287 CLO courses in Manchester

About this Training Course Well engineers who are responsible for technically evaluating and authorizing programs for drilling or working over wells must have the required skills and competencies to safely design wells of varying nature. They also need to be able to confirm that well delivery and intervention programs generate intrinsic well control assurance. Such work programs must establish, verify, monitor and maintain suitable and sufficient barriers for the entire well lifecycle - from spud to abandonment. Well engineers must also be able to select a suitable drilling or workover rig, capable of safely performing the work within its operational envelope. This 3 full-day course aims to further develop and assess the knowledge required to work on and eventually, authorize a well delivery program as deemed fit for purpose. It also addresses elements of well control that must be embedded into well design, well work programming and equipment selection. This course is intended for participants who already have a sound understanding of the principles of the design and/or delivery of wells and with more than 3 years of relevant industry experience. Training Objectives By the end of this course, participants will be able to: Feel confident to design and plan drilling and workover activities while considering geological risks, formation pressures/strengths, and any integrity or well control concerns. Monitor wells operations and ensure that they can and will remain within the accepted design envelope. Assess risks and then apply mitigation or recovery methods in cases where design envelopes are threatened. Participants should be capable of assessing a drilling or workover program and then be able to answer the following key questions: Does the program delivery have a sound design and work plan that allows the well(s) to be drilled or worked over safely? Have we determined the appropriate kick tolerance for each open hole section and is it realistic for all drilling hazards that may be encountered? Have all drilling hazards been suitably assessed, and the associated risk mitigated to a level as low as reasonably practicable? Are there adequate, verifiable barriers in place throughout the operation and does everybody know their role and responsibility? And, as applicable, is the selected rig capable of implementing the work program? Target Audience This course is intended for personnel directly or indirectly involved in the preparation, review or authorization of drilling and workover programs. This includes: Well engineers and drilling supervisors who are responsible for planning and executing drilling and workover operations. Contractor well engineers, rig managers and other senior drilling staff. Senior well engineers and rig superintendents who are responsible for managing the delivery of a project or well. Technical authority holders who are responsible for licensing drilling and workover operations from a regulatory perspective. Assessment: A satisfactory command of critical knowledge and skills is assured by a 1+ hour closed book assessment. This assessment has a mix of multiple-choice questions (MCQs), calculations and answers that must be written up. The exam is taken electronically. Participants are provided with a suitable formula sheet. The pass mark for issuing a certificate is 70% and participants who are not successful will be issued with a certificate of attendance instead. Trainer Your expert course leader has over 45 years of experience in the Oil & Gas industry. During that time, he has worked exclusively in the well engineering domain. After being employed in 1974 by Shell, one of the major oil & gas producing operators, he worked as an apprentice on drilling rigs in the Netherlands. After a year, he was sent for his first international assignment to the Sultanate of Oman where he climbed up the career ladder from Assistant Driller, to Driller, to wellsite Petroleum Engineer and eventually on-site Drilling Supervisor, actively engaged in the drilling of development and exploration wells in almost every corner of this vast desert area. At that time, drilling techniques were fairly basic and safety was just a buzz word, but such a situation propels learning and the fruits of 'doing-the-basics' are still reaped today when standing in front of a class. After some seven years in the Middle East, a series of other international assignments followed in places like the United Kingdom, Indonesia, Turkey, Denmark, China, Malaysia, and Russia. Apart from on-site drilling supervisory jobs on various types of drilling rigs (such as helicopter rigs) and working environments (such as jungle and artic), he was also assigned to research, to projects and to the company's learning centre. In research, he was responsible for promoting directional drilling and surveying and advised on the first horizontal wells being drilled, in projects, he was responsible for a high pressure drilling campaign in Nigeria while in the learning centre, he looked after the development of new engineers joining the company after graduating from university. He was also involved in international well control certification and served as chairman for a period of three years. In the last years of his active career, he worked again in China as a staff development manager, a position he nurtured because he was able to pass on his knowledge to a vast number of new employees once again. After retiring in 2015, he has delivered well engineering related courses in Australia, Indonesia, Brunei, Malaysia, China, South Korea, Thailand, India, Dubai, Qatar, Kuwait, The Netherlands, and the United States. The training he provides includes well control to obtain certification in drilling and well intervention, extended reach drilling, high pressure-high temperature drilling, stuck pipe prevention and a number of other ad-hoc courses. He thoroughly enjoys training and is keen to continue taking classes as an instructor for some time to come. 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 Virtual Instructor Led Training (VILT)  A decision to drill an exploration well with the objective to find a new oil or gas field must be based on sound assessment of the prospect risk and of the volumes. What is the chance that a well will find hydrocarbons, and how much could it be? Risk and volume assessments form the basis for decisions to drill a well or not, and as such form the link between subsurface evaluation and the business aspects of the petroleum industry. This Virtual Instructor Led Training (VILT) course explains how risks and volumes can be assessed in a realistic manner, based on a sound understanding of the geological details of the prospect as well as its regional geological setting and current play understanding. Participants of this VILT course will receive a softcopy of Risk and Volume Assessment Handbook which explains the concepts that are associated with probabilistic Risk & Volume (R & V) Assessment and contains many practical recommendations on how to translate geological understanding into meaningful inputs for probabilistic R &V assessments. The book is fully compatible with any probabilistic R & V tool in the industry. Training Objectives By the end of this VILT course, participants will be able to understand: The fundamentals of risk and volumes assessment; translating geological understanding into reasonable numbers and ranges. The difference between risk and uncertainty. Fundamentals of statistics; including explanation of distribution curves, understanding of expectation curves, do's and don'ts for adding risked volumes, and Bayes theorem. Uncertainty of trap, reservoir, seal and charge, illustrated by examples. Guidelines and exercises for estimating risks realistically and consistently. Calculating volume ranges for prospects and for portfolios of prospects; how to add prospect volumes for a correct representation of prospect portfolios. Incorporation of geophysical evidence (DHIs) in a realistic risk assessment. Target Audience This VILT course has been designed in the first place for geoscientists working in exploration, for prospect portfolio analysts and for their direct supervisors. It will also benefit staff from disciplines working closely with exploration staff, such as reservoir engineers, petrophysicists and geophysicists. Course Level Intermediate Training Methods Learning, methods and tools The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. It is the intention to have at least 2 smaller exercises per day. Time will be reserved for recapitulation, questions and discussions. VILT will be conducted either via Zoom or Microsoft Teams. Presenting materials can easily be done on this platform. When participants need to ask a question, they can raise their hand, write notes or interrupt the Instructor by using their microphone. The presenter can switch to a screen where he/she can see all participants (also when each participant is sitting in another location e.g. at home). There is also a whiteboard functionality that can be used as one would use a flip chart. Exercises will be done on an online platform which provides each participant with a private work area that can be accessed by the Instructor to discuss the exercise in a similar manner as in a classroom course. Each topic is introduced by a lecture, and learning is re-enforced by practical exercises and discussions. Handout material in electronic format will be provided. Trainer Dr. Jan de Jager has a PhD in Geology from the University of Utrecht. He joined Shell in 1979 as an exploration geologist, and worked in several locations around the world such as Netherlands, Gabon, USA, Australia, Argentina, and Malaysia in technical and management positions. During the last 10 years of his career, he was responsible for the quality assurance of Shell's exploration prospects in many parts of the world and for upgrading and replenishing Shell's global exploration portfolio. During this period, he had also developed extensive expertise in Prospect Risk and Volume assessments for which he ran successful internal training programmes. Following his retirement from Shell in 2010, Dr Jan de Jager took on a position as part-time professor at the University of Amsterdam and also serves as a consultant exploration advisor for various E&P companies. 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

A virtual sales training programme aimed at enhancing the skills of the salesperson to have engaging customer conversations which open opportunities and close more business.

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

Definitive Salt training course description Salt is a remote execution framework and configuration management system. This course covers Salt from the basics. After a quick first taste the course moves onto execution modules, salt states, minion and master data, jinja, Salt extensions and then topology and configuration options. Hands on sessions are used to reinforce the theory rather than teach specific manufacturer equipment. What will you learn Install and use Salt. Describe the architecture of Salt. Manage configurations with Salt. Extend Salt. Definitive Salt training course details Who will benefit: Anyone working with Salt. Prerequisites: Linux fundamentals. Duration 2 days Definitive Salt training course contents Introduction What is Salt? High- level architecture, Some quick examples, system management, configuration management, A brief history, Topology options, Extending Salt. Quick start: First taste of Salt Single-master setup, from packages, bootstrap scripts, Starting up, Basic commands, salt: the main workhorse, salt-key: key management, salt-call: execution on the minion, salt-run: co-ordination of jobs on the master, summary of commands, Key management, viewing keys, accepting keys, rejecting keys, key files, Minion targeting, minion ID, list (-L), glob, regular expressions (-E), grains (-G), compound (-C), targeting summary, Additional remote execution details, Conclusion. Execution modules: The functional foundation sys: information and documentation about modules, sys.doc basic documentation, sys.list_modules, sys.list_functions: simple listings, cmd: execute via shell, cmd.run: run any command, pkg: manage packages, virtual modules, pkg.lists_pkgs: list all installed packages, pkg.available version: see what version will be installed, pkg.install: install packages, user: manage users, user.add: add users, user.list_users, user info: get user info, saltutil: access various Salt utilities, Summary. Configuration management: Salt states Salt files overview, SLS example: adding a user, working with the multi-layered state system, Highstate and the top file, the top file, State ordering, require: depend on another state, watch: run based on other changes, odds and ends, Summary. Minion data / master data Grains are minion data, performing basic grain operations, setting grains, targeting with grains in the top file, Pillars are data from the master, querying pillar data, querying other sources with external pillars, Renderers give data options. Extending Salt: part I Introduction to Jinja, Jinja basics, Templating with Jinja, filtering by grains, Custom execution module, Custom state modules, Custom grains, External pillars, Summary. More on the matter Runners, manage minions, manage jobs, The orchestrate runner, The event system, The reactor system, Summary. Extending Salt: part II Python client API, reading configuration data on a master and minion, using the master client (localclient) API, Using the caller client API, Custom runners, writing a custom runner, using the runnerclient API, Summary. Topology and configuration options Master configuration, directories and files, logging, access control, files server options, Topology variations, masterless minions, peer systems, syndication masters, multiple masters. Brief introduction to salt-cloud Overview, Setup AWS and salt-cloud, installing salt-cloud, cloud providers, cloud profiles, cloud maps, Introspection via salt cloud, Creating infrastructure, More information. Using vagrant to run Salt examples YAML.

Introduction to Virtualization course description A comprehensive tour of virtualization. The course concentrates on the actual technologies involved as opposed to any one vendor solution. What will you learn Explain the concepts of virtualization. Partition servers. Create Virtual Machines. Introduction to Virtualization course details Who will benefit: Anyone looking for an introduction to Virtualization. Prerequisites: None. Duration 2 days Introduction to Virtualization course contents Virtualization Concepts What is Virtualisation? What are virtual machines (VMs)? Virtualisation Landscape. Network Virtualisation. Suitability for Organisations. Advantages of deploying Virtualisation. Downsides of deploying Virtualisation. Overview of Virtualisation products. Hypervisors What is a hypervisor? Difference between type 1 and 2 hypervisors. Available hypervisors. Hypervisors and device drivers. Hands on: Installing Oracle VirtualBox on Windows. Creating/Importing/Configuring VMs. Virtualization Hosts Hardware and resource requirements. Installation of the hypervisor. Hands on: Installing Hyper-V role into Windows Server. Creating/Importing/Configuring VMs. Virtual Machines Creating virtual machines. Resource requirements. Settings. Installation of the guest OS. Additional tools/ extensions for hypervisor integration. VM files and their uses. Virtual hard disk and their formats. Hardware pass through. Hands on: Connecting to VMWare ESXi via WebGUI and using ESXi to create/import/configure VMs. VM Snapshots/Checkpoints What is a snapshot? How to use them and how they impact performance? Creating/deleting/merging of snapshots. Hands on: Using ESXi to create/manage snapshots. Command Line use on the Hypervisor Interacting with the hypervisor through the command line. Simple commands to configure the hypervisor and VMs. Simple scripts. Hands on: Connecting to VMWare ESXi via PowerCLI to manipulate VMs and snaphshots. Virtualization Storage Different types of storage: local vs remote. Local and remote storage technologies. Configuring storage. Hands on: Using ESXi to deploy VMs on remote NFS storage. Virtual Networking How is networking done in virtualization environments. What is a virtual switch and vNIC and what are their performance characteristics? NIC teaming and trunking in the virtual world. Port groups and isolation. Physical NICs and their use in virtual switches. Hands on: Using ESXi to create and configure vswitches and networking. Templates and clones What is a template? What is a clone? When to use templates and clones to optimize VM deployment. Migrating/Importing VMs What is migration? Migrating compute and storage. Importing VMs from files or physical machines. Hands on: Using VMWare vCenter Server to clone/ template/migrate VMs, tag resources, create local user accounts and assign permissions. VMs and Backups Taking backups of your VMs. Restoring your VMs from backups. Virtualization and Licensing Different licensing models and costs. Containerization Concepts What is a container and how is it different from a virtual machine. When to use containers. Docker and Kubernetes

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

Kubernetes for engineers training course description This course covers how Kubernetes addresses the challenges of distributed systems. Hands on sessions follow all the major theory chapters. What will you learn Explain what Kubernetes is and how it works. Create and run containers on Kubernetes using the Docker image format and container runtime. Kubernetes for engineers training course details Who will benefit: Anyone working with Docker or Kubernetes. Prerequisites: Definitive Docker for engineers. Duration 2 days Kubernetes for engineers training course contents Introduction Velocity, Scaling your service and your teams, Abstracting your infrastructure. Creating and running containers Container images, Building application images with Docker, Storing images in a remote registry, The Docker container runtime. Deploying a Kubernetes cluster Installing Kubernetes on a public cloud provider, Installing Kubernetes locally using minikube, Running Kubernetes on Raspberry Pi, The Kubernetes client, Cluster components. Common kubectl Commands Namespaces, Contexts, Viewing Kubernetes API objects, Creating, Updating, and Destroying Kubernetes objects, Labelling and annotating objects, Debugging commands. Pods Pods in Kubernetes, Thinking with pods, The pod manifest, Running pods, Accessing your pod, Health checks, Resource management, Persisting data with volumes, Putting It all together. Labels and Annotations Labels, Annotations. Service Discovery What Is Service discovery? The service object, Looking beyond the cluster, Cloud integration, Advanced details. ReplicaSets Reconciliation loops, Relating pods and ReplicaSets, Designing with ReplicaSets, ReplicaSet Spec, Creating a ReplicaSet, Inspecting a ReplicaSet, Scaling ReplicaSets, Deleting ReplicaSets. DaemonSets DaemonSet scheduler, Creating DaemonSets, Limiting DaemonSets to specific nodes, Updating a DaemonSet, Deleting a DaemonSet. Jobs The job object, Job patterns. ConfigMaps and secrets ConfigMaps, Secrets, Naming constraints, Managing ConfigMaps and secrets. Deployments Your first deployment, Creating deployments, Managing deployments, Updating deployments, Deployment strategies, Deleting a deployment. Integrating storage solutions and Kubernetes Importing external services, Running reliable singletons, Kubernetes-native storage with StatefulSets. Deploying real-world applications Parse, Ghost, Redis.

NFV training course description Network Functions Virtualization (NFV) brings many benefits, this training course cuts through the hype and looks at the technology, architecture and products available for NFV. What will you learn Explain how NFV works. Describe the architecture of NFV. Explain the relationship between NFV and SDN. Recognise the impact NFV will have on existing networks. NFV training course details Who will benefit: Anyone wishing to know more about NFV. Prerequisites: Introduction to Virtualization. Duration 2 days NFV training course content Introduction What is NfV? What are network Functions? NfV benefits, NfV market drivers. ETSI NfV framework. Virtualization review Server, storage and network virtualization and NfV. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Virtualization of Network Functions Network virtualization versus Network Function virtualization. ETSI NfV architecture ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. IETF and NfV Creating services, Service Functions, Service Function Chaining. SPRING and source packet routing. YANG and NetConf. RESTCONF. VLANs, VPNs, VXLAN. MANO Management and Orchestration. OpenStack, OpenDaylight PaaS and NfV. The VNF domain. Service graphs, MANO descriptors, Open orchestration. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Summary Deploying NfV, performance, testing. Futures.

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