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This course comes bundled with basic to advanced level knowledge on Spring and Spring Boot with 200+ questions and answers. With REST API, JPA, Hibernate, and Spring Data JPA, you have the upper hand in your interviews for sure.

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Description Would You Like More Success In Your Life? Have you ever wished you could have more happiness, have more success, have more influence, and handle your finances? Success is a skill that can be learnt. In this course, I want to show you the rules for success in your personal and professional life. You'll learn how to master your wealth, your finance, your happiness, your influence, your self-mastery and so much more so you can have the success you deserve! This is a course that everyone should enroll in to get a better life! This is what you'll learn in this course: What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success This course is for people who would like to experience more success in their personal and professional life. Go ahead enroll in this course now. There is a 30 day money back guarantee so you can try this course risk-free! What you'll learn What The Success Mindset Is & How They Can Have It The Secrets To Have More Wealth & Be Financially Free - Finance Tips The Keys To Lasting Happiness - Happiness Secrets The Formula To Influence Anyone Instantly - Influence Model How To Be A Great Leader The Keys To Self-Mastery The Habits For Success How To Brand Yourself For Success Requirements  A willingness to apply the world's best success techniques Who is the target audience ? People who would like to take their life to the next level People who would like to have more wealth, have more personal success, a better mindset, be happier, etc People who would like to have success in their personal and professional life People who want to learn the principles of success Success: The 7 Skills To Success, Confidence & Achievement Welcome + What You Will Learn FREE 00:04:00 Discover The Mindset For Success & How You Can Implement It For Your Success 00:28:00 The Secrets To Have More Wealth & Be Financially Free 00:22:00 Discover The Keys To Lasting & Real Happiness 00:14:00 How To Influence Anyone Anywhere: The Most Powerful Influence Model Explained! 00:19:00 Become An Outstanding Leader: Real Leadership Secrets Revealed! 00:17:00 Self-Mastery: Learn How To Master Yourself To Welcome Success To Your Life 00:12:00 Powerful Habits For Success: Leant The Habits That WIll Fast Track Your Success 00:13:00 Branding Yourself: Be & Appear As Your Stronger Self 00:10:00

The aim of the Managing and Improving Quality in Health and Social Care course is to provide learners with an understanding of the principles and practices of quality management in health and social care settings. The course aims to equip learners with the necessary knowledge and skills to manage and improve the quality of care provided to service users. By the end of the course, learners should be able to understand the importance of quality management, identify and implement quality improvement initiatives, and evaluate the effectiveness of quality management systems. After the successful completion of the course, you will be able to: Understand the concept and importance of stakeholders in Quality Improvement Learn about the duties and responsibilities of the stakeholders in healthcare Appreciate the stakeholder's perspectives and analysis Comprehend the four and nine-sector table analysis Understand the concept of the synergy model in health and social care Look into the quality measurement and its framework This course covers the fundamental principles of quality improvement in health and social care. Students will learn about the key stakeholders involved in quality improvement, their responsibilities and perspectives. The course will also explore various models and frameworks for quality improvement, such as the four and nine-sector table analysis and the synergy model. In addition, students will gain an understanding of the process of measuring and evaluating quality in healthcare. By the end of the course, students will have the knowledge and skills necessary to manage and improve quality in health and social care settings. This course covers the fundamental principles of quality improvement in health and social care. Students will learn about the key stakeholders involved in quality improvement, their responsibilities and perspectives. The course will also explore various models and frameworks for quality improvement, such as the four and nine-sector table analysis and the synergy model. In addition, students will gain an understanding of the process of measuring and evaluating quality in healthcare. By the end of the course, students will have the knowledge and skills necessary to manage and improve quality in health and social care settings. VIDEO - 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. Managing and Improving Quality in Health and Social Care - N Self-paced pre-recorded learning content on this topic. Managing and Improving Quality in Health and Social Care 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. Healthcare Manager Social Care Manager Equality, Diversity and Inclusion (EDI) Manager HR Manager or HR Business Partner Healthcare Professional Social Care Professional Nurse or Caregiver Medical or Allied Health Professional Diversity and Inclusion (D&I) Consultant Employee Relations 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.

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Gain the skills and credentials to kickstart a successful career and learn from the experts with this step-by-step

Highlights of the Course Course Type: Online Learning Duration: 1 Hour 56 Minutes Tutor Support: Tutor support is included Customer Support: 24/7 customer support is available Quality Training: The course is designed by an industry expert Recognised Credential: Recognised and Valuable Certification Completion Certificate: Free Course Completion Certificate Included Instalment: 3 Installment Plan on checkout What you will learn from this course? Gain comprehensive knowledge about addiction counselling Understand the core competencies and principles of addiction counselling Explore the various areas of addiction counselling Know how to apply the skills you acquired from this course in a real-life context Become a confident and expert addiction counsellor Addiction Counselling Course Diploma Course Master the skills you need to propel your career forward in addiction counselling. This course will equip you with the essential knowledge and skillset that will make you a confident addiction counsellor and take your career to the next level. This comprehensive addiction counselling course diploma course is designed to help you surpass your professional goals. The skills and knowledge that you will gain through studying thisaddiction counselling course diploma course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This comprehensive course will teach you the theory of effective addiction counselling practice and equip you with the essential skills, confidence and competence to assist you in the addiction counselling industry. You'll gain a solid understanding of the core competencies required to drive a successful career in addiction counselling. This course is designed by industry experts, so you'll gain knowledge and skills based on the latest expertise and best practices. This extensive course is designed for addiction counsellor or for people who are aspiring to specialise in addiction counselling. Enrol in this addiction counselling course diploma course today and take the next step towards your personal and professional goals. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV that will help you outshine other candidates. Who is this Course for? This comprehensive addiction counselling course diploma course is ideal for anyone wishing to boost their career profile or advance their career in this field by gaining a thorough understanding of the subject. Anyone willing to gain extensive knowledge on this addiction counselling can also take this course. Whether you are a complete beginner or an aspiring professional, this course will provide you with the necessary skills and professional competence, and open your doors to a wide number of professions within your chosen sector. Entry Requirements This addiction counselling course diploma course has no academic prerequisites and is open to students from all academic disciplines. You will, however, need a laptop, desktop, tablet, or smartphone, as well as a reliable internet connection. Assessment This addiction counselling course diploma course assesses learners through multiple-choice questions (MCQs). Upon successful completion of the modules, learners must answer MCQs to complete the assessment procedure. Through the MCQs, it is measured how much a learner could grasp from each section. In the assessment pass mark is 60%. Advance Your Career This addiction counselling course diploma course will provide you with a fresh opportunity to enter the relevant job market and choose your desired career path. Additionally, you will be able to advance your career, increase your level of competition in your chosen field, and highlight these skills on your resume. 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 About Introduction: About instructor & the course 00:02:00 Theories of Addiction The Moral Model 00:05:00 The Psychological Model 00:06:00 The Medical / Disease Model 00:09:00 The Socio-Cultural Model 00:05:00 Addiction Treatments Pharmacotherapy 00:03:00 The Minnesota Model 00:04:00 Counselling and Therapy 00:07:00 Harm Reduction Model 00:04:00 Treatments in Practice 00:05:00 Addiction in Society Drug policies, Legislation and Decriminalisation 00:08:00 Community change, Outreach, Harm Reduction or Abstinence 00:06:00 Alcohol and Drug education 00:05:00 Alcohol- and drug related issues in the workplace 00:06:00 Addiction in Families Codependency, Children of alcoholic families, parenting styles, family factors 00:08:00 Relapse for families, 'letting go', dependent attitudes and dependent behaviours 00:04:00 Al-Anon 00:04:00 The Intervention Approach3 00:04:00 Working with Addiction Why be a 'helper' 00:03:00 'Helper' qualities and attitudes 00:03:00 Counselling / 'helping' skills 00:04:00 Assessment Assessment - Addiction Counselling and Psychology 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

Are you ready to be at the helm, steering the ship into a realm where data is the new gold? In the infinite world of data, where information spirals at breakneck speed, lies a universe rich in potential and discovery: the domain of Data Science and Visualisation. This 'Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3' course unravels the wonders of extracting meaningful insights using Python, the worldwide leading language of data experts. Harnessing the strength of Python, you'll delve deep into data analysis, experience the finesse of visualisation tools, and master the art of Machine Learning. The need to understand, interpret, and act on this data has become paramount, with vast amounts of data increasing the digital sphere. Envision a canvas where raw numbers are transformed into visually compelling stories, and machine learning models foretell future trends. This course provides a meticulous pathway for anyone eager to learn the data representation paradigms backed by Python's robust libraries. Dive into a curriculum rich with analytical explorations, visual artistry, and machine learning predictions. Learning Outcomes Understanding the foundations and functionalities of Python, focusing on its application in data science. Applying various Python libraries like NumPy and Pandas for effective data analysis. Demonstrating proficiency in creating detailed visual narratives using tools like matplotlib, Seaborn, and Plotly. Implementing Machine Learning algorithms in Python using scikit-learn, ranging from regression models to clustering techniques. Designing and executing a holistic data analysis and visualisation project, encapsulating all learned techniques. Exploring advanced topics, encompassing recommender systems and natural language processing with Python. Attaining the confidence to independently analyse complex data sets and translate them into actionable insights.   Video Playerhttps://studyhub.org.uk/wp-content/uploads/2021/03/Data-Science-and-Visualisation-with-Machine-Learning.mp400:0000:0000:00Use Up/Down Arrow keys to increase or decrease volume. Why buy this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3? Unlimited access to the course for a lifetime. Opportunity to earn a certificate accredited by the CPD Quality Standards after completing this course. Structured lesson planning in line with industry standards. Immerse yourself in innovative and captivating course materials and activities. Assessments are designed to evaluate advanced cognitive abilities and skill proficiency. Flexibility to complete the Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Who is this Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 course for? Aspiring data scientists aiming to harness the power of Python. Researchers keen to enrich their analytical and visualisation skills. Analysts aiming to add machine learning to their toolkit. Developers striving to integrate data analytics into applications. Business professionals desiring data-driven decision-making capabilities. Career path Data Scientist: £55,000 - £85,000 Per Annum Machine Learning Engineer: £60,000 - £90,000 Per Annum Data Analyst: £30,000 - £50,000 Per Annum Data Visualisation Specialist: £45,000 - £70,000 Per Annum Natural Language Processing Specialist: £65,000 - £95,000 Per Annum Business Intelligence Developer: £40,000 - £65,000 Per Annum Prerequisites This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 does not require you to have any prior qualifications or experience. You can just enrol and start learning. This Certificate in Data Science and Visualisation with Machine Learning at QLS Level 3 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. Endorsed Certificate of Achievement from the Quality Licence Scheme Learners will be able to achieve an endorsed certificate after completing the course as proof of their achievement. You can order the endorsed certificate for only £85 to be delivered to your home by post. For international students, there is an additional postage charge of £10. Endorsement The Quality Licence Scheme (QLS) has endorsed this course for its high-quality, non-regulated provision and training programmes. The QLS is a UK-based organisation that sets standards for non-regulated training and learning. This endorsement means that the course has been reviewed and approved by the QLS and meets the highest quality standards. Please Note: Studyhub is a Compliance Central approved resale partner for Quality Licence Scheme Endorsed courses. Course Curriculum Welcome, Course Introduction & overview, and Environment set-up Welcome & Course Overview 00:07:00 Set-up the Environment for the Course (lecture 1) 00:09:00 Set-up the Environment for the Course (lecture 2) 00:25:00 Two other options to setup environment 00:04:00 Python Essentials Python data types Part 1 00:21:00 Python Data Types Part 2 00:15:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1) 00:16:00 Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2) 00:20:00 Python Essentials Exercises Overview 00:02:00 Python Essentials Exercises Solutions 00:22:00 Python for Data Analysis using NumPy What is Numpy? A brief introduction and installation instructions. 00:03:00 NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes. 00:28:00 NumPy Essentials - Indexing, slicing, broadcasting & boolean masking 00:26:00 NumPy Essentials - Arithmetic Operations & Universal Functions 00:07:00 NumPy Essentials Exercises Overview 00:02:00 NumPy Essentials Exercises Solutions 00:25:00 Python for Data Analysis using Pandas What is pandas? A brief introduction and installation instructions. 00:02:00 Pandas Introduction 00:02:00 Pandas Essentials - Pandas Data Structures - Series 00:20:00 Pandas Essentials - Pandas Data Structures - DataFrame 00:30:00 Pandas Essentials - Handling Missing Data 00:12:00 Pandas Essentials - Data Wrangling - Combining, merging, joining 00:20:00 Pandas Essentials - Groupby 00:10:00 Pandas Essentials - Useful Methods and Operations 00:26:00 Pandas Essentials - Project 1 (Overview) Customer Purchases Data 00:08:00 Pandas Essentials - Project 1 (Solutions) Customer Purchases Data 00:31:00 Pandas Essentials - Project 2 (Overview) Chicago Payroll Data 00:04:00 Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data 00:18:00 Python for Data Visualization using matplotlib Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach 00:13:00 Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach 00:22:00 Matplotlib Essentials - Exercises Overview 00:06:00 Matplotlib Essentials - Exercises Solutions 00:21:00 Python for Data Visualization using Seaborn Seaborn - Introduction & Installation 00:04:00 Seaborn - Distribution Plots 00:25:00 Seaborn - Categorical Plots (Part 1) 00:21:00 Seaborn - Categorical Plots (Part 2) 00:16:00 Seborn-Axis Grids 00:25:00 Seaborn - Matrix Plots 00:13:00 Seaborn - Regression Plots 00:11:00 Seaborn - Controlling Figure Aesthetics 00:10:00 Seaborn - Exercises Overview 00:04:00 Seaborn - Exercise Solutions 00:19:00 Python for Data Visualization using pandas Pandas Built-in Data Visualization 00:34:00 Pandas Data Visualization Exercises Overview 00:03:00 Panda Data Visualization Exercises Solutions 00:13:00 Python for interactive & geographical plotting using Plotly and Cufflinks Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1) 00:19:00 Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2) 00:14:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview) 00:11:00 Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions) 00:37:00 Capstone Project - Python for Data Analysis & Visualization Project 1 - Oil vs Banks Stock Price during recession (Overview) 00:15:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2) 00:18:00 Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3) 00:17:00 Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview) 00:03:00 Python for Machine Learning (ML) - scikit-learn - Linear Regression Model Introduction to ML - What, Why and Types.. 00:15:00 Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff 00:15:00 scikit-learn - Linear Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Linear Regression Model Hands-on (Part 2) 00:19:00 Good to know! How to save and load your trained Machine Learning Model! 00:01:00 scikit-learn - Linear Regression Model (Insurance Data Project Overview) 00:08:00 scikit-learn - Linear Regression Model (Insurance Data Project Solutions) 00:30:00 Python for Machine Learning - scikit-learn - Logistic Regression Model Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc. 00:10:00 scikit-learn - Logistic Regression Model - Hands-on (Part 1) 00:17:00 scikit-learn - Logistic Regression Model - Hands-on (Part 2) 00:20:00 scikit-learn - Logistic Regression Model - Hands-on (Part 3) 00:11:00 scikit-learn - Logistic Regression Model - Hands-on (Project Overview) 00:05:00 scikit-learn - Logistic Regression Model - Hands-on (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn - K Nearest Neighbors Theory: K Nearest Neighbors, Curse of dimensionality . 00:08:00 scikit-learn - K Nearest Neighbors - Hands-on 00:25:00 scikt-learn - K Nearest Neighbors (Project Overview) 00:04:00 scikit-learn - K Nearest Neighbors (Project Solutions) 00:14:00 Python for Machine Learning - scikit-learn - Decision Tree and Random Forests Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging. 00:18:00 scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1) 00:19:00 scikit-learn - Decision Tree and Random Forests (Project Overview) 00:05:00 scikit-learn - Decision Tree and Random Forests (Project Solutions) 00:15:00 Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs) Support Vector Machines (SVMs) - (Theory Lecture) 00:07:00 scikit-learn - Support Vector Machines - Hands-on (SVMs) 00:30:00 scikit-learn - Support Vector Machines (Project 1 Overview) 00:07:00 scikit-learn - Support Vector Machines (Project 1 Solutions) 00:20:00 scikit-learn - Support Vector Machines (Optional Project 2 - Overview) 00:02:00 Python for Machine Learning - scikit-learn - K Means Clustering Theory: K Means Clustering, Elbow method .. 00:11:00 scikit-learn - K Means Clustering - Hands-on 00:23:00 scikit-learn - K Means Clustering (Project Overview) 00:07:00 scikit-learn - K Means Clustering (Project Solutions) 00:22:00 Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA) Theory: Principal Component Analysis (PCA) 00:09:00 scikit-learn - Principal Component Analysis (PCA) - Hands-on 00:22:00 scikit-learn - Principal Component Analysis (PCA) - (Project Overview) 00:02:00 scikit-learn - Principal Component Analysis (PCA) - (Project Solutions) 00:17:00 Recommender Systems with Python - (Additional Topic) Theory: Recommender Systems their Types and Importance 00:06:00 Python for Recommender Systems - Hands-on (Part 1) 00:18:00 Python for Recommender Systems - - Hands-on (Part 2) 00:19:00 Python for Natural Language Processing (NLP) - NLTK - (Additional Topic) Natural Language Processing (NLP) - (Theory Lecture) 00:13:00 NLTK - NLP-Challenges, Data Sources, Data Processing .. 00:13:00 NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing 00:19:00 NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW. 00:19:00 NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes 00:13:00 NLTK - NLP - Pipeline feature to assemble several steps for cross-validation 00:09:00 Resources Resources - Data Science and Visualisation with Machine Learning 00:00:00 Order your QLS Endorsed Certificate Order your QLS Endorsed Certificate 00:00:00

About this Training Course Whether you are maintaining an oil rig or processing plant, good quality maintenance is critical to delivering a safe reliable product to your customers. Whatever your level of maintenance experience, this course will equip you with the valuable skills and understanding that will enhance your maintenance career. Too often the maintenance department is seen as the cause of why assets are unavailable, in poor condition yet are costing too much to maintain. By comparison, pace setting companies see maintenance as adding value to their assets and employ an integrated, holistic approach to their maintenance activities. This course will help you move towards that pace setting performance. This course is based on an integrated maintenance model that has been used by leading companies and consultants with success and recognised as best practice. Participants will learn the total impact that maintenance can have on a business, identify key elements (and value) of effective maintenance for their own plants to not only reduce costs but also improve performance. The critical types of maintenance will be covered from day-to-day activities to shutdowns and reliability improvement. The course will break down traditional functional boundaries and encourage a holistic approach to maintenance. With an organisation's maintenance process only as good as its weakest link, this course will guide participants through all the key steps of a maintenance process and its supply chain. Participants will understand what is considered a good standard for each step in the maintenance process, how to identify the weakest links and subsequently how they can accelerate their performance improvement. Participants will have the option of gaining a Bronze Level qualification from the Academy of Turnarounds Operations of Maintenance. For those who obtain a pass, they will receive a Pass certificate and for those who achieve the top quartile score, they will receive a Distinction level pass. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives By the end of the course, participants will be able to: Explain the challenges and objectives facing maintenance organisations today Demonstrate the importance of work order systems and use techniques for time estimations and priority assignments Prepare a preventive maintenance program Apply project management techniques to effectively manage major maintenance activities and shut downs Use capital budgeting techniques to evaluate maintenance capital expenditures Demonstrate understanding of how to maintain the optimal stock levels of spare parts to ensure operational continuity Prepare the right Key Performance Indicators (KPIs) to evaluate and improve performance in maintenance Target Audience This course is not just for maintenance professionals. Maintenance teams cannot perform without effective integration with operations and supply chain functions. Availability losses are often caused by operations or design issues and pace setting companies have generated significant benefits by integrating operation and maintenance strategies and working more collaboratively. This course will help all members of the operations and maintenance teams and their supply chain better understand their respective roles in ensuring that maintenance is benefitting and not inhibiting their business. Course Level Basic or Foundation Trainer Your expert course leader is a highly experienced facilitator in maintenance improvement, change management, continuous improvement and capability development as a management coach and trainer. He has a strong focus on people with an emphasis on developing people and the practicalities of improving maintenance performance rather than just the theory. He has worked internationally across Europe, America, the Middle East and Africa with extensive experience in Oil and Gas, the Chemicals sector and manufacturing as well as working with clients in Steel and Power Generation. As a result, he can bring best practice from a wide variety of sources. He spent the first fifteen years of his career as a specialist trainer working for companies such as Lloyds British Training Services and Rolls Royce. He then went on to work as a Principal consultant for ABB consulting for 15 years. During this time, he refined some of the established improvement tools including how and when to apply them for maximum impact whilst still continuing to develop and deliver training in support of this. Recent work has included improvements to the Work Order to Work Execution processes of Engineering departments and focused on Reliability, Planning and Scheduling. This ongoing field experience has helped him test and refine specialist training in a number of areas. He has been able to use his own experience to contribute with other maintenance specialists to the Carcharodon models of excellence. Its methodologies are recognised as 'Best of the Best' standards providing the inspiration for two books, projects that have won awards such as the prodigious UK Chemical Industries annual Excellence in Engineering award and form the basis of this training. He was recently awarded a national award as coach of the year. He uses the same skills to ensure that he does not just preach maintenance best practice, he discusses it, explains it and ensures that delegates have a much more personal and flexible experience. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

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