600 Courses in London

Securing Kubernetes training course description This course introduces concepts, procedures, and best practices to harden Kubernetes based systems and container-based applications against security threats. It deals with the main areas of cloud-native security: Kubernetes cluster setup, Kubernetes cluster hardening, hardening the underlying operating system and networks, minimizing microservices vulnerabilities, obtaining supply chain security as well as monitoring, logging, and runtime security. What will you learn Harden Kubernetes systems and clusters. Harden containers. Configure and use Kubernetes audit logs. Securing Kubernetes training course details Who will benefit: Technical staff working with Kubernetes Prerequisites: Kubernetes_for_engineers_course.htm Definitive Docker for engineers Duration 2 days Securing Kubernetes training course contents This course does not only deal with the daily security administration of Kubernetes-based systems but also prepares delegates for the official Certified Kubernetes Security Specialist (CKS) exams of the Cloud Native Computing Foundation (CNCF). Structure: 50% theory 50% hands on lab exercise Module 1: User and authorization management Users and service accounts in Kubernetes Authenticating users Managing authorizations with RBAC Module 2: Supply chain security Vulnerabilit checking for images Image validation in Kubernetes Reducing image footprint Secure image registries Module 3: Validating cluster setup and penetration testing Use CIS benchmark to review the security configuration of Kubernetes components. Modify the cluster components' configuration to match the CIS Benchmark. Penetration testing Kubernetes for known vulnerabilities. Module 4: System hardening Use kernel hardening tools Setup appropriate OS level security domains Container runtime sandboxes Limit network access Module 5: Monitoring and logging Configure Kubernetes audit logs Configure Audit Policies Monitor applications behaviour with Falco

The CAIA Association is a global professional body dedicated to creating greater alignment, transparency, and knowledge for all investors, with a specific emphasis on alternative investments. Course Overview The CAIA Association is a global professional body dedicated to creating greater alignment, transparency, and knowledge for all investors, with a specific emphasis on alternative investments. A Member-driven organization representing professionals in more than 100 countries, CAIA Association advocates for the highest ethical standards. Whether you need a deep, practical understanding of the world of alternative investments, a solid introduction, or data science skills for the future in finance, the CAIA Association offers a program for you. Why CAIA? Distinguish yourself with knowledge, expertise, and a clear career advantage – become a CAIA Charterholder. CAIA® is the globally recognized credential for professionals allocating, managing, analyzing, distributing, or regulating alternative investments. The Level II curriculum takes a top-down approach and provides Candidates with the skills and tools to conduct due diligence, monitor investments, and appropriately construct an investment portfolio. In addition, the Level II curriculum contains Emerging Topic readings; articles written by academics and practitioners designed to further inform and provoke the Candidate’s investment management process. After passing the Level II exam you are eligible, with relevant professional experience, to join the CAIA Association as a Member and receive the CAIA Charter. You will be part of an elite group of more than 13,000 professionals worldwide. Only after joining the Association, you are eligible to add the CAIA designation to your professional profiles. Who will benefit from enrolling in the CAIA program? Professionals who want to develop a deep level of knowledge and demonstrated expertise in alternative investments and their contribution to the diversified portfolio should pursue the CAIA Charter including: • Asset Allocators • Risk managers • Analysts • Portfolio managers • Traders • Consultants • Business development/marketing • Operations • Advisors Curriculum Topics: Topic 1: Emerging Topics • Decentralized Finance: On Blockchain- and Smart Contract-Based Financial Markets • Technical Guide for Limited Partners: Responsible Investing in Private Equity • Channels for Exposure to Bitcoin • Assessing Long-Term Investor Performance: Principles, Policies and Metrics • Demystifying Illiquid Assets: Expected Returns for Private Equity • An Introduction to Portfolio Rebalancing Strategies • Longevity and Liabilities: Bridging the Gap • A Short Introduction to the World of Cryptocurrencies Topic 2: Ethics, Regulation and ESG • Asset Manager Code • Recommendations and Guidance • Global Regulation • ESG and Alternative Investments • ESG Analysis and Application Topic 3: Models • Modeling Overview and Interest Rate Models • Credit Risk Models • Multi-Factor Equity Pricing Models • Asset Allocation Processes and the Mean-Variance Model • Other Asset Allocation Approaches Topic 4: Institutional Asset Owners and Investment Policies • Types of Asset Owners and the Investment Policy Statement • Foundations and the Endowment Model • Pension Fund Portfolio Management • Sovereign Wealth Funds • Family Offices and the family office Model Topic 5: Risk and Risk Management • Cases in Tail Risk • Benchmarking and Performance Attribution • Liquidity and Funding Risks • Hedging, Rebalancing, and Monitoring • Risk Measurement, Risk Management, and Risk Systems Topic 6: Methods for Alternative Investing • Valuation and Hedging Using Binomial Trees • Directional Strategies and Methods • Multivariate Empirical Methods and Performance Persistence • Relative Value Methods • Valuation Methods for Private Assets: The Case of Real Estate Topic 7: Accessing Alternative Investments • Hedge Fund Replication • Diversified Access to Hedge Funds • Access to Real Estate and Commodities • Access through Private Structures • The Risk and Performance of Private and Listed Assets Topic 8: Due Diligence and Selecting Managers • Active Management and New Investments • Selection of a Fund Manager • Investment Process Due Diligence • Operational Due Diligence • Due Diligence of Terms and Business Activities Topic 9: Volatility and Complex Strategies • Volatility as a Factor Exposure • Volatility, Correlation, and Dispersion Products and Strategies • Complexity and Structured Products • Insurance-Linked and Hybrid Securities • Complexity and the Case of Cross-Border Real Estate Investing DURATION 200 Hours WHATS INCLUDED Course Material Case Study Experienced Lecturer Refreshments Certificate

About this Training Course This 5 full-day training course looks at the setup of economic analysis cases, including the estimation of recoverable reserves, production profiles, commodity prices, and project costs - CAPEX, OPEX, taxes, royalties, transportation, depreciation, before-tax (BTAX) cash-flow, after-tax (ATAX) cash-flow and international fiscal regimes (production sharing agreement and concessionary system). The course begins from the basic required parameters of inflation, interest and time value of money. These concepts are then transformed into profitability indicators. Last but not the least, the profitability indicators are then used to make investment decisions. The emphasis of this course is to bridge the gap between theoretical concepts and their practical limitations. The participants will be able to appreciate the amount of information that they never thought of. Another emphasis of this course is also on the use of Excel's financial functions. This understanding is very critical when it comes to building economic cash-flow models. Over the years, we have seen that participants really struggle with using the Excel functions correctly and this leads to mistakes that can be easily avoided. In each session, multiple choice problems are provided to participants to reinforce their understanding of the concepts covered in the course. Many quick or tips not widely known, are also shared with the participants. The concepts covered in this course are not restricted to downstream, upstream or petrochemical projects. These concepts can be used to evaluate any type of investment under consideration. Participants will require access to computers/laptops with Excel to solve problems during the course. Training Objectives Upon completion of this course, participants will be able to fully understand the gas market dynamics and Investment Evaluation. They will be able to: Learn how to reduce exposure and mitigate risks in projects by handling uncertainty Clarify concepts such as time value of money, cash-flow models, capital budgeting, IRR, NPV, income producing investments Maximise the return on investments through good decision-making processes based on the commercial viability of projects Improve their decision process, investment and opportunity analysis Acquire the hands-on experience in building their own economic evaluation models and solving case study-based examples   Target Audience The following oil & gas company personnel will benefit from the knowledge shared in this course: Facilities and Planning engineers Project and procurement personnel Oil & gas engineers Geologists Financial Analysts Commercial managers Economists Government officials Business advisors Asset managers E&P managers Product and business development personnel   Course Level Basic or Foundation Training Methods     Organisational Impact     Trainer Your expert course leader is a globally recognised subject matter expert in petroleum/project economics and international gas market analysis. He is a recipient of the 2021 Society of Petroleum Engineers (SPE) International Management Award, an award that recognises individuals who make significant technical and professional contributions to the petroleum engineering profession and to the worldwide oil and gas industry. He has 40 years of diversified experience in petroleum engineering, reservoir engineering, project economics and decision analysis. He had been involved in evaluating multi-billion-dollar oil and gas field development, NGL, LNG, GTL, Aluminum smelter, refinery, petrochemical, power and production sharing projects. He has worked with major oil companies such as Saudi Aramco, ZADCO, Qatar Petroleum and companies in USA. He is a registered professional Engineer in the state of Colorado, USA. He is the author of six books: Petroleum Engineering Handbook for the Practicing Engineer, Vol. I and Vol. II, published by PennWell Books, Tulsa, Oklahoma, USA. Project Economics and Decision Analysis, Vol. I and Vol. II, published by PennWell Books, Tulsa, Oklahoma, USA. These books are used as textbooks in universities worldwide to teach petroleum economics to undergraduates and graduate students. Tip & Tricks in Excel based Financial Modeling, Vol. 1 & 2, published by Business Expert Press, New York, USA. He has also authored several papers in the Oil & Gas Journal, The Log Analyst, World Oil, SPE Journals, and Oil & Gas Financial Journal. He has delivered lectures in more than 25 countries around the globe. He has always received excellent feedback, as an expert presenter, from the participants of his courses. Daily daily_agenda     POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Network virtualization training course description This course covers network virtualization. It has been designed to enable network engineers to recognise and handle the requirements of networking Virtual Machines. Both internal and external network virtualization is covered along with the technologies used to map overlay networks on to the physical infrastructure. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer implementations. What will you learn Evaluate network virtualization implementations and technologies. Connect Virtual Machines with virtual switches. Explain how overlay networks operate. Describe the technologies in overlay networks. Network virtualization training course details Who will benefit: Engineers networking virtual machines. Prerequisites: Introduction to virtualization. Duration 2 days Network virtualization training course contents Virtualization review Hypervisors, VMs, containers, migration issues, Data Centre network design. TOR and spine switches. VM IP addressing and MAC addresses. Hands on VM network configuration Network virtualization What is network virtualization, internal virtual networks, external virtual networks. Wireless network virtualization: spectrum, infrastructure, air interface. Implementations: Open vSwitch, NSX, Cisco, others. Hands on VM communication over the network. Single host network virtualization NICs, vNICs, resource allocation, vSwitches, tables, packet walks. vRouters. Hands on vSwitch configuration, MAC and ARP tables. Container networks Single host, network modes: Bridge, host, container, none. Hands on Docker networking. Multi host network virtualization Access control, path isolation, controllers, overlay networks. L2 extensions. NSX manager. OpenStack neutron. Packet walks. Distributed logical firewalls. Load balancing. Hands on Creating, configuring and using a distributed vSwitch. Mapping virtual to physical networks VXLAN, VTEP, VXLAN encapsulation, controllers, multicasts and VXLAN. VRF lite, GRE, MPLS VPN, 802.1x. Hands on VXLAN configuration. Orchestration vCenter, vagrant, OpenStack, Kubernetes, scheduling, service discovery, load balancing, plugins, CNI, Kubernetes architecture. Hands on Kubernetes networking. Summary Performance, NFV, automation. Monitoring in virtual networks.

5G training course description This course is designed to give the delegate an understanding of the technologies and interworking requirements of the next generation of cellular communications. It is not a definitive set of descriptions but a possibility of the final deployment. During the course we will investigate the 10 pillars for 5G, which will include various Radio Access Technologies that are required to interwork smoothly. Hence we will look at the 4G Pro features and other RATs. What will you learn List the ten pillars of 5G deployment. Explain the 5G Internet and Software Distributed Networks (SDN). Explain carrier aggregation, the mobile cloud and RAT virtualisation. Explain an overall picture of 5G architecture. 5G training course details Who will benefit: Anyone who is looking to work with next generation networks. Prerequisites: Mobile communications demystified Duration 3 days 5G training course contents Drivers for 5G 5G Road Map, 10 Pillars of 5G, evolving RATs, small cell, o SON, MTCm, mm-wave, backhaul, EE, new spectrum, spectrum sharing, RAN virtualisation. 4G LTE advanced features *MIMO, Downlink & uplink MIMO R8, MIMO technology in LTE advanced, Downlink 8-layer SU-MIMO, Downlink MU-MIMO, Uplink MU-MIMO, Uplink transmit diversity, Coordinated multi-point operation (CoMP), Independent eNB & remote base station configurations, Downlink CoMP, * Uplink Multi-Cell Reception. ICIC & eICIC ICIC, Homogeneous to heterogeneous network, eICIC, Macro-pico scenario, Macro-femto scenario, Time orthogonal frequencies. Almost Blank Subframe (ABS). Carrier aggregation Component carriers (CC), * CC aggregation, Intra-band contiguous solutions, Intra-band non-contiguous solutions, Inter-band non-contiguous solutions, CA bandwidth classes, Aggregated transmission bandwidth configurations (ATBC), Possible carrier aggregation configurations (Rel 9, 10 & 12). Enhanced Interference Mitigation & Traffic Adaptation (eIMTA) TDD UL-DL reconfiguration for traffic adaptation, Reconfiguration mechanisms, Interference mitigation schemes, Dynamic & flexible resource allocation. 5G architectures 5G in Europe, horizon 2020 framework, 5G infrastructure PPP, METIS project, innovation centre, 5G in North America, research, company R & D, 5G specifications. The 5G internet Cloud services, IoT & context awareness, network reconfiguration & virtualization support, hypervisors, SDN, the controller, service-oriented API, OpenFlow switches, SDN operation, SDN control for traffic flow redirection, OpenFlow controllers, how SDN works, application, control and infrastructure layers, a programmable network, how SDN & NFV tie together, SDN's downside, SDN orchestration, Mobility, architectures for distributed mobility management, MEDIEVAL & MEDIVO projects, a clean slate approach, mobility first architecture, network virtualization (VNet), INM, NetInf, ForMux, MEEM, GP & AM, QoS support, network resource provisioning, IntServ, RSVP, DiffServ, CoS, aggregated resource provisioning, SICAP, MARA, Emerging approach for resource over-provisioning, example use case architecture for the 5G internet, integrating SDN/NFV for efficient resource control, control information repository, service admission control policies, network resource provisioning, control enforcement functions, network configurations, network operations. Small cells for 5G Average spectral efficiency evolution, What are small cells? WiFi & Femto cells as candidate small-cell technologies, Capacity limits & achievable gains with densifications, gains with multi-antenna techniques, gains with small cells, Mobile data demand, approach & methodology, subscriber density projections, traffic demand projections, global mobile data traffic increase modelling, country level backhaul traffic projections, 2020 average spectrum requirement, Small cell challenges, backhaul, spectrum, automation. Cooperation for next generation wireless networks Cooperative diversity & relaying strategies, Cooperative ARQ & MAC protocols, NCCARQ & PRCSMA packet exchange, Physical layer impact on MAC protocol, NCCARQ overview, PHY layer impact, Performance evaluation, simulation scenario and results. Mobile clouds; technology & services for future communications platforms Mobile cloud, software, hardware and networking resources, Mobile cloud enablers, mobile user domain, wireless technologies, WWAN WLAN and WPAN range, Bluetooth, IEEE.802.15.4, software stacks, infrared, near field communications (NFC), store & forward vs compute & forward, random/linear network coding. Security for 5G communications Potential 5G architectures, Security issues & challenges in 5G, user equipment, mobile malware attacks, 5G mobile botnets, attacks on 4G networks, C-RNTI & packet sequence numbers based UE location tracking, false buffer status reports attacks, message insertion attacks, HeNB attacks, physical attacks, attacks on mobile operator's network, user data & identity attacks, DDoS attacks, amplification, HSS saturation, external IP networks.

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations

Complete JavaScript training course description A hands on course covering JavaScript programming. Core JavaScript is covered first, including the basics, arrays, functions, classes, modules and Regular expressions. Client side JavaScript is then covered including JavaScript in browsers, Scripting CSS, the jQuery library and HTML APIs. What will you learn Read JavaScript. Write JavaScript. Debug JavaScript. Complete JavaScript training course details Who will benefit: Anyone wishing to learn JavaScript. Prerequisites: None. Duration 3 days Complete JavaScript training course contents CORE JAVASCRIPT Lexical structure: Character set, comments, literals, identifiers, and reserved words, optional semicolons.. Types, values and variables: Numbers, text, boolean values, null and undefines, the global object, wrapper objects, immutable primitive values and mutable object references, type conversions, variable declaration, variable scope. Expressions and operators: Primary expressions, object and array initializers, function definition expressions, property access expressions, invocation expressions, object creation expressions, operator overview, arithmetic expressions, relational expressions, logical expressions, assignment expressions, evaluation expressions, miscellaneous operators. Statements: Expression statements, compound and empty statements, declaration statements, conditionals, loops, jumps, miscellaneous statements, summary of JavaScript statements. Objects: Creating objects, querying and setting properties, deleting properties, testing properties, enumerating properties, property getters and setters, property attributes, object attributes, serializing objects, object methods. Arrays: Creating arrays, reading and writing array elements, sparse arrays, array length, adding and deleting array elements, iterating arrays, multi-dimensional arrays, array methods, FCMAScript 5 array methods, array type, array-like objects, strings as arrays. Functions: Defining functions, invoking functions, function arguments and parameters, functions as values, functions as namespaces, closures, function properties, methods and constructor, functional programming. Classes and modules: Classes and prototypes, classes and constructors, Java-style classes in JavaScript, augmenting classes, classes and types, object oriented techniques in JavaScript, subclasses, classes in ECMAScript 5, modules. Pattern matching and regular expressions: Defining regular expressions, string methods for pattern matching, the RegExp object. JavaScript subsets and extensions: JavaScript subsets, constants and scoped variables, destructuring assignment, iteration, shorthand functions, multiple catch clauses, E4X: ECMAScript for XML. Server-side JavaScript: Scripting Java with Rhino, asynchronous I/O with node. CLIENT SIDE JAVASCRIPT JavaScript in web browsers: Client side JavaScript, embedding JavaScript in HTML, execution of JavaScript programs, compatibility and interoperability, accessibility, security, client side frameworks. The Window object: Timers, browser location and navigation, browsing history, browser screen information, dialog boxes, error handling, document elements as window properties, multiple windows and frames. Scripting Documents: Overview of the DOM, selecting document elements, document structure and traversal, attributes, element content, creating, inserting and deleting nodes. Example: generating a table of contents, document and element geometry and scrolling, HTML forms, other document features. Scripting CSS: Overview of CSS, important CSS properties, scripting inline styles, querying computed styles, scripting CSS classes, scripting stylesheets. Handling events: Types of events, registering event handlers, event handler invocation, document load events, mouse events, mousewheel events, drag and drop events, text events, keyboard events. Scripted HTTP: Using XMLHttpRequest, HTTP by <script>: JSOMP, Comet with server-sent events. The jQuery library: jQuery basics, jQuery getters and setters, altering document structure, handling events with jQuery, Animated effects, Ajax with jQuery, Utility functions, jQuery selectors and selection methods, Extending jQuery with plug-ins. The jQuery UI library. Client side storage: localStorage and sessionStorage, Cookies, IE usingData persistence, Applicatioin storage and offline webapps. Scripted media and graphics: Scripting images, Scripting audio and video, SCG:scalable vector graphics, Graphics in a <canvas>. Scripted HTTP: Using XMLHttpRequest, HTTP by <script>: JSOMP, Comet with server-sent events. The jQuery library: jQuery basics, jQuery getters and setters, altering document structure, handling events with jQuery, Animated effects, Ajax with jQuery, Utility functions, jQuery selectors and selection methods, Extending jQuery with plug-ins. The jQuery UI library. Client side storage: localStorage and sessionStorage, Cookies, IE usingData persistence, Applicatioin storage and offline webapps. Scripted media and graphics: Scripting images, Scripting audio and video, SCG:scalable vector graphics, Graphics in a <canvas>. HTMLS APIs: Geolocation, history management, cross-origin messaging, web workers, type arrays and ArrayBuffers, blobs, the filesystem API, client side databases, web sockets.

If you have at least 5 years working experience and you would like to attain Gold Card status via the Experienced Worker route by joining the City & Guilds 2346 NVQ Level 3, you will also need to hold the below two pre-requisite qualifications: City & Guilds 2391-52 Inspection and Testing Course C&G 2382-22 BS7671 18th Edition

Signalling training course description An intensive course that defines and explores the signalling methods that are to be found in today's telecommunications services. What will you learn Describe the Functionality and Features of Signalling. Describe the Functionality of Analogue & Digital Subscriber Signalling. Describe the various types of signalling used on different network types. Describe the Functionality of Private Network Signalling. Describe the Functionality of Public Network Signalling. Signalling training course details Who will benefit: Personnel involved with systems design, implementation and support. Prerequisites: Telecommunications Introduction Duration 2 days Signalling training course contents Introduction What is Signalling?, Standards, ITU-T Recommendations, Signalling Categories - Supervisory Addressing, E.164, Call Information, Network Management, Network Components, Inband/Outband Switch Signalling, Analogue Vs Digital Signalling. Analogue Subscriber Signalling Analogue Local Loops/Switches/Trunks, Digital Switches/Local Loops, Telephone Handset, Accessing the Local Exchange, Pulse/Tone Dialling. Digital Subscriber Signalling Integrated Digital Access, DASS2 & DPNSS, DASS2 - Call, IMUX, Euro ISDN, Q.931 Call Control, Message Identification, Message Types, Call Establishment Messages, Call Clearing. Network Types Service Types, Circuit Switched, Packet Switched, Signalling Terminology, In-Channel Signalling, G.704, Performance and Quality, Digital Signalling, CAS, CAS Applications, Foreign Exchange, CCS, Break-In/Out Private Network Signalling Types Networking PABXs, Inter PABX Analogue Signalling Methods, E & M, Tone-On-Idle, Inter PABX Digital Signalling Methods, DPNSS, DPNSS Deployment, PABX Support for DPNSS, DPNSS Call, Q.Sig, Q.Sig support/functionality/protocol, Message Overview, Call Establishment. Public Network Signalling SS7, SS7 Operations, SS7 Topology, SSP, STP, SCP, Database Types - CMSDB NP LIDB HLR VLR, Signalling Modes, Link Types, Further Redundancy, Linksets, SS7 addressing, Point Codes, Sub-System, Global Title Addressing and Translation, ANSI PCs, ITU-T PCs, SS7 Protocol Stack, MTP Level 1, MTP Level 2, Flow Control, FISU, LSSU, MSU, MSU SIF, MTP Level 3, SCCP, TCAP, TUP, Facility Format, Main Facilities, Flow Control Negotiation, Closed User Groups, Reverse Charging, Fast Select Facility, Throughput Class Negotiation, Call Barring, On-Line Facility Registration. BTUP, ISDN ISUP, Supplementary Services, ISUP Call - IAM, Progress/Answer/Suspend/ Resume/Release Messages, Intelligent Network (IN) Introduction, IN Evolution, IN Conceptual Model, IN Target Services & Service Features, Service Independent Building Blocks

Mobile comms training course description A complete overview of mobile communications covering all the major technologies in a 2-day format. What will you learn GSM GPRS UMTS LTE Alternative mobile strategies Mobile comms training course details Who will benefit: Anyone involved in mobile communications. Prerequisites: None. Duration 2 days Mobile comms training course contents Introduction Telephony, RF, mobile and wireless technologies, distances, mobile phone generations, base stations, cells, frequencies, cell types, MSC, handoffs, channels, internetworking, the Internet, wireless Internet access. UK operators, worldwide operators. GSM What is it? Timeline, digitising voice, channels, GSM architecture, Abis, A, Um, MS, BTS, BSC, MSC, HLR, VLR, EIR, AuC. Radio link aspects, GSM signalling overview, signalling protocols, roaming, GSM call flows, authentication. IMEI. SIM cards. GPRS What it is, 2G to 3G, GPRS user features, GPRS network features, GPRS elements, GPRS architecture, overlay, SGSN, GGSN, GPRS ATTACH, GPRS protocol stack, GPRS timeslots, EDGE, GPRS classes, GPRS routing, GPRS packet format. UMTS and 3G What is 3G? IMT-2000, 3G proposals, what is UMTS? Speed comparison, evolution to 3G, CDMA, CDMA 2000, W-CDMA, UMTS components, UMTS infrastructure, RNC, Node B, network architecture, packet switched attach, mobility in 3G, HSDPA. LTE and 4G LTE architecture and principles, Physical layer, Air interface, E-UTRAN, Evolved packet core, service provision. Other wireless solutions Integration of services, Bluetooth, Blackberry, VoIP, Mobile IP, 802.11, WiFi, 802.16, WiMax, What is 5G?