25645 TEC courses delivered Online

Lean Six Sigma Black Belt Certification Program: Virtual In-House Training This course is specifically for people wanting to become Lean Six Sigma Black Belts, who are already Lean Six Sigma practitioners. If advanced statistical analysis is needed to identify root causes and optimal process improvements, (Lean) Six Sigma Green Belts typically ask Black Belts or Master Black Belts to conduct these analyses. This course will change that. Green Belts wanting to advance their statistical abilities will have a considerable amount of hands-on practice in techniques such as Statistical Process Control, MSA, Hypothesis Testing, Correlation and Regression, Design of Experiments, and many others. Participants will also work throughout the course on a real-world improvement project from their own business environment. This provides participants with hands-on learning and provides the organization with an immediate ROI once the project is completed. IIL instructors will provide free project coaching throughout the course. What you Will Learn At the end of this program, you will be able to: Use Minitab for advanced data analysis Develop appropriate sampling strategies Analyze differences between samples using Hypothesis Tests Apply Statistical Process Control to differentiate common cause and special cause variation Explain and apply various process capability metrics Conduct Measurement System Analysis and Gage R&R studies for both discrete and continuous data Conduct and analyze simple and multiple regression analysis Plan, execute, and analyze designed experiments Drive sustainable change efforts through leadership, change management, and stakeholder management Successfully incorporate advanced analysis techniques while moving projects through the DMAIC steps Explain the main concepts of Design for Six Sigma including QFD Introduction: DMAIC Review IIL Black Belt Certification Requirements Review Project Selection Review Define Review Measure Review Analyze Review Improve Review Control Introduction: Minitab Tool Introduction to Minitab Minitab basic statistics and graphs Special features Overview of Minitab menus Introduction: Sampling The Central Limit Theorem Confidence Interval of the mean Sample size for continuous data (mean) Confidence Interval for proportions Sample size for discrete data (proportions) Sampling strategies (review) Appendix: CI and sample size for confidence levels other than 95% Hypothesis Testing: Introduction Why use advanced stat tools? What are hypothesis tests? The seven steps of hypothesis tests P value errors and hypothesis tests Hypothesis Testing: Tests for Averages 1 factor ANOVA and ANOM Main Effect Plots, Interaction Plots, and Multi-Vari Charts 2 factor ANOVA and ANOM Hypothesis Testing: Tests for Standard Deviations Testing for equal variance Testing for normality Choosing the right hypothesis test Hypothesis Testing: Chi Square and Other Hypothesis Test Chi-square test for 1 factor ANOM test for 1 factor Chi-square test for 2 factors Exercise hypothesis tests - shipping Non-parametric tests Analysis: Advanced Control Charts Review of Common Cause and Special Cause Variation Review of the Individuals Control Charts How to calculate Control Limits Four additional tests for Special Causes Control Limits after Process Change Discrete Data Control Charts Control Charts for Discrete Proportion Data Control Charts for Discrete Count Data Control Charts for High Volume Processes with Continuous Data Analysis: Non-Normal Data Test for normal distribution Box-Cox Transformation Box-Cox Transformation for Individuals Control Charts Analysis: Time Series Analysis Introduction to Time Series Analysis Decomposition Smoothing: Moving Average Smoothing: EWMA Analysis: Process Capability Process capability Discrete Data: Defect metrics Discrete Data: Yield metrics Process Capability for Continuous Data: Sigma Value Short- and long-term capabilities Cp, Cpk, Pp, Ppk capability indices Analysis: Measurement System Analysis What is Measurement System Analysis? What defines a good measurement system? Gage R&R Studies Attribute / Discrete Gage R&R Continuous Gage R&R Regression Analysis: Simple Correlation Correlation Coefficient Simple linear regression Checking the fit of the Regression Model Leverage and influence analysis Correlation and regression pitfalls Regression Analysis: Multiple Regression Analysis Introduction to Multiple Regression Multicollinearity Multiple Regression vs. Simple Linear Regression Regression Analysis: Multiple Regression Analysis with Discrete Xs Introduction Creating indicator variables Method 1: Going straight to the intercepts Method 2: Testing for differences in intercepts Logistic Regression: Logistic Regression Introduction to Logistic Regression Logistic Regression - Adding a Discrete X Design of Experiments: Introduction Design of Experiment OFAT experimentation Full factorial design Fractional factorial design DOE road map, hints, and suggestions Design of Experiments: Full Factorial Designs Creating 2k Full Factorial designs in Minitab Randomization Replicates and repetitions Analysis of results: Factorial plots Analysis of results: Factorial design Analysis of results: Fits and Residuals Analysis of results: Response Optimizer Analysis of results: Review Design of Experiments: Pragmatic Approaches Designs with no replication Fractional factorial designs Screening Design of Experiment Case Study Repair Time Blocking Closing: Organizational Change Management Organizational change management Assuring project sponsorship Emphasizing shared need for change Mobilizing stakeholder commitment Closing: Project Management for Lean Six Sigma Introduction to project management Project management for Lean Six Sigma The project baseline plan Work Breakdown Structure (WBS) Resource planning Project budget Project risk Project schedule Project executing Project monitoring and controlling and Closing Closing: Design for Lean Six Sigma Introduction to Design for Lean Six Sigma (DMADV) Introduction to Quality Function Deployment (QFD) Summary and Next Steps IIL's Lean Six Sigma Black Belt Certification Program also prepares you to pass the IASSC Certified Black Belt Exam (optional)

About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. 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

Application delivery training course description A concise hands on course covering section 1 of the F5 networks AD fundamentals exam. The course focuses on the technology and not any one manufacturers product. This will enable delegates to work with devices from any manufacturer. Practical hands on with Cisco and Microsoft systems follow the major sessions to reinforce the theory. What will you learn Explain, compare and contrast the OSI layers. Explain protocols and technologies specific to the data link layer. Explain protocols and apply technologies specific to the network layer. Explain the features and functionality of protocols and technologies specific to the Transport layer. Explain the features and functionality of protocols and technologies specific to the Application layer Application delivery training course details Who will benefit: Anyone taking the F5 networks AD fundamentals exam. Technical staff working in Application delivery. Prerequisites: None. Duration 3 days Application delivery training course contents What is TCP/IP? Protocols, services. The Internet, RFCs, The OSI 7 layer model. Layer 1 cables. Ping and addressing Host configuration of IP addresses, subnet masks, default gateways, ipconfig, ping. Hands on Configuring TCP/IP, ping. Ethernet and the data link layer 802.3, evolution, choosing cables, topologies, CSMA/CD, hubs, NICs, MAC addresses. Hands on Analysing MAC addresses. IP and Ethernet Relationship. Hands on ARP. What is a switch? Switches connect multiple devices, switches versus hubs, simultaneous conversations, switches work at layer 2, the forwarding database, how the forwarding database is built, broadcast and collision domains. Hands on Difference between hubs and switches. Link aggregation Loops, broadcast storms, STP, Architectures, modes, link aggregation, load sharing, resilience. Hands on fail over times. VLANs Virtual versus physical LANs, Why have VLANs? Broadcast domains. Hands on VLANs effect on traffic. IP IP datagram format, ICMP datagram format. Hands on Analysing IP and ICMP packets. IP addressing Format of addresses, registering, dotted decimal notation, choosing addresses, DHCP. Hands on impact of addressing errors. Routing What is a router? Reason for routing, network addressing, default gateways, how routing works, routing and addresses, routing tables, traceroute. Hands on Using a routed network. Routing protocols IGPs, EGPs, RIP & OSPF. Hands on Configuring routers for RIP and OSPF. Subnetting When to subnet, subnet masks, working with subnetting, CIDR notation. Hands on Changing the routed network to use subnetting. The transport layer UDP, Ports, TCP, acknowledgements, sliding windows. Hands on Analysing packets. Applications Clients, servers, web, Email SMTP, resource sharing, IM, VoIP, Video over IP, terminal emulation, FTP. Hands on FTP, SIP. Web pages URLs, DNS, names to IP addresses. HTTP, versions and status codes. Keepalives, cookies. Hands on Analysing HTTP headers.

This course will develop knowledge from the FD&FA foundation BS 5839-1 module and/or industry experience and apply this to the design of FD&FA systems.

Microsoft security training course description A hands on training course focusing on security in the Microsoft environment. The course progresses from patch management onto the use of Microsoft security tools. Then server, desktop and network security are studied in the Microsoft environment. What will you learn Use Microsoft security tools. Secure Microsoft servers. Secure Microsoft desktops. Secure Microsoft networks. Microsoft security training course details Who will benefit: Technical server support staff. Technical desktop support staff. Technical network staff. Technical security staff. Prerequisites: Supporting Windows server 2016 Networking Microsoft systems. Duration 3 days Microsoft security training course contents Introduction Security threats, Microsoft defaults, admin accounts, security patches, patch management, patch tools. Hands on: Studying Microsoft defaults, applying security patches. Microsoft security tools Microsoft updates, WSUS, Inventory tool, baseline security analyser, URLscan, EventCombMT, Cipher security tool, Port reporter, PortQry. Tools hackers use. Hands on: Using Microsoft security tools. Server security Checklists, core server security, AD, Member server security, Domain controller security, Specific roles. Hands on Hardening Microsoft servers, security templates. Active Directory Admin authority in AD, group policy, trust and authentication. Desktop security Checklists, core client security, anti virus software, anti spyware software, firewalls, securing clients with AD, securing clients with group policy, software restriction policies. Hands on Securing Microsoft desktops. Network security Checklist, IP security, VPNs, PKI, certificate authorities, RAS, RRAS, IAS. Hands on: VPN configuration, IAS configuration. Monitoring Auditing, authorisation and logons, tracking, system monitoring, detecting attacks. Hands on: Monitoring Microsoft systems. Summary Microsoft security response centre, security advisories.

About this Training Course  This five-day course provides an intermediate level of understanding of the geomechanical factors that affect wellbore instability, sand production and hydraulic fracture design. The course is structured such that upon completion, participants will have understood the value that geomechanics can bring to drilling, completion and production operations and will be able to leverage this value wherever it applies. The course emphasis will be on integrating the topics presented through a combination of lectures, case-studies and hands-on exercises. A special focus will be on how geomechanics knowledge is extracted from routinely acquired well data and how it is applied in the prediction and prevention of formation instability. Course Highlights The course is essentially non-mathematical and makes wide use of diagrams, pictures and exercises to illustrate the essential concepts of geomechanics Essential Rock Mechanics Principles Wellbore Stability Analysis Anisotropic Rock Properties for unconventional projects Lost Circulation and Wellbore Strengthening applications Sand Production Management Input to Hydraulic Fracture design Salt instability Training Objectives By attending this training, you will be able to acquire the following: Apply the basic concepts of geomechanics to identify, predict and mitigate against formation instability during drilling, completion and production Target Audience This course is intended for Drilling Engineers, Well Engineers, Production Technologists, Completion Engineers, Well Superintendents, Directional Drillers, Wellsite Supervisors and others, who wish to further their understanding of rock mechanics and its application to drilling and completion. There is no specific formal pre-requisite for this course. However, attendees are requested to have been exposed to drilling, completions and production operations in their positions and to have a recommended minimum of 3 years of field experience. Trainer Your Expert Course Instructor is an operational geomechanics advisor with over 46 years of experience in exploration, development and production in the upstream oil and gas industry. After obtaining a BSc (Hons) Physics degree from Aberdeen University, he worked for a variety of oil service companies in wireline operations, management and formation evaluation, before joining Schlumberger in 1995. Since 2000 he has worked principally in real-time geomechanics operations and developing acousto-geomechical applications, taking on the role of geomechanics advisor and technical manager within the Europe-Africa area of operations. Before forming his own company in 2014, Your Expert Course Instructor was one of Schlumberger's principal instructors, delivering cross-discipline internal and external geomechanics training to petrophysicists, geologists, reservoir, petroleum, well construction and drilling engineers at operating company locations, training centers and operational centers worldwide. Through extensive operational and wellsite experience gained in the North Sea, Europe, Africa, South America and the Far East, he has gained a broad based knowledge of drilling, production, log data acquisition, analysis and interpretation that has allowed him to develop and deliver pragmatic solutions to the geomechanical challenges of drilling, sand production, fracturing and unconventional reservoirs, faced by operators. His principal interests include the development and application of acousto-geomechanical techniques for the evaluation of anisotropic formations and fracture systems and the identification and prevention of wellbore instability 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Training Course Comprising 5 full-day sessions, this intermediate to advanced level course is specifically designed for senior exploration geoscientists currently active in hydrocarbon play and prospect mapping, to optimise conceptual geological input into their technical evaluation. The course focuses on seismic stratigraphic analysis in different basin settings - i.e., passive, convergent, extension and oblique - in order to construct a coherent geological story line, underpinning hydrocarbon play and prospect evaluation. The course is largely based on seismic stratigraphic case histories and exercises, with the support of seismic, well log and outcrop examples. Training Objectives Through short, focused presentations and a series of industry case history-based examples and exercises, participants will learn to optimise conceptual geoscience input into technical subsurface analysis. This will help to produce coherent geological subsurface interpretations for use in Play-based, Prospect and Appraisal evaluations. Target Audience This course is intended for senior geoscientists with more than five years of work experience, with a background in play and/or prospect evaluation and experience in seismic interpretation. Course Level Intermediate Advanced Training Methods Participants will be exposed to short lectures throughout the 5 days, followed by hands-on individual and team exercises in a variety of geological settings. 'Let the data tell their story' is a key recurring theme in this course. Trainer Your expert course leader has 38 years of experience as Exploration Geologist for Shell globally, with field experience in a/o Egypt, NW Borneo, MENA, China, Madagascar, North Sea, Oman and The Netherlands (Shell EP Research and Training Centre in Rijswijk). He has strong evaluation and project lead skills in Play-based Exploration, Prospect Maturation, Opportunity Screening and NFE / Appraisal disciplines. He developed key geoscience skills in Seismic and Sequence Stratigraphy as well as Reservoir Characterization, including sedimentology and diagenesis. He has extensive supervisory, teaching, and coaching experience as well as a strong interest in Geoscience (Depositional Systems, Regional and Reservoir Geology) and Petroleum Geology Learning. 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 forensics training course description This course studies network forensics-monitoring and analysis of network traffic for information gathering, intrusion detection and legal evidence. We focus on the technical aspects of network forensics rather than other skills such as incident response procedures etc.. Hands on sessions follow all the major sections. What will you learn Recognise network forensic data sources. Perform network forensics using: Wireshark NetFlow Log analysis Describe issues such as encryption. Network forensics training course details Who will benefit: Technical network and/or security staff. Prerequisites: TCP/IP foundation for engineers. Duration 3 days Network forensics training course contents What is network forensics? What it is, host vs network forensics, purposes, legal implications, network devices, network data sources, investigation tools. Hands on whois, DNS queries. Host side network forensics Services, connections tools. Hands on Windows services, Linux daemons, netstat, ifoconfig/ipconfig, ps and Process explorer, ntop, arp, resource monitor. Packet capture and analysis Network forensics with Wireshark, Taps, NetworkMiner. Hands on Performing Network Traffic Analysis using NetworkMiner and Wireshark. Attacks DOS attacks, SYN floods, vulnerability exploits, ARP and DNS poisoning, application attacks, DNS ANY requests, buffer overflow attacks, SQL injection attack, attack evasion with fragmentation. Hands on Detecting scans, using nmap, identifying attack tools. Calculating location Timezones, whois, traceroute, geolocation. Wifi positioning. Hands on Wireshark with GeoIP lookup. Data collection NetFlow, sflow, logging, splunk, splunk patterns, GRR. HTTP proxies. Hands on NetFlow configuration, NetFlow analysis. The role of IDS, firewalls and logs Host based vs network based, IDS detection styles, IDS architectures, alerting. Snort. syslog-ng. Microsoft log parser. Hands on syslog, Windows Event viewer. Correlation Time synchronisation, capture times, log aggregation and management, timelines. Hands on Wireshark conversations. Other considerations Tunnelling, encryption, cloud computing, TOR. Hands on TLS handshake in Wireshark.

CPRI training course description This course is designed to give the delegate a technical overview of the CPRI protocols and link setup. We will explain the industry cooperation to define the key internal interface between the radio equipment control (REC) and the radio equipment (RE). Also explained will be the SAP that the CPRI link supports for IQ Interface, frame synchronisation, link control and management and the master and slave ports. We will investigate the CPRI block diagram and together with the data formats and sample mapping solutions. The CPRI frame hierarchy and hyperframe construction will be detailed during this three day overview course. What will you learn Explain the CPRI Block diagram. Understand hyperframing capabilities. Explain the CPRI frame format. Understand how the synchronisation is compliant with 3GPP & WiMAX requirements. Understand the two electrical characteristics of CPRI standard. Understand the CPRI standards structure. Understand the CPRI system & Interface definitions. List the four standard bit rates of the CPRI specification. Understand the CPRI Protocol stacks. CPRI training course details Who will benefit: Anyone looking for a technical overview of the CPRI protocols and link set up. Prerequisites: None. Duration 3 days CPRI training course contents System Description Subsystems. Nodes. Protocol layers. Protocol data planes. User data planes. Antenna carriers. Service Access Points (SAP). Link. Passive Link. Hop. Multi-hop Connection. Logical Connection. Master Port & Slave Port. System Architecture Basic System Architecture & Common Public Radio Interface Definition. System Architecture with a link between Res. Reference configurations: Chain topology, Tree topology, Ring topology. RECs & REs in both chain & tree topology Functional description Radio Functionality. Functional Decomposition between REC and RE: For UTRA FDD, For WiMAX & E-UTRA, For GSM. CPRI Control Functionality. Interface Baseline Interface Specification. Protocol Overview. IQ Data. Synchronisation. L1 Inband Protocol. C & M Data. Protocol Extensions. Vendor Specific Information. Physical Layer Specifications Line Bit Rate. Physical Layer Modes. Electrical Interface. Optical Interface. Line Coding. Bit Error Correction/Detection. Frame Structure. Mapping Methods. Container Blocks. Hyperframes. GSM, UMTS & WiMAX Timing. Link Delay Accuracy & Cable Delay Calibration. Link Maintenance Data Link Layer (Layer 2) Specification Layer 2 Framing for Fast & Slow C & M Channels. Medium Access Control/Data Mapping. Flow Control. Start-up Sequence General. Layer 1 Start-up Timer. State Description. Transition Description. Interoperability Reserved Bandwidth. Version Numbers. Supplementary Specification Details Delay Calibration Example. Reference Test Points. List of Abbreviations & Gloss

XML primer training course description This course has been designed for web and intranet developers who want to accelerate their learning of XML and its applications without the grind of book learning. Although a basic knowledge of HTML and JavaScript is assumed, it is also assumed you know very little about XML and how to use it. On completion of this course you should understand the benefits of using XML and be able to design XML solutions where applicable to your company's Internet/intranet requirements. The course will be particularly beneficial if you want to know how to communicate data to diverse applications over the Internet or company intranet. What will you learn Write XML. Debug XML. Examine existing code and determine its function. XML primer training course details Who will benefit: Anyone working with XML. Prerequisites: HTML5 development fundamentals Duration 3 days XML primer training course contents The origins of XML Markup languages, SGML, document type definitions and validity, introducing XML, IE and XML, accessing content and adding style. Basic XML XML document structure, elements and attributes, grammar, well formed documents, other XML elements and references. Document Type Definition (DTDs) Creating a DTD, basic declaration, declaring elements, content definitions, entities, entity declarations, notations, defining attributes, attribute types, forcing inclusion or exclusion of DTD sections, validation. Namespaces Declaring namespaces, scoping, removing and changing namespaces, qualified names, attribute namespaces. An introduction to schemas Constructing schemas, defining the root element and its contents,<ELEMENTTYPE>, defining root element contents, adding attributes definitions, <ATTRIBUTETYPE>, <ELEMENT>, <ATTRIBUTE>. XML & the Document Object Model (DOM) What the DOM offers, DOM and W3C. Basic DOM concepts XML documents as trees, terminology of tree elements. Key DOM Objects: The document object and its creation, base objects, IE specifics, the XML node hierarchy. Programming DOM Viewing a DOM model as XML, getting the root element of a document, iterating nodes of a DOM, basic node properties, collection objects, searching for specific values, filtering a nodelist by tagname, more filtering methods, selecting nodes from their attributes. Amending Content and Structure Creating/saving a DOM as XML, changing content/structure, dynamically building a DOM. Using ASP and other techniques ASP techniques, HTTPREQUEST object, XSL, transforming and formatting XML. Formatting Using CSS. CSS And XML. XSL Transformations - XSLT Introduction, the XSL root element, applying XSL stylesheets to XML, XSL elements and operations, instructions - creating text nodes and applying templates, a 'drill-down' approach, simple output formatting, pattern filters - patterns based on position, the Match and Select attributes and their patterns, formatting output, creating new XML in output.