In the dynamic realm of heavy-duty operations, mastering the art of lifting is not just about hoisting weights; it's about orchestrating a symphony of safety, precision, and efficiency. Imagine yourself at the helm of colossal machinery, poised to elevate your expertise to new heights. From selecting the perfect equipment to meticulously planning each lift, our comprehensive curriculum equips you with the knowledge to navigate every facet of the lifting landscape. Key Features: CPD Certified Free Certificate from Reed CIQ Approved Developed by Specialist Lifetime Access Delve into the intricacies of risk assessment, where every decision holds the weight of responsibility. Learn to decipher the language of inspections, ensuring that every component is primed for flawless performance. As you immerse yourself in the world of lifting operations, you'll unravel the threads of accountability, understanding the crucial roles each stakeholder plays in the pursuit of safety excellence. Join us on a journey where diligence meets dexterity, and where the mastery of lifting operations becomes your hallmark of distinction. Course Curriculum Module 01: Introduction to LOLER Module 02: Part 01 - Selecting Lifting Equipment and Accessories Module 03: Part 02 - Selecting Lifting Equipment and Accessories Module 04: Planning the Lifting Operation Module 05: Factors Affecting Safe Lifting Operation Module 06: Roles and Responsibilities Module 07: Risk Assessment Module 08: Examination and Inspection Module 09: Reports and Defects Learning Outcomes: Identify suitable lifting equipment and accessories for specific tasks. Plan lifting operations considering safety and operational efficiency guidelines. Recognize factors influencing the safety of lifting operations. Understand roles and responsibilities in ensuring safe lifting procedures. Conduct thorough risk assessments to mitigate potential hazards effectively. Perform examinations and inspections following LOLER regulations to ensure compliance. CPD 10 CPD hours / points Accredited by CPD Quality Standards LOLER Online Training 2:57:39 1: Module 01: Introduction to LOLER 11:32 2: Module 02: Part 01 - Selecting Lifting Equipment and Accessories 39:39 3: Module 03: Part 02 - Selecting Lifting Equipment and Accessories 24:35 4: Module 04: Planning the Lifting Operation 25:50 5: Module 05: Factors Affecting Safe Lifting Operation 13:51 6: Module 06: Roles and Responsibilities 09:23 7: Module 07: Risk Assessment 17:29 8: Module 08: Examination and Inspection 22:48 9: Module 09: Reports and Defects 11:32 10: CPD Certificate - Free 01:00 Who is this course for? Workers in construction, manufacturing, or logistics industries. Health and safety officers seeking LOLER compliance knowledge. Supervisors overseeing lifting operations in various industrial settings. Individuals aspiring to enhance their understanding of lifting regulations. Anyone involved in equipment selection, planning, and risk assessment. Career path Crane Operator Health and Safety Inspector Lifting Equipment Engineer Construction Site Manager Warehouse Supervisor Logistics Coordinator Certificates Digital certificate Digital certificate - Included Reed Courses Certificate of Completion Digital certificate - Included Will be downloadable when all lectures have been completed.
Course Overview Day by day, the surrounding environment is getting poisonous due to increasing transportation, construction, plastic use, deforestation and many other causes. It is our duty to do as much as possible to save the environment. The Environmental Awareness Training course is designed to help you understand how to protect our environment. In this easy yet highly informative course, you will enhance your knowledge and understanding of the environment we live in. The modules will provide detailed lessons on pollutants and workplace pollution. Furthermore, you will learn about carbon footprint. The course will also include lessons on environmental planning and sustainable development. If you are a responsible citizen and wish to make the world a better place, then take the first step by enrolling in the Environmental Awareness Training course. Course Sneak Peek Learning Outcomes Get an in-depth understanding of environmental awareness Learn about different types of pollutants and their effect on the environment Enhance your understanding of carbon footprint and how to reduce it Understand the principles of environmental planning Know how to use sustainable methods to improve the health of the environment Course Promo Why Should Take This Course From John Academy? Affordable, well-structured and high-quality e-learning study materials Engaging tutorial videos, materials from the industry-leading experts Opportunity to study in a user-friendly, advanced online learning platform 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? Environmental Planning Who Should Take this Environmental Awareness Training? Whether you're an existing practitioner or an aspiring professional, this course will enhance your expertise and boost your CV with key skills and a recognised qualification attesting to your knowledge. Are There Any Entry Requirements? This Environmental Awareness Training 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. Certificate of Achievement After completing this course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates & Transcripts can be obtained either in Hardcopy at £14.99 or in PDF format at £11.99. Career Path This exclusive Environmental Awareness Training course will equip you with effective skills and abilities and help you explore career paths such as Environmental PlannerSocial Worker Environmental TechnicianSustainability Engineer Course Curriculum Module 01: Introduction to Environmental Awareness Introduction to Environmental Awareness 00:09:00 Module 02 (Part 01): Workplace Pollution Workplace Pollution 00:06:00 Module 02 (Part 02): Carbon Footprint Carbon Footprint 00:12:00 Module 03: Environment Planning and Sustainability Environment Planning and Sustainability 00:14:00 Recommended Readings Environmental Awareness Training - Course Book 00:50:00 Environmental Awareness Training - Workbook 00:40:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00
Embark on a captivating journey into the world of artificial intelligence with our course, 'Machine Learning Basics.' This voyage begins with an immersive introduction, setting the stage for an exploration into the intricate and fascinating realm of machine learning. Envision yourself unlocking the mysteries of algorithms and data patterns, essential skills in today's technology-driven landscape. The course offers a comprehensive foray into the core principles of machine learning, starting from the very basics and gradually building to more complex concepts, making it an ideal path for beginners and enthusiasts alike. As you delve deeper, each section unravels a vital component of machine learning. Grasp the essentials of regression analysis, understand the role of predictors, and navigate through the functionalities of Minitab, a key tool in data analysis. Journey through the structured world of regression trees and binary logistic regression, and master the art of classification trees. The course also emphasizes the importance of data cleaning and constructing robust data models, culminating in the achievement of learning success. This course is not just an educational experience; it's a gateway to the future of data science and AI. Learning Outcomes Comprehend the basic principles and applications of machine learning. Develop proficiency in regression analysis and predictor identification. Gain practical skills in Minitab for data analysis. Understand and apply regression and classification trees. Acquire expertise in data cleaning and model creation. Why choose this Machine Learning Basics 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 Machine Learning Basics course for? Novices eager to delve into machine learning. Data enthusiasts looking to enhance their analytical skills. Professionals in IT and related fields expanding their expertise. Academics and students in computer science and data studies. Career changers interested in the field of data science and AI. Career path Data Analyst - £30,000 to £55,000 Machine Learning Engineer - £40,000 to £80,000 AI Developer - £35,000 to £75,000 Business Intelligence Analyst - £32,000 to £60,000 Research Scientist (Machine Learning) - £45,000 to £85,000 Software Engineer (AI Specialization) - £38,000 to £70,000 Prerequisites This Machine Learning Basics does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Machine Learning Basics 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 Section 01: Introduction Introduction to Supervised Machine Learning 00:06:00 Section 02: Regression Introduction to Regression 00:13:00 Evaluating Regression Models 00:11:00 Conditions for Using Regression Models in ML versus in Classical Statistics 00:21:00 Statistically Significant Predictors 00:09:00 Regression Models Including Categorical Predictors. Additive Effects 00:20:00 Regression Models Including Categorical Predictors. Interaction Effects 00:18:00 Section 03: Predictors Multicollinearity among Predictors and its Consequences 00:21:00 Prediction for New Observation. Confidence Interval and Prediction Interval 00:06:00 Model Building. What if the Regression Equation Contains 'Wrong' Predictors? 00:13:00 Section 04: Minitab Stepwise Regression and its Use for Finding the Optimal Model in Minitab 00:13:00 Regression with Minitab. Example. Auto-mpg: Part 1 00:17:00 Regression with Minitab. Example. Auto-mpg: Part 2 00:18:00 Section 05: Regression Trees The Basic idea of Regression Trees 00:18:00 Regression Trees with Minitab. Example. Bike Sharing: Part1 00:15:00 Regression Trees with Minitab. Example. Bike Sharing: Part 2 00:10:00 Section 06: Binary Logistics Regression Introduction to Binary Logistics Regression 00:23:00 Evaluating Binary Classification Models. Goodness of Fit Metrics. ROC Curve. AUC 00:20:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 1 00:16:00 Binary Logistic Regression with Minitab. Example. Heart Failure: Part 2 00:18:00 Section 07: Classification Trees Introduction to Classification Trees 00:12:00 Node Splitting Methods 1. Splitting by Misclassification Rate 00:20:00 Node Splitting Methods 2. Splitting by Gini Impurity or Entropy 00:11:00 Predicted Class for a Node 00:06:00 The Goodness of the Model - 1. Model Misclassification Cost 00:11:00 The Goodness of the Model - 2 ROC. Gain. Lit Binary Classification 00:15:00 The Goodness of the Model - 3. ROC. Gain. Lit. Multinomial Classification 00:08:00 Predefined Prior Probabilities and Input Misclassification Costs 00:11:00 Building the Tree 00:08:00 Classification Trees with Minitab. Example. Maintenance of Machines: Part 1 00:17:00 Classification Trees with Miitab. Example. Maintenance of Machines: Part 2 00:10:00 Section 08: Data Cleaning Data Cleaning: Part 1 00:16:00 Data Cleaning: Part 2 00:17:00 Creating New Features 00:12:00 Section 09: Data Models Polynomial Regression Models for Quantitative Predictor Variables 00:20:00 Interactions Regression Models for Quantitative Predictor Variables 00:15:00 Qualitative and Quantitative Predictors: Interaction Models 00:28:00 Final Models for Duration and TotalCharge: Without Validation 00:18:00 Underfitting or Overfitting: The 'Just Right Model' 00:18:00 The 'Just Right' Model for Duration 00:16:00 The 'Just Right' Model for Duration: A More Detailed Error Analysis 00:12:00 The 'Just Right' Model for TotalCharge 00:14:00 The 'Just Right' Model for ToralCharge: A More Detailed Error Analysis 00:06:00 Section 10: Learning Success Regression Trees for Duration and TotalCharge 00:18:00 Predicting Learning Success: The Problem Statement 00:07:00 Predicting Learning Success: Binary Logistic Regression Models 00:17:00 Predicting Learning Success: Classification Tree Models 00:09:00
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Getting Started These qualifications offer individuals the opportunity to build a career in the IT field by fostering a deeper knowledge and comprehension of the industry while also supporting their progression into technical roles. The overarching objectives include: Empowering learners to apply analytical and evaluative techniques effectively in both private and public sector business contexts. Strengthening analytical and evaluative skills applicable to diverse industries, fostering adaptability and versatility. Cultivating the learner's capacity to recognize and reflect upon the process of personal learning and development, thereby facilitating the enhancement of essential personal, interpersonal, and transferable skills. Promoting self-reflection, as well as enhancing analytical, intellectual, and transferable skills among learners. Key Benefits Evaluate the essence of entrepreneurship within the technological domain. Comprehend techniques for preserving computer security. Create web applications through the utilization of ASP.NET and ADO.NET. Execute tasks related to user management and file system administration. Conduct routing operations. Key Highlights Are you a practicing IT Professional seeking greater knowledge and understanding of the industry, and to support your development into senior positions? Then, Qualifi Level 5 Diploma in Information Technology Networking is the ideal starting point for your career journey. The course will pave the way for a career and help individuals prepare to become professional staff and managers of the future in the health and social care sector. Remember! The assessment for the qualification is based on assignments only, and you do not need to worry about taking any exams. With the School of Business and Technology London, you can complete the qualification at your own pace, choosing between online or blended learning from the comfort of your home. Learning and pathway materials, along with study guides developed by our Qualifi-approved tutors, will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose the blended learning option, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completion of the Level 5 Diploma in Information Technology - Networking, graduates may pursue various career paths in education and training such as: Wireless Network Engineer; with an estimated average salary of £50,000 per annum. Cloud Solutions Architect; with an estimated average salary of £85,287 per annum. Network Security Specialist; with an estimated average salary ranging from £45,000 to £80,000 per annum. Data Privacy Consultant; with an estimated average salary of £60,000 per annum. About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Assignment based Assessment No exam Entry Requirements The qualification has been intentionally designed to ensure accessibility without unnecessary obstacles hindering entry and advancement. To enrol in the qualification, you should: Have a certain level of proficiency and hold a Qualification at Level 4, such as 'A' LEVEL or any vocational certificate. Be actively pursuing additional professional development to acquire job-related skills and practical knowledge. For international students whose first language is not English, they will need to have a score of 6 or above in IELTS (International English Language Testing System). Progression Learners who successfully complete any of the corresponding QUALIFI Level 5 Diplomas in IT have various advancement options, including: Transitioning to the QUALIFI Level 6 Diplomas in IT. Moving on to the final year of undergraduate programs in fields like Computer Science, Information Technology, or related disciplines. Entering the workforce directly in a relevant professional capacity. Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- Technopreneurship Reference No : F/617/6740 Credit : 20 || TQT : 200 The objective of this unit is to equip learners with the requisite knowledge and competencies for initiating a technology-driven business venture. This encompasses comprehending the traits associated with entrepreneurship, strategizing, marketing, and financial aspects. UNIT2- Network Security Reference No : J/617/6741 Credit : 20 || TQT : 200 The goal of this unit is to furnish learners with insights into network security concerns within networked settings and the procedures for averting and identifying prevalent security incidents. UNIT3- C#.NET Programming Reference No : L/617/6742 Credit : 20 || TQT : 200 The objective of this unit is to impart foundational concepts and principles of ASP.NET programming using C#. This will empower learners with the ability to create dynamic web pages employing server-side programming methodologies. UNIT4- System Administration Reference No : R/617/6743 Credit : 20 || TQT : 200 The goal of this unit is to furnish learners with the essential knowledge required for system administration in both Linux and Windows environments. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.
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