news effectively Managing Difficult Conversations Obstacles to managing difficult conversations Understanding human nature Brain Science and the Biology of Emotion The unique challenge of social and emotional learning The limbic system and the amygdala hijack Self-regulation strategy for the amygdala hijack Delivering Challenging Messages Managing difficult conversations 5 steps for delivering a challenging message Verbal active listening techniques Preparing to deliver a challenging message (scenarios) Conversations Involving Emotion and Conflict Two types of conflict Spectrum of responses to conflict Psychological type preferences and conflict Critical conversation role play Creating an action plan