We always need to ensure a structured and insightful interview process that accurately assesses candidates' qualifications, skills, and fit for the role and organization. This involves preparing relevant interview questions, establishing a welcoming and professional atmosphere, and conducting fair and thorough evaluations. By implementing best practices such as active listening, behavioral interviewing, and standardized evaluation criteria, the goal is to streamline the hiring process, identify top talent, and make informed hiring decisions that contribute to the organization's success. Learning Objectives The following are some of the key outcomes in this course: Learn seven steps you should take before the interview starts. Learn some best practices for strong interview questions. Explore four tips to create a professional, polished, and productive interview experience. Understand why follow-up is important, as well as what to say and how to do it effectively. Explore ways to reduce your bias as an interviewer so that you can promote diversity, inclusion, and objectivity in your interview and hiring processes. Target Audience Human Resources Professionals. Managers, Team Leaders, Young Professionals
This course provides an in-depth exploration of quality education provision, encompassing the UK education system, policy analysis, quality assurance, and effective learning delivery modes. Participants will gain insights into educational standards, policy impact, and evidence-based approaches to support high-quality teaching. The course emphasizes addressing learner needs, evaluating educational policies, and implementing lean management principles. After the successful completion of the course, you will be able to learn about the following, Understand the UK Education System, including Compulsory Education, Higher Education, Studying as an International Student, Tuition Fees, and Teacher's Standards. Analyze Education Policies, including Assessment Standards, Policy Content, and the Impact of Educational Policy Changes in the UK and Europe. Evaluate the concept of Quality Education, examining Quality Assurance Agencies, Strategies, and Evidence-based Approaches to Support High-quality Teaching. Identify the importance of addressing Learner needs and expectations, considering Educational Standards and the role of Lead Practitioners and Staff Involvement. Explore various Learning Delivery Modes and their Monitoring and Evaluation in Education, along with the concept of Lean Management. Uncover the nuances of the UK education system, from compulsory education to higher education, studying as an international student, tuition fees, and teacher's standards. Dive into the analysis of education policies, including assessment standards and the impact of policy changes. Evaluate the concept of quality education, exploring assurance agencies, strategies, and evidence-based approaches. Identify the importance of addressing learner needs and expectations, considering educational standards and the role of lead practitioners. Explore various learning delivery modes, their monitoring, evaluation, and the application of lean management principles in education. This is a comprehensive course that navigates participants through the intricacies of the UK education system, policies, and quality assurance. With a focus on learner needs, educational standards, and evidence-based strategies, participants will develop the skills necessary to ensure high-quality education provision. This course is ideal for professionals seeking to make a positive impact on education policy, standards, and delivery modes. Course Structure and Assessment Guidelines Watch this video to gain further insight. Navigating the MSBM Study Portal Watch this video to gain further insight. Interacting with Lectures/Learning Components Watch this video to gain further insight. Quality Education Provision in Policy and Standards Self-paced pre-recorded learning content on this topic. Quality Education Provision in Policy and Standards Put your knowledge to the test with this quiz. Read each question carefully and choose the response that you feel is correct. All MSBM courses are accredited by the relevant partners and awarding bodies. Please refer to MSBM accreditation in about us for more details. There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course.The certificate is designed to enhance the learner's knowledge in the field. This certificate is for everyone eager to know more and get updated on current ideas in their respective field. We recommend this certificate for the following audience. Education Policy Analyst Quality Assurance Specialist Learning Experience Coordinator Lead Practitioner in Education Educational Standards Officer Policy Impact Analyst Education Strategy Consultant Tuition Fees Manager International Student Advisor Lean Management Specialist Average Completion Time 2 Weeks Accreditation 3 CPD Hours Level Advanced Start Time Anytime 100% Online Study online with ease. Unlimited Access 24/7 unlimited access with pre-recorded lectures. Low Fees Our fees are low and easy to pay online.
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Certificate immediately upon course completion 100% Money back guarantee Exclusive discounts on your next course purchase from Institute of Mental Health Enrolling in the Deep Learning & Neural Networks Python - Keras: For Dummies course can assist you in getting into your desired career quicker than you ever imagined. So without further ado, start now. Process of Evaluation After studying the Deep Learning & Neural Networks Python - Keras: For Dummies course, your skills and knowledge will be tested with a MCQ exam or assignment. You must get a score of 60% to pass the test and get your certificate. Certificate of Achievement Upon successfully completing the Deep Learning & Neural Networks Python - Keras: For Dummies course, you will get your CPD accredited digital certificate immediately. And you can also claim the hardcopy certificate completely free of charge. All you have to do is pay a shipping charge of just £3.99. Who Is This Course for? This Deep Learning & Neural Networks Python - Keras: For Dummies is suitable for anyone aspiring to start a career in Deep Learning & Neural Networks Python - Keras: For Dummies; even if you are new to this and have no prior knowledge on Deep Learning & Neural Networks Python - Keras: For Dummies, this course is going to be very easy for you to understand. And if you are already working in the Deep Learning & Neural Networks Python - Keras: For Dummies field, this course will be a great source of knowledge for you to improve your existing skills and take them to the next level. Taking this Deep Learning & Neural Networks Python - Keras: For Dummies course is a win-win for you in all aspects. This course has been developed with maximum flexibility and accessibility, making it ideal for people who don't have the time to devote to traditional education. Requirements This Deep Learning & Neural Networks Python - Keras: For Dummies course has no prerequisite. You don't need any educational qualification or experience to enrol in the Deep Learning & Neural Networks Python - Keras: For Dummies course. Do note: you must be at least 16 years old to enrol. Any internet-connected device, such as a computer, tablet, or smartphone, can access this online Deep Learning & Neural Networks Python - Keras: For Dummies course. Moreover, this course allows you to learn at your own pace while developing transferable and marketable skills. Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:11:00 Deep Learning Overview Deep Learning Overview - Theory Session - Part 1 00:06:00 Deep Learning Overview - Theory Session - Part 2 00:07:00 Choosing Between ML or DL for the next AI project - Quick Theory Session Choosing Between ML or DL for the next AI project - Quick Theory Session 00:09:00 Preparing Your Computer Preparing Your Computer - Part 1 00:07:00 Preparing Your Computer - Part 2 00:06:00 Python Basics Python Basics - Assignment 00:09:00 Python Basics - Flow Control 00:09:00 Python Basics - Functions 00:04:00 Python Basics - Data Structures 00:12:00 Theano Library Installation and Sample Program to Test Theano Library Installation and Sample Program to Test 00:11:00 TensorFlow library Installation and Sample Program to Test TensorFlow library Installation and Sample Program to Test 00:09:00 Keras Installation and Switching Theano and TensorFlow Backends Keras Installation and Switching Theano and TensorFlow Backends 00:10:00 Explaining Multi-Layer Perceptron Concepts Explaining Multi-Layer Perceptron Concepts 00:03:00 Explaining Neural Networks Steps and Terminology Explaining Neural Networks Steps and Terminology 00:10:00 First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset First Neural Network with Keras - Understanding Pima Indian Diabetes Dataset 00:07:00 Explaining Training and Evaluation Concepts Explaining Training and Evaluation Concepts 00:11:00 Pima Indian Model - Steps Explained Pima Indian Model - Steps Explained - Part 1 00:09:00 Pima Indian Model - Steps Explained - Part 2 00:07:00 Coding the Pima Indian Model Coding the Pima Indian Model - Part 1 00:11:00 Coding the Pima Indian Model - Part 2 00:09:00 Pima Indian Model - Performance Evaluation Pima Indian Model - Performance Evaluation - Automatic Verification 00:06:00 Pima Indian Model - Performance Evaluation - Manual Verification 00:08:00 Pima Indian Model - Performance Evaluation - k-fold Validation - Keras Pima Indian Model - Performance Evaluation - k-fold Validation - Keras 00:10:00 Pima Indian Model - Performance Evaluation - Hyper Parameters Pima Indian Model - Performance Evaluation - Hyper Parameters 00:12:00 Understanding Iris Flower Multi-Class Dataset Understanding Iris Flower Multi-Class Dataset 00:08:00 Developing the Iris Flower Multi-Class Model Developing the Iris Flower Multi-Class Model - Part 1 00:09:00 Developing the Iris Flower Multi-Class Model - Part 2 00:06:00 Developing the Iris Flower Multi-Class Model - Part 3 00:09:00 Understanding the Sonar Returns Dataset Understanding the Sonar Returns Dataset 00:07:00 Developing the Sonar Returns Model Developing the Sonar Returns Model 00:10:00 Sonar Performance Improvement - Data Preparation - Standardization Sonar Performance Improvement - Data Preparation - Standardization 00:15:00 Sonar Performance Improvement - Layer Tuning for Smaller Network Sonar Performance Improvement - Layer Tuning for Smaller Network 00:07:00 Sonar Performance Improvement - Layer Tuning for Larger Network Sonar Performance Improvement - Layer Tuning for Larger Network 00:06:00 Understanding the Boston Housing Regression Dataset Understanding the Boston Housing Regression Dataset 00:07:00 Developing the Boston Housing Baseline Model Developing the Boston Housing Baseline Model 00:08:00 Boston Performance Improvement by Standardization Boston Performance Improvement by Standardization 00:07:00 Boston Performance Improvement by Deeper Network Tuning Boston Performance Improvement by Deeper Network Tuning 00:05:00 Boston Performance Improvement by Wider Network Tuning Boston Performance Improvement by Wider Network Tuning 00:04:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 1 00:09:00 Save & Load the Trained Model as JSON File (Pima Indian Dataset) - Part 2 00:08:00 Save and Load Model as YAML File - Pima Indian Dataset Save and Load Model as YAML File - Pima Indian Dataset 00:05:00 Load and Predict using the Pima Indian Diabetes Model Load and Predict using the Pima Indian Diabetes Model 00:09:00 Load and Predict using the Iris Flower Multi-Class Model Load and Predict using the Iris Flower Multi-Class Model 00:08:00 Load and Predict using the Sonar Returns Model Load and Predict using the Sonar Returns Model 00:10:00 Load and Predict using the Boston Housing Regression Model Load and Predict using the Boston Housing Regression Model 00:08:00 An Introduction to Checkpointing An Introduction to Checkpointing 00:06:00 Checkpoint Neural Network Model Improvements Checkpoint Neural Network Model Improvements 00:10:00 Checkpoint Neural Network Best Model Checkpoint Neural Network Best Model 00:04:00 Loading the Saved Checkpoint Loading the Saved Checkpoint 00:05:00 Plotting Model Behavior History Plotting Model Behavior History - Introduction 00:06:00 Plotting Model Behavior History - Coding 00:08:00 Dropout Regularization - Visible Layer Dropout Regularization - Visible Layer - Part 1 00:11:00 Dropout Regularization - Visible Layer - Part 2 00:06:00 Dropout Regularization - Hidden Layer Dropout Regularization - Hidden Layer 00:06:00 Learning Rate Schedule using Ionosphere Dataset - Intro Learning Rate Schedule using Ionosphere Dataset 00:06:00 Time Based Learning Rate Schedule Time Based Learning Rate Schedule - Part 1 00:07:00 Time Based Learning Rate Schedule - Part 2 00:12:00 Drop Based Learning Rate Schedule Drop Based Learning Rate Schedule - Part 1 00:07:00 Drop Based Learning Rate Schedule - Part 2 00:08:00 Convolutional Neural Networks - Introduction Convolutional Neural Networks - Part 1 00:11:00 Convolutional Neural Networks - Part 2 00:06:00 MNIST Handwritten Digit Recognition Dataset Introduction to MNIST Handwritten Digit Recognition Dataset 00:06:00 Downloading and Testing MNIST Handwritten Digit Recognition Dataset 00:10:00 MNIST Multi-Layer Perceptron Model Development MNIST Multi-Layer Perceptron Model Development - Part 1 00:11:00 MNIST Multi-Layer Perceptron Model Development - Part 2 00:06:00 Convolutional Neural Network Model using MNIST Convolutional Neural Network Model using MNIST - Part 1 00:13:00 Convolutional Neural Network Model using MNIST - Part 2 00:12:00 Large CNN using MNIST Large CNN using MNIST 00:09:00 Load and Predict using the MNIST CNN Model Load and Predict using the MNIST CNN Model 00:14:00 Introduction to Image Augmentation using Keras Introduction to Image Augmentation using Keras 00:11:00 Augmentation using Sample Wise Standardization Augmentation using Sample Wise Standardization 00:10:00 Augmentation using Feature Wise Standardization & ZCA Whitening Augmentation using Feature Wise Standardization & ZCA Whitening 00:04:00 Augmentation using Rotation and Flipping Augmentation using Rotation and Flipping 00:04:00 Saving Augmentation Saving Augmentation 00:05:00 CIFAR-10 Object Recognition Dataset - Understanding and Loading CIFAR-10 Object Recognition Dataset - Understanding and Loading 00:12:00 Simple CNN using CIFAR-10 Dataset Simple CNN using CIFAR-10 Dataset - Part 1 00:09:00 Simple CNN using CIFAR-10 Dataset - Part 2 00:06:00 Simple CNN using CIFAR-10 Dataset - Part 3 00:08:00 Train and Save CIFAR-10 Model Train and Save CIFAR-10 Model 00:08:00 Load and Predict using CIFAR-10 CNN Model Load and Predict using CIFAR-10 CNN Model 00:16:00 RECOMENDED READINGS Recomended Readings 00:00:00
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The Lesson Plans for Teachers course provides comprehensive training on planning and delivering effective lessons. Participants will learn about curriculum development, lesson structure, teaching methodology, setting objectives, and assessment techniques to enhance their teaching skills and create engaging lesson plans. Learning Outcomes: Understand the fundamentals of planning and preparation in teaching to create effective lesson plans. Gain knowledge of curriculum development and its importance in shaping lesson content. Learn various teaching methodologies and techniques to engage students and facilitate effective learning. Set clear learning objectives and aims for each lesson to ensure meaningful learning outcomes. Explore different assessment and evaluation methods to measure student progress and adapt teaching strategies accordingly. Why buy this Lesson Planning for Teaching? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Lesson Planning for Teaching 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. Who is this course for? Aspiring teachers who want to improve their lesson planning and teaching skills. Current educators looking to enhance their teaching techniques and create more effective lesson plans. Prerequisites This Lesson Planning for Teaching does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Lesson Planning for Teaching 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. Career path Classroom Teacher: Plan and deliver engaging lessons across various subjects and grade levels. Education Coordinator: Oversee curriculum development and teacher training in educational institutions. Curriculum Developer: Design and implement educational materials and lesson plans for schools and organizations. Teaching Assistant: Support teachers in lesson planning and classroom management activities. Educational Consultant: Provide expertise and guidance on effective teaching practices to schools and educational organizations. Course Curriculum Module 01: An Introduction to Planning and Teaching An Introduction to Planning and Teaching 00:12:00 Module 02: Planning and Preparation in Teaching Planning and Preparation in Teaching 00:35:00 Module 03: Curriculum Curriculum 00:13:00 Module 04: Structure and Format Structure and Format 00:17:00 Module 05: Methodology Methodology 00:20:00 Module 06: Objectives and Learning Aims Objectives and Learning Aims 00:12:00 Module 07: Assessment and Evaluation Assessment and Evaluation 00:30:00 Assignment Assignment - Lesson Planning for Teaching 00:00:00
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Learn Risk Assessment from anywhere in the world Risk Assessment is affordable and simple to understand Risk Assessment is entirely online, interactive lesson with voiceover audio Lifetime access to the Risk Assessment course materials Risk Assessment comes with 24/7 tutor support *** Course Curriculum of the Risk Assessment Course *** Module 01: Risk and Types of Risk Overview of various risks, including financial, operational, strategic, and compliance risks, and their potential impacts on businesses. Module 02: The Risk Evaluation Process Introduction to the process of evaluating risks, including identification, assessment, and prioritisation of risks. Module 03: Risk Analysis & Assessment Covers techniques for analysing and assessing risks, focusing on qualitative and quantitative methods. Module 04: Risk Assessment and Common Risks Discussion on conducting risk assessments and identifying common risks faced by organisations. 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Assessment Start your learning journey straight away with this Risk Assessment course and take a step toward a brighter future! The Risk Assessment course is designed to provide participants with a comprehensive understanding of the principles, methodologies, and techniques involved in effectively assessing and managing risks. In today's dynamic business environment, organisations face a wide range of risks that can have a significant impact on their operations, finances, and reputation. This Risk Assessment course equips learners with the knowledge and skills needed to identify, analyse, evaluate, and mitigate risks across various domains. CPD 10 CPD hours / points Accredited by CPD Quality Standards Module 1: Risk and Types of Risk 11:15 1: Risk and Types of Risk Preview 11:15 Module 2: The Risk Evaluation Process 20:16 2: The Risk Evaluation Process 20:16 Module 3: Risk Analysis & Assessment 15:04 3: Risk Analysis & Assessment 15:04 Module 4: Risk Assessment and Common Risks 11:31 4: Risk Assessment and Common Risks 11:31 Module 5: Introduction to Risk Management 13:06 5: Introduction to Risk Management 13:06 Module 6: Risk Management Process 08:38 6: Risk Management Process 08:38 Module 7: Benefits of Risk Management 08:47 7: Benefits of Risk Management 08:47 Module 8: Enterprise Risk Management 15:39 8: Enterprise Risk Management 15:39 Module 9: Managing Financial Risks 20:22 9: Managing Financial Risks 20:22 Module 10: Managing Technology Risks 14:04 10: Managing Technology Risks 14:04 Order Your Certificate 02:00 11: Order Your CPD Certificate 01:00 12: Order Your QLS Endorsed Certificate 01:00 Who is this course for? Risk Assessment This risk assessment course is available to all. So, if you are interested in learning more about this topic, enrol and start your learning journey now. Requirements Risk Assessment You don't need any prior knowledge or qualifications to join this risk assessment course. Career path Risk Assessment After the completion of this risk assessment course. Certificates Certificate Accredited by CPD Digital certificate - Included Cademy certificate of completion Digital certificate - Included Will be downloadable when all lectures have been completed Certificate Accredited by CPD Hard copy certificate - £29 If you are an international student, then you have to pay an additional 10 GBP as an international delivery charge.
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