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Start your career as a DevOps Engineer and earn upto £47,500/ Month Do you dream of being the ultimate programmer with six-figure earnings? With the global IT industry evolving at a breakneck speed, the demand for DevOps engineers, specialists in integrating and streamlining development and operations, is skyrocketing. According to a recent LinkedIn job survey, in the UK, the demand for DevOps engineers surged by a staggering 38% in 2022. This trend has resulted in an upsurge in average salary rates, with seasoned DevOps professionals earning up to £80,000 per year. Recognising this exponential growth, we are delighted to introduce our holistic DevOps Engineer Program. Comprising five in-depth courses, our program is meticulously designed to guide you through the nuances of this booming field, setting the foundation for your success in this rewarding career. Our mission is simple - to be your trusted partner every step of the way, from training to employment. In addition to teaching you the technical skills you need, we will also provide you with career mentoring and support. We will help you build your resume, prepare for interviews, and land your dream job. We also have partnerships with many companies that are hiring DevOps Engineers, so we can help you get your foot in the door. If you are not happy with our service, we also offer a 100% money-back guarantee. So what are you waiting for? Enrol in our DevOps Engineer Training Program today and start your journey to becoming a successful DevOps Engineer! If you have any questions, you can contact us. We will be happy to provide you with all the information you need. Why Choose Us? So, what sets us apart from other programs? Let's dive into the exceptional benefits you'll experience when you join our DevOps Engineer Program: Personalised Guidance: We believe in the power of individual attention. Our experienced mentors will provide one-on-one counselling sessions tailored to your specific needs. Whether you're a beginner or have some experience, we will guide you towards honing your skills and developing a strong foundation in DevOps Engineering. One-On-One Consultation Sessions with Industry Experts: Gain invaluable insights and guidance from seasoned professionals who have thrived in the Software Development field. Our consultation sessions provide you with insider tips, tricks, and advice, empowering you to navigate the industry with confidence and expertise. Extensive Job Opportunities: We have established partnerships with numerous companies actively seeking DevOps Engineers. Through our network, we'll connect you with exclusive job openings that are not easily accessible elsewhere. Interview Preparation: No more stress over unexpected interview questions. We provide you with access to a comprehensive database of potential interview questions curated over years of industry experience. Walk into your interviews confident, well-prepared, and ready to impress. Money-Back Guarantee: Your satisfaction is our top priority. We are confident in the quality of our training and support, which is why we offer a 100% money-back guarantee. Continuous Career Support: Our commitment doesn't end when you secure a job. We'll be there for you throughout your career journey, offering continued support and guidance. Here are the courses we will provide once you enrol in the program: Course 01: Ultimate PHP & MySQL Web Development Course & OOP Coding Course 02: Learn Web Development from Scratch Course 03: Learn to Code HTML, CSS, Javascript: Guide for Beginners Course 04: Bootstrap 4 Responsive Web Development Course 05: Start Your Career as Web Developer - Complete Training Course 06: Front-End Web Development Training for Everyone Course 07: Penetration Testing with OWASP ZAP: Mastery course Course 08: Ionic & Angular JS: Mobile and Web Development Course 09: Basic Jira and Confluence Course 10: Internet of Things Course 11: PHP Webforms for Everyone Course 12: Restful API Web Services with PHP and MySQL: Bootcamp Course 13: PHP for Beginners 2023 Guide: Develop an ECommerce Store Course 14: Modern PHP Web Development w/ MySQL, GitHub & Heroku Course 15: Azure Masterclass Course 16: Testing using SOAP UI Course 17: Learn Azure AD PowerShell for M365 Course 18: Bash Scripting, Linux and Shell Programming How Can We Offer Job Guarantees? HF Online provides consultancy, professional and educational services to many of the companies in the UK. During our intense exclusive training program, you will not just gain and complete the industry valuable certification but will gain industry experience as well, which is imperative to get your 1st job in the sector. The DevOps EngineerProgram is completed in 9 easy steps: Step 1: Enrol in the Programme Begin your exciting journey with us by enrolling in the DevOps Engineer Training program. Complete your registration and make a secure online payment. Remember, we offer a 14-day money-back guarantee if you're not completely satisfied. After you enrol in the Program, you will get lifetime access to 18 premium courses related to DevOps Engineer. These courses will teach you the knowledge and skills required to become a successful DevOps Engineer. Our customer service team will help you and keep in contact with you every step of the way. So you won't have to worry about a thing! Step 2: Initial One-On-One Counselling Session Once enrolled, you will be paired with a dedicated career mentor. Schedule your first one-on-one session to discuss your career aspirations, skills, experience, and any areas for potential growth. This conversation will shape your learning and development path. Step 3 - Certification upon Course Completion After learning from the courses, you must obtain certificates for each course. There will be exams for every course, and you have to pass them to get your certificate. To pass successfully, you must get 90% marks. Once you pass the exams, you will receive hardcopy certificates. These certificates will prove that you're an expert in the subject. Step 4: CV Revamping Our team of professionals will build you a compelling CV and LinkedIn profile. We'll ensure it presents your skills and qualifications effectively and is tailored to the needs and expectations of the programming/development industry. With these powerful tools in hand, you'll be fully prepared to tackle job interviews confidently. Step 5: Building Network and Submitting CV We understand the power of casting a wide net. We'll strategically submit your CV to various platforms and networks, expanding your reach and connecting you with valuable opportunities that align with your career goals. We will also make connections with many high-profile individuals and companies through your LinkedIn profile. Step 6: Interview Preparation With your CV ready, we'll move on to interview preparation. Gain exclusive access to our database of potential interview questions. Through simulated interviews with your mentor, you'll practice your responses and receive valuable feedback to further refine your skills. Step 7: Securing Job Interviews Leveraging our partnerships with leading companies, we'll secure job interviews for you. We'll ensure you get the opportunity to showcase your skills to potential employers and get the dream job you want. Step 8: Post-Interview Support Post-interview, we'll provide a debriefing session to reflect on your performance and identify areas of improvement for future interviews if necessary. Remember, our commitment extends until you land your dream job. Step 9: Celebrate Your New Job! Once you've secured your dream job in DevOps Engineering, it's time to celebrate! However, our support doesn't end there. We'll provide you with ongoing career advice to ensure you continue to thrive in your new role. We're excited to accompany you on this journey to success. Enrol today, and let's get started! Your path to a successful career in DevOps Engineering. CPD 100 CPD hours / points Accredited by CPD Quality Standards Who is this course for? This course is ideal for IT professionals looking to upskill and transition into the DevOps field, including: Software Developers seeking to understand the end-to-end software development lifecycle. System Administrators wishing to learn more about automation and improving efficiency. IT Project Managers aspiring to enhance their team's collaboration and performance. Beginners who are interested in kickstarting their career in DevOps. Requirements No experience required. Just enrol & start learning. Career path Junior DevOps Engineer: £35,000 - £45,000 per annum DevOps Engineer: £50,000 - £75,000 per annum Senior DevOps Engineer: £80,000 - £100,000 per annum DevOps Consultant: £70,000 - £120,000 per annum DevOps Team Lead: £90,000 - £130,000 per annum Certificates CPD Accredited e-Certificate Digital certificate - Included CPD Accredited Framed (Hardcopy) Certificate Hard copy certificate - Included Enrolment Letter Digital certificate - Included QLS Endorsed Hard Copy Certificate Hard copy certificate - Included Student ID Card Digital certificate - Included

The Practitioner in Emotional Intelligence course explores the concept of emotional intelligence in detail building upon what you know to give you a much deeper understanding. The course covers the experience of the inner world; how attitudes, beliefs, values and preferences drive behavioural responses and how feelings can be regulated with more effectiveness.

Getting Started OTHM Level 3 Diploma in Business Studies equips the learner with the abilities and data to work the business and this course change the learner to grasp the connected problems to business and business environment. And this qualification helps the learner to urge full knowledge concerning the business functions and its role in our society. when completion of this course the learner will qualify the following level. Qualification awarded by OTHM RQF Level 3 represents sensible knowledge, skills, capabilities, and competencies that are assessed in tutorial terms as being like GCE AS/A Levels. Key Benefits Understand different learning styles. Learn IT skills for business writing Understand different learning styles. Understand different types of businesses and their functions. Understand the principles of people management Key Highlights Wishing to Empower yourself to contribute to the world in future? Then, SBTL delivers OTHM Level 3 Diploma in Business Studies, an in-depth understanding of the operations and structure of businesses. OTHM qualifications Level 3 represent practical knowledge, skills, capabilities and competences that are assessed in academic terms as being equivalent to GCE AS/A Levels. 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 OTHM approved tutors who would be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide you with comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways The OTHM Level 3 Diploma in Business Studies can open many career pathways including, but not limited to: Claims Handler (Entry Level); with an estimated average salary of £18,000 per annum Customer Support Assistant (Entry Level); with an estimated average salary of £20,593 per annum Administration Assistant (Entry Level); with an estimated average salary of £22,675 per annum Trainee Payroll Executive (Entry Level); with an estimated average salary of £21,000 per annum Marketing Assistant (Entry Level); with an estimated average salary of £22,500 per annum About Awarding Body OTHM is an established and recognised Awarding Organisation (Certification Body) launched in 2003. OTHM has already made a mark in the UK and global online education scenario by creating and maintaining a user-friendly and skill based learning environment. OTHM has both local and international recognition which aids OTHM graduates to enhance their employability skills as well as allowing them to join degree and/or Master top-up programmes. OTHM qualifications has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Business Studies, Leadership, Tourism and Hospitality Management, Health and Social Care, Information Technology, Accounting and Finance, Logistics and Supply Chain Management. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through SBTL Support Desk Portal. Access to our cutting-edge learning management platform where you will be able to access vital learning resources and communicate with support desk team. Quality learning materials such as 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. Formative assessment feedback will be provided by the tutors to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through online learning platform. This facilitates SBTL in providing learners with course materials directly through smartphone, laptop, tablets or desktop offering students' opportunity to study as per their convenience. Live Classes (for Blended Learning Students only). Assessment Time-constrained scenario-based assignments No examinations Entry Requirements Learners must be 18 years of demonstrate the ability to undertake the learning and Assessment A learner not from a majority English-speaking country must provide evidence of English language competency. Progression OTHM Level 4 diplomas Direct entry into the first year of a 3-year UK Bachelor's degree Direct entry into a range of their Bachelor's degree programmes. Why gain a OTHM Qualification? Quality, Standards and Recognitions- OTHM qualifications are approved and regulated by Ofqual (Office of the Qualifications and Examinations Regulation) hence the learners can be very confident about the quality of the qualifications as well. Career Development to increase credibility with employers- All OTHM qualifications are developed to equip learners with the skills and knowledge that every employer is looking for. The learners pursuing an OTHM qualification will obtain an opportunity to enhance knowledge and grow key competencies to tackle situations and work projects more effectively which will in turn gives learners the potential to get promotion within workplace. Alternatively, it allows them to progress onto a MBA top-up/ Bachelor degree / Master degree programmes around the World. Flexible study options- All OTHM qualifications has a credit value which tells you how many credits are awarded when a unit is completed. The credit value will give an indication of how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: Award is achieved with 1 - 12 credits Certificate is achieved with 13 - 36 credits Diploma is achieved with at least 37 credits The Level 3 Diploma in Business Studies qualification consists of 4 mandatory units plus 2 optional units for a combined total of 60 credits, 600 hours Total Qualification Time (TQT) and 360 Guided Learning Hours (GLH) for the completed qualification. 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- Introduction to Research and Academic Skills Reference No : R/616/0686 Credit : 10 || TQT : 100 This unit aims to supply learners with a grounding within the key analysis and tutorial skills needed for winning study at this level and later employment and/or more study. UNIT2- Using IT for Business Reference No : J/616/2712 Credit : 10 || TQT : 100 The aim of this unit is to introduce learner with the importance of IT in business development in current business world UNIT3- Introduction to Economics and Accounting Reference No : D/616/0691 Credit : 10 || TQT : 100 This unit aims to provide learners deep understanding of the role of economics and accounting in a business environment. UNIT4- Managing Business Events Reference No : R/616/2714 Credit : 10 || TQT : 100 This unit aims to develop learners' to know about the principles that apply to the planning and management of events in different business sectors UNIT5- Introduction to Marketing Reference No : D/616/2716 Credit : 10 || TQT : 100 The aim of this unit is to develop the learnersto know the principles that apply to marketing in a business environment, including marketing models, sales principles, and marketing planning. UNIT6- Introduction to the Business Environment Reference No : L/616/2713 Credit : 100 || TQT : 100 The goal of this unit is to make the learner aware of different type of business, their function, and structures, as well as understanding basic marketing principles. 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.

This Strategy Challenge workshop is designed to provide an opportunity for senior management teams to practice and develop their strategic thinking skills - individually and collectively. It gives a 'safe space' and uses examples designed to 'stretch the strategic thinking muscles'

Students who complete PV202 will be able to: Define the purpose of the National Electrical Code (NEC®) and NEC® terminology for PV equipment Determine procedures for proper installation of equipment and conductors, including minimum requirements for working space Examine methods for PV wire management and determine where expansion fittings are required Describe and identify electrical services, including split-phase and three-phase Wye (Y) and Delta (∆) Evaluate electrical service details to collect and record during solar site evaluation Identify options for NEC®-compliant PV system interconnection to the utility grid and determine whether a supply side, load side, or additional service connection is appropriate Identify code-compliant methods for connecting an inverter to an existing AC feeder Calculate PV module voltage based on temperature to ensure compatibility with system components and NEC® Section 690.7, and explore other options for maximum PV system DC voltage calculations Identify NEC® requirements and sizing of disconnects and overcurrent protection devices (OCPDs) in grid-direct PV systems Define inverter grounding configurations Evaluate inverter choices and system configurations, including string inverters, central inverters, and module level power electronics (MLPE) Identify requirements for equipment grounding, equipment grounding conductors (EGC), and grounding electrode conductors (GEC), and size the conductors according to the NEC® Identify common causes of ground-faults and arc-faults Describe ground-fault and arc-fault protection devices Describe benefits and appropriate locations of surge protection devices (SPD) Demonstrate the use of sun charts and perform calculations to determine row spacing and minimize inter-row shading Identify how Codes detailing access for first responders impact PV array roof layout Examine fire classifications that affect racking and module selection Detail NEC rapid shutdown requirements and options for implementation Identify load and structural considerations for low- and steep-slope roof-mounted PV systems Calculate wind uplift force and select appropriate lag bolts Review issues related to planning, design, and installation of ground-mount PV arrays Review PV system circuit terminology, definitions, and conductor types Calculate minimum overcurrent protection device (OCPD) size and conductor ampacity using appropriate adjustment and correction factors Calculate voltage drop and verify system operation within acceptable limits Examine requirements for PV system labeling Calculate the maximum and minimum number of modules per PV source circuit, and number of PV source circuits per inverter Determine size of residential grid-direct PV system based on site and customer-specific considerations including the number and wiring layout of modules, conductor and OCPD sizes, and the AC interconnections Determine the size of a large, multiple inverter, grid-direct PV system based on site and customer-specific considerations, including the quantity and layout of modules and inverters and the AC interconnection Define large-scale PV and review associated NEC® allowances and requirements Describe importance of Data Acquisition Systems (DAS) Identify common DAS equipment and hardware Review DAS design, installation, and commissioning processes and common problems associated with DAS Show how reports can be generated and utilized to remotely assess health of system

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.

ALLMI Lorry Loader -1 Day Refresher - 11th November 2023 -Periodic 7 Hour CPC Course  Equipment used - Lorry mounted cranes and Hook attachments.  Who Would Do This Training? Anyone who operates or intends to be operating lorry mounted cranes (sometimes referred to as HIAB’s) should undertake training as is required by the Lifting Operations and Lifting Equipment Regulations 1998. The courses are made to suit novice operators, experienced operators, those refreshing their training, or for attachment conversions. The courses are designed to ensure the efficient and safe operation of equipment. HIAB is really a brand name and the correct term for the equipment is ‘lorry mounted crane’ or ‘lorry loader crane’ (when mounted to a commercial vehicle). Other manufacturers of these types of cranes include Atlas, Cormach, Fassi, HMF, Hyva, Palfinger, Penny Hydraulics and PM. Which Industries Train with ALLMI? The ALLMI Lorry Loader Course is recognised by CSCS. The Lorry Loader Crane courses and Slinger Signaller courses, certificated by ALLMI, cover a wide variety of hydraulic cranes, both manually and electronically operated. Candidates and businesses can select the attachments they will be using depending on their needs and equipment. These needs may include the size of equipment and other equipment specifications such as remote controls or lifting capacities.

RESILIA Foundation Passport: On-Demand The RESILIA Foundation qualification takes participants through a lifecycle approach to organizational cyber resilience, from creating a strategy aligned to business objectives through to operational cyber resilience activities. The course is suitable for anyone who needs an awareness of how to protect an organization's information assets, as well as how to recover from a cyber breach. What You Will Learn At the end of this course, you will be able: Demonstrate your knowledge of the purpose, benefits, and key terms of cyber resilience Demonstrate your knowledge of the risk management and the key activities needed to address risks and opportunities Demonstrate your knowledge of the purpose of a management system and how best practices and standards can contribute Demonstrate your knowledge of the cyber resilience strategy, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience design, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience transition, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience operation, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience continual improvement, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of the purpose and benefits of segregation of duties and dual controls Course Introduction Introduction to Cyber Resilience Risk Management Managing Cyber Resilience Cyber Resilience Strategy Cyber Resilience Design Cyber Resilience Transition Cyber Resilience Operation Cyber Resilience Continual Improvement Cyber Resilience Roles & Responsibilities

Our online course equips you with the necessary skills to deliver quality leadership within care settings. The course content aligns with the National Occupational Standards (NOS) for Leadership and Management in Care Services, ensuring that you meet the required standards. You will gain the confidence to handle challenging situations and adapt to changing environments. The Level 5 Leadership and Management for Adult Care course provides essential training and guidance for the Level 5 Diploma in Leadership and Management for Adult Care (RQF). This qualification is the most up-to-date and recognised qualification for Registered Managers approved by CQC and Skills For Care.

Course Details Any persons carrying out non-licensed works with asbestos containing materials, as laid down in CAR 2012, Reg 3(2). This would normally include, but is not limited to, trade operatives such as demolition workers, construction workers, general maintenance staff, electricians, plumbers, gas fitters, painters and decorators, joiners, shop fitters, plasterers, roofers, heating and ventilation engineers, telecommunication engineers, computer installers, fire and burglar alarm installers, architects, building surveyors and other such professionals or any other persons likely to disturb and carry out work on asbestos containing materials as defined in CAR 2012.