6148 Computing courses

Getting Started The QUALIFI Level 3 Diploma in Data Science aims to offer learners a comprehensive introduction to data science. This Level 3 Diploma provides a modern and all-encompassing overview of data science, artificial intelligence, and machine learning. It covers the evolution of artificial intelligence and machine learning from their beginnings in the late 1950s to the emergence of the "big data" era in the early 2000s. It extends to the current AI and machine learning applications, including the associated challenges. In addition to covering standard machine learning models like linear and logistic regression, decision trees, and k-means clustering, this diploma introduces learners to two emerging areas of data science: synthetic data and graph data science. Moreover, the diploma familiarizes learners with the landscape of data analysis and the relevant analytical tools. It includes introducing Python programming so learners can effectively analyse, explore, and visualize data and implement fundamental data science models. Key Benefits Acquire the essential mathematical and statistical knowledge necessary for conducting fundamental data analysis. Cultivate analytical and machine learning proficiency using Python. Foster a solid grasp of data and its related processes, encompassing data cleaning, data structuring, and data preparation for analysis and visualisation. Gain insight into the expansive data science landscape and ecosystem, including relational databases, graph databases, programming languages like Python, visualisation tools, and various analytical instruments. Develop expertise in comprehending the machine learning procedures, including the ability to discern which algorithms are suited for distinct problems and to navigate the steps involved in constructing, testing, and validating a model. Attain an understanding of contemporary and emerging facets of data science and their applicability to modern challenges Key Highlights This course module prepares learners for higher-level Data science positions through personal and professional development. We will ensure your access to the first-class education needed to achieve your goals and dreams and to maximize future opportunities. Remember! The assessment for the Qualification is done based on assignments only, and you do not need to worry about writing any exam. With the School of Business and Technology London, you can complete the Qualification at your own pace, choosing online or blended learning from the comfort of your home. Learning and pathway materials and study guides developed by our qualified tutors will be available around the clock in our cutting-edge learning management system. Most importantly, at the School of Business and Technology London, we will provide comprehensive tutor support through our dedicated support desk. If you choose your course with blended learning, you will also enjoy live sessions with an assigned tutor, which you can book at your convenience. Career Pathways Upon completing the QUALIFI Level 3 Diploma in Data Science, learners can advance their studies or pursue employment opportunities. Data Analyst with an estimated average salary of £39,445 per annum Business Intelligence Analyst with an estimated average salary of £40,000 per annum Data entry specialist with an estimated average salary of £22,425 per annum Database Administrator with an estimated average salary of £44,185 per annum About Awarding Body QUALIFI, recognised by Ofqual awarding organisation has assembled a reputation for maintaining significant skills in a wide range of job roles and industries which comprises Leadership, Hospitality & Catering, Health and Social Care, Enterprise and Management, Process Outsourcing and Public Services. They are liable for awarding organisations and thereby ensuring quality assurance in Wales and Northern Ireland. What is included? Outstanding tutor support that gives you supportive guidance all through the course accomplishment through the SBTL Support Desk Portal. Access our cutting-edge learning management platform to access vital learning resources and communicate with the support desk team. Quality learning materials such as structured lecture notes, study guides, and practical applications, which include real-world examples and case studies, will enable you to apply your knowledge. Learning materials are provided in one of the three formats: PDF, PowerPoint, or Interactive Text Content on the learning portal. The tutors will provide Formative assessment feedback to improve the learners' achievements. Assessment materials are accessible through our online learning platform. Supervision for all modules. Multiplatform accessibility through an online learning platform facilitates SBTL in providing learners with course materials directly through smartphones, laptops, tablets or desktops, allowing students to study at their convenience. Live Classes (for Blended Learning Students only) Assessment Time-constrained scenario-based assignments No examinations Entry Requirements The qualification has been intentionally designed to ensure accessibility without imposing artificial barriers that limit entry. To enrol in this qualification, applicants must be 18 years of age or older. Admittance to the qualification will be managed through centre-led registration processes, which may involve interviews or other appropriate procedures. Despite the presence of advanced mathematics and statistics in higher-level data science courses, encompassing subjects such as linear algebra and differential calculus, this Level 3 Diploma only requires learners to be comfortable with mathematics at the GCSE level. The diploma's mathematical and statistical concepts are based on standard mathematical operations like addition, multiplication, and division. Before commencing the Level 3 Diploma in Data Science, learners are expected to meet the following minimum requirements: i) GCSE Mathematics with a grade of B or higher (equivalent to the new level 6 or above); and ii) GCSE English with a grade of C or higher (equivalent to the new level 4 or above). Furthermore, prior coding experience is not mandatory, although learners should be willing and comfortable with learning Python. Python has been selected for its user-friendly and easily learnable nature. In exceptional circumstances, applicants with substantial experience but lacking formal qualifications may be considered for admission, contingent upon completing an interview and demonstrating their ability to meet the demands of the capability. Progression Upon successful completion of the QUALIFI Level 3 Diploma in Data Science, learners will have several opportunities: Progress to QUALIFI Level 4 Diploma in Data Science: Graduates can advance their education and skills by enrolling in the QUALIFI Level 4 Diploma in Data Science, which offers a more advanced and comprehensive study of the field. Apply for Entry to a UK University for an Undergraduate Degree: This qualification opens doors to higher education, allowing learners to apply for entry to a UK university to pursue an undergraduate degree in a related field, such as data science, computer science, or a related discipline. Progress to Employment in an Associated Profession: Graduates of this program can enter the workforce and seek employment opportunities in professions related to data science, artificial intelligence, machine learning, data analysis, and other relevant fields. These progression options provide learners with a diverse range of opportunities for further education, career advancement, and professional development in the dynamic and rapidly evolving field of data science Why gain a QUALIFI Qualification? This suite of qualifications provides enormous opportunities to learners seeking career and professional development. The highlighting factor of this qualification is that: The learners attain career path support who wish to pursue their career in their denominated sectors; It helps provide a deep understanding of the health and social care sector and managing the organisations, which will, in turn, help enhance the learner's insight into their chosen sector. The qualification provides a real combination of disciplines and skills development opportunities. The Learners attain in-depth awareness concerning the organisation's functioning, aims and processes. They can also explore ways to respond positively to this challenging and complex health and social care environment. The learners will be introduced to managing the wide range of health and social care functions using theory, practice sessions and models that provide valuable knowledge. As a part of this suite of qualifications, the learners will be able to explore and attain hands-on training and experience in this field. Learners also acquire the ability to face and solve issues then and there by exposure to all the Units. The qualification will also help to Apply scientific and evaluative methods to develop those skills. Find out threats and opportunities. Develop knowledge in managerial, organisational and environmental issues. Develop and empower critical thinking and innovativeness to handle problems and difficulties. Practice judgement, own and take responsibility for decisions and actions. Develop the capacity to perceive and reflect on individual learning and improve their social and other transferable aptitudes and skills Learners must request before enrolment to interchange unit(s) other than the preselected units shown in the SBTL website because we need to make sure the availability of learning materials for the requested unit(s). SBTL will reject an application if the learning materials for the requested interchange unit(s) are unavailable. Learners are not allowed to make any request to interchange unit(s) once enrolment is complete. UNIT1- The Field of Data Science Reference No : H/650/4951 Credit : 6 || TQT : 60 This unit provides learners with an introduction to the field of data science, tracing its origins from the emergence of artificial intelligence and machine learning in the late 1950s, through the advent of the "big data" era in the early 2000s, to its contemporary applications in AI, machine learning, and deep learning, along with the associated challenges. UNIT2- Python for Data Science Reference No : J/650/4952 Credit : 9 || TQT : 90 This unit offers learners an introductory approach to Python programming tailored for data science. It begins by assuming no prior coding knowledge or familiarity with Python and proceeds to elucidate Python's fundamentals, including its design philosophy, syntax, naming conventions, and coding standards. UNIT3- Creating and Interpreting Visualisations in Data Science Reference No : K/650/4953 Credit : 3 || TQT : 30 This unit initiates learners into the realm of fundamental charts and visualisations, teaching them the art of creating and comprehending these graphical representations. It commences by elucidating the significance of visualisations in data comprehension and discerns the characteristics distinguishing effective visualisations from subpar ones. UNIT4- Data and Descriptive Statistics in Data Science Reference No : L/650/4954 Credit : 6 || TQT : 60 The primary objective of this unit is to acquaint learners with the foundational concepts of descriptive statistics and essential methods crucial for data analysis and data science. UNIT5- Fundamentals of Data Analytics Reference No : M/650/4955 Credit : 3 || TQT : 30 This unit will enable learners to distinguish between the roles of a Data Analyst, Data Scientist, and Data Engineer. Additionally, learners can provide an overview of the data ecosystem, encompassing databases and data warehouses, and gain familiarity with prominent vendors and diverse tools within this data ecosystem. UNIT6- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT7- Data Analysis with Python Reference No : R/650/4956 Credit : 3 || TQT : 30 This unit initiates learners into the fundamentals of data analysis using Python. It acquaints them with essential concepts like Pandas Data Frames and Series and the techniques of merging and joining data. UNIT8- Machine Learning Methods and Models in Data Science Reference No : T/650/4957 Credit : 3 || TQT : 30 This unit explores the practical applications of various methods in addressing real-world problems. It provides a summary of the key features of these different methods and highlights the challenges associated with each of them. UNIT9- The Machine Learning Process Reference No : Y/650/4958 Credit : 3 || TQT : 30 This unit provides an introduction to the numerous steps and procedures integral to the construction and assessment of machine learning models. UNIT10- Linear Regression in Data Science Reference No : A/650/4959 Credit : 3 || TQT : 30 This unit offers a foundational understanding of simple linear regression models, a crucial concept for predicting the value of one continuous variable based on another. Learners will gain the capability to estimate the best-fit line by computing regression parameters and comprehend the accuracy associated with this line of best-fit. UNIT11- Logistic Regression in Data Science Reference No : H/650/4960 Credit : 3 || TQT : 30 This unit introduces logistic regression, emphasizing its role as a classification algorithm. It delves into the fundamentals of binary logistic regression, covering essential concepts such as the logistic function, Odds ratio, and the Logit function. UNIT12- Decision Trees in Data Science Reference No : J/650/4961 Credit : 3 || TQT : 30 This unit offers an introductory exploration of decision trees' fundamental theory and practical application. It elucidates the process of constructing basic classification trees employing the standard ID3 decision-tree construction algorithm, including the node-splitting criteria based on information theory principles such as Entropy and Information Gain. Additionally, learners will gain hands-on experience in building and assessing decision tree models using Python. UNIT13- K-means clustering in Data Science Reference No : K/650/4962 Credit : 3 || TQT : 30 This unit initiates learners into unsupervised machine learning, focusing on the k-means clustering algorithm. It aims to give learners an intuitive understanding of the k-means clustering method and equip them with the skills to determine the optimal number of clusters. UNIT14- Synthetic Data for Privacy and Security in Data Science Reference No : L/650/4963 Credit : 6 || TQT : 60 This unit is designed to introduce learners to the emerging field of data science, specifically focusing on synthetic data and its applications in enhancing data privacy and security. UNIT15- Graphs and Graph Data Science Reference No : M/650/4964 Credit : 6 || TQT : 60 This unit offers a beginner-friendly introduction to graph theory, a foundational concept that underlies modern graph databases and graph analytics. Delivery Methods School of Business & Technology London provides various flexible delivery methods to its learners, including online learning and blended learning. Thus, learners can choose the mode of study as per their choice and convenience. The program is self-paced and accomplished through our cutting-edge Learning Management System. Learners can interact with tutors by messaging through the SBTL Support Desk Portal System to discuss the course materials, get guidance and assistance and request assessment feedbacks on assignments. We at SBTL offer outstanding support and infrastructure for both online and blended learning. We indeed pursue an innovative learning approach where traditional regular classroom-based learning is replaced by web-based learning and incredibly high support level. Learners enrolled at SBTL are allocated a dedicated tutor, whether online or blended learning, who provide learners with comprehensive guidance and support from start to finish. The significant difference between blended learning and online learning methods at SBTL is the Block Delivery of Online Live Sessions. Learners enrolled at SBTL on blended learning are offered a block delivery of online live sessions, which can be booked in advance on their convenience at additional cost. These live sessions are relevant to the learners' program of study and aim to enhance the student's comprehension of research, methodology and other essential study skills. We try to make these live sessions as communicating as possible by providing interactive activities and presentations. Resources and Support School of Business & Technology London is dedicated to offering excellent support on every step of your learning journey. School of Business & Technology London occupies a centralised tutor support desk portal. Our support team liaises with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receives a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and streamline all the support processes efficiently. Quality learning materials made by industry experts is a significant competitive edge of the School of Business & Technology London. Quality learning materials comprised of structured lecture notes, study guides, practical applications which includes real-world examples, and case studies that will enable you to apply your knowledge. Learning materials are provided in one of the three formats, such as PDF, PowerPoint, or Interactive Text Content on the learning portal. How does the Online Learning work at SBTL? We at SBTL follow a unique approach which differentiates us from other institutions. Indeed, we have taken distance education to a new phase where the support level is incredibly high.Now a days, convenience, flexibility and user-friendliness outweigh demands. Today, the transition from traditional classroom-based learning to online platforms is a significant result of these specifications. In this context, a crucial role played by online learning by leveraging the opportunities for convenience and easier access. It benefits the people who want to enhance their career, life and education in parallel streams. SBTL's simplified online learning facilitates an individual to progress towards the accomplishment of higher career growth without stress and dilemmas. How will you study online? With the School of Business & Technology London, you can study wherever you are. You finish your program with the utmost flexibility. You will be provided with comprehensive tutor support online through SBTL Support Desk portal. How will I get tutor support online? School of Business & Technology London occupies a centralised tutor support desk portal, through which our support team liaise with both tutors and learners to provide guidance, assessment feedback, and any other study support adequately and promptly. Once a learner raises a support request through the support desk portal (Be it for guidance, assessment feedback or any additional assistance), one of the support team members assign the relevant to request to an allocated tutor. As soon as the support receive a response from the allocated tutor, it will be made available to the learner in the portal. The support desk system is in place to assist the learners adequately and to streamline all the support process efficiently. Learners should expect to receive a response on queries like guidance and assistance within 1 - 2 working days. However, if the support request is for assessment feedback, learners will receive the reply with feedback as per the time frame outlined in the Assessment Feedback Policy.

In today’s digital age, ensuring your workstation is set up correctly is essential for maintaining both health and productivity. This course offers a structured approach to understanding the key aspects of computer workstation safety, providing guidance on how to optimise your working environment. Whether you spend long hours at a desk or simply use a computer for occasional tasks, this training will teach you the fundamentals of ergonomics, proper equipment placement, and posture management to avoid strain or injury. Our course is designed to equip individuals with the necessary knowledge to create a safe and comfortable workspace without the need for in-person instruction. It covers vital topics such as adjusting seating, screen positioning, and keyboard usage, all of which can help mitigate common issues like eye strain, back pain, and repetitive stress injuries. Delivered in an accessible online format, this training ensures you can improve your workstation safety at your own pace, promoting a healthier, more efficient working environment without the need for a classroom setting. Key Features CPD Accredited FREE PDF + Hardcopy certificate Fully online, interactive course Self-paced learning and laptop, tablet and smartphone-friendly 24/7 Learning Assistance Discounts on bulk purchases Course Curriculum of Computer Workstation Safety Training Module 01 :Introduction to Computer Workstation Safety Module 02 :Ergonomics in Computer Workstation Module 03 :Preventing Repetitive Strain Injuries (RSI) Module 04 :Preventing Eye Injuries Module 05 :Posture and Movement Module 06 :Stretching and Relaxation Techniques Module 07 :Digital Security Learning Outcomes: Master Ergonomic Principles Apply RSI Prevention Techniques Implement Eye Safety Measures Optimize Posture and Movement Execute Relaxation Techniques Strengthen Digital Security Awareness Accreditation This course is CPD Quality Standards (CPD QS) accredited, providing you with up-to-date skills and knowledge and helping you to become more competent and effective in your chosen field. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Office workers seeking to enhance workstation safety. IT professionals prioritizing digital security. Health and safety enthusiasts wanting specialised knowledge. Students aiming to bolster their employability. Managers striving for a safer work environment. Individuals concerned about long-term health impacts. Entrepreneurs focused on employee well-being. Anyone using a computer for extended periods. Career path Health and Safety Officer Ergonomics Consultant Occupational Health Specialist IT Security Analyst Office Manager Occupational Therapist Certificates Digital certificate Digital certificate - Included Once you've successfully completed your course, you will immediately be sent a FREE digital certificate. Hard copy certificate Hard copy certificate - Included Also, you can have your FREE printed certificate delivered by post (shipping cost £3.99 in the UK). For all international addresses outside of the United Kingdom, the delivery fee for a hardcopy certificate will be only £10. Our certifications have no expiry dates, although we do recommend that you renew them every 12 months.

This course covers the important topics needed to pass the AWS Certified Data Analytics-Specialty exam (AWS DAS-C01). You will learn about Kinesis, EMR, DynamoDB, and Redshift, and get ready for the exam by working through quizzes, exercises, and practice exams, along with exploring essential tips and techniques.

Advanced Junos SP Routing course description This is designed to provide students with detailed coverage of OSPF, IS-IS, BGP, and routing policy. Students will gain experience in configuring, monitoring, and troubleshooting the Junos operating system and in monitoring device and protocol operations. This course uses Juniper Networks vMX Series Routers for the hands-on component, but the lab environment does not preclude the course from being applicable to other Juniper hardware platforms running the Junos OS. What will you learn Describe and configure OSPF area types and operations. Configure and monitor IS-IS. Describe basic BGP operation. Explain the causes for route instability. Describe how to troubleshoot routing policy. Explain the default behaviour of damping on links. Advanced Junos SP Routing course details Who will benefit: Network staff working with Junos at layer 3. Prerequisites: Junos Intermediate Routing Duration 5 days Advanced Junos SP Routing course contents OSPF OSPFv2 Review Link-State Advertisements Protocol Operations OSPF Authentication Lab: OSPF Multi-Area Networks Chapter 3: OSPF Areas Review of OSPF Areas Stub Area Operation and Configuration NSSA Operation and Configuration Route Summarization Lab: OSPF Route Summarization OSPF Case Studies and Solutions Virtual Links OSPF Multiarea Adjacencies External Reachability Lab: Advanced OSPF Options and Routing Policy Troubleshooting OSPF Troubleshooting OSPF Lab: OSPF Troubleshooting IS-IS Overview of IS-IS IS-IS PDUs Neighbors and Adjacencies Configuring and Monitoring IS-IS Lab: IS-IS Configuration and Monitoring Advanced IS-IS Operations and Configuration Options IS-IS Operations IS-IS Configuration Options IS-IS Routing Policy Lab: Advanced IS-IS Configuration Options and Routing Policy Multilevel IS-IS Networks Level 1 and Level 2 Operations Multilevel Configuration Lab: Configuring a Multilevel IS-IS Network Troubleshooting IS-IS Troubleshooting IS-IS Lab: IS-IS Troubleshooting BGP Review of BGP BGP Operations BGP Path Selection Options Configuration Options Lab: BGP and BGP Attributes BGP Attributes and Policy - Part1 BGP Policy Next Hop Origin and MED AS Path Lab: BGP Attributes - Next Hop, Origin, MED, and AS Path Attributes and Policy - Part2 Local Preference Communities Lab: BGP Attributes - Local Preference and Communities Route Reflection and Confederations Route Reflection Operation Configuration and Routing Knowledge BGP Confederations Lab: Scaling BGP BGP Route Damping Route Flap and Damping Overview Route Damping Parameters Configuring and Monitoring Route Damping Lab: BGP Route Damping Troubleshooting BGP Troubleshooting BGP Lab: BGP Troubleshooting Troubleshooting Policy Troubleshooting Policy Lab: Policy Troubleshooting

MEF Carrier Ethernet training course description The course progresses from a overview of the Carrier Ethernet service and how it works onto looking at the concepts in depth. Service attributes and management follow with the course finishing with studies of practical Carrier Ethernet. What will you learn Discuss and understand key Carrier Ethernet Concepts. Understand tasks related to designing, deploying and maintaining a Carrier Ethernet network. Offer effective solutions to implementing a Carrier Ethernet enterprise network given available customer resources and requirements. Carry out informed discussions using industry Carrier Ethernet 'vocabulary. Pass the MEF CECP 2.0 professional accreditation exam. MEF Carrier Ethernet training course details Who will benefit: Anyone working with Carrier Ethernet Prerequisites: The course attendees need to be conversant with data networks, as well as Ethernet and IP technologies. Duration 5 days MEF Carrier Ethernet training course contents Section One: Introduction to Carrier Ethernet Introduction to Carrier Ethernet: What is Carrier Ethernet? Evolution, advantages, The MEF, MEF specifications; UNI, EVC, OVC, EPL/EVPL, EP-LAN/ EVP-LAN, EP-Tree/EVP-Tree, etc, overview. How Carrier Ethernet Works: Service Frame Handling. Carrier Ethernet at Customer Premises, metro and core. Carrier Ethernet Workings, UNI attributes, Service Attributes (EVC and EVC per UNI attributes), Bandwidth Profiles, service multiplexing, L2 protocol processing; Carrier Ethernet equipment, CPE, aggregation and homing nodes, core equipment; management systems. The Setting Up of a Carrier Ethernet Service: Step 1: Choose service type, EPL/EVPL, EP-LAN/EVP-LAN, EPTree/EVP-Tree, EVLine...; Step 2: CPE tasks, UNI-C tasks (UNI attributes, service attributes (EVC and EVC per UNI) and bandwidth profiles), UNI-N tasks (L2 protocol handling). Step 3: Non-CPE tasks, Access, metro and core connections set up. Section Two: Carrier Ethernet Concepts in depth Carrier Ethernet Definitions in Depth: UNI, UNI I & II, UNI-N and UNI-C, etc.; NNI/ENNI; EVC; OVC, OVC type (P2P, M2M, Rooted MP), OVC end point (root, leaf, trunk), OVC end point map, OVC end point bundling; Service types in detail, EPL/EVPL, EP-LAN/EVP-LAN, EP-Tree/EVP-Tree, EVLine, Access EPL, Access EVPL . Carrier Ethernet Service Frame Handling: Unicast, multicast and broadcast frame delivery, Tagged, untagged and priority; Tagging, C and S-Tags, 802.3, 802.1d, 802.1q, 802.1ad, 802.1ah evolution, VLAN ID translation/preservation. CoS preservation. Other Key Carrier Ethernet Concepts: MTU, MTU at UNI, MTU at ENNI; Physical Layer Attributes, FE, GbE and 10GbE, Service Multiplexing and Bundling Concept and detail, rules and implications; Hairpin Switching Managing Bandwidth in a Carrier Ethernet Network: Token Bucket Algorithm, EIR, CIR, CBS, EBS, Coupling Flag; Frame Colors, recoloring, Color Awareness attribute, Color Forwarding; Bandwidth Profiles, rules and concepts. MEF CoS identifiers, DEI bit (in S-Tag), PCP bit (in C-Tag or S-Tag), or DSCP (in IP header), Multiflow bandwidth concepts; CoS Label/Color Identification. Section Three: Carrier Ethernet Service Attributes Overview: Carrier Ethernet 2.0; Blueprint C Service Attributes: Per UNI, Physical interfaces, Frame format, Ingress/egress Bandwidth Profiles, CEVLAN ID/EVC Map, UNI protection. EVC per UNI, Ingress/egress Bandwidth Profiles, etc.; Per EVC, CEVLAN ID Preservation, CoS ID Preservation, Relationship between SLA and SLP, Class of Service, etc. OVC, ENNI, OVC End Point per UNI and OVC End Point per ENNI, Ingress/egress bandwidth profiles, etc. Section Four: Managing Carrier Ethernet Networks Overview: MEF Service Lifecycle.Carrier Ethernet maintenance: Port, Link & NE failure, Service Protection Technologies, Fault Identification and Recovery, LAG, Active/Standby EVC, Single EVC with transport protection, G.8031, G.8032, MPLS FRR. SOAMs: Connectivity fault management, connectivity Monitoring, Loopback, Linktrace; Performance Management, Frame Delay, Inter Frame Delay Variation, Availability, Frame Loss Ratio, Resiliency, HLI, DMM, DMR, SLM, SLR; Key Concepts, Single vs dual ended, ordered UNI pair calculations. LOAMs: Link discovery, link monitoring, etc. Terminology and Concepts: MEG levels, MIPs. Section Five: Practical Carrier Ethernet Carrier Ethernet Transport Technologies:Layer 1: SDH. Layer 2: Bridging, provider bridging, PBB, PBBTE. Layer 2.5: MPLS VPWS, MPLS VPLS, MPLS-TP. Carrier Ethernet Access Technologies: fiber, SDH, active fiber, PON, GPON, 10G PON, OTN, WDM; copper, PDH, G-SDSL, 10Pass-TS, HFC; packet radio. Optimising mobile backhaul with Carrier Ethernet Key challenges solutions: Market pressure, LTE evolution, elements and architecture (RAN BS, NC, GWIF.), synchronization, bandwidth management. Circuit Emulation over Ethernet: Purpose, needs and applications. Synchronization: Phased, ToD, External Reference source, SynchE ,NTP, IEEE-1588 v2/ PTP, ACR; MEF Service Definitions for emulated circuits. Applying what you know: Practical examples and scenarios, Carrier Ethernet solutions; Practice Scenarios, Given a scenario, determine appropriate Ethernet services

Advanced RF training course description This course provides a follow on to our popular RF fundamentals course for those that need to know more. What will you learn Explain RF propagation Describe the importance of transmission lines in RF systems. Recognise the issues in RF systems. Describe transmission measurements. Advanced RF training course details Who will benefit: Those working with RF systems. Prerequisites: RF fundamentals. Duration 3 days Advanced RF training course contents RF propagation The Electromagnetic Spectrum, Electromagnetic Radiation, Spherical Wave Front, The Space Wave, Receive Antenna below the Horizon, Bending the Space Wave , Surface Wave Path, Tilting of Surface Wave, Conductivity, Layers of the Atmosphere, Variations of the Ionosphere, Variations caused by Solar Activity, Multi Hop Transmission, Classification of Radio Waves, Fading, Fading Reduction, Free Space Path Loss, Shadowing of Radio Wave, Signal Levels after Shadowing, Radio Waves as Wavelets, Fresnel Zone. Transmission Lines Transmission Line Construction, Primary Line Constants, 'T' Networks, Input Impedence, Lossless Unbalanced Line, Standing Waves, Open Circuit / Short Circuit Termination, Short Circuit Standing Waves, Open Circuit Standing Waves, Voltage Standing Wave Pattern, Short Circuit Termination, Open Circuit Termination, The Directional Coupler, Effect of E and M Coupling, Practical Reflectometer. Antenna Theory The Open Circuit Line, Dipole V/I Distribution, Polar Diagram, Power Pattern ½ Wave Dipole, Half Wave Dipole, Vehicle Mount, Centre Fed Whip Antenna, Antenna Beamwidth, The Yagi Array, Uda Yagi array, Antenna Characteristics, 6 Element Yagi Polar Diagram, Log Periodic Antenna, Helical Antenna. Microwave Dish Array, Typical Microwave Dish Antenna. Transmission Measurements Transmission Measurements, Effective Isotropic Radiated Power, Fade Margin. Noise Noise in Communications, Noise Voltage Equivalent Circuit. Satellite Communications Satellite Communications, Large Earth Station, The Satellite Payload, Geo Stationary Orbit, Basic Orbits, VSAT Terminal, Iridium Phone, The Space Segment, Satellite Footprint, Typical System Hardware. Mobile Communications Mobile Evolution, The Path to UMTS, Technologies Bit Rate and Mobility, Systems and Specifications, Wireless Networks, Diffraction, Multi Path Propagation, Loss Models, GSM Architecture, OSI Model - GSM, OSI Reference Model, OSI Layers.

Securing UNIX systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure UNIX accounts. Secure UNIX file systems. Secure UNIX access through the network. Securing UNIX systems course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing UNIX systems course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

Satellite communications training course description This course starts by recaping some of the essential satellite knowledge required and proceeds to explore the deeper aspects of satellite communications, including hardware, communications and error control coding. What will you learn Explain how satellite communications work. Explain how RF works Explain the architecture of satellite systems. Use spectrum analysers. Satellite communications training course details Who will benefit: Anyone working with satellite systems. Prerequisites: None. Duration 3 days Satellite communications training course contents Basic Principles of Satellite Communications GEO, MEO and LEO satellites. Launching and orbits. Frequency bands and polarisation. Satellite footprints. Multibeam coverage. Power spectra. Link budgets. Modulation and coding. Access technologies. Earth station components. Space segment components. Satellite system services. Satellite operators. Radio frequency propagation Electromagnetic waves principles and generation. Reception of the EM wave. Space wave, sky wave and surface wave theory. The isotropic radiator. Types of antennae and their basic properties. Polar diagrams. International frequency allocation. Spectrum management and utilisation. Radio wave propagation. Line of sight propagation. Propagation for satellite comms. Free space path loss. Path attenuation. Noise and Interference. Power and its measurement. Satellite antennae and other hardware Power flux density. Effective aperture. Horn antennae. Parabolic reflector. Offset feed. Cassegrain and Gregorian antennae. Antenna feed systems - Horn, TMC, OMJ and polarizer. Antenna steering and mount systems. Array antennae. LNA, LNB, LNC. Microwave tubes - TWT and Klystron. Polarizers. Earth and Space Segments and the link Earth station antennae. Transponders. Antennae sub systems. Power supplies. Link budgets. System noise. System losses. Interference. Satellite switching. Ground Communications Equipment Baseband signals. Analogue and Digital systems. Overview of modulation - AM, FM, PM. Digital Modulation. Frequency conversion -up and down conversion. Filters, mixers, local oscillators, IF amplifiers and group delay equalisers. Access methods - single and multiple access systems. Data networks. Television transmission - analogue and digital. Digital signal compression. MPEG processing. Satellite Navigation Longitude, latitude, altitude, GPS, How GPS works, timing, alternatives to GPS. Mobile satellite services Voice and Phones, BGAN, TV, GPS to program aerial, VSAT. Error Control Coding The need for coding. Linear block codes. Cyclic codes. Convolution codes. Interleaving and concatenated codes. Coding gain. Turbo codes. Test and measurement Theory and practice of Spectrum Analysers.

Complete Visual BASIC training course description A hands-on introduction to programming in Visual BASIC V6. What will you learn Build Visual BASIC applications. Build simple components. Debug Visual BASIC programs. Examine existing code and determine its function. Complete Visual BASIC training course details Who will benefit: Anyone wishing to program in Visual BASIC. Prerequisites: None although experience in another high level language would be useful. Duration 5 days Complete Visual BASIC training course contents Application development using VB VB features. VB editions, VB terminology. Working in the Development Environment. Event-Driven Programming. Creating a program in VB. Project and executable files. VB reference materials. Visual Basic fundamentals Objects. Controlling objects. Introduction to forms. Introduction to controls. Basic controls. Working with code and forms Modules. Working with code. Interacting with the user. Working with code statements. Managing forms. Variables and procedures Introduction to variables and constants. Working with Procedures and Functions. Controlling program execution Common VB functions. Comparison and relational operators. Conditional structures. Looping structures. Debugging Error types. Debugging logic errors in VB. Working with controls Control types. Standard controls. Advanced standard controls. ActiveX controls. Insertable controls. Data access using the ADO data control Overview of ActiveX Data Objects. VB data access features. Relational database concepts. Using the ADO data Control to access data. SQL. Manipulating data. Using the data form wizard. Input validation Field-Level validation. The masked edit control. Form-Level validation. Form events used when validating data. Error trapping Trapping run time errors. Error handling overview. Enabling an error trap. Errors and the calling chain. In line error handling. Enhancing the User Interface Menus. Status bars. Toolbars. Drag and Drop Overview of Drag and Drop. Mouse events Drag and Drop basics. More about controls Using control arrays. Using the controls collection. Working with object variables. Collections. Finishing touches User Interface design principles. Distributing an application. Creating a default project.

Microsoft Lync training course description This course teaches IT staff how to plan, design, deploy, configure, and administer a Microsoft Lync Server solution. The course emphasizes Lync Server Enterprise Unified Communications features focussing particularly on coexisting with and migrating from legacy communication services. The labs in this course create a solution that includes IM and Presence, Conferencing, and Persistent Chat. This course helps prepare for Exam 70-336. What will you learn Describe the Lync Server architecture. Install and deploy Lync Server. Use Lync Server management interfaces. Deploy and manage clients. Manage and administer dial-in conferencing. Design audio and video for web conferencing. Plan for instant message and presence Federation. Deploy and configure persistent chat in Lync. Configure archiving and monitoring services. Troubleshoot Lync Server. Describe the required daily, weekly, and monthly maintenance tasks. Use SIP commands and analyze SIP logs. Configure high availability features in Lync. Design load balancing in Lync Server. Backup and restore Lync Server data. Microsoft Lync training course details Who will benefit: Technical staff working with Microsoft Lync. Prerequisites: Supporting Windows 2008 or 2012. Duration 5 days Microsoft Lync training course contents Microsoft Lync Server architecture Lync Server architecture, Lync core capabilities, Lync design process, assessing infrastructure requirements and updating the design, planning for all Microsoft solutions framework phases. Designing a Lync Server topology Infrastructure requirements for Lync Server, using the planning tool, using topology builder, server infrastructure, documentation. Hands on Environment preparation and Lync Server pools. Users and rights in Microsoft Lync Server Managing Lync Server, role based access control. Hands on Using the management shell, configuring role-based access control. Client/device deployment and management Deploy and manage clients, prepare for device deployment, IP phones. Hands on Clients. Conferencing in Lync Server Introduction to conferencing in Lync Server, designing for audio\video and web conferencing, dial-in conferencing in Lync Server, managing and administering conferencing. Hands on Conferencing in Microsoft Lync. Designing and deploying external access Conferencing and external capabilities of Lync Server, planning for IM and presence federation, designing edge services. Hands on Deploying Edge Server and Configuring Remote Access, Validating the Edge Server. Deploying Lync Server persistent chat Overview of persistent chat architecture in Lync Server, designing persistent chat, deploying and persistent chat. Hands on persistent chat server. Monitoring and archiving The archiving service, the monitoring service, configuring archiving and monitoring. Hands on Archiving and monitoring in Lync Server. Administration and maintenance of Lync Lync Server troubleshooting tools, Lync Server operational tasks, Lync Server troubleshooting techniques. Hands on Lync administration tools, centralized logging service, analysing Lync Server logs and traces. High Availability in Lync Server High availability in Lync Server, configuring high availability in Lync Server, planning for load balancing, designing load balancing. Hands on Configuring database mirroring, experiencing a scheduled SQL Server outage, experiencing an unscheduled SQL Server outage. Disaster recovery in Lync Server Disaster recovery in Lync Server, tools for backing up and restoring Lync Server, critical Lync Server data to back up and restore, critical data to export and import, designing branch site resiliency. Hands on Configure pool pairing, experiencing a pool failure or outage. Planning a migration to Lync Server Coexistence and migration, migration steps, planning for clients and devices. Designing a client migration and device migration strategy. Hands on Creating a migration plan, documenting the migration phases.