317 Algorithms courses delivered Online

Duration 3 Days 18 CPD hours This course is intended for Experienced system administrators or network administrators, Network professionals who have experience working with VMware NSX Advanced Load Balancer and are responsible for designing or deploying Application Delivery Controllers solutions Overview By the end of the course, you should be able to meet the following objectives: Describe the NSX Advanced Load Balancer components and main functions Describe NSX Advanced Load Balancer Global Server Load Balancing architecture Explain NSX Advanced Load Balancer key features and benefits Understand and apply a Global Server Load Balancing design framework Deploy and configure NSX Advanced Load Balancer Global Server Load Balancing infrastructure Explain and Configure Global Server Load Balancing Application components such as Global Server Load Balancing Service, Global Server Load Balancing Pools and Health Monitors with related components Gather relevant information and perform basic troubleshooting of Global Server Load Balancing applications leveraging built-in NSX Advanced Load Balancer tooling Describe and Configure NSX Advanced Load Balancer application and infrastructure monitoring This 3-day course prepares you to lead VMware NSX Advanced Load Balancer (Avi Networks) Global Server Load Balancing design and deployment projects by providing an understanding of general design processes, frameworks and configurations. You look at the design and deployment considerations for Global Server Load Balancing as part of an overall software-defined data center design. This course covers key NSX Advanced Load Balancer (Avi Networks) Global Server Load Balancing features and functionalities offered in the NSX Advanced Load Balancer 18.2 release. Access to a software-defined data center environment is provided through hands-on labs to reinforce the skills and concepts presented in the course. Course Introduction Introductions and course logistics Course objectives Introduction to NSX Advanced Load Balancer Introduce NSX Advanced Load Balancer Discuss NSX Advanced Load Balancer use cases and benefits Explain NSX Advanced Load Balancer architecture and components Explain the management, control, data, and consumption planes and functions Virtual Services Configuration Concepts Explain Virtual Service components Explain Virtual Service types Explain and configure basic virtual services components such as Application Profiles, Network Profiles, Pools and Health Monitors DNS Foundations Review, discuss and explain DNS fundamentals Describe NSX Advanced Load Balancer DNS and IPAM providers Global Server Load Balancing Introduce Global Server Load Balancing concepts and benefits Explain and configure NSX Advanced Load Balancer infrastructure Explain and configure DNS Virtual Service components Explain and configure GSLB Service Engine Group Describe and configure GSLB Sites Explain and configure basic GSLB Services, to include pools and health monitors Describe GSLB Service Load Balancing algorithms Explain and configure Data and Control Plane-based Health Monitors Describe GSLB Health Monitor Proxy Global Server Load Balancing Advanced Topics Explain and configure advanced GSLB service properties such as different type of pool members, Host Header and TLS SNI extensions handling within GSLB Health Monitors Describe EDNS Client Subnet Describe Geo-aware Global Server Load Balancing Design and configure Geo-aware Global Server Load Balancing Describe and leverage DNS Policies to customize client experience Explain and configure Topology-aware Global Server Load Balancing Explain and configure GSLB 3rd party sites Describe GSLB Health Monitor sharding Describe GSLB Service Engine sizing implications Troubleshooting NSX Advanced Load Balancer GSLB Solution Introduce Infrastructure and Application troubleshooting Concepts Describe Control Plane and Data Plane-based troubleshooting Describe GSLB Infrastructure troubleshooting Describe GSLB Services troubleshooting Explain Health Monitors troubleshooting Describe Geo-aware and Topology-based GSLB Services troubleshooting Explain Application Analytics and Logs Describe Client Logs analysis Leverage CLI for advanced data plane troubleshooting Monitoring NSX Advanced Load Balancer Solution Describe NSX Advanced Load Balancer Events Describe and configure NSX Advanced Load Balancer Alerts Describe NSX Advanced Load Balancer monitoring capabilities leveraging SNMP, Syslog and Email

Getting Started OTHM Level 4 Diploma in Information Technology gives an overview of how the information technology sector can influence the scope of the learning environment in the present scenario. This course helps learners learn about the role of Information technology in business communication. The qualification helps the learner to understand the role of IT in productivity and profitability in high levels of business operations. Key Benefits The qualification will benefit learners to: To understand the role of IT in productivity and profitability in high levels of business operations. To attain the practical knowledge, skills, capabilities and competencies assessed in academic terms as equivalent to Higher National Certificates (HNC) and Year 1 of a three-year UK Bachelor's degree programme. To learn the fundamentals of cyber security, protection methods and how to manage a cyber-security attack. To attain a basic understanding of object-oriented programming languages and how to produce effective code. To gain a perspective on software development and the basic principles of algorithms. To create awareness of system analysis and design in an organisational context. To provide learners with an understanding of current web and mobile application design technology and the practices and tools used. To understand computer networking essentials and cloud technologies, their operating principles, protocols, standards, security considerations, and prototypes associated with this field. To understand the interaction between communications, knowledge and information. Completing the OTHM Level 4 Diploma in Information Technology provides learners with the opportunity for various academic progressions, including the OTHM Level 5 Diploma in Information Technology. Ofqual (Office of the Qualifications and Examinations Regulation) approves and regulates the qualification.   Key Highlights Do you want to avoid the recent technological know-how of Information Technology in Business Communication? Then, the OTHM Level 4 Diploma in Information Technology is the ideal starting point for your career journey. The program allows the learners to develop a broad base of knowledge and skills that will enable them to work in various roles in the IT industry. 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 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 4 Diploma in Information Technology can open many career pathways including, but not limited to: Application Analyst with an estimated average salary of £36,015 per annum Database Administrator, with an estimated average salary of £38,246 per annum Games Developer with an estimated average salary of £28,905 per annum Information Systems Manager, with an estimated average salary of £44,785 per annum IT Consultant with an estimated average salary of £37,485 per annum Systems Analyst, with an estimated average salary of £37,500 per annum Web Designer with an estimated average salary of £29,235 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 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. This 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 Learners must be 18 years old or older. Relevant NQF/QCF/RQF Level 3 Diploma or equivalent. International students whose first language is not English must score 5.5 or above in the IELTS Examination or equivalent. Progression Learners completing the OTHM Level 4 Diploma in Information Technology will allow progress to: OTHM Level 5 Diploma in Information Technology. Why gain a OTHM Qualification? Industry-focused programmes which meet global standards. Programs reviewed by highly qualified experts in the relevant sector. Career enhancement through advanced knowledge and skills that meet 21st-century employer needs. Availability of globally approved centres for enrolling in the desired program. Availability of flexible study options. The OTHM Level 4 Diploma in Information Technology consists of 6 mandatory units for a combined total of 120 credits, 1200 hours Total Qualification Time (TQT) and 480 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- Programming Foundations Reference No : A/617/2265 Credit : 20 || TQT : 200 Unit I entitles basic understanding of Object-oriented programming languages and how to produce effective code. Unit I also helps the non-programming technical staff to gain an idea about software development. The course is language neutral and teaches general concepts. UNIT2- System Analysis and Design Reference No : F/617/2266 Credit : 20 || TQT : 200 Unit II focuses on developing learners' awareness of analysis and design in an organisational context. The unit also contains various techniques used within systems analysis and design and the methodologies used in the system development process. UNIT3- Web and Multimedia Applications Reference No : J/617/2267 Credit : 20 || TQT : 200 The unit aims to provide learners with an understanding of current design technology and the practices and tools used. The learner will develop the ability to create new websites and will gain advance skills in web development. UNIT4- Computer and Network Technology Reference No : L/617/2268 Credit : 20 || TQT : 200 The Unit enables the learners with knowledge of computer networking essentials, how they operate, protocols, standards, security considerations and the prototypes associated with a range of networking technologies. Learners will also explore a range of hardware and related software and will learn to configure and install these UNIT5- Software Development Reference No : R/617/2269 Credit : 20 || TQT : 200 Unit V introduces the learners about the fundamental concepts of programming by focusing on software development process. It also briefs about the tools that assist in this process. Learners are given the choice to use a programming language of their choice. UNIT6- Managing Business Information Reference No : J/617/2270 Credit : 20 || TQT : 200 Unit covers the influence of IT system in keeping a company up to date with communication and knowledge. Learners will understand the interaction between communications, knowledge and information. It also briefs how IT systems can be used as a management tool for collecting, storing, disseminating and providing access to knowledge and information. 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.

Description Learn the methods, techniques, and vivid functions of hacking tools practically and theoretically doing the Network Hacking Diploma Level 3 course. Its precise contents guide you on your quest to become efficient in this field. If you are a network and system engineer, security officer, or IT passionate, this course is very effective for you. The course is designed in such a way that will assist you to become an ethical hacker knowing the facts about how to scan a network to identify its strength and weakness and perform in system hacking. The lab-based practical approaches of this course will assist you to know some vivid activities of Virus and Worms, Trojans, and Backdoors along with how to penetrate on the wireless network. At the end of the course, knowing the penetration system, you can mastery of hacking techniques and methods efficiently. Assessment: This course does not involve any MCQ test. Students need to answer assignment questions to complete the course, the answers will be in the form of written work in pdf or word. Students can write the answers in their own time. Once the answers are submitted, the instructor will check and assess the work. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Network Hacking Diploma Level 3 is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Network Hacking Diploma Level 3 is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Introduction Introduction 00:01:00 Introduction to Ethical Hacking. Footprinting and Reconnaissance Introduction to Ethical Hacking. Footprinting and Reconnaissance 00:25:00 Demo - Information Gathering using Google Dorks and DNS Queris 00:04:00 Demo - Scanning and Enumeration 00:08:00 Scanning Networks, Enumeration and Discovering Vulnearbilities Scanning and enumeration 00:09:00 Vulnerabilties Identification 00:08:00 Demo - Installing Nessus Scanner 00:04:00 Demo - Use Nessus to Discover Vulnerabilities 00:05:00 Demo - Using Nikto to discover Web Vulnerabilities 00:05:00 Demo - Using Paros for Vulnerability Discovery 00:05:00 Demo - Use Dirbuster to brute force sub-directories and filenames 00:03:00 System Hacking and Vulnerability Exploitation System hacking - vulnerability exploitation 00:06:00 Passwords 00:12:00 Authentication 00:07:00 Basics of Sniffing Sniffing 00:15:00 Metasploit Metasploit 00:17:00 Demo - Exploiting FTP Server Vulnerability using Metasploit 00:12:00 Demo - Post Exploitation Example 00:01:00 Demo - Exploiting NFS Vulnerability and exporting SSH Keys to the 00:10:00 Demo - Eploiting Samba Service on Linux using Metasploit 00:03:00 Demo - Windows backdoor using Metasploit 00:14:00 Trojans, Backdoors, Viruses and Worms Trojans and Backdoors 00:05:00 Computer viruses and worms 00:09:00 Cryptography Cryptography concepts 00:05:00 Cryptographic Algorithms 00:11:00 Cryptography and cryptanalysis tools. Cryptography attacks 00:03:00 Demo - Hack SSH passwords using Medusa 00:05:00 Hack the SSH Password using Hydra 00:05:00 Hack Linux Passwords using John the Ripper 00:03:00 Penetration Testing on Wireless Networks Penetration Testing on Wireless Networks 00:07:00 Case Study - Windows Hosted Network Bug or Feature 00:11:00 Penetration Testing Overview. Final words Penetration Testing Overview. Final Words 00:06:00 Bonus - OWASP Top 10 Vulnerabilities 00:18:00 (Bonus) Attacking the users trough websites - XSS and Beef-XSS Introduction to Cross-Site Scripting and Beef-XSS 00:08:00 XSS example - reflected 00:10:00 XSS example - stored 00:07:00 Beef-XSS Demo 00:16:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

Getting Started The OTHM Level 5 Extended Diploma in Information Technology, aims to offer learners a strong groundwork for a career across various organisations. This program prepares each learner to be 'business ready,' possessing confidence, independent thinking abilities, a comprehensive understanding of Information Technology, and the aptitude to adapt to evolving circumstances swiftly. Certainly, here are the key points: - This qualification suits individuals either embarking on or contemplating a private or public sector business career. - Attaining the Level 5 Diploma in Information Technology opens up avenues for further educational pursuits or employment opportunities. Key Benefits Comprehend methods and strategies for protecting against cyber security threats and vulnerabilities. Acquire the capability to develop a software program that addresses a problem using object-oriented programming principles. Acquire the ability to create a system design utilising modelling techniques. Acquire the capability to develop a website or mobile application that meets client and user requirements. Develop the ability to assist and resolve computing issues and problems effectively. Comprehend the compliance requirements and regulations associated with digital information. Key Highlights Are you worried about the recent changes in the IT sector? Then, OTHM Level 5 Extended Diploma in Information Technology is the ideal starting point for your career journey. The course will ensure access to the first-class education needed to achieve your goals and dreams and maximise 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 OTHM-approved tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide 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 After completing a Level 5 Extended Diploma in Information Technology, individuals can explore various career opportunities in the legal field and related professions. Here are some potential career paths:  Software Developer with an average salary of £46,384 per year Cyber security Analyst with an average salary of £49,002 per year Database Administrator, with an average salary of £41,063 per year IT Support Specialist with an average salary of £33,824 per year. 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 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 (Formative and Summative) No exam Entry Requirements These qualifications are intended for learners typically 18 years and older. Learners' entry profiles are expected to encompass at least one of the following criteria:  A relevant Level 3 Diploma qualification or its equivalent credential. Completion of GCE Advanced level courses in 2 subjects or an equivalent qualification. Mature learners aged over 21 with pertinent management experience (prior experience verification required from the delivery centre before registration) International students whose first language is not English must score 5.5 or above in IELTS (International English Language Testing System).   Progression Successful completion of the OTHM Level 5 Extended Diploma in Information Technology provides learners the opportunity to: Option for OTHM Level 6 Extended Diploma in Information Technology or Learners may be eligible to gain direct entry into the final year of a three-year UK Bachelor's degree. 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 every employer seeks. The learners pursuing an OTHM qualification will obtain an opportunity to enhance their knowledge and grow key competencies to tackle situations and work on projects more effectively, which will, in turn, give learners the potential to get promotions within the workplace. Alternatively, it allows them to progress onto an MBA top-up/Bachelor's degree / Master's degree programme around the World. Flexible study options- All OTHM qualifications have a credit value, which tells you how many credits are awarded when a unit is completed. The credit value will indicate how long it will normally take you to prepare for a unit or qualification. Three different types of qualification are: The award is achieved with 1 - 12 credits The certificate is completed with 13 - 36 credits The diploma is completed with at least 37 credits 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- CYBER SECURITY Reference No : D/650/3383 Credit : 20 || TQT : 200 In this unit, learners will acquire foundational knowledge about cyber security, including its historical evolution, legal and regulatory aspects, risk assessment and management, and its repercussions on individuals and organisations. Additionally, learners will gain insights into methods for safeguarding against cyber threats and how to respond to a cyber security breach effectively. UNIT2- PRINCIPLES OF COMPUTER PROGRAMMING Reference No : F/650/3384 Credit : 20 || TQT : 200 This unit aims to provide learners with a foundational comprehension of object-oriented programming languages and the ability to create efficient code. Additionally, it offers learners insight into software development and fundamental principles of algorithms. UNIT3- SYSTEMS ANALYSIS AND DESIGN Reference No : F/617/2266 Credit : 20 || TQT : 200 This unit aims to cultivate learners' understanding of system analysis and design within an organisational context. This unit introduces learners to various techniques employed in systems analysis and design and the methodologies utilised in system development. UNIT4- WEB AND MOBILE APPLICATIONS Reference No : H/650/3385 Credit : 20 || TQT : 200 This unit aims to provide learners with knowledge about contemporary web and mobile application design technology, along with the practices and tools commonly employed in this field. Learners will gain the skills needed to develop websites or mobile applications according to the provided design specifications. UNIT5- COMPUTER AND NETWORK TECHNOLOGY Reference No : L/617/2268 Credit : 20 || TQT : 200 This unit offers learners an insight into the fundamental concepts of computer networking and cloud technologies, including their operational principles, protocols, standards, security aspects, and associated prototypes. Learners will delve into various hardware and software alternatives and gain proficiency in configuring and installing these technologies. UNIT6- MANAGING DIGITAL INFORMATION Reference No : J/650/3386 Credit : 20 || TQT : 200 This unit aims to demonstrate how communication, knowledge, and information can be enhanced within an organisation, including optimising the utilisation of IT systems. UNIT7- SOFTWARE ENGINEERING Reference No : K/617/2276 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of software development, its evolution as an engineering discipline, and the ability to develop, maintain, and enhance high-quality software systems. UNIT8- DATABASE SYSTEMS Reference No : H/617/2275 Credit : 20 || TQT : 200 This unit aims to equip learners with knowledge in the development of database systems and to facilitate the development of robust skills in database design and development. UNIT9- ADVANCED SYSTEMS ANALYSIS & DESIGN Reference No : D/617/2274 Credit : 20 || TQT : 200 This unit aims to impart a comprehensive understanding of the roles of systems analysts and designers and enable learners to apply contemporary techniques associated with these roles. UNIT10- MANAGEMENT INFORMATION SYSTEMS Reference No : Y/617/2273 Credit : 20 || TQT : 200 This unit aims to provide learners with an understanding of how organisations utilise information to create, implement, maintain, and oversee secure information systems that facilitate their operations. This unit explores how systems can support essential business functions and empower organisations to enhance productivity and competitiveness in the global marketplace. UNIT11- NETWORK INFORMATION SYSTEMS Reference No : R/617/2272 Credit : 20 || TQT : 200 This unit aims to foster learners' understanding and proficiency in the planning, configuration, establishment, and administration of various network types, including LANs, PANs, MANs, and WANs. Additionally, it aims to cultivate skills in network monitoring and impart knowledge about Network Security, network protocols, and industry standards. UNIT12- IT PROJECT MANAGEMENT Reference No : L/617/2271 Credit : 20 || TQT : 200 This unit aims to cultivate learners' competencies in overseeing Information Technology projects aimed at implementing systems or effecting organisational change. 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 course for absolute beginners provides you with the opportunity to systematically learn core statistical and probability concepts, descriptive statistics, hypothesis testing, regression analysis, analysis of variance (ANOVA), and advanced regression/ML methods such as logistics regressions, polynomial regressions, decision trees, and more.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview This skills-focused combines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques. Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This course is intended for This course is geared for Python experienced developers, analysts or others who are intending to learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web. Overview Working in a hands-on lab environment led by our expert instructor, attendees will Understand the different kinds of recommender systems Master data-wrangling techniques using the pandas library Building an IMDB Top 250 Clone Build a content-based engine to recommend movies based on real movie metadata Employ data-mining techniques used in building recommenders Build industry-standard collaborative filters using powerful algorithms Building Hybrid Recommenders that incorporate content based and collaborative filtering Recommendation systems are at the heart of almost every internet business today; from Facebook to Net?ix to Amazon. Providing good recommendations, whether its friends, movies, or groceries, goes a long way in defining user experience and enticing your customers to use your platform.This course shows you how to do just that. You will learn about the different kinds of recommenders used in the industry and see how to build them from scratch using Python. No need to wade through tons of machine learning theory?you will get started with building and learning about recommenders as quickly as possible. In this course, you will build an IMDB Top 250 clone, a content-based engine that works on movie metadata. You will also use collaborative filters to make use of customer behavior data, and a Hybrid Recommender that incorporates content based and collaborative filtering techniques.Students will learn to build industry-standard recommender systems, leveraging basic Python syntax skills. This is an applied course, so machine learning theory is only used to highlight how to build recommenders in this course.This skills-focused ccombines engaging lecture, demos, group activities and discussions with machine-based student labs and exercises.. Our engaging instructors and mentors are highly-experienced practitioners who bring years of current, modern 'on-the-job' modern applied datascience, AI and machine learning experience into every classroom and hands-on project. Getting Started with Recommender Systems Technical requirements What is a recommender system? Types of recommender systems Manipulating Data with the Pandas Library Technical requirements Setting up the environment The Pandas library The Pandas DataFrame The Pandas Series Building an IMDB Top 250 Clone with Pandas Technical requirements The simple recommender The knowledge-based recommender Building Content-Based Recommenders Technical requirements Exporting the clean DataFrame Document vectors The cosine similarity score Plot description-based recommender Metadata-based recommender Suggestions for improvements Getting Started with Data Mining Techniques Problem statement Similarity measures Clustering Dimensionality reduction Supervised learning Evaluation metrics Building Collaborative Filters Technical requirements The framework User-based collaborative filtering Item-based collaborative filtering Model-based approaches Hybrid Recommenders Technical requirements Introduction Case study and final project ? Building a hybrid model Additional course details: Nexus Humans Applied AI: Building Recommendation Systems with Python (TTAI2360) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the Applied AI: Building Recommendation Systems with Python (TTAI2360) course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Master the skills you need to propel your career forward in instructional design. Equip yourself with the essential knowledge and skillset that make you a confident teacher or teaching assistant and take your career to the next level. This comprehensive course is designed to help you reach your professional goals. The skills and knowledge that you will gain through studying this instructional design for professionals course will help you get one step closer to your professional aspirations and develop your skills for a rewarding career. This instructional design for professionals course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. This comprehensive course will teach you the theory of effective design practice and equip you with the essential skills, confidence and competence to assist you in the industry. You'll gain a solid understanding of the core competencies required to drive a successful career in instructional design. This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an accredited qualification. Learn from expert tutors with industry experience, teaching you the latest expertise and best practice. This extensive course is designed for instructional design professionals who are aspiring to specialise in instructional design. Earn industry-recognised credentials to demonstrate your new skills and add extra value to your CV. Enrol today and take the next step towards your personal and professional goals. Check our all courses to upgrade your skills and become a professional in your desired field. Recognised Accreditation This course is accredited by continuing professional development (CPD). CPD UK is globally recognised by employers, professional organisations, and academic institutions, thus a certificate from CPD Certification Service creates value towards your professional goal and achievement. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. What is CPD? Employers, professional organisations, and academic institutions all recognise CPD, therefore a credential from CPD Certification Service adds value to your professional goals and achievements. Benefits of CPD Improve your employment prospects Boost your job satisfaction Promotes career advancement Enhances your CV Provides you with a competitive edge in the job market Demonstrate your dedication Showcases your professional capabilities What is IPHM? The IPHM is an Accreditation Board that provides Training Providers with international and global accreditation. The Practitioners of Holistic Medicine (IPHM) accreditation is a guarantee of quality and skill. Benefits of IPHM It will help you establish a positive reputation in your chosen field You can join a network and community of successful therapists that are dedicated to providing excellent care to their client You can flaunt this accreditation in your CV It is a worldwide recognised accreditation What is Quality Licence Scheme? This course is endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. The Quality Licence Scheme is a brand of the Skills and Education Group, a leading national awarding organisation for providing high-quality vocational qualifications across a wide range of industries. Benefits of Quality License Scheme Certificate is valuable Provides a competitive edge in your career It will make your CV stand out Course Curriculum Supplementary Resources Supplementary Resources - Instructional Design For Professionals 00:00:00 Introduction and Welcome to Curriculum Structural Design Start Here - Instructional Des 00:04:00 What Makes an Amazing Training Curriculum - Part 1 00:14:00 What Makes an Amazing Training Curriculum - Part 2 00:13:00 Identify With Your Audience Identify With Your Audience Introduction 00:05:00 Identify Their Roles 00:17:00 Identify Their Goals 00:09:00 Identify Their Why 00:18:00 Identify What They Do Identify What They Already Do 00:15:00 Identify What They Already Do Activity 00:18:00 Identify What They Want to Do 00:07:00 Identify What They Need to Do 00:09:00 Organize What They Do Organize What They Do Intro 00:07:00 Organize Tasks and Subtasks 00:19:00 Organize Tasks and Subtasks - Part 2 00:19:00 Create Modules and Lessons 00:16:00 Set Up a Curriculum Design Spreadsheet 00:20:00 Determine What to Teach Understanding Objectives 00:15:00 Understanding Objectives Activity 00:16:00 Determine Conventions to Teach 00:17:00 Determine Algorithms to Teach 00:17:00 Determine Concepts to Teach 00:17:00 Organize What to Teach Simplify and Group Objectives Part 1 00:06:00 Simplify and Group Objectives Part 2 00:17:00 Add Objectives to the Curriculum Design Spreadsheet 00:09:00 Mark Objectives For Assessments 00:11:00 Determine the Initial Class Structure Solidify Specific Course Groupings 00:15:00 Customize Course Titles and Lesson Titles 00:06:00 Determine Course Timelines 00:20:00 Final Assessment Assessment - Instructional Design For Professionals 00:10:00 Certificate of Achievement Certificate of Achievement 00:00:00 Get Your Insurance Now Get Your Insurance Now 00:00:00 Feedback Feedback 00:00:00

[vc_row][vc_column][vc_column_text] Description: This Python Basic to Advanced for Data Science Online Course is a great way to get started in programming. It covers the study of the Python language used to build most of the world's object-oriented systems. The course is for interested students with a good level of computer literacy who wish to acquire programming skills. It is also ideal for those who wish to move to a developer role or areas such as software engineering. This is a great course to develop your coding skills. This Python Basic to Advanced for Data Science Online Course is an ideal preliminary to the Object-Oriented Programming using Python. Join the course now! Entry Requirement This course is available to all learners, of all academic backgrounds. Learners should be aged 16 or over to undertake the qualification. Good understanding of English language, numeracy and ICT are required to attend this course. Certification: After completing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Why choose us? Affordable, engaging & high-quality e-learning study materials; Tutorial videos/materials from the industry leading experts; Study in a user-friendly, advanced online learning platform; The UK & internationally recognized accredited qualification; Access to course content on mobile, tablet or desktop from anywhere anytime; The benefit of career advancement opportunities; 24/7 student support via email. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market.[/vc_column_text][/vc_column][/vc_row] Python 3 Beginners Module 01 Introduction FREE 00:29:00 Starter Examples 00:33:00 Learning C Concepts 00:13:00 Module 02 Data Types and Inference 00:20:00 Sizeof and IEEE 754 00:33:00 Constants L and R Values 00:11:00 Operators and Precedence 00:25:00 Literals 00:26:00 Module 03 Classes and Structs FREE 00:22:00 Enums 00:14:00 Unions 00:16:00 Introduction to Pointers 00:11:00 Pointers and Array Indexing 00:12:00 Using Const with Pointers 00:09:00 Pointers to String Literals 00:12:00 References 00:14:00 Smart Pointers 00:22:00 Arrays 00:15:00 Standard Library Strings 00:13:00 More Standard Library Strings 00:18:00 Functions 00:06:00 More Functions 00:16:00 Function Pointers 00:15:00 Control Statements 00:18:00 Python 3 Intermediate Module 04 Installing Python FREE 00:17:00 Documentation 00:30:00 Command Line 00:17:00 Variables 00:29:00 Simple Python Syntax 00:15:00 Keywords 00:18:00 Import Module 00:17:00 Additional Topics 00:23:00 Module 05 If Elif Else 00:31:00 Iterable 00:10:00 For 00:11:00 Loops 00:20:00 Execute 00:05:00 Exceptions 00:18:00 Data Types 00:24:00 Module 06 Number Types 00:28:00 More Number Types 00:13:00 Strings 00:20:00 More Strings 00:11:00 Files 00:08:00 Lists 00:15:00 Dictionaries 00:04:00 Tuples 00:07:00 Sets 00:09:00 Module 07 Comprehensions 00:10:00 Definitions 00:02:00 Functions 00:06:00 Default Arguments 00:06:00 Doc Strings 00:06:00 Variadic Functions 00:07:00 Factorial 00:07:00 Function Objects 00:07:00 Module 08 Lambda 00:11:00 Generators 00:06:00 Closures 00:10:00 Classes 00:09:00 Object Initialization 00:05:00 Class Static Members 00:07:00 Classic Inheritance 00:10:00 Data Hiding 00:07:00 Python 3 Advanced Iterators and Generators FREE 00:16:00 Regular Expressions 00:19:00 Introspection and Lambda Functions 00:27:00 Metaclasses and Decorators 00:24:00 Modules and Packages 00:25:00 Working with APIs 00:15:00 Metaprogramming Primer 00:19:00 Decorators and Monkey Patching 00:21:00 XML and JSON Structure 00:10:00 Generating XML and JSON 00:17:00 Parsing XML and JSON 00:19:00 Implementing Algorithms 00:19:00 Certificate and Transcript Order Your Certificates and Transcripts 00:00:00

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