14485 Courses

Special Executive Masters Programme (S.E.M.P) This programme is geared at enhancing professionals' careers. The SEMP is an encapsulated Senior Management Programmes are short certificate modules designed for anyone who would benefit from more in-depth business knowledge delivered in a short and intensive programme What makes us different? We are a world class business school located in the heart of London, Dubai, Islamabad and Lagos. We are one of the fastest growing British business schools with a stylish blended learning model that is both online and on campus. Learn more about the programme Special Executive Master's Programme in Business Enterprise Software Course Overview The MSBM Special Executive Masters Programmes (SEMP) allows you to update your skills, develop new skills, and explore and develop interests in a wide range of topics. These courses can be taken as personal or professional development and may enhance your employability. Business Enterprise Software is a professional area of practice that assists enterprises in designing solutions to achieve their current and future business objectives. While enterprise software has most often been applied to complex technology environments with high technology investments, the practice is relevant for all types and sizes of enterprises. All enterprises have business goals and objectives, and all have resources that must be aligned with those goals in an effective and efficient way. Enterprise software is a critical first step in achieving those goals. One of the most important lessons from enterprise software is the importance of design and engineering before implementation.  Business Enterprise Software is a critical area today given the increasing complexity of our environment and the need for greater agility. The virtualization of work, the multinational nature of work, the increasingly semantic and personalized nature of applications, the richness of technology, the increasingly networked nature of the business, a shift from simple projects to complex projects — all speak to the need for Business Enterprise Software. Course Details Mode of Study Using Web-based technology, this program provides self-paced, individualized instruction that can be taken anywhere and anytime an individual has access to a computer and the Internet. This Programme is suitable for successful professionals or specialists in the private, public, or voluntary sectors who have new management responsibilities and need to quickly expand their management knowledge. This Programme serves as a refresher course for those who have had their Masters a long time ago and need quick reminders and professional/ academic updates while it serves as a primer for those very experienced Professionals who never made time out for their masters yet they require the academic and practical relevance of this master’s experience. It is a short executive training that runs online for 3 months. Candidates will run 2 months of active lectures and series of assignments and 1 month for their dissertation. Upon successful completion of the Programme, candidates will be awarded a Continuing Professional Development (CPD) certificate in the specific Programme they have completed. What is a CPD Course? Continuing Professional Development (CPD) is the means by which professionals maintain and enhance their knowledge and skills. The world is constantly moving at a very fast pace so undertaking CPD is essential to support a professional in his/her current role as well as helping them with career progression. CPD is all about upgrading knowledge, skills, and capabilities to remain effective and compliant. A CPD course is an investment that you make in yourself. It’s a way of planning your development that links learning directly to practice. CPD can help you keep your skills and knowledge up to date and prepare you for greater responsibilities. It can boost your confidence, strengthen your professional credibility, and help you become more creative in tackling new challenges. Is the SEMP Business Enterprise Software Programme, right for me? Many organizations are embracing the use of business software to support their business priorities and objectives, and are implementing initiatives and programs to deploy business analytics across the enterprise. For these initiatives to succeed, organizations need to understand the key drivers that will facilitate the promotion and deployment of business analytics across the enterprise. The SEMP BES online program will provide an overview of the key organizational drivers and dimensions and will explore how business software should be aligned to support the organization's priorities. This online Programme will also discuss the role and function of enterprise Business software centers of excellence and their types and mandates. The SEMP BES will provide a guideline for assessing your organization's maturity, and for establishing a roadmap for an Enterprise Business Software Center of Excellence at your organization.   Why SEMP Business Enterprise Software?  This non-credit-bearing course provides an excellent introduction to the world of business process and systems consulting, implementation, and management. It is particularly relevant both for experienced consultants that wish to gain a broader knowledge of Business enterprise and those wishing to enter business for the first time. The course enables you to rapidly gain knowledge about how modern management information systems are structured, how they are managed and the issues in integrating them to support effective business decision making. You will take away a deep understanding of how to integrate business systems and the processes underlying them. You will gain not only knowledge of specific aspects of business enterprise, but also gain an appreciation for how a large enterprise attempts to pull together different business processes through a coherent enterprise system, and the challenges facing the elite consulting companies in implementing such systems.   Who should enrol in this online Certificate Program? This online certificate program in Information System benefits professionals at all levels who want to contribute to their organization’s performance. Here are some of the people who will benefit from the online Programme: Cross-functional teams from within an organization can take the program, as that accelerates the impact and engenders a common language and understanding in the organization I.T Managers Business owners in the I.T Industry IT Trainers Accreditation The content of this course has been independently certified as conforming to universally accepted Continuous Professional Development (CPD) guidelines. Entry Requirements There are no strict entry requirements for this course. Work experience will be added advantage to understanding the content of the course. Workshops This is a self-study programme with unlimited tutor support. You will never be more than a message or phone call away from our tutors.

Paediatric First Aid at Work RQF is training designed mainly for those who work with children in a childcare setting and include both children and infants. This course also awards the learner with 8 UCAS points.

Why Choose 3D AutoCAD Basics to Advanced Training Course? Students learn how to create and modify both solid and surface models. This AutoCAD Training course also teaches students how to present their designs in 3D products and designs. Check our Website Duration: 16 hours Approach: 1-on-1, Book your own day and time. We are open Monday to Saturday 9 am to 7 pm.  How to Book this course? Call us on 02077202581 and we will book the dates and times you like. Flexible Schedule: 1-on-1 Face to Face or Live Online. AutoCAD 3D Training: Comprehensive Course Overview Exploration of 3D Modeling and Imaging Generating 3D Drawings Navigating the 3D Modeling Workspace Crafting 3D Shapes using Solid Tools Extruding Polylines into 3D Forms Isolating Coordinates with Point Filters Navigating and Orienting Your Model Achieving Visual Effects Converting 3D Views into 2D AutoCAD Drawings Advanced 3D Techniques Setting Up AutoCAD for 3D Mastering the User Coordinate System Leveraging UCS Options Utilizing Viewports for 3D Drawing Employing Array Tools Crafting Complex 3D Surfaces Constructing Spiral Forms Developing Surface Models Manipulating Objects in 3D Space Rendering and Visualization of 3D Drawings Introduction to Rendering Rapid Rendering Techniques Simulating Sunlight and Shadows Application and Adjustment of Materials Creating Effects with Lights and Materials Texture Mapping and Adjustments Exploration of Rendering Options Enhancing Views with Cameras Printing Rendered Drawings Simulating Natural Lighting Editing and Visualizing 3D Solids Overview of Solid Modeling Creation of Basic and Complex Solids Editing Solid Forms Improving the 2D Drawing Process Visualization and Analysis of Solids Exploration of 3D Mesh and Surface Modeling Introduction to 3D Meshes and Surfaces Creation and Editing of 3D Meshes Crafting Mesh Surfaces Conversion of Meshes to Solids Understanding and Editing 3D Surfaces Customization of Interface and Tools Customization of Workspaces Personalization of the User Interface Creation of Macros in Tools and Menus Working with Expanded Text Boxes Saving and Managing Customizations Exploration of the Diesel Macro Language Designing Custom Linetypes and Hatch Patterns Management and Sharing of Your Drawings Sharing Drawings Online ePublishing Your Work Managing Drawings with DesignCenter and Tool Palettes Exploring the Drawing Library with Content Explorer Establishment of Office Standards Conversion of Layer Settings https://www.autodesk.co.uk  Download a free 30-day trial of AutoCAD Learning outcomes after completing the AutoCAD 3D course. Professional Presentation: Create dynamic walkthroughs and presentations that effectively communicate your 3D models and designs. Certification: Obtain a certification as proof of your proficiency in AutoCAD 3D modeling, validating your skills in the industry. Mastery of 3D Modeling: Possess comprehensive skills, from fundamental concepts to advanced techniques in 3D modeling. Enhanced Career Prospects: Improve your career opportunities and prospects in various design-related fields such as architecture, engineering, and product design. Realistic Rendering: Be able to create highly realistic visualizations that enhance the quality of your designs. Practical Hands-On Experience: Gain practical experience and confidence in 3D modeling through extensive hands-on practice. Personalized Learning: Benefit from one-on-one attention and tailored training to meet your specific learning needs and pace. Lifetime Email Support: Continue to receive assistance and guidance through lifetime email support, ensuring you are supported even after completing the course. 3D AutoCAD Training Courses Gain confidence and proficiency in AutoCAD. Discover the fundamentals of 3D modeling and object creation in this introductory AutoCAD 3D course. Booking Your Training Course: Experience personalized training with our adaptable 1-on-1 sessions. You have the freedom to customize your schedule by reserving a convenient hour at your discretion. Our booking slots are available from Monday to Saturday, spanning from 9 a.m. to 7 p.m. You can also reach us at 02077202581 to make a booking over the phone. Course Duration: 10 hours "You have the flexibility to divide these 10 hours across multiple days to suit your ideal schedule." Training Method: 1-on-1 (In-person face-to-face or Live Online) Expect personalized attention, tailor-made content, a flexible learning pace, and dedicated individual support throughout your training journey. This hands-on course provides ample opportunities to experiment with newly acquired techniques and seek answers to your questions. Key Features: An introductory course tailored to AutoCAD 3D's essential features. Abundant one-on-one guidance and dedicated question time. Friendly expert trainers, small class sizes, and a comfortable learning environment. Comprehensive course materials and additional resources. Ongoing support and assistance with post-course challenges. What Will You Learn? This course will equip you with the foundational knowledge and workflows necessary to create 3D models within AutoCAD 3D. You will delve into the creation and modification of both solid and surface models. Upon completion, you will be able to: Effortlessly fashion intricate shapes by combining simple elements. Precisely extract geometries and dimensions from your creations. Easily customize the view and presentation style of your objects. Is This Course Right for You? No prior experience with AutoCAD 3D is required. This course caters to individuals proficient in working with 2D objects who aspire to construct 3D models of their designs. Gain proficiency in the fundamental tools and functionalities to create precise and professional 2D and 3D drawings, advancing to more complex techniques. Enhanced Efficiency: Discover time-saving strategies, tips, and workflows that will boost your productivity and streamline your design process within AutoCAD 3D. Versatility in Design: Develop the skills needed to undertake a wide range of projects, from architectural plans and engineering drawings to mechanical components and electrical schematics. Industry-Recognized Expertise: Cultivate in-demand skills relevant to architecture, engineering, construction, and manufacturing, paving the way for career advancement and professional development. Accessible Lesson Recordings: Access recorded lessons at your convenience to review and reinforce course material whenever necessary. Continuous Email Support: Benefit from ongoing assistance with lifetime email support, ensuring you have access to guidance, answers, and clarifications even beyond the completion of the course.

ICA Specialist Certificate Series ICA Certificate courses have been developed to meet the needs of people like you; regulatory or financial crime professionals working in a highly challenging, demanding and ever-changing environment. This is a series of short courses from which you can choose those that are relevant to your job role and aspirations, to enhance your knowledge. The courses available in this series are as follows:- ICA Specialist Certificate in Anti Corruption ICA Specialist Certificate in Combating the Financing of Terrorism ICA Specialist Certificate in Money Laundering Risk in Betting and Gaming ICA Specialist Certificate in Trade Based Money Laundering ICA Specialist Certificate in Financial Crime Risk in Global Banking and Markets ICA Specialist Certificate in Money Laundering Risk in Correspondent Banking ICA Specialist Certificate in Money Laundering Risk in Private Banking ICA Specialist Certificate in Financial Crime Risk in Mobile Financial Services ICA Specialist Certificate in Conduct Risk ICA Specialist Certificate in Anti Money Laundering and Art ICA Specialist Certificates, awarded in association with Alliance Manchester Business School, the University of Manchester, will help you quickly gain actionable knowledge to boost your confidence and credibility. 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 Training materials are delivered online and will include the course materials, self-assessment questions and recorded webinars. These courses are assessed by a one hour timed multiple choice assessment. For more detailed information about the content of these courses use the Request Information button and let us know which of the series you are interested in.

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.

Manager as Coach (On-Demand) This learning solution delivers a practical tool kit for developing coaching skills that you can leverage as a leader with your team. The objective of this course is to provide a platform for developing and growing key coaching skills so that you can help your team members become more self-sufficient and focused. This, in turn, helps you to become even more productive as your time is freed up, allowing you to focus on the strategic, big-picture direction. Learning will be supported through individual problem-solving exercises and conducted by a practicing, accredited professional coach/experienced workshop facilitator. What you will Learn You'll learn how to: Define what is coaching, what ifs not and what's in it for managers to coach Recognize difference between various developmental interactions like Coaching. Counselling and Mentoring Explain and interpret the different roles ofa manager and the process of coaching Practice skills of coaching as a manager Formulate an individual development plan for application at workplace Foundation Concepts What is coaching? Coaching in context The essence of coaching Core coaching skills Options for coaching Business case for coaching Qualities and Skills of a High-Performing Coach Core competencies of an effective coach Deep listening Exploring trust Emotional Intelligence in coaching Values at the heart of coaching relationship Core Skill: Asking Powerful Questions What is a powerful question? Becoming curious! Using powerful questions The Coaching Process Different styles of coaching Three coaching models - flow, practice and grow Spotlight on the grow model

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