327 Courses in Bradford

In this workshop, you will gain a better understanding of the benefits and challenges of working with neurodiverse people. Make your Organisation a more inclusive place for neurodiverse individuals.

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).

About this Virtual Instructor Led Training (VILT) Governments, regulators and energy companies are pursuing CO2 storage technologies to meet their net-zero carbon commitments as well as targets set by the international Paris Agreement on climate change. For successfully executing Carbon Capture & Storage (CCS) projects, various technical, operational, economic and environmental risks and associated stakeholders need to be managed. In this 5 half-day Virtual Instructor Led Training (VILT) course, the methods for managing risk in CCS projects are addressed with a focus on CO2 injection and storage. The VILT course will also demonstrate how to assess storage capacity of a potential CO2 storage reservoir, model framing techniques, and well injectivity issues related to CO2 injection. The potential leak paths will be discussed such as reservoir seals, leakage along faults and aspects of well integrity. In the VILT course, the design of a monitoring programme will also be discussed. The VILT course will be supported by various case studies. This VILT course will cover the following modules: CCS projects in an international context Site selection and site characterization Storage capacity assessment Injectivity assessment Containment assessment Measurement, monitoring & verification Training Objectives On completion of this VILT course, participants will be able to: Uncover the functions and associated components required to capture, transport and store CO2 in subsurface aquifers and (depleted) hydrocarbon reservoirs Find a systematic and integrated approach to risk identification and assessment for CO2 storage projects (maturation) Appreciate the requirements (physics modelling) and uncertainties to assess the CO2 storage capacity of a selected site. Understand the challenges, data and methods to assess CO2 well injectivity and well integrity Identify the leakage pathways of a selected storage site, and understand the assessment methods and associated uncertainties Learn how to design a monitoring program Target Audience This VILT course is intended for all surface and subsurface engineers such as facility engineers, geologists, geophysicists, reservoir engineers, petrophysicists, production technologists/engineers, well engineers and geomechanical specialists. Also, (sub)surface team leads, project managers, business opportunity managers, decision executives, and technical risk assessment & assurance specialists will benefit from this VILT course as it provides a common framework and workflow to develop a CCS project. For each class, it is highly recommended that a mix of disciplines mentioned above are represented to facilitate discussions from different perspectives. Course Level Basic or Foundation Training Methods This VILT course is built around cases in which teams work to identify and assess CO2 storage site issues using a systematic thought approach in this course. In addition, exercises are used to practise the aspects of the CCS risk assessment process. The VILT course provides a venue for discussion and sharing of good practices as well as opportunities to practise multi-discipline co-operation and facilitation. Participants are encouraged to bring their own work issues and challenges and seek advice from the expert course leaders and other participants about all aspects of CCS. This VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Trainer Trainer 1: Your expert course leader has more than 36 years of experience in the oil & gas industry with Shell. He gained broad experience in petroleum engineering, with expertise in integrated production systems from subsurface, wells and surface. He has had assignments in Production Technology, R&D, Production Chemistry, Rock Mechanics and Reservoir Engineering cEOR, with a proven track record in technology screening, development and deployment, field development planning, conceptual well design and Production System Optimization (PSO) of gas and oil fields as well as preparing Well, Reservoir & Facility Management (WRFM) strategies and plans. He had also worked on assignments in NAM and did fieldwork in Oman, Gabon and Shell Nigeria. He is a skilled workshop facilitator. He discovered his passion for teaching following an assignment in Shell Learning. During his time in Shell, he developed and taught technical courses to Shell professionals via blended learning. Trainer 2: Your second expert course leader has over 30 years of experience identifying, assessing and mitigating technical risks with Shell. The main focal point of his experience is in subsurface and Geomechanical risks. He is the the founding father of various innovations in how we assess risks by tool development (for bore hole stability, 3D geomechanical field evaluations and probabilistic assessment). He also developed an eye for people motivation, change management and facilitation. He was also responsible for the Geomechanical competence framework, and associated virtual and classroom training programme in Shell for 10 years. Trainer 3: Your third expert course leader has more than 30 years of experience in Shell, focusing on research and development in drilling and offshore systems. His areas of expertise is in project management, finance, business planning, investment, development studies and economics models. In 2021, he worked on a project that looked into the economic evaluation of P18A field complex for CO2 storage. He has an MSc in Mechanical Engineering (M.E.) TU Delft Netherlands (Hons) and a baccalaureate from Erasmus University Rotterdam. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information about post training coaching support and fees applicable for this. Accreditions And Affliations

About this Virtual Instructor Led Training (VILT) A large amount of geological data is acquired at a substantial cost when carrying out a drilling operation. Ensuring optimal quality of this information and effective reporting plays a key role during well design and drilling operations. In addition, there is much to benefit from the later usage of the data in field studies. A critical component that ensures favourable and positive results is the close co-operation between geological, drilling and well engineering departments. Comprising 5 half-day sessions, this Virtual Instructor Led Training (VILT) course aims to provide the required knowledge in order for the collaboration to be most effective and successful. This VILT course will comprise lectures interspersed with practical and interactive exercises and quizzes to promote better understanding. Training Objectives At the end of this VILT course, participants will be able to: Understand the techniques used by wellsite geologists in formation evaluation via: Quick-look analysis to assess reservoir and hydrocarbons Mudlog data (lithology/cutting description, gas readings) Grasp the application of wellsite data in exploration and development Be able to read, assess and use drilling reports Acquire an understanding of drilling problems caused by subsurface conditions Understand the role and contributions of the geologist to the well maturation process Target Audience This VILT course is intended for geologists and other subsurface staff involved in drilling operations who would like to work and communicate more effectively with wellsite staff.  Please note that this VILT course is not a preparation course for a wellsite assignment. To be able to work independently on the wellsite, a more hands-on or on-site training would be required. Training Methods This VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your expert course leader has close to 20 years of experience as a geologist in the Oil & Gas industry. Her main interest and passion is in well planning and operations. She had previously worked as a production geologist and technical authority in NAM (Netherlands), and as a discipline advisor tasked to coach young staff in Bangalore. She has been active in internal training sessions on drilling hazards, mudwindow assessment and project management. She obtained an MSc in hard rock structural geology from the University in Utrecht, a PhD at Brown University (RI, USA) and a post-doctoral at the RWTH Aachen. 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

Windows server 2019 administration course description This five-day instructor-led course is designed primarily for IT professionals who have some experience with Windows Server. It is designed for professionals who will be responsible for managing identity, networking, storage and compute by using Windows Server 2019, and who need to understand the scenarios, requirements, and options that are available and applicable to Windows Server 2019. The course teaches IT professionals the fundamental administration skills required to deploy and support Windows Server 2019 in most organizations. What will you learn Administrate Windows Server 2019. Configure file servers and storage. Manage Hyper-V virtualization and containers. Implement HA and disaster recovery solutions. Implement service monitoring and performance monitoring, and apply troubleshooting. Perform upgrades and migration related to AD DS, and storage. Windows server 2019 administration course details Who will benefit: Technical staff working with Windows server 2019. Prerequisites: TCP/IP foundation for engineers. Some Windows experience. Duration 5 days Windows server 2019 administration course contents Windows server administration overview Windows server administration principles and tools, Introducing Windows Server 2019, Windows Server Core Overview. Lab: Deploying and configuring Server Core, Implementing and using remote server administration. Identity Services in Windows server AD DS, Windows Server domain controllers, Azure AD, Group Policy, Active Directory Certificate Services. Lab: Deploying a new domain controller on Server Core, Configuring Group Policy, Deploying and using certificate services. Network Infrastructure services in Windows server DHCP, DNS services, IPAM. Lab: Deploying and configuring DHCP, Deploying and configuring DNS. File Servers and Storage management Volumes and file systems, sharing in Windows Server, Storage Spaces in Windows Server, Data Deduplication, Iscsi, Distributed File System. Lab: Implementing Data Deduplication, Configuring iSCSI storage, Configuring redundant storage spaces, Implementing Storage Spaces Direct. Hyper-V virtualization and containers Hyper-V in Windows Server, Configuring VMs, Securing virtualization in Windows Server, Containers in Windows Server, Overview of Kubernetes. Lab: Creating and configuring VMs, Installing and configuring containers. High Availability in Windows Server Planning for failover clustering implementation, Creating and configuring failover cluster, stretch clusters, High availability and disaster recovery solutions with Hyper-V VMs. Lab: Configuring iSCSI storage, Configuring a failover cluster, Deploying and configuring a highly available file server, Validating the highly available file server deployment. Disaster recovery in Windows Server Hyper-V Replica, Backup and restore infrastructure in Windows Server. Lab: Implementing Hyper-V Replica, Implementing backup and restore with Windows Server Backup. Windows Server security Credentials and privileged access protection, Hardening Windows Server, Just Enough Administration in Windows Server, Securing and analyzing SMB traffic, Windows Server update management. Lab: Configuring Windows Defender Credential Guard, Locating problematic accounts, Implementing LAPS. Remote Desktop Services in Windows Server Remote Desktop Services, session-based desktop deployment, personal and pooled virtual desktops. Lab: Implementing RDS, Configuring RemoteApp collection settings, Configuring a virtual desktop template. Remote access and web services in Windows Server Overview of RAS in Windows Server, Implementing VPNs, Implementing NPS, Implementing Always On VPN, Implementing Web Server in Windows Server. Lab: Implementing Web Application Proxy, Implementing VPN in Windows Server, Deploying and Configuring Web Server. Monitoring, performance, and troubleshooting Windows Server monitoring tools, Performance Monitor, Monitoring event logs for troubleshooting. Lab: Establishing a performance baseline, Identifying the source of a performance problem, Viewing and configuring centralized event logs, Identifying the source of a performance problem, Describe monitoring tools and performance monitoring in Windows Server, Describe event logging and perform event logging monitoring for troubleshooting purposes. Upgrade and migration in Windows Server AD DS migration, Storage Migration Service, Windows Server migration tools. Lab: Selecting a process to migrate server workloads, Planning how to migrate files by using Storage Migration Service.

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

About this Virtual Instructor Led Training (VILT) This 3 half-day Virtual Instructor Led Training (VILT) course will help participants grasp the idea of real-world risk management and how this relates to the cyber world. The VILT course will cover topics surrounding identifying cyber risks and vulnerabilities, guidance on applying administrative actions, and comprehensive solutions to ensure your organization is adequately secure and protected. The VILT course will guide participants on how to conduct a security risk assessment for their organization, and equip them with the skills to develop a risk compliance assessment plan as well as methods to develop risk management strategies which can improve their organization's security posture. The VILT course has at least a 30% hands-on approach through the use of Table Top Exercises. The VILT course will cover the following modules: Introduction to Risk Assessments (RA) Threat Actors and Their Motivations Threat and Risk Assessment Critical Controls Identification Maturity Assessment Treated Cyber Risk Profile Target Cyber Risk Profile and Strategy Target Audience The VILT course is intended for professionals responsible for organizational information and security system and those involved in operating and maintenance of critical information and IT network & sotware systems. Professionals who are designated as the Single Point of Accountability (SPoA) as well as system auditors will find this course useful. Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 3 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 3 half-day sessions, 4 hours per session (12 hours in total). This VILT course is delivered in partnership with ENGIE Laborelec. Trainer Your expert course leader is a is specialized in cybersecurity risk management. Before joining ENGIE, she worked for The National Cybersecurity Agency of France (ANSSI) based in Paris (France) and for Deloitte Belgium located in Zaventem (Belgium). She has been involved in cybersecurity projects focusing on the principle of protecting critical infrastructures. Her different experiences in Cyber Security, Anti-Money Laundering and Global Trade Compliance (including Export Control and Customs) gave her the opportunity to use methodologies tackling strategic, operational and financial control issues at all levels of an organization: people, business processes, IT applications and infrastructure, legal and regulatory compliance. She was an EBIOS Risk Manager (RM) trainer while she worked for the French government; EBIOS RM is the French method for assessing and treating digital risks. She also had the opportunity to represent France towards European institutions and other relevant stakeholders for topics related to cybersecurity risk management. 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

Data comms training course description A hands on training course introducing the concepts of data communications, moving on to covering both LAN and WAN technology. Quizzes are used extensively to ensure material has sunk in and to maximise learning time. Hands on sessions ensure that by the end of the course delegates have made cables, built LANS and WANS, configured TCP/IP, switches and routers. What will you learn Use the seven layer model to classify networking buzzwords. Build and troubleshoot Ethernet, LAN/WAN and WiFi networks Explain the difference between switches and routers. Connect networks with routers. Data comms training course details Who will benefit: Anyone who requires a technical introduction to networks. Prerequisites: None. Duration 3 days Data comms training course contents What are networks? What is data communications? What are networks? Types of network, LANs, LAN choices, WANs, WAN choices, PANs, SANs, MANs, connecting networks. Internetworks, the internet, clouds. Networks and standards Standards bodies, ISO, ITU, IEEE, IETF, OSI 7 layer reference model, TCP/IP and OSI, ping and the 7 layer model, encapsulation, fragmentation. The physical layer Transmission media: Copper, Fibre, RF, UTP, Cat 5/5e/6/7..., RJ45, straight and cross over cables. Coax, Fibre cable & connectors, SFP, MMF, SMF, radio spectrum, frequencies, ranges, noise and electrical distortion, repeaters. Hands on Cabling, ping. Bandwidth Definition, Bits, bytes, speeds, simplex, half/full duplex, a/symmetrical, aggregation, latency. Calculating bandwidth requirements. The Data Link layer Frames, classifications, standards, LAN/WAN layer 2 technologies (Point to point, virtual circuits). Ethernet What is Ethernet? 802.3, evolution from CSMA/CD, choosing cables, topologies, NICs, MAC addresses. Ethernet frame format. Hands on Analysing Ethernet frames. Ethernet switches Connecting multiple devices, switches work at layer 2, Switches vs. hubs, simultaneous conversations, full duplex, MAC address database, how switches work, switch benefits, loops, STP. Console ports. Hands on Switches and WireShark, configuring switches, broadcast storms, STP. VLANS What are VLANs, why have VLANs. Hands on The effect of VLANs on network traffic. Wireless LANs Type of wireless network. WiFi, 802.11b/g/n/ac, WiFi6, antennae, interference, 802.11 frame format, CSMA/CA, half duplex, Wireless Access Points, security. Hands on Building a WiFi network. WANS WAN architecture, WAN types, service providers, access equipment, DTE, DCE, core equipment, WANs and the 7 layer model, choosing a WAN. WAN access Point to point, multi access, Internet, phone lines, leased lines, xDSL, broadband architecture. DOCSIS, FTTH, PON, SD-WAN. Older technologies (if required): Modems, ISDN, 64k, E1, TDM. Packet switched networks Packet switching, virtual circuits, Hub & spoke, partial & full mesh, MPLS, MPLS and routers, Why MPLS? MPLS -TE, MPLS VPN, Internet VPN. Older technologies (if required). Service provider technologies Transport plane, SDH, SONET, WDM, CWDM, DWDM, DWDM architectures, OTN. TCP/IP Definition, protocols, services, internetworking, the Internet, intranets, IAB, RFCs, IP header, IP addressing, subnet masks, IPv6, TCP, UDP. Hands on IP address and subnet mask configuration. Routers What are routers? Routers vs switches, when to route and when to switch, default gateways, routing tables, static routes, routing protocols. Firewalls, how firewalls work. Hands on Router configuration, tracert. Applications Clients, servers, web, HTTP, Email, resource sharing, IM, VoIP, Video over IP, terminal emulation, ftp, ssh. Hands on telnet

FourSquare Training specialise in private, corporate Power Automate courses delivered at your premises and tailored to your needs.

WHY TAKE THE DOMESTIC ELECTRICAL & SOLAR PV PACKAGE? This 23 Day solar PV training course package is structured to allow you enter an exciting market. After successfully completing this course you will have the skills to install solar PV (Photovoltaic) panels and also the skills to install domestic electrics under supervision, meaning you will have 2 potential ways to generate income. Essentially you will be able to pick and choose between PV or electrical installation jobs with various contractors.  Please note this course runs in Gatwick, however you can complete your Domestic Electrical course in Warrington, Coventry or Leeds and then do the last week at Gatwick. Course Snapshot: This course covers domestic installation and solar PV.  The course breaks down as follows: 15 Days In Centre (Practical & Theory) 3 Days E-Learning 5 Days Virtual Classroom