This course sets out the procedures that sponsors need to follow to gain authorisation to conduct clinical trials under the Regulation, and it summarises and links to the extensive guidance available from the European Commission and the European Medicines Agency. Its companion course CT12 sets out the procedures that sponsors need to follow to conduct authorised clinical trials in compliance with the Regulation. The two courses therefore provide an ideal foundation for understanding and complying with the new law.
The Level 3 Teaching Qualification offered by Sirius Group Training is a great starting point for those interested in teaching in the adult education and skills sector. This online-based course allows you to learn at your own pace, regardless of your skill level. Previously known as PTLLS (Preparing to Teach in the Lifelong Learning Sector), the PTLLS online training course is now called the Level 3 Award in Education and Training (RQF).
Overview A solid foundation in strategic business management can be the turning point of your career. Grab the opportunity to learn about strategic management and increase your employability in the corporate sector with the Diploma in Strategic Business Management course. The course is divided into easy-to-follow modules, with each module describing different areas of strategic planning. In this course, you will learn about the concepts of corporate governance. Then, the course will help you develop the skills for strategy formulation and implementation. Further in the course, you will learn about evaluation, control and brand building. Along with that, the course will show you how to use customer relations for success and improve the business. Enrol now! Course Preview Learning Outcomes Familairse yourself with the core concepts of strategic business management Enhance your knowledge of corporate governance Get a clear understanding of industry analysis Develop the expertise for strategy implementation and formulation Learn how to generate success from customer relationship Understand the strategies for business improvement Why Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Meticulously crafted engaging and informative tutorial videos and materials Efficient exam systems for the assessment and instant result Earn UK & internationally recognised accredited qualification Easily access the course content on mobile, tablet, or desktop from anywhere, anytime Excellent career advancement opportunities Get 24/7 student support via email What Skills Will You Learn from This Course? Strategic business management Industry analysis Business improvement Who Should Take This Diploma in Strategic Business Management? Whether you're an existing practitioner or an aspiring professional, this course is an ideal training opportunity. It will elevate your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Diploma in Strategic Business Management is available to all learners of all academic backgrounds. But learners should be aged 16 or over to undertake the qualification. And a good understanding of the English language, numeracy, and ICT will be helpful. Diploma in Strategic Business Management Certification After completing and passing the Diploma in Strategic Business Management successfully, you will be able to obtain a Recognised Certificate of Achievement. Learners can obtain the certificate in hard copy at £14.99 or PDF format at £11.99. Career Pathâ This exclusive Diploma in Strategic Business Management will equip you with effective skills and abilities and help you explore career paths such as Strategic Business Manager Stakeholder Relationship Manager Business Analyst Project Manager Strategic Consultant Business Strategy Analyst Module 01: Introduction To Strategic Management Business Introduction to Strategic Management Business 00:43:00 Module 02: Corporate Governance Corporate Governance 00:37:00 Module 03: Industry Analysis Industry Analysis 00:32:00 Module 04: Strategy Formulation Strategy Formulation 00:48:00 Module 05: Strategy Implementation Strategy Implementation 00:45:00 Module 06: Evaluation And Control Evaluation and Control 00:40:00 Module 07: Building A Brand Building a Brand 00:38:00 Module 08: Generating Success From The Customer Relationship Generating Success from the Customer Relationship 00:40:00 Module 09: Social Responsibility And Ethics In Strategic Management Social Responsibility and Ethics in Strategic Management 00:39:00 Module 10: Getting Ready For Business Improvement Getting Ready for Business Improvement 00:34:00 Order Your Certificate and Transcript Order Your Certificates and Transcripts 00:00:00
The course 'Deep Learning & Neural Networks Python - Keras' provides a comprehensive introduction to deep learning using the Keras library in Python. It covers topics ranging from basic neural networks to more advanced concepts, such as convolutional neural networks, image augmentation, and performance improvement techniques for various datasets. Learning Outcomes: Understand the fundamental concepts of deep learning and how it differs from traditional machine learning. Gain proficiency in using Keras, a powerful deep learning library, for building and training neural network models. Develop practical skills in creating and optimizing neural network models for different datasets, including image recognition tasks and regression problems. Why buy this Deep Learning & Neural Networks Python - Keras? 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 Deep Learning & Neural Networks Python - Keras 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? This Deep Learning & Neural Networks Python - Keras course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Deep Learning & Neural Networks Python - Keras does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Deep Learning & Neural Networks Python - Keras 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 As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Deep Learning & Neural Networks Python - Keras is a great way for you to gain multiple skills from the comfort of your home. 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
This course is designed for beginners and covers a wide range of topics including syntax, data structures, modules, and advanced techniques such as testing and memory allocations. It also includes real-life problem-solving exercises to ensure hands-on learning. Gain efficient programming skills and be proficient in Rust with this course.
Duration 1 Days 6 CPD hours Overview After completing this course, students will know how to: - Identify difficult personality types and the effect they can have in an organization - Manage difficult employees and monitor their behavior - Document ongoing changes in behavior and performance - Communicate clearly and effectively, both verbally and nonverbally - Improve your listening skills - Communicate with difficult supervisors and co-workers - Identify types of employee dismissals - Identify the focus of feedback and give and receive feedback effectively - Provide positive and constructive feedback - Monitor performance afterwards - Identify communication styles - Manage difficult feedback sessions and identify when to avoid giving feedback - Identify some common myths associated with workplace conflicts, common reasons that conflicts arise, and types of workplace conflict - Distinguish between conflict management and conflict resolution - Identify conflict resolution styles, resolve workplace conflicts, including team conflicts, and identify the communication skills required to In this course, students learn to identify and manage difficult employees, monitor their behavior, develop clear and effective communications techniques, give and receive feedback, identify workplace conflicts and present resolutions. 1 - Getting Started Workshop Objectives 2 - The Basics What is Performance Management? How Does Performance Management Work? Tools Case Study 3 - The Basics (II) Three Phase Process Assessments Performance Reviews Case Study 4 - Goal Setting SMART Goal Setting Specific Goals Measurable Goals Attainable Goals Realistic Goals Timely Goals Monitoring Results Case Study 5 - Establishing Performance Goals Strategic Planning Job Analysis Setting Goals Motivation Case Study 6 - 360 Degree Feedback What is 360 Degree Feedback? Vs. Traditional Performance Reviews The Components Case Study Module Six: Review Questions 7 - Competency Assessments Competency Assessment Defined Implementation Final Destination Case Study 8 - Kolb's Learning Cycle Experience Observation Conceptualization Experimentation Case Study 9 - Motivation Key Factors The Motivation Organization Identifying Personal Motivators Evaluating and Adapting Case Study 10 - The Performance Journal Record Goals and Accomplishments Linking with Your Employees or Managers Implementing a Performance Coach Keeping Track Case Study 11 - Creating a Performance Plan Goals Desired Results Prioritization Measure Evaluation Case Study 12 - Wrapping Up Words from the Wise Lessons Learned Additional course details: Nexus Humans Performance Management training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Performance Management course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.
Begin a journey into the vital intersection of economics and healthcare with our course, 'Introduction to Health Economics and Health Technology Assessment.' Envision yourself unlocking the complexities of healthcare financing and technological advancements, pivotal in shaping today's healthcare landscape. The course sets the stage with an introductory module that blends health economics with health technology assessment, providing a scaffold for your exploration into this multifaceted field. As the curriculum unfolds, you'll transition from understanding basic economic and technological concepts to delving into the specifics of health economics and health technology assessment. This course is a gateway to understanding the intricate balance of financial efficiency and technological innovation in healthcare, essential for anyone looking to make a meaningful impact in the sector. Advance through engaging modules that bring to light the Health Minister's Dilemma, a scenario that encapsulates the challenges faced in making cost-effective yet impactful healthcare decisions. The course intricately weaves the relationship between health economics and health technology assessment, offering a comprehensive view of how they coalesce to shape policy and practice. Dive into the realms of economic evaluation and health insurance, gaining insights that are not only academically enriching but also practically applicable in various healthcare settings. This course is not just an academic exercise; it's a profound journey into the heart of healthcare policy-making, where every decision can have far-reaching implications on public health and wellbeing. Learning Outcomes Acquire foundational knowledge of health economics and health technology assessment. Understand the core economic and technological concepts relevant to healthcare. Comprehend the role and impact of health economics in healthcare systems. Gain insights into the processes and importance of health technology assessment. Explore the challenges in economic evaluation and health insurance in healthcare decision-making. Why choose this Introduction to Health Economics and Health Technology Assessment course? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards and CIQ after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Course at your own pace, on your own schedule. Receive full tutor support throughout the week, from Monday to Friday, to enhance your learning experience. Unlock career resources for CV improvement, interview readiness, and job success. Who is this Introduction to Health Economics and Health Technology Assessment course for? Healthcare professionals seeking to understand health economics and technology. Policy makers and public health administrators. Students and academics in healthcare management and economics. Health technology developers and entrepreneurs. Insurance professionals focusing on healthcare policies. Career path Health Economist: £35,000 - £60,000 Health Policy Analyst: £30,000 - £55,000 Healthcare Consultant: £28,000 - £50,000 Public Health Manager: £32,000 - £58,000 Health Technology Assessment Specialist: £34,000 - £62,000 Health Insurance Analyst: £29,000 - £54,000 Prerequisites This Introduction to Health Economics and Health Technology Assessment does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Introduction to Health Economics and Health Technology Assessment 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. Certification After studying the course materials, there will be a written assignment test which you can take at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £4.99 Original Hard Copy certificates need to be ordered at an additional cost of £8. Course Curriculum Module 01: Introduction to Health Economics and Health Technology Assessment Introduction to Health Economics and Health Technology Assessment 00:18:00 Module 02: Basic Economic and Technological Concepts Basic Economic and Technological Concepts 00:26:00 Module 03: What Is Health Economics? What is Health Economics? 00:14:00 Module 04: What Is Health Technology Assessment? What is Health Technology Assessment? 00:23:00 Module 05: The Health Minister's Dilemma The Health Minister's Dilemma 00:05:00 Module 06: Exploring the Relationship Between Health Economics (HE) and Health Technology Assessment (HTA) Exploring the Relationship Between Health Economics (HE) and Health Technology Assessment (HTA) 00:22:00 Module 07: Economic Evaluation Economic Evaluation 00:16:00 Module 08: Health Insurance Health Insurance 00:19:00 Assignment Assignment - Introduction to Health Economics and Health Technology Assessment 00:00:00
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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