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Immerse yourself in the fascinating world of botanical sciences with our enticing bundle: "Reproduction in Flowering, Hydroponics and Kitchen Gardening." This curated package encompasses two highly sought-after QLS-endorsed courses: "Reproduction in Flowering Plants" and "Hydroponics Gardening Online Course." Following successful completion of these courses, you'll be rewarded with hardcopy certificates to showcase your accomplishments. But the knowledge journey doesn't stop there. Alongside the QLS-endorsed offerings, the bundle includes an additional five CPD QS accredited courses: "The Basics of Reproduction," "Forestry," "Horticulture," "Arboriculture," and "Environmental Law 2021." The fusion of these courses provides a holistic insight into the green sciences, equipping you with theoretical knowledge and an essential understanding of the field. Key Features of the Reproduction in Flowering, Hydroponics and Kitchen Gardening Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Reproduction in Flowering, Hydroponics and Kitchen Gardening bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Reproduction in Flowering Plants QLS Course 02: Hydroponics Gardening Online Course QLS Course 03: Kitchen Gardening 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: The Basics of Reproduction Course 02: Forestry Course 03: Horticulture Course 04: Arboriculture Course 05: Environmental Law 2021 In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self-Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Reproduction in Flowering, Hydroponics and Kitchen Gardening courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes: Understand the reproductive process of flowering plants. Learn the principles and applications of hydroponics. Gain a basic understanding of plant reproduction and its significance in horticulture. Learn about various types of forestry and its effects on the environment. Develop a clear understanding of horticultural practices and their importance. Discover the different facets of arboriculture. Understand the latest developments in environmental law and its implications for plant life. Discover the magic of botany with the "Reproduction in Flowering, Hydroponics and Kitchen Gardening" bundle. Enrich your understanding of plant reproduction, hydroponic practices, and the joys of kitchen gardening. These interactive courses, infused with quality content, offer a well-rounded perspective on various facets of horticultural studies and environmental law. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Individuals keen to explore the science behind plant reproduction. Aspiring gardeners interested in hydroponics and kitchen gardening. Environmental science students seeking a comprehensive understanding of environmental law. Horticultural enthusiasts wanting to dive deeper into forestry and arboriculture. Career path Plant Scientist - Average salary: £35,000 - £50,000 Hydroponics Specialist - Average salary: £27,000 - £35,000 Horticulturist - Average salary: £20,000 - £30,000 Arborist - Average salary: £20,000 - £35,000 Environmental Lawyer - Average salary: £70,000 - £120,000 Kitchen Gardener - Average salary: £15,000 - £25,000 (Note: Salaries are averages and can vary based on experience and location.) Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

>>24 Hours Left! Don't Let the Winter Deals Slip Away - Enrol Now!<< Welcome to our outstanding Sports (Therapy, First Aid, and Nutrition) Bundle at QLS Level 5! This power-packed bundle includes eight comprehensive courses to propel your knowledge and understanding of sports therapy, first aid, nutrition, coaching, medicine, and much more. Three of these courses are QLS-endorsed, offering exclusive insights into Sports Therapy, Sports First Aid, and Sports Nutrition. After completion, you'll receive a hardcopy certificate to showcase your theoretical knowledge and dedication. Additionally, you're given access to five CPD QS accredited courses. These cover Sports Coaching & Fitness Training, Sports Medicine Fundamentals, Thai Massage Therapy for Pain Management, Hydrotherapy, and Sports Agent. Every course in this bundle offers a deep dive into their respective subjects, providing you with an enriched theoretical understanding of the sports field. Discover a world of sports learning today! Key Features of the Sports (Therapy, First Aid and Nutrition) at QLS Level 5 Bundle: 3 QLS-Endorsed Courses: We proudly offer 3 QLS-endorsed courses within our Sports (Therapy, First Aid and Nutrition) at QLS Level 5 bundle, providing you with industry-recognized qualifications. Plus, you'll receive a free hardcopy certificate for each of these courses. QLS Course 01: Sports Therapy QLS Course 02: Sports First Aid - Level 5 QLS Course 03: Sports Nutrition 5 CPD QS Accredited Courses: Additionally, our bundle includes 5 relevant CPD QS accredited courses, ensuring that you stay up-to-date with the latest industry standards and practices. Course 01: Sports Coaching & Fitness Training Course 02: Sports Medicine Fundamentals Course 03: Thai Massage Therapy for Pain Management - Online Diploma Course 04: Hydrotherapy Course 05: Sports Agent In Addition, you'll get Five Career Boosting Courses absolutely FREE with this Bundle. Course 01: Professional CV Writing Course 02: Job Search Skills Course 03: Self Esteem & Confidence Building Course 04: Professional Diploma in Stress Management Course 05: Complete Communication Skills Master Class Convenient Online Learning: Our Sports (Therapy, First Aid and Nutrition) at QLS Level 5 courses are accessible online, allowing you to learn at your own pace and from the comfort of your own home. Learning Outcomes of the Sports (Therapy, First Aid and Nutrition) at QLS Level 5 Bundle: Gain a thorough understanding of Sports Therapy and First Aid procedures. Understand the principles of Sports Nutrition for athletic performance. Learn the fundamentals of Sports Coaching and Fitness Training. Understand the basics of Sports Medicine. Learn about the Thai Massage Therapy for Pain Management Start your learning journey straightaway! This Sports's curriculum has been designed by Sports experts with years of experience behind them. This course is extremely dynamic and well-paced to help you understand Sports with ease. You'll discover how to master the skill while exploring relevant and essential topics. CPD 250 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This bundle is ideal for: Students seeking mastery in this field Professionals seeking to enhance their skills Anyone who is passionate about this topic Career path Sports Medicine Specialist: Salary Range - £32,000 - £102,000 Sports Coaching and Fitness Trainer: Salary Range - £20,000 - £35,000 Thai Massage Therapist: Salary Range - £18,000 - £30,000 Certificates Digital certificate Digital certificate - Included Hard copy certificate Hard copy certificate - Included

Join us for this exciting online event where you can gain a Level 4 Award in Understanding the External Quality Assurance of Assessment Processes and Practice. Whether you're new to the field or looking to enhance your skills, this event is perfect for you.

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.

Getting Started The Level 7 Diploma in Logistics and Supply Chain Crisis Management will require learners to critically assess a broad spectrum of occupational health and safety implementation standards, risk assessment techniques, and models. Additionally, they will be expected to apply data mining methods in practical scenarios. The Qualifi Level 7 Diploma in Logistics and Supply Chain Crisis Management is designed to offer learners the following opportunities: Attain a recognized qualification from an internationally acclaimed awarding organization. Engage with a curriculum enriched with up-to-date content pertinent to the contemporary business landscape. Cultivate fresh skills and knowledge that can be promptly applied, particularly in the domain of supply chain risk and resilience management. Prepare for advanced leadership and be taught by esteemed academic and practitioner experts who possess practical experience across various logistics and supply chain sectors.   Key Benefits Assess and provide critical evaluations of various approaches and implementation standards relevant to logistics and supply chain operations. Appraise the significance of strategic leadership in the realm of supply chain risk management. Examine the consequences of globalization on the extended logistics and supply chain operations of organizations. Demonstrate an understanding of sustainability principles and their application in supply chain leadership. Analyse problem-solving techniques tailored to the specific demands of supply chain crisis management and resilience development. Effectively manage strategic risks and foster resilience within a global supply chain context. Key Highlights Are you a practicing logistics professional seeking a deeper understanding of the industry and aiming to advance into senior positions? Then, the Qualifi Level 7 Diploma in Logistics and Supply Chain Crisis Management is the ideal starting point for your career journey. This course will help you build a career and prepare individuals for future roles in the health and social care sector. Remember, the assessment for this qualification is based on assignments only, so you don't need to worry about taking exams. 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 materials, pathway materials, and 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 offer comprehensive tutor support through our dedicated support desk. If you choose the blended learning option, you can also enjoy live sessions with an assigned tutor, which you can book at your convenience.   Career Pathways Upon completion of the Level 7 Diploma in Logistics and Supply Chain Crisis Management, graduates may pursue various career paths in education and training, such as: Logistic Manager, with an average salary of £49,453 per year Supply Chain Analyst, with an average salary of £35,380 per year Inventory Manager, with an average salary of £32,000 per year Warehouse Manager, with an average salary ranging from £50,000 to £60,000 per year   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 structured to promote accessibility, eliminating artificial obstacles that may hinder entry and advancement. Prospective learners will gain admission through a center interview if they meet at least one of the following criteria: Possession of a Level 6 qualification in a related field. Holding a Bachelor's degree. Accumulating a minimum of 3 years of managerial work experience that substantiates current and pertinent industry expertise. Progression Upon successful completion of the QUALIFI Level 7 Diploma in Logistics and Supply Chain Crisis Management, learners have multiple avenues for progression, including: Advancing to a QUALIFI Level 7 and 8 Diploma. Direct entry into employment within a relevant professional field. Pursuing a suitable dissertation-only program for a Master's Degree in collaboration with one of our university partnerships 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- Critical Issues - Strategic Framework for Understanding Risk and Resilience Building Reference No : M/618/2775 Credit : 20 || TQT : 200 The primary aim of this unit is to empower learners to recognize, coordinate, and execute the necessary activities and procedures essential for devising logistics and supply chain strategies. UNIT2- Engineering Systems Views of Supply Chain Resilience Reference No : T/618/2776 Credit : 20 || TQT : 200 In this unit, learners will explore the process of constructing systems views in conjunction with relevant theories and practices. UNIT3- Sector-Specific Supply Chain Resilience Management Reference No : A/618/2777 Credit : 20 || TQT : 200 This unit will facilitate learners in comprehending the dynamics of comprehensive supply chains and the managerial decisions necessary to uphold risk mitigation strategies and resilience planning. UNIT4- Ethical and Social Supply Chain Management Reference No : F/618/2778 Credit : 20 || TQT : 200 The primary objective of this unit is to afford learners the chance to assess the fundamental concepts of ethical considerations and social capital within the context of contemporary global supply chains. UNIT5- Critical Issues - Supply Chain Crime, Corruption, and Terrorism Reference No : J/618/2779 Credit : 20 || TQT : 200 This unit is structured to direct learners' focus toward strategic concerns that require attention within the logistics and supply chain industry, with a particular emphasis on concealed elements like crime, corruption, and terrorism. UNIT6- Critical Issues - Management of Supply Chains During Natural Disasters, Climate Change, and Pandemics Reference No : A/618/2780 Credit : 20 || TQT : 200 The objective of this unit is to engage in a critical discussion and reflection on contemporary and emerging challenges associated with managing operations in the aftermath of climate change, natural disasters, and pandemic-type events. 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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Mastering 3ds Max and Photoshop Training Course. earn 3D design, modeling, and rendering with 3ds Max, and seamlessly integrate Photoshop skills. Expert instructors guide you in enhancing images and creating stunning renderings. Our 3ds Max course is designed to help you learn basic and advanced architectural visualisation. Click here for more info: Website Duration: 20 hours Approach: 1-on-1, Customized and Flexible pacing. Session Flexibility: Design your own timetable at your convenient hour between 9 am and 7 pm, Mon to Sat. 20-Hour Comprehensive Training in 3ds Max and Photoshop. Course Breakdown: Module 1: Introduction to 3ds Max (6 hours) Familiarization with 3ds Max's interface and workspace Navigation and basic modeling tools usage Creation and manipulation of primitive objects Object modification with modifiers for specific effects Materials, textures, and basic lighting techniques Introduction to rendering 3D scenes Module 2: Intermediate 3ds Max Techniques (6 hours) Advanced modeling with splines and polygons Camera creation and animation for realistic perspectives Character rigging and animation using bones Particle systems for visual effects and dynamic simulations Designing landscapes and outdoor scenes Exploration of advanced lighting and rendering methods Module 3: Introduction to Photoshop for 3D Artists (4 hours) Understanding Photoshop interface and essential editing tools Seamless integration of 3D models and textures between 3ds Max and Photoshop Creation and editing of textures and materials for realistic surfaces Post-production and compositing techniques to enhance 3D renders Module 4: Advanced Photoshop Techniques for 3D Artists (4 hours) Custom brush and texture creation for artistic elements Non-destructive editing using layer masks and adjustment layers Advanced compositing for seamless 3D element integration Crafting photorealistic textures and materials for impressive visuals Module 5: Project-Based Learning (4 hours) Application of learned techniques to a real-world project 3D modeling, texturing in Photoshop, and final image rendering Instructor feedback for project refinement Presentation of completed projects, showcasing acquired skills. Attendees will learn to craft intricate 3D models using Autodesk 3ds Max, mastering primitive objects, splines, and polygons for complex designs. Advanced Rendering Techniques: Participants will acquire skills in texturing, material application, lighting strategies, and rendering tools, crafting visually striking and lifelike 3D environments. Animation Prowess: Students will delve into object and character animation, simulation of perspectives with cameras, and the dynamic use of particle systems for visual effects and simulations. Essential Photoshop Proficiency: Attendees will gain vital Photoshop skills for post-processing, compositing 3D renders, and creating realistic textures, enhancing the quality of their 3D projects. Hands-On Project Engagement: Through practical projects, participants will receive expert feedback, honing their skills and demonstrating their expertise in real-world applications. Creative Problem-Solving Abilities: Attendees will cultivate creative thinking and problem-solving skills, enabling them to manifest their unique artistic visions in their 3D projects. Skills Acquired: Participants in the Mastering 3ds Max and Photoshop Training Course will gain advanced proficiency in 3D modeling, texturing, lighting, and rendering using 3ds Max. Additionally, they will master digital image manipulation, graphic design, and photo editing techniques using Photoshop. Key skills include: Advanced 3D Modeling and Rendering in 3ds Max Expert Texturing and Lighting Techniques Digital Image Manipulation and Retouching in Photoshop Graphic Design and Visual Communication Skills Job Opportunities: Upon completion, individuals can pursue a range of exciting career opportunities, including: Senior 3D Artist Game Developer Architectural Visualization Specialist Graphic Designer Visual Effects Artist This course equips participants with the expertise needed for roles in animation studios, game development companies, architectural firms, advertising agencies, and more, providing a pathway to thriving careers in the creative industry. Advantages of joining this program: Thorough education: Excel in 3ds Max and Photoshop for high-quality visual effects and motion graphics at a professional level. Certified mentors and industry specialists: Receive instruction from seasoned professionals for expert direction. Interactive online sessions: Engage from any location; no need for travel. Lesson recordings: Access recorded sessions for revision and reinforcement. Long-term email assistance: Receive ongoing support even after the course completion. Complimentary career guidance: Gain valuable industry insights to boost your career prospects. Download Adobe Photoshop Download Autodesk 3dsmax