3567 Courses

ICA Certificate in Compliance A practical, introductory-level course that will give you a solid understanding of core compliance issues. Through this qualification, you will: learn what regulation is and why we need it discover how we got to where we are today appreciate the role of compliance functions and compliance professionals understand how compliance works in practice The course is suitable for anyone who wants to learn more about compliance, the regulatory environment, and the role played by compliance, and for those considering embarking on a new career in compliance as a stepping-stone for study at a higher level. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Following successful completion of this course, students will be awarded the ICA Certificate in Compliance and will be able to use the designation 'Cert. (Comp). This course is awarded in association with Alliance Manchester Business School, the University of Manchester. This ICA Certificate in Compliance course provides Participants with a detailed overview of the following topics: What is regulation and why do we need it? How did we get to where we are today? The role of compliance Compliance in practice How will you be assessed? A 1 hour multiple choice closed book exam that is taken online

First aid to cover the curriculum requirements and much, much more. 10 week bite sized learning course with tasks and knowledge self checks.

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified 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 comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 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 Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills 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- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. 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.

In the dynamic landscape of education in the UK, the demand for skilled Teaching Assistants is more crucial than ever. As schools grapple with evolving classroom needs, the role of Teaching Assistants has become central to addressing these challenges. Stay ahead of the curve with our comprehensive Teaching Assistant Diploma, designed to equip you with the essential skills needed to thrive in the modern educational environment. Learning Outcomes Upon completion of this Diploma in Teaching Assistant bundle, you should be able to: Develop a deep understanding of Teaching Fundamentals for effective classroom engagement. Master the principles of Early Years Foundation Stage (EYFS) teaching methods. Acquire the skills necessary to excel as a Primary Teacher in diverse educational settings. Demonstrate proficiency in teaching English online, expanding your reach and impact. Enhance your language expertise with a Level-3 English Grammar Course. Navigate the complexities of High School Math, supplemented by time-saving tricks and shortcuts. Dive deep into Teaching Fundamentals, explore the intricacies of EYFS teaching, and master the art of lesson planning. From honing your English grammar expertise to navigating the nuances of High School Math, this diploma ensures you are well-rounded and ready to support both students and educators. Be prepared for a fulfilling career journey as you delve into the intricacies of being a Primary Teacher, explore the world of Teaching English Online, and gain invaluable insights into School Administration. This Diploma in Teaching Assistant Bundle Consists of the following Premium courses: Course 01: Teaching Assistant Diploma Course 02: Teaching Fundamentals: Make Concepts Easy to Understand Course 03: EYFS Teaching Course 04: Primary Teacher Course 05: Teaching English Online Course 06: Level-3 English Grammar Course Course 07: High School Math Course 08: Math Tricks & Shortcuts Course 09: Lesson Planning for Teaching Course 10: School Administrator Course 11: The Complete Guide To Getting A Teaching Job CPD 110 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Aspiring Teaching Assistants looking to excel in the evolving education landscape. Individuals seeking a holistic understanding of teaching fundamentals. Professionals interested in specialising in Early Years Foundation Stage (EYFS) teaching. Primary Teachers aiming to enhance their skills and diversify their expertise. Those aspiring to teach English online, broadening their educational impact. Individuals with a passion for mathematics, eager to support high school students in their learning journey. Requirements No requirements to enrol this Diploma in Teaching Assistant course. Career path Teaching Assistant: £18,000 - £24,000 per annum Primary Teacher: £25,714 - £41,604 per annum Online English Tutor: £20 - £30 per hour School Administrator: £18,000 - £30,000 per annum Educational Consultant: £25,000 - £40,000 per annum Lesson Planning Coordinator: £20,000 - £28,000 per annum Certificates CPDQS Accredited e-Certificate Digital certificate - Included CPDQS Accredited Hard-Copy Certificate Hard copy certificate - Included You will get the Hard Copy certificate for the title course (Teaching Assistant Diploma) absolutely Free! Other Hard Copy certificates are available for £10 each. Please Note: The delivery charge inside the UK is £3.99, and the international students must pay a £9.99 shipping cost.

Are you already on your way in your Facilities Management career? Are you looking to advance into the next professional level in Facilities Management? This Level 4 Certificate in Facilities Management course is delivered via our well-established Virtual Learning Environment. All course content is fully available via the screen or for download and can be accessed anytime, anywhere so you can plan your own schedule.

The popularity of adopting a vegan diet is on the rise and there is a reason for it. Apart from the numerous nutrient benefits, plant-based diets also boost metabolism and help you lose weight naturally. And guess what? It can be delicious too! This Online Vegan Vegetarian Cooking School is a great collection of vegan recipes, explained in detail, and a thorough step-by-step process. The course will provide you with more than just recipes, you will get a break down on the ingredients and the nutrients they encompass. This course is suitable for anyone who is interested in delicious vegan meals or just wants to broaden their knowledge as a cook and give your family a healthy yet appetizing vegan treat. Upon completion, you will be able to create delicious vegan meals for breakfast, lunch, supper, and also for special occasions.  What you'll learn Develop skills to cook vegan Getting Started Vegan Cooking - measuring, kitchen tips, organizing your vegan cupboards, and how to become vegan or vegetarian. Understand basic nutrition for vegans and vegetarians Learn what the body needs for nutritents and where to get them on a vegan diet. Calicum, Iron, Protein, and much more. Create delicious meals with the many recipes included Discover easy breakfasts, fast lunches, and much more Choose the right ingredients for substitutions and for health Discover common and uncommon ingredients used in vegan cooking Make delicious desserts that are healthy enough to eat as a meal Who is this Course for? This course is perfect for anyone seeking a guide to cooking vegan or vegetarian. The plant-based diet plans are suitable for both vegetarian and non-vegetarians, or anyone looking for nutritious yet appetizing green recipes. Requirements Access to basic kitchen appliances. No specific qualifications are required or assumed, only your willingness to lead a healthier and happier life with your family. Fully accessible from any internet-enabled smart device. Lesson 1 - Getting Started Vegan Cooking Getting Started Vegan Cooking FREE 00:45:00 Lesson 2 - Learning about ingredients Ingredients FREE 01:26:00 Lesson 3 - Quick and Easy Breakfasts Cold Quick Breakfasts 01:15:00 Lesson 4 - Hot Delicious Breakfasts Hot Breakfasts 01:13:00 Lesson 5 - Packed Sack Lunches Sack Lunches 00:36:00 Sack Lunches - 3ABN Lets Cook - 3 Programs 01:27:00 Lesson 6 - Hot Lunches and Main Meals Hot Lunches 01:12:00 Lesson 7 - Simple Suppers Simple Suppers 00:54:00 Lesson 8 - Healthy Vegan Holidays 1 Healthy Vegan Holidays 01:28:00 Lesson 9 - Healthy Vegan Holidays 2 Healthy Vegan Holidays 01:49:00 Lesson 10 - Breads and Spreads Bread & Spreads 00:49:00 Bread & Spreads - Bonus 3ABN Today 00:55:00 Lesson 11 - Soup and Crackers Soups & Crackers 00:50:00 Lesson 12 - Healthy Desserts Healthy Desserts - Pies & Cobblers 00:52:00

Getting Started The ILM Level 5 Certificate in Leadership and Management is designed for practising project managers, department heads, and middle managers, helping them to develop skills and experience, improve performance and prepare for senior management responsibilities. At the Certificate level, the mandatory unit focuses on understanding different leadership styles and adopting the most effective style to motivate staff and achieve organisational goals. Another unit covers using and evaluating action learning for leadership development, planning, and undertaking activities to develop the learner's leadership performance. The benefits of an ILM qualification are endless. The Level 5 management course focuses on the development of an individual's ability to lead, motivate and inspire a team, to provide strategic leadership as well as improve day-to-day operational management, benchmarking their managerial skills and raising their profile within the organisation-making ILM Level 5 one of the best management qualifications to have. The Institute of Leadership and Management (ILM) Level 5 Certificate will build upon and broaden senior managers' skills, giving them the practical techniques to excel as strong and effective leaders. The ILM Level 5 Certificate aims at those with considerable management experience and those looking to take their next career step to higher-ranking leadership positions within an organisation. Studying with ILM delivered by SBTL offers the learner real, practical and transferable skills that can immediately be implemented in the workplace. Key Benefits The Level 5 Certificate in Leadership and Management is designed for practising middle managers, helping them to develop their skills and experience, improve performance and prepare for senior management responsibilities. Benefits for individuals  Understand yourself as a leader  Use feedback and self-review to enhance your leadership skills  Learn solid techniques for planning and implementing complex pieces of work  Put these skills into practice in your workplace  Raise your profile, get results and get a nationally recognised qualification.  Benefits for employers  Short, concise qualification focused on workplace-based activity  Give managers the tools to manage their own professional development  Managers with the self-awareness to lead and the practical skills to deliver results in your organisation. About Awarding Body Institute of Leadership & Management (ILM) is a professional body that helps people worldwide improve their leadership capabilities and advance their careers. All ILM qualifications are awarded by The City and Guilds of London Institute, founded in 1878 and incorporated into the Royal Charter. ILM qualifications are regulated and approved by Ofqual, the governing body for qualifications in the UK. What is included? A dedicated tutor for individual students to help and provide suggestions throughout the course. Providing formative assessment with formative feedback will support the learner to improve their achievements. Our online learning platform will provide all of the assessment materials. Platform independent accessibility of Online learning portal, SBTL delivers the course straight to the student's smartphone, tablet, laptop or desktop, enabling them to study at their convenience. Entry Requirements Must be 19 years of age and over Substantial experience as a manager or supervisor Should possess provable academic ability to complete a level 5 qualification Progression These qualifications will provide progression opportunities to other qualifications including: ILM Level 5 Diploma in Principles of Leadership and Management 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. Structure Credit Value: Minimum 13 credits Maximum 36 credits Rules of Combination: Minimum 13 credits, maximum 36 credits Minimum of 7 credits from Group 1 Maximum of 6 credits from Group 2 Unit Code Unit Title Credit Group 1 8607-506 Managing Stress and Conflict in the Organisation 3 8607-511 Managing Projects in the Organisation 4 Group 2 8607-402 Managing Equality and Diversity in Own Area 4 8607-415 Motivating people in the workplace 2 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.

ICA Certificate in Financial Crime Prevention A practical, introductory course that will give you a solid understanding of core financial crime, fraud, bribery, and corruption risks. This qualification explores: Financial crime - the risks Fraud controls - different strategies, systems, and controls in practice Fraud typologies in banking Bribery & corruption - the risks and international initiatives to combat these risks Fraud response policy - explore the objectives of a plan, the reporting channels and contingencies This course is awarded in association with Alliance Manchester Business School, the University of Manchester. There are many benefits of studying with ICA: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate Students can expect the following outcomes Understanding of the key risks and controls essential for financial crime prevention. Knowledge to help protect a firm against the continuous threat of financial crime Verifiable evidence of learning ICA Certificate in Financial Crime Following successful completion of the ICA Certificate in Financial Crime Prevention training course, students will be able to use the designation 'Cert. (FCA).' This course is awarded in association with Alliance Manchester Business School, the University of Manchester. This ICA Certificate in Financial Crime Prevention training course develops knowledge and practical skills in the following areas: What is Financial Crime? What Are the Financial Crime Risks? Fraud Controls Banking - Fraud Typologies Identity Theft and Electronic Crime Bribery & Corruption Fraud Response Policy Criminal Offences - exploring the UK system At the end of the course there is a one hour multiple choice examination that is taken online.

ICA Certificate in Anti Money Laundering A practical, introductory-level course that will give you a solid understanding of core money laundering and terrorist financing risks. Through this qualification, you will: discover what money laundering and terrorist financing are and why sanctions are important appreciate the vulnerabilities of financial institutions to money laundering and terrorist financing explore what anti money laundering and combating terrorist financing is in practice and what the legal and regulatory structures look like understand management obligations and the risk-based approach to money laundering and terrorist financing Suitable for operational or front-line staff and those considering embarking on a new career in AML as a stepping-stone for study at a higher level. This course is awarded in association with Alliance Manchester Business School, the University of Manchester. What are the benefits of undertaking this qualification?: Flexible learning solutions that are suited to you Our learner-centric approach means that you will gain relevant practical and academic skills and knowledge that can be used in your current role Improve your career options by undertaking a globally recognised qualification that hiring managers look for as part of their hiring criteria Many students have stated that they have received a promotion and/or pay rise as a direct result of gaining their qualification The qualifications ensure that you are enabled to develop strategies to help manage and prevent risk within your firm, thus making you an invaluable asset within the current climate This ICA Certificate in Anti Money Laundering is awarded in association with Alliance Manchester Business School, the University of Manchester. Upon successful completion of this course, students will be awarded the ICA Certificate in Anti Money Laundering - Cert (AML) What will you learn? Understanding Money Laundering, Terrorist Financing and Sanctions Vulnerabilities of financial institutions to money laundering and terrorist financing Anti money laundering and combating terrorist financing in practice Anti money laundering and combating terrorist financing - legal and regulatory structures Management obligations and the risk-based approach to money laundering and terrorist financing How will you be assessed? Assessed by online multiple-choice exam

Fastrack your career and qualify as a ski instructor while spending a winter in the world-famous resort of Meribel. Famous for its vast ski area and lively party atmosphere, this is the ideal European resort to kick-start your instructor career. As the season progresses, your skiing will transform as you work towards an internationally recognised Ski Instructor Qualification. In 10 weeks, you’ll cover piste performance training, freeride and freestyle sessions with sponsored athletes, and of course, your exams.