1488 Courses in Coventry

Database fundamentals training course description This three-day training course helps you prepare for Microsoft Technology Associate Exam 98-364, and build an understanding of these topics: Core Database Concepts, Creating Database Objects, Manipulating Data, Data Storage, and Administering a Database. What will you learn Describe core database concepts. Create database objects. Manipulate data. Describe data storage. Administer a database. Create a relational database consisting of 3 related tables. Database fundamentals training course details Who will benefit: Those working with databases. Prerequisites: None. Duration 3 days Database fundamentals training course contents Understanding core database concepts Flat-type databases, hierarchical databases, relational databases, database fundamentals, relational database concepts, using the SQL Server Management Studio Interface. Data Manipulation Language (DML), Data Definition Language (DDL), using DDL statements. Creating database objects Defining data types, using built-in data types, using exact numeric data types, using approximate numeric data types. Creating and using tables. Creating views. Creating stored procedures, SQL injections. Manipulating data Using Queries to select data, combining conditions, using the BETWEEN clause, using the NOT clause, using the UNION clause, using the EXCEPT and INTERSECT clauses, using the JOIN clause. Using Queries to insert data, Inserting data. Updating data and databases, Using the UPDATE statement. Deleting data, Using the DELETE statement, truncating a table with TRUNCATE TABLE, deleting a table with DROP TABLE, using referential integrity. Understanding data storage Normalising a database, normalization, first normal form, second normal form, third normal form, fourth normal form, fifth normal form. Primary, foreign and composite keys, clustered and non-clustered indexes, creating a non-clustered table. Administering a Database Securing Databases, server-level security, database-level security, Windows security, SQL authentication, database server roles, granting access to a database, fixed database roles, object permissions, managing roles, ownership chains, reviewing a sample security model. Backing up and restoring databases, recovery models, backup devices.

This full day workshop is designed to follow on and build on the learning from the 1-hour webinar to provide an embedded learning experience leading to acceptance and change of culture around neurodiversity. We understand the pressure managers can experience working within a neurodiverse team, this training is designed with managers in mind.

Call centre training course description A theory based course covering the major technologies found in call centres today. What will you learn ACD IVR CRM CTI Diallers Call centre training course details Who will benefit: Anyone needing to know about technologies used in call centres. Prerequisites: Telecommunications Introduction Introduction to data comms and networking Duration 2 days Call centre training course contents Overview What are call centres? What are contact centres, Inbound call centres, outbound call centres, blended call centres, Call centre architectures. Telephony and telecomms basics PSTN, switching, PBXs, call routing. Data basics OSI, IP, VoIP. Routing, queuing and matchmaking Principles, distribution, sequencing. ACDs PBX features, Users, call processing, agent features, supervisor features, ACD telephones, ACD calls vs PBX calls, agent positions, ACD groups, routing calls, skills based routing. IVR Types, architectures, choice and control, best practices, IVR input technologies, IVR output technologies, speech recognition, call routing, IVR sizing, web based self service. CRM Contact management, databases, integration, use in call centres, benefits and features. Call centre integration Media types, VoIP, unified messaging, VoiceXML. CTI Simple CTI, 1st and 3rd party integration, CTI benefits and applications in call centers. Diallers History, campaigns, campaign types, Call Progress Detectors, Preview and Predictive Dialling. Management tools Measuring, managing, optimising, recorders, forecasting call centre resources.

NNMi for engineers training course description A hands on course focusing on network management using Network Node Manager (NNMi) on Microsoft Windows or UNIX. What will you learn Describe the network management architecture. Use NNMi. Diagnose faults using NNMi. Recognise the MIB structure. NNMi for engineers training course details Who will benefit: Network administrators. Network operators. Those wishing to find out more about how their NNMi works. Prerequisites: TCP/IP foundation for engineers Duration 2 day NNMi for engineers training course content Network management What is network management? Benefits, issues, demonstration. Getting started with NNMi Starting NNMi, IP discovery, IP monitoring, controlling IP discovery. Using NNMi Mapping devices, map layouts, maps and submaps, objects and symbols, object attributes, colour codings, polling. Agents Configuring Cisco devices for SNMP support, communities, traps, syslog. Parts of SNMP SNMP architecture, MIBs, The protocol. NNMi SNMP configuration NNMi alarm browser NNMi alarms, alarm categories, filtering alarms, alarm details window. MIBs MIB1, MIB2, The MIB2 groups, additional MIBs, MIB compilers, vendor MIBs. NNMi MIB loader and browser. Monitoring devices Polling, obtaining MIB information. Diagnostic tools Poll node, the ping window, protocol test, locate route NNMi fault management Alarms, polling, fault management, setting thresholds and configuring traps.

GSM training course description GSM is in widespread use today. This seminar gives an comprehensive overview of GSM. What will you learn Explain what GSM is. Describe the architecture of the GSM network. Describe the GSM protocol stack. GSM training course details Who will benefit: Anyone who needs to know more about GSM. Prerequisites: Telecommunications Introduction Duration 2 days GSM training course contents Introduction History of GSM, analogue networks, digital networks, PCS1900. GSM services Telephony, digital encoding, data rates, Group 3 fax, SMS, Supplementary services. GSM architecture Mobile station Mobile Equipment (ME), Subscriber Identity Module (SIM). Base Station Subsystem Base Transceiver Station (BTS), Base Station Controller (BSC). Network Subsystem Mobile Services Switching Centre (MSC), Home Location Register (HLR), Visitor Location Register (VLR), Equipment Identity Register (EIR), Visitor Location register (VLR), Authentication Centre (AuC) Radio Link Aspects Bands, FDMA, TDMA, Traffic channels, Control channels, Speech coding, Channel coding and modulation, Multipath equalisation, Frequency hopping. GSM signalling SS7 overview, GSM SS7 nodes, Base Station Subsystem Application Part (BSSAP), Transaction Capabilities Application Part (TCAP), Mobile Application Part (MAP). Interfaces Um, Abis and A interfaces. Mobility and call processing in GSM Attach & location update process, mobile originate, mobile termination, handovers. GSM services Tele services, Bearer services, supplementary services, SMS, security. GSM futures GPRS, UMTS.

About this Training Course More energy companies today are setting ambitious net-zero targets and are expected to pour billions into the voluntary carbon offset market by the end of this decade. To get to net zero emissions, companies will need to balance emissions with nature and technology-based offsets. Markets are the best tool for connecting carbon sources and sinks. Many countries will not have enough supply inside their borders and will need to co-operate with those who have extra greenhouse gas removal potential. The energy industry is in search of effective climate tools as pressure mounts from investors and consumers for more progress on fighting rising emissions. Corporations fighting to cut their carbon footprint have for years focused on internal reduction measures. Many are now adding to that effort by turning to carbon credits, a process made easier as verification and registration tools mature. One particular category of carbon offsets leads the way: high-quality, nature-based carbon credits. These represent the largest category of carbon credit projects in the voluntary carbon market, comprising nearly half of credits issued. Public concern about this practice focused on the additionality, leakage, and integrity of carbon offsets that are created through reforestation, land preservation, carbon capture and other projects. Lack of standardization and government regulation has also increased uncertainty for all participants in carbon markets, creating risks for developers of credit-generating projects and offset purchasers. Demand for higher-quality offsets will value projects that were subjected to due diligence and rely upon reputable third-party verification. Companies purchasing offsets generated by permanent and quantifiable projects will therefore be in the best position moving forward. In this highly interactive training course, your course instructor will guide you through the latest developments and best procurement practices to successfully operate in the voluntary carbon market. Training Objectives At the end of this course, the participants will be able to: Discover the current state of the carbon economy Gain insights into the voluntary carbon market Learn about the different type carbon credits available Examine how companies can reach net zero target by using carbon offsets Uncover best practices in carbon credit procurement strategy Learn the pricing dynamics carbon credits Examine how to identify and ensure high quality credits Obtain key learning from flawed carbon offset projects Target Audience This course is intended for: Energy transition team leaders Carbon credit procurement professionals ESG strategy team leaders Finance and accounting professionals Low carbon business analysts or economists Corporate business sustainability professionals Legal, compliance and regulatory professionals Carbon trading professionals Course Level Intermediate Trainer Your expert course leader is a skilled and accomplished professional with over 25 years of extensive C-level experience in the energy markets worldwide. He has a strong expertise in all the aspects of (energy) commodity markets, international sales, marketing of services, derivatives trading, staff training and risk management within dynamic and high-pressure environments. He received a Master's degree in Law from the University of Utrecht in 1987. He started his career at the NLKKAS, the Clearing House of the Commodity Futures Exchange in Amsterdam. After working for the NLKKAS for five years, he was appointed as Member of the Management Board of the Agricultural Futures Exchange (ATA) in Amsterdam at the age of 31. While working for the Clearing House and exchange, he became an expert in all the aspects of trading and risk management of commodities. In 1997, he founded his own specialist-consulting firm that provides strategic advice about (energy) commodity markets, trading and risk management. He has advised government agencies such as the European Commission, investment banks, major utilities and commodity trading companies and various energy exchanges and market places in Europe, CEE countries, North America and Asia. Some of the issues he has advised on are the development and implementation of a Risk Management Framework, investment strategies, trading and hedging strategies, initiation of Power Exchanges (APX) and other trading platforms, the set-up of (OTC) Clearing facilities, and feasibility and market studies like for the Oil, LNG and the Carbon Market. The latest additions are (Corporate) PPAs and Artificial Intelligence for energy firms. He has given numerous seminars, workshops and (in-house) training sessions about both the physical and financial trading and risk management of commodity and carbon products. The courses have been given to companies all over the world, in countries like Japan, Singapore, Thailand, United Kingdom, Germany, Poland, Slovenia, Czech Republic, Malaysia, China, India, Belgium and the Netherlands. He has published several articles in specialist magazines such as Commodities Now and Energy Risk and he is the co-author of a book called A Guide to Emissions Trading: Risk Management and Business Implications published by Risk Books in 2004. 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

About this Training Course This intermediate to advanced level 3 full-day training course has been designed to provide participants with a detailed and up-to-date overview of the fluid mechanic fundamentals and operating practice of pumps, compressors and gas and steam turbines. Upon the successful completion of this course, participants will have acquired the practical knowledge to enable them not only to choose the correct device for a particular application but also be in a position to resolve many commonly occurring operating problems. Troubleshooting is an important part of this course and will cover the important topics of Machinery Root Cause Failure Analysis (RCFA) together with Vibration Analysis. This course is ideal for those personnel in the oil, gas, petrochemical, chemical, power and other process industries who require a wider and deeper appreciation of pumps, compressors and turbines, including their design, performance and operation. The participants will be taken through an intensive primer of turbo-machinery principles, using the minimum of mathematics, and will learn how to solve the many and varied practical industrial problems that are encountered. The course makes use of an extensive collection of VIDEO material together with case studies and numerical exercises. Training Objectives Upon the successful completion of this course, each participant will be able to: Apply a comprehensive knowledge of pumps, compressors & turbines and troubleshoot rotating equipment in a professional manner Identify the different types of turbomachinery including basic design aspects and highlighted problem areas Minimise compressor work by understanding the processes involved and identifying their efficiency Understand the flow through turbomachines and the corresponding velocity triangles including torque and power calculations Analyse the different types of centrifugal machines including their design, installation, operation, maintenance, re-rate/retrofit, troubleshooting and control Recognise the various beneficial design aspects of turbomachines and understand the crucial process of cavitation Carry out proper methods of device installation, operation, maintenance and troubleshooting Understand and apply the powerful methods of Machinery Root Cause Failure Analysis Understand the various methods of vibration analysis applied to device diagnostics Target Audience This course provides an overview of all significant aspects and considerations of pumps, compressors and turbines for those who are involved in the design, selection, maintenance or troubleshooting of such equipment. This includes maintenance, reliability, integrity, engineering, production and operations managers, engineers and other technical staff. Course Level Intermediate Advanced Trainer Your expert course leader is a Senior Mechanical & Instrumentation Engineer (UK, B. Sc., M.Eng., Ph D) with over 45 years of industrial experience in Process Control & Instrumentation, Pumps, Compressors, Turbines and Control Valve Technology. He is currently a Senior Independent Consultant to various petrochemical industries in the UK, USA, Oman, Kuwait and KSA where he provides consultancy services on both the application and operational constraints of process equipment in the oil & gas industries. During his early career, he held key positions in Rolls Royce (UK) where he was involved in the design of turbine blading for jet engines, subject to pre-specified distributions of pressure. During this period and since, he has also been closely involved in various aspects of Turbomachinery, Thermodynamics and Fluid Mechanics where he has become a recognised authority in these areas. Later, he joined the academic staff of University of Liverpool in the UK as a Professor in Mechanical Engineering Courses. A substantial part of his work has been concerned with detailed aspects of Flowmetering - both of single & multiphase flows. He has supervised doctoral research students in this area in collaboration with various European flowmeter manufacturers. He joined Haward Technology Middle East in 2002 and was later appointed as European Manager (a post which has since lapsed) and has delivered over 150 training courses in Flowmeasurement (single- and multi-phase), Control, Heat Exchangers, Pumps, Turbines, Compressors, Valve and Valve Selection as well as other topics throughout the UK, USA, Oman and Kuwait. During the last two years, he has delivered courses with other training companies operating in the Far and Middle East. He has published about 150 papers in various Engineering Journals and International Conferences and has contributed to textbooks on the topics listed above. 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 design training course description This course provides you with the knowledge needed to perform the design of a network infrastructure that supports desired network solutions to achieve effective performance, scalability, and availability. We recognise that the role of design does not normally require hands on skills but hands on sessions are used to reinforce the theory not to teach configuration or troubleshooting. What will you learn Create HA enterprise network designs. Develop optimum Layer 3 designs. Design effective modern WAN and data center networks. Develop effective migration approaches to IPv6. Create effective network security designs. Network design training course details Who will benefit: Anyone involved with network design. Prerequisites: TCP/IP Foundation for engineers Duration 5 days Network design training course contents Part I Reliable, resilient enterprise L2/3 network designOptimal Enterprise Campus Design:Enterprise campus design principles, hierarchy, modularity, flexibility, resiliency.EIGRP design:EIGRP Design, Should you use EIGRP?OSPF design: OSPF scalability designs, OSPF area design, OSPF Full-Mesh Design, OSPF Hub-and-Spoke Design, OSPF convergence design and optimization techniques. IS-IS Design:The protocol, IS-IS hierarchical architecture, IS-IS vs OSPF, IS-IS Deep Dive, IS-IS Design Considerations. BGP design:BGP overview, Designing Scalable iBGP Networks, BGP Route Reflector Design, Enhancing the Design of BGP Policies with BGP Communities, Case Study: Designing Enterprise wide BGP Policies Using BGP Communities, BGP Load-Sharing Design.Part II Enterprise IPv6 Design ConsiderationsIPv6 Design Considerations in the Enterprise: IPv6 Deployment and Design Considerations, Considerations for Migration to IPv6 Design, IPv6 Transition Mechanisms, Final Thoughts on IPv6 Transition Mechanisms. Challenges of the Transition to IPv6: IPv6 Services, Link Layer Security Considerations. Part III Modern Enterprise Wide-Area Networks DesignService Provider-Managed VPNs:Choosing Your WAN Connection, Layer 3 MPLS VPNs, Case Study: MPLS VPN Routing Propagation, Layer 2 MPLS VPN Services. Enterprise-Managed WANs: Enterprise-Managed VPNs, GRE, Multipoint GRE, Point-to-Point and Multipoint GRE, IPsec, IPsec and dynamic VTI, DMVPN, Case Study: EIGRP DMVPN, DMVPN and Redundancy, Case Study: MPLS/VPN over GRE/DMVPN, SSL VPN. Enterprise WAN Resiliency Design: WAN Remote-Site Overview, MPLS L3 WAN Design Models, Common L2 WAN Design Models, Common VPN WAN Design Models, 3G/4G VPN Design Models, Remote Site Using Local Internet, Remote-Site LAN, Case Study: Redundancy and Connectivity, NGWAN, SDWAN, and IWAN Solution Overview, IWAN Design Overview, Enterprise WAN and Access Management. Part IV Enterprise Data Center DesignsMultitier Data Center Designs: Case Study: Small Data Centers (Connecting Servers to an Enterprise LAN), Case Study: Two-Tier Data Center Network Architecture, Case Study: Three-Tier Data Center Network Architecture.Trends and Techniques to Design Modern Data Centers: The Need for a New Network Architecture, Limitations of Current Networking Technology, Modern Data Center Design Techniques and Architectures, Multitenant Data Center. SDN:SDN characteristics, How SDN addresses current Networking Limitations, SDN Architecture Components, SDN Network Virtualization overlays. Data Center Connections:Data Center Traffic Flows, The Need for DCI, IP Address Mobility, Case Study: Dark Fiber DCI, Pseudowire DCI. Part V Design QoS for Optimized User ExperienceQoS Overview:QoS Overview, IntServ versus DiffServ, Classification and Marking, Policers and Shapers, Policing Tools: Single-Rate Three-Color Marker, Policing Tools: TwoRate Three-Color Marker, Queuing Tools, Dropping Tools. QoS design principles and best practices: QoS overview, classification and marking design principles, policing and remarking design principles, queuing design principles, dropping design principles, Per-Hop behavior queue design principles, RFC 4594 QoS Recommendation, QoS Strategy Models. Campus QoS, WAN QoS, Data Center QoS.MPLS VPN QoS Design: The Need for QoS in MPLS VPN, Layer 2 Private WAN QoS Administration, Fully Meshed MPLS VPN QoS Administration, MPLS DiffServ Tunneling Modes, Sample MPLS VPN QoS Roles. IPsec VPN QoS Design: The Need for QoS in IPsec VPN, VPN Use Cases and Their QoS Models, IPsec Refresher, Encryption and Classification: Order of Operations, MTU Considerations, DMVPN QoS Considerations. Part VI IP Multicast DesignEnterprise IP Multicast Design: How Does IP Multicast Work? Multicast Protocols, Multicast Forwarding and RPF Check, Multicast Protocol Basics, PIM-SM Overview, Multicast Routing Table, Basic SSM Concepts, Bidirectional PIM. RP discovery, Anycast RP Features, MSDP. Part VII Designing Optimum Enterprise Network SecurityDesigning Security Services and Infrastructure Protection Network Security Zoning, Designing Infrastructure Protection.Designing firewall & IPS solutions: Firewall architectures, virtualized firewalls. Case Study: Application Tier separation, Case Study: Firewalls in a Data Center, Case Study: Firewall High Availability, IPS Architectures, Case Study: Secure Campus Edge Design (Internet and Extranet Connectivity). IP Multicast Security: Multicast Security Challenges, Multicast Network Security Considerations. Designing Network Access Control Solutions:IEEE 802.1X, EAP, 802.1X supplicants, 802.1X phased deployment, Case Study: Authorization Options. Part VIII Design scenariosDesign Case Studies: 1: Enterprise Connectivity, 2: Enterprise BGP with Internet Connectivity, 3: IPv6, 4: Data Center Connectivity, 5: Resilient Enterprise WAN, 6: Secure Enterprise Network, 7: QoS in the Enterprise Network.

OpenSSL for engineers training course description A hands on course covering OpenSSL. The course focusses on the use of OpenSSL from the command line as opposed to using its extensive libraries. Certificate authorities are configured along with key generation, HTTPS and a SSL VPN. What will you learn Describe OpenSSL. Use OpenSSL. Describe and implement: Explain how the various technologies involved in an OpenSSL work. OpenSSL for engineers training course details Who will benefit: Network personnel. Prerequisites: IP security foundation for engineers Duration 2 days OpenSSL for engineers training course contents What is OpenSSL? What is SSL? SSL versions, TLS, TLS negotiation, TLS authentication, What is OpenSSL, Command line tool, SSL library. OpenSSH, OpenVPN. Hands on TLS packet analysis. Getting started with OpenSSL Downloading, source code, packages, installing, versions, configuration, openssl command. Cipher suite selection. Hands on Encrypting a file with openssl. Public and private keys Algorithms, creating keys, public keys, private keys, encrypting the private key. Hands on Encrypting a file with keys. Digital signatures Creating signatures, checking validity of signatures, Self signing SSL certificates. Viewing certificates. Certificate files. Converting between formats. Hands on Securing a web server with HTTPS. Simple PKI with OpenSSL Root CA, signing CA, configuration files, Certificate signing requests. Email certificates, TLS server certificates. Hands on Implementing a simple PKI with OpenSSL.

About this training course Business Impact: The main aim is to provide insight and understanding of data analytics and machine learning principles through applications. Field data is used to explain data-analysis workflows. Using easy to follow solution scripts, the participants will assess and extract value from the data sets. Hands-on solution approach will give them confidence to try out applicable techniques on data from their field assets. Data analysis means cleaning, inspecting, transforming, and modeling data with the goal of discovering new, useful information and supporting decision-making. In this hands-on 2-day training course, the participants learn some data analysis and data science techniques and workflows applied to petroleum production (specifically artificial lift) while reviewing code and practicing. The focus is on developing data-driven models while keeping our feet closer to the underlying oil and gas production principles. Unique Features: Eight business use cases covering their business impact, code walkthroughs for most all and solution approach. Industry data sets for participants to practice on and take home. No software or complicated Python frameworks required. Training Objectives After the completion of this training course, participants will be able to: Understand digital oil field transformation and its impact on business Examine machine learning methods Review workflows and code implementations After completing the course, participants will have a set of tools and some pathways to model and analyze their data in the cloud, find trends, and develop data-driven models Target Audience This training course is suitable and will greatly benefit the following specific groups: Artificial lift, production and facilities engineers and students to enhance their knowledge base, increase technology awareness, and improve the facility with different data analysis techniques applied on large data sets Course Level Intermediate Advanced Training Methods The course discusses several business use-cases that are amenable to data-driven workflows. For each use case, the instructor will show the solution using a data analysis technique with Python code deployed in the Google cloud. Trainees will solve a problem and tweak their solution. Course Duration: 2 days in total (14 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 Knowledge of Python is not a must but preferred to get the full benefit. The training will use the Google Collaboratory environment available in Google-Cloud for hands-on exercises Trainees will need to bring a computer with a Google Chrome browser and a Google email account (available for free) 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