19245 Courses delivered Online

Network management technologies course description A comprehensive tour of the available network management technologies available for todays networks. The course starts with basic tools such as syslog along with Python network automation. SNMP is then covered with the *flow technologies and streaming telemetry. Configuration management with ansible, Python, NETCONF and RESTCONF is then studied. The final part of the course looks at SDN. Hands on sessions are used throughout to reinforce the theory rather than teach specific manufacturer equipment. Note that sections are available as individual courses. What will you learn Evaluate network management technologies. Evaluate network management technologies. Recognise the weaknesses of SNMP versus NETCONF and streaming telemetry. Explain the role of NETCONF and RESTCONF. Compare & contrast *flow and streaming telemetry. Explain the role of SDN in network management. Automate network configuration with ansible and Python. Network management technologies course details Who will benefit: Those wishing to manage networks. (Previous Python experience is NOT needed) Prerequisites: Intro to data comms Duration 5 days Network management technologies course content Basic network management Network management What is network management? Benefits, issues. FCAPS model. Fault management, Configuration management, accounting, performance, security. What to manage, what not to manage. Managing network devices, managing servers. Monitoring networks Traditional network tools Ping..., SSH, syslog, TFTP for configurations. nmap. Wireshark. CLI. Web based management. Splunk. Nessus, snort, Kali. Hands on syslog, network inventories. Network automation using the CLI Programming and automating networks, netOps. Python, Git. Python network modules, SSH, paramiko, netmiko. EVE-NG. Hands onPython network modules. Structured versus unstructured data Problems with automation and unstructured data. XML, JSON, YAML. The role of YANG. Hands on Parsing data. SNMP SNMP architecture, SNMP MIBs, SMI, the SNMP protocol, polling security. Configuring SNMP. SNMPv1, v2, v3, SNMP security. Which version should you use? MIBs and MIB structure. mib-2, extra parts of mib-2, Private enterprise MIBs. Summary: What SNMP is good/bad at. Hands on Configuring agents and a NMS. MIB browsing. Server management Microsoft, Linux, application polling. WMI vs SNMP. Hands on: Application polling. Performance management *flow Polling, push vs pull, netflow, sflow, IPFIX, *flow. Flows. Where to monitor traffic. Comparing *flow with SNMP. Architecture: Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Netflow configuration. Collectors. Streaming telemetry Model driven telemetry, periodic/on change. Structured data. Telemetry protocol stack. gRPC and gNMI. Protobuf. gNMI operations. Telemetry architecture. Telegraf, databases, Grafana. Hands on Telemetry example. Configuration management Configuration management tools Chef, puppet, ansible, saltstack. Ansible architecture, controlling machines, nodes, agentless, SSH, modules. Inventories, playbooks, modules, network modules, jinja2 templates. Hands on Network configuration with ansible. NETCONF What is NETCONF? Protocol stack, Data stores, traffic flows, validating configurations, rollback. YANG data models and how YANG is used by NETCONF. XML. Explorers and other tools. Hands on anx, Python and NETCONF. RESTCONF The REST API, HTTP, What is RESTCONF? Tools including Postman. Comparison with NETCONF. Hands on Configuration with RESTCONF. Python network automation: configuration SSH issues. Using structured data. Jinja2. ncclient, requests, NAPALM, Nornir. Automated testing. Hands on Python network device configuration with nornir. Software Defined Networks and orchestration Classic SDN What is SDN? benefits. SDN architecture. SDN applications, SDN switches, SDN controllers, Network Operating Systems. Control plane, data plane. Northbound interfaces. SDN components. Southbound interfaces. OpenFlow. ONF, OpenFlow ports, Flow tables. Network virtualization Virtual networks, virtual switches, NfV. Service chaining. NfV and SDN. SDN implementations Classic SDN, Hybrid SDN, SDN via APIs, SDN via overlays. Data centre SDN, VXLAN, Service Provider SDN, SD WAN, Enterprise SDN, WiFi. SDN and open source OpenDaylight, OpenVSwitch, Open Networking Forum, Open Network Operating System. Hands onOpenStack. SD-WAN What is SD-WAN? Architecture: Edge, gateway, orchestrator, controller. Overlay and underlay. Use of MPLS, 4G/5G. Benefits and features. Secure Access Service Edge (SASE).

The Master of Business Administration (MBA) is a prestigious postgraduate qualification that is highly valued by leading employers. It can boost your salary, increase your professional reputation and expand your networking opportunities. If you're a graduate with some business experience and ambitions for a high-flying career, studying for an MBA could be just what you need to make the next step. Our MBA 18 months programme equips you to think logically, laterally and independently through 2 stage intensive, immersive, and challenging programme. With the advantage of studying on the job, anytime and anywhere, you get Cost Advantage and same degree which is given to full time students at the University Campus. The programme is not just an academic course. By exploring and examining real-life business problems to work on and solve, you enhance your own understanding of how a business works. We take a strategic perspective on business and management that helps you develop the skills to contribute to the major business decisions organisations have to make about their future. Program Overview: Master of Business Administration (MBA) - 18 Months Key Highlights of Master of Business Administration (MBA) - 18 Months qualification are: Fully Recognized and Globally Accepted Degree Program Duration: 18 Months (12 months / 24 months duration programme also available) Program Credits: 180 Designed for working Professionals Format: Online Student to faculty ratio of just 15:1 No Written Exam. The Assessment is done via Submission of Assignment and University Dissertation Project Same Degree which is given to Full Time students at the University Campus. Study material: Comprehensive study material and e-library support available at no additional cost. Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Doctorate / PhD programme. LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn MBA 18 months is widely seen as a passport to a successful career. It demonstrates the breadth and depth of your functional competence, strategic knowledge and problem-solving ability. Course Structure: MBA 18 MonthsThe MBA 18 months programme consists of 2 Stages. Stage 1: This stage is delivered by London School of Business and Research. The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS). Mandatory units Strategic Management (20 Credits)Strategic Leadership (20 Credits)Strategic Human Resource Management (20 Credits)Advanced Business Research Methods (20 Credits) Optional units(Choose any 2units to make 120 credits) Strategic Financial Management (20 Credits)Supply Chain and Operations Management (20 Credits)Entrepreneurship and Innovation (20 Credits)Globalisation and Corporate Governance (20 Credits)Strategic Change Management (20 Credits)Strategic Marketing (20 Credits) Successful completion of Stage 1 leads to Progression to Stage 2Stage 2: Delivered by the University / awarding body. On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 2 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS). Completion of Stage 2 leads to award of MBA Degree Dissertation Project Successful completion of Stage 2 leads to award of Degree by the university. Who is this course for? MBA in 18 Months programme is ideal for working professionals, successful managers, executives and professionals who want to take their career to a new level and Ambitious people who want to fast track their chosen career or start a new enterprise

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

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

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 This course aims to help geologists, geophysicists, stratigraphers and reservoir engineers gain a thorough understanding of the concepts and practical applications of sequence stratigraphy through integration of seismic sequence stratigraphy with well log sequence stratigraphy and the application of biostratigraphy to sequence stratigraphy. The course examines the geological principles, processes and terminology related to the interpretation and use of seismic sequence stratigraphy and its integration with well log sequence stratigraphy and biostratigraphy. Concepts are illustrated with field examples of seismic, well-log, core, and outcrop data and reinforced with practical exercises using real data. Course Content in Summary: Introduction to concepts, eustatic controls, seismic stratigraphy and definition of key terms. Controls - eustatic and basinal controls, accommodation and equilibrium types, systems tracts and systems tract boundaries. Sequences and systems tracts - highstand, falling stage, lowstand, transgressive and shelf margin systems tracts. Key surfaces and their identification from well logs, core, outcrop and seismic reflections. Sequence expression in well logs - log characters of parasequences, maximum flooding surfaces and criteria for picking sequence boundaries. Interpretation of systems tracts from well logs - integration of well log sequence stratigraphy with seismic sequence stratigraphy. Seismic expression of sequences - Interpretation of seismic reflections in depositional sequences - seismic sequence; seismic facies. Clastic and carbonate depositional environments - depositional responses to changes in relative sea level. Mixed systems and evaporites. Variations on the model. A review of application and exploration significance. Training Objectives By the end of this course, participants will be able to: Gain an understanding of sequence stratigraphic controls and concepts. Recognise sequence stratigraphic surfaces, systems tracts and stratigraphic sequences on well-log cross-sections, seismic lines, and outcrop profiles and depositional facies. Construct a sequence stratigraphic model by integrating lithological, biostratigraphical, seismic and well data. Apply sequence stratigraphy effectively for facies predictions in exploration and production. Target Audience This course will benefit explorationists, geologists, stratigraphers and geophysicists who wish to extend their knowledge through integration of seismic sequence stratigraphy with well log sequence stratigraphy. Trainer Your expert course leader is the Geosciences Technical Director for PetroEdge. She was previously, the manager of Robertson Petroleum Training Centre and a Senior Project Scientist at Robertson CGG. She has over 20 years of experience in teaching geology and leading field trips. Prior to her 8 years at Robertson, she was in academia as a lecturer for 6 years and a Research Fellow for 3 years. She has conducted fieldwork and led field trips in the US and many areas in the UK. In addition, she has led university regional geology day schools and has comprehensive experience in course and study programme writing. She has extensive experience in delivering courses and in Clastic and Carbonate Reservoir Geology, Deepwater Turbidites, Sandstone Reservoirs, Wireline Log Interpretation, Integrated Sequence Stratigraphy, Basin Analysis and Exploration & Appraisal workshops globally. In delivering the Exploration Team Management Workshop, she has project managed and taught key principles and modules on project planning, data collection/collation, geophysical assessment, stratigraphy and facies mapping, source rock facies and hydrocarbon generation, play fairway mapping, risking and prospect evaluation. Her knowledge and enthusiasm for instructing is reflected in consistently being rated as excellent by trainees, and clients specifically requesting her participation in courses. 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

CWDP training course description The CWDP course consists of instructor-led training applicable to the design of wireless LANs using the latest technologies including 802.11n and 802.11ac. The course goes in-depth into the design process and provides attendees with the knowledge needed to plan, deploy and test modern 802.11-based networks. It also prepares students for the CWDP examination. Students who complete the course will acquire the necessary skills for preparing, planning performing and documenting site surveys and wireless LAN design procedures. What will you learn Design enterprise WiFi networks. Select appropriate antennas and Access points. Perform site surveys. Describe the security requirements required for enterprise networks. Test, validate and troubleshoot installations. CWDP training course details Who will benefit: Anyone looking for the skills to analyze, troubleshoot, and optimize any enterprise level Wi-Fi network, no matter which brand of equipment your organization deploys. Anyone looking to become a CWNP. Prerequisites: CWNA Duration 5 days CWDP training course contents WLAN design overview Importance of good design, Impact of bad design, Design process, Design skills, Design toolkit. Requirements analysis Pre-planning, Customer interaction, Requirements gathering, Discovering existing systems, Documenting the environment, Defining constraints, Creating documentation. Designing for clients and applications Client Device types, Application types, Application-specific design, High density design issues. Designing for industry Standard corporate networks, Industry-specific designs, Government, Healthcare, Hospitality, Retail, Public hotspots, Transportation, Mobile offices, Outdoor and mesh, Remote networks and branch offices, Last-miles / ISP and bridging. Vendor selection processes Defining vendor issues, Operational planes, Design models, Understanding architectures. Radio Frequency (RF) planning RF spectrum, RF behaviors, Modulation and coding schemes, RF accessories, Throughput factors. WLAN hardware selection Antennas, 802.11n and antennas, Choosing Aps, Powering Aps. Site surveys Site survey tools, Site survey preparation, Predictive site surveys, Manual site surveys, Site survey principles and processes. Designing for Quality of Service (QoS) QoS overview, QoS application points, Roaming support. Designing for security Bad security, Authentication solutions, Encryption solutions, Security best practices, Intrusion prevention. Installation testing, validation and troubleshooting Network health status, Troubleshooting and validation process, Troubleshooting and validation tools, Common problems. Hands-on lab exercises Hands-on labs depend on the audience and can include use of: Spectrum analyzers, Protocol analyzers, Site Survey software, Diagramming software, Various wireless access points, Various wireless adapters and antennas.

The Master of Business Administration (MBA) is a prestigious postgraduate qualification that is highly valued by leading employers. It can boost your salary, increase your professional reputation and expand your networking opportunities. If you're a graduate with some business experience and ambitions for a high-flying career, studying for an MBA could be just what you need to make the next step. Our 24 months MBA programme equips you to think logically, laterally and independently through 2 stage intensive, immersive, and challenging programme. With the advantage of studying on the job, anytime and anywhere, you get Cost Advantage and same degree which is given to full time students at the University Campus. This 24 months MBA programme is not just an academic course. By exploring and examining real-life business problems to work on and solve, you enhance your own understanding of how a business works. We take a strategic perspective on business and management that helps you develop the skills to contribute to the major business decisions organisations have to make about their future. Program Overview: Master of Business Administration (MBA) - 24 Months Key Highlights of Master of Business Administration (MBA) - 24 Months qualification are: Fully Recognized and Globally Accepted Degree Program Duration: 24 Months (12 months / 18 months duration programme also available) Program Credits: 180 Designed for working Professionals Format: Online Student to faculty ratio of just 15:1 No Written Exam. The Assessment is done via Submission of Assignment and University Dissertation Project Same Degree which is given to Full Time students at the University Campus. Study material: Comprehensive study material and e-library support available at no additional cost. Tutor Assist available Dedicated Student Success Manager Timely Doubt Resolution Regular Networking Events with Industry Professionals Become eligible to gain direct entry into relevant Doctorate / PhD programme. LSBR Alumni Status No Cost EMI Option Top Skills You Will Learn MBA 24 months is widely seen as a passport to a successful career. It demonstrates the breadth and depth of your functional competence, strategic knowledge and problem-solving ability. Course Structure: MBA 24 MonthsThis 24 months MBA programme consists of 2 Stages.Stage 1: This stage is delivered by London School of Business and Research. The programme involves delivery through on-line Learning Management System (LMS). This stage leads to award of Level 7 Diploma in Strategic Management and Leadership. Credits earned at this stage - 120 credits (60 ECTS). Mandatory units Strategic Management (20 Credits)Strategic Leadership (20 Credits)Strategic Human Resource Management (20 Credits)Advanced Business Research Methods (20 Credits) Optional units(Choose any 2units to make 120 credits) Strategic Financial Management (20 Credits)Supply Chain and Operations Management (20 Credits)Entrepreneurship and Innovation (20 Credits)Globalisation and Corporate Governance (20 Credits)Strategic Change Management (20 Credits)Strategic Marketing (20 Credits) Successful completion of Stage 1 leads to Progression to Stage 2Stage 2: Delivered by the University / awarding body. On completion of the diploma programme you progress / Top up with Degree through a UK University for progression to the MBA degree. The stage 2 is delivered via distance learning by faculties from the University / awarding body. Credits earned at this stage - 60 credits (30 ECTS). Completion of Stage 2 leads to award of MBA Degree Dissertation Project Successful completion of Stage 2 leads to award of Degree by the university. Who is this course for? MBA in 24 Months programme is ideal for working professionals, successful managers, executives and professionals who want to take their career to a new level and Ambitious people who want to fast track their chosen career or start a new enterprise

About this training course Gas-lift is one of the predominant forms of artificial lift used for lifting liquids from conventional, unconventional, onshore and offshore assets. Gas-lift and its various forms (intermittent lift, gas-assisted plunger lift) allows life of well lift-possibilities when selected and applied properly. This 5-day training course is designed to give participants a thorough understanding of gas-lift technology and related application concepts. This training course covers main components such as application envelope, relative strengths and weaknesses of gas-lift and its different forms like intermittent lift, gas-assisted plunger lift. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. 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 fundamental theories and procedures related to Gas-Lift operations Easily recognize the different components of the gas-lift system and their basic structural and operational features Be able to design a gas-lift installation Comprehend how digital oilfield tools help address ESP challenges Examine recent advances in real-time approaches to the production monitoring and lift management 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 implications of gas-lift systems for their fields and reservoirs 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

This is the perfect launch pad for a technical career in Cyber Security and fully prepares every delegate for the prestigious Certified Ethical Hacking (CEH) Course that comes next on the Cyber & Hacking Learning Pathways by Nemstar.