21468 Disc courses

Unlock Your Potential as a Learning & Skills Teacher with Our Level 5 Course This qualification is for those looking to teach in Further Education and Skills Sector (FES), usually in settings where students are aged 16 and above whether that is in FE colleges (whether general or specialist), independent training providers (ITPs), Adult Community Learning (ACL) providers or offender learning. In their daily work, A learning & Skills teacher interacts with other teachers and FES professionals and students of different ages, abilities, backgrounds, and ambitions. Also interacting with employers and stakeholders. Teachers who are specialists in a particular technical or vocational subject, sector or occupation will typically maintain close working relationships with others working in their industry/sector and keep their own knowledge and skills up to date. Learn about the Cavity Training Learning & Skills Teacher Course This qualification allows candidates to learn, develop and practice the skills required to prepare each of their students for progression to/or within employment or to further study. To deliver to a diverse group of students, including those with special educational needs. Fees This course can be completed as an government funded apprenticeship, through Cavity Training, or as a privately funded course for £4500. You can either pay as a lump sum or alternatively, you can split into 12 instalments. Entry requirements Apprentices without level 2 English and maths will need to achieve this level prior to taking the End-Point Assessment. Structure To achieve the qualification the learner must compile a portfolio of evidence during the on-program period of the apprenticeship, which will typically contain 15 discrete pieces of evidence. Two pieces of evidence should be records of observations of the apprentice teaching, with the accompanying lesson plan, and support materials for the observed lesson. The lesson observations must have been carried out by an experienced teaching practitioner in the capacity of a manager. With a final professional discussion. Knowledge Our course is delivered via live training webinars with specialist tutors. Skills and Behaviours You will be appointed a designated Learning & Skills Tutor, who will coach you through your qualification and complete regular assessments with you to support you to complete your qualification. You will have weekly contact from your Tutor. How we compare with our competitors? Don't just take our word for it, here is what our staff think Bridget I did my course years ago. It was classroom based one night per week. I think I would prefer to be more ‘hands on’ like it is now. Cavity really are a great company to work for. I truly believe that there expertise will ensure the next generation are amazing! Gina I did mine over an apprenticeship but the company my employer used wasn’t great and I didn’t get much support. Although I passed I can only imagine the length that Cavity have gone to to ensure that the students feel supported. As an employee, its super! Enquire Today

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

Networking Microsoft Systems course description A hands-on course covering the network aspects of Microsoft systems. The course progresses from basic TCP/IP tools and configuration settings through to advanced security considerations finishing with an overview of Exchange and IIS. Hands on sessions are based on a choice of Windows Server 2003 or Windows 2000 server and Windows XP or Windows 2000 professional. Customised versions with other Microsoft platforms are also available. What will you learn Design networks with consideration for Microsoft issues such as logons. Design, configure and troubleshoot TCP/IP, DNS, WINS and DHCP. Configure security features such as PKI and IPSec. Describe the Windows TCP/IP implementation details. Networking Microsoft Systems course details Who will benefit: Anyone working with Microsoft systems. Prerequisites: TCP/IP foundation for engineers Supporting Windows ( XP or 2000 or 2003) Duration 5 days Networking Microsoft Systems course contents Configuring network cards PnP, resources, Ethernet cards, wireless cards, dial up networking, other cards, Ethernet settings, layer 2 QoS. Configuring and supporting IP Basic IP settings, advanced IP settings, advanced TCP settings, DrTCP and registry settings, security DHCP DHCP server, authorising the DHCP service, DHCP client, DHCP relays, Address pools, options, lease duration's, Integrating with DNS. Microsoft networking overview Workgroups and domains, Domain controllers, the logon process in a network, the role of Active Directory, synchronisation, protocol stacks and bindings. Accessing file and print resources Shared folders, permissions, network printers, browsing, NetBIOS, SMB. WINS Servers, clients, Client registration, renewing and releasing of names. NetBIOS node types. DNS1 Overview, Primary and secondary servers, DDNS, zones, resource records. The browser service Master, backup and other browser roles, elections, announcements, recovery from failure, Inter subnet browsing. TCP/IP implementation details Dead gateway detection, Multi homing, multicasting, MTU path discovery, registry settings, QOS and RSVP, Windows as a router, performance implications of Microsoft services. Internet Access Options, NAT, Firewall capabilities and Proxy server, Internet Authentication Service. Remote Access Installing, RAS servers. RAS process, protocols Security: PKI PPTP, L2TP, What is IPSec, configuring IPSec. Security: VPNs PPTP, L2TP, What is IPSec, configuring IPSec. Other Microsoft networking services & tools Netmeeting, instant messaging, white boarding, document collaboration, video conferencing Microsoft Exchange, IIS, Directory replication, SNMP, Net Monitor, integration with other platforms.

Network DevOps course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network DevOps course details Who will benefit: Administrators automating tasks. Prerequisites: TCP/IP Foundation Duration 5 days Network DevOps course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles aConfiguration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip instal. Hands on Python programming with pyping. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install. Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Network automation course description This course is not a soft skills course covering the concepts of DevOps but instead concentrates on the technical side of tools and languages for network DevOps. Particular technologies focussed on are ansible, git and Python enabling delegates to leave the course ready to starting automating their network. Hands on sessions follow all major sections. More detailed courses on individual aspects of this course are available. What will you learn Evaluate network automation tools. Automate tasks with ansible. Use git for version control. Use Python to manage network devices. Use Python libraries for network devices. Network automation course details Who will benefit: Network engineers. Prerequisites: TCP/IP foundation for engineers. Duration 5 days Network automation course contents What is DevOps Programming and automating networks, networks and clouds, AWS, OpenStack, SDN, DevOps for network operations. Initial configuration Configuring SSH, ZTP, POAP. Hands on Initial lab configuration. Getting started with ansible The language, the engine, the framework. Uses of ansible, orchestration. The architecture, Controlling machines, nodes, Agentless, SSH, modules. Configuration management, inventories, playbooks, modules, roles. Hands on Installing ansible, running ad hoc commands. Ansible playbooks ansible-playbook, YAML, plays, tasks, handlers, modules. Playbook variables. Register module, debug module. Hands on Running playbooks. Ansible Inventories /etc/ansible/hosts, hosts, groups, static inventories, dynamic inventories. Inventory variables, external variables. Limiting hosts. Hands on Static inventories, variables in inventory files. Ansible modules for networking Built in modules, custom modules, return values. Core modules for network operations. Cisco and/ or Juniper modules. ansible_connection. Ansible 2.6 CLI. Hands on Using modules. Ansible templating and roles Configuration management, full configurations, partial configurations. The template module, the assemble module, connection: local, Jinja2 templates, variables, if, for, roles. Hands on Generating multiple configurations from a template. Network programming and modules Why use Python? Why use ansible? alternatives, ansible tower, Linux network devices. Programming with Python Scripting versus application development, Python interactive mode, Python scripts, Python 2.7 vs Python 3. A simple Python script. Variables, loops, control statements, operators. PEP style guide. Python IDEs. Hands on Simple Python programs. More Python programming Functions. Classes, objects and instances, modules, libraries, packages. Python strings, Python file handling, pip list, pip install, Hands on Python programming with pyping. Git Distributed version control, repositories, Git and GitHub, Alternatives to GitHub, Installing git, git workflows, creating repositories, adding and editing files, branching and merging, merge conflicts. Hands on working with Git. Python and networking APIs, Sockets, Telnetlib, pysnmp, ncclient, ciscoconfparse. Paramiko SSH and Netmiko Integrating Python and network devices using SSH. Netmiko, Netmiko methods. Hands on Netmiko. PyEZ Juniper, NETCONF, installing PyEZ, a first pyEZ script, pyEZ configuration management. Hands on Juniper configuration management with pyEZ. NAPALM What is NAPALM, NAPALM operations, getters, Replace, merge, compare, commit, discard. Hands on Configuration with NAPALM. Integrating ansible and NAPALM. Python and REST REST APIs, enabling the REST API. Accessing the REST API with a browser, cURL, Python and REST, the request library. Hands on Using a REST API with network devices.

Making your Museum Accessible to Low Income Families   In partnership with Children North East   This is a recording of a session which took place Wednesday 6 March, 10am-12.30pm You will have access to the recording to watch and revisit until 3rd October 2024.   Do you want to understand your audiences that are experiencing poverty better? Do you need dedicated time for your staff to understand the barriers faced by those experiencing poverty to accessing cultural spaces?   About this webinar   Both Kids in Museums and Children North East will share their insights into some of the barriers faced by families experiencing poverty when it comes to connecting with cultural spaces, and why this understanding is so important for all of us in the cultural sector.    This webinar will be led by Alison Bowyer, Executive Director of Kids in Museums, and Chloe Maclellan, Poverty Proofing Team Manager Communities, Early Years, Arts and Culture at Children North East.   They will be joined by Georgina Ascroft from Culture Hartlepool and Rebecca Maw from Jarrow Hall Anglo Saxon Farm, Village, and Bede Museum. Both Georgina and Rebecca will share some of their learning gained from the Poverty Proofing© process.   The session will help delegates to: deepen their understanding of poverty in the UK start to explore the connection between poverty and cultural space gain insight into how poverty can impact a family’s chances of engaging with cultural places think about how considerations around poverty impact on the experiences we provide to families in our own organisations. Take a look at the full schedule   About the trainers Alison is committed to Kids in Museums’ mission that all children, young people and families should be able to visit UK museums and feel welcome. Poverty is growing in prevalence as a barrier to a family museum visit and Kids in Museums wants to raise awareness about how to address this.    Chloe is a strong advocate for positive change fuelled by community voice, working in partnership with organisations to engage in Poverty Proofing© interventions to bring about this change as well as engaging in strategic partnerships to spread awareness and understanding of Poverty in the UK.    Who should attend? This training is aimed at staff and leaders who work in museums, art galleries, heritage sites, and cultural and arts spaces, who are interested in developing and enriching their current offer with a better understanding of audiences experiencing poverty.

Securing Linux systems training course description This course teaches you everything you need to know to build a safe Linux environment. The first section handles cryptography and authentication with certificates, openssl, mod_ssl, DNSSEC and filesystem encryption. Then Host security and hardening is covered with intrusion detection, and also user management and authentication. Filesystem Access control is then covered. Finally network security is covered with network hardening, packet filtering and VPNs. What will you learn Secure Linux accounts. Secure Linux file systems. Secure Linux access through the network. Securing Linux systems training course details Who will benefit: Linux technical staff needing to secure their systems. Prerequisites: Linux system administration (LPIC-1) Duration 5 days Securing Linux systems training course contents Cryptography Certificates and Public Key Infrastructures X.509 certificates, lifecycle, fields and certificate extensions. Trust chains and PKI. openssl. Public and private keys. Certification authority. Manage server and client certificates. Revoke certificates and CAs. Encryption, signing and authentication SSL, TLS, protocol versions. Transport layer security threats, e.g. MITM. Apache HTTPD with mod_ssl for HTTPS service, including SNI and HSTS. HTTPD with mod_ssl to authenticate users using certificates. HTTPD with mod_ssl to provide OCSP stapling. Use OpenSSL for SSL/TLS client and server tests. Encrypted File Systems Block device and file system encryption. dm-crypt with LUKS to encrypt block devices. eCryptfs to encrypt file systems, including home directories and, PAM integration, plain dm-crypt and EncFS. DNS and cryptography DNSSEC and DANE. BIND as an authoritative name server serving DNSSEC secured zones. BIND as an recursive name server that performs DNSSEC validation, KSK, ZSK, Key Tag, Key generation, key storage, key management and key rollover, Maintenance and resigning of zones, Use DANE. TSIG. Host Security Host Hardening BIOS and boot loader (GRUB 2) security. Disable useless software and services, sysctl for security related kernel configuration, particularly ASLR, Exec-Shield and IP / ICMP configuration, Exec-Shield and IP / ICMP configuration, Limit resource usage. Work with chroot environments, Security advantages of virtualization. Host Intrusion Detection The Linux Audit system, chkrootkit, rkhunter, including updates, Linux Malware Detect, Automate host scans using cron, AIDE, including rule management, OpenSCAP. User Management and Authentication NSS and PAM, Enforce password policies. Lock accounts automatically after failed login attempts, SSSD, Configure NSS and PAM for use with SSSD, SSSD authentication against Active Directory, IPA, LDAP, Kerberos and local domains, Kerberos and local domains, Kerberos tickets. FreeIPA Installation and Samba Integration FreeIPA, architecture and components. Install and manage a FreeIPA server and domain, Active Directory replication and Kerberos cross-realm trusts, sudo, autofs, SSH and SELinux integration in FreeIPA. Access Control Discretionary Access Control File ownership and permissions, SUID, SGID. Access control lists, extended attributes and attribute classes. Mandatory Access Control TE, RBAC, MAC, DAC. SELinux, AppArmor and Smack. etwork File Systems NFSv4 security issues and improvements, NFSv4 server and clients, NFSv4 authentication mechanisms (LIPKEY, SPKM, Kerberos), NFSv4 pseudo file system, NFSv4 ACLs. CIFS clients, CIFS Unix Extensions, CIFS security modes (NTLM, Kerberos), mapping and handling of CIFS ACLs and SIDs in a Linux system. Network Security Network Hardening FreeRADIUS, nmap, scan methods. Wireshark, filters and statistics. Rogue router advertisements and DHCP messages. Network Intrusion Detection ntop, Cacti, bandwidth usage monitoring, Snort, rule management, OpenVAS, NASL. Packet Filtering Firewall architectures, DMZ, netfilter, iptables and ip6tables, standard modules, tests and targets. IPv4 and IPv6 packet filtering. Connection tracking, NAT. IP sets and netfilter rules, nftables and nft. ebtables. conntrackd Virtual Private Networks OpenVPN server and clients for both bridged and routed VPN networks. IPsec server and clients for routed VPN networks using IPsec-Tools / racoon. L2TP.

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.

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About this training course Artificial lift systems are an important part of production operations for the entire lifecycle of an asset. Often, oil and gas wells require artificial lift for most of the life cycle. This 5-day training course offers a thorough treatment of artificial lift techniques including design and operation for production optimization. With the increasing need to optimize dynamic production in highly constrained cost environments, opportunities and issues related to real-time measurements and optimization techniques needs to be discussed and understood. Artificial lift selection and life cycle analysis are covered. These concepts are discussed and reinforced using case studies, quizzing tools, and exercises with software. Participants solve examples and class problems throughout the course. Animations and videos reinforce the concepts under discussion. Understanding of these important production concepts is a must have to exploit the existing assets profitably. Unique Features: Hands-on usage of SNAP Software to solve gas-lift exercises Discussion on digital oil field Machine learning applications in gas-lift optimization Training Objectives After the completion of this training course, participants will be able to: Understand the basics and advanced concepts of each form of artificial lift systems including application envelope, relative strengths, and weaknesses Easily recognize the different components from downhole to the surface and their basic structural and operational features Design and analyze different components using appropriate software tools Understand challenges facing artificial lift applications and the mitigation of these challenges during selection, design, and operation Learn about the role of digital oilfield tools and techniques and their applications in artificial lift and production optimization Learn about use cases of Machine learning and artificial intelligence in the artificial lift Target Audience This training course is suitable and will greatly benefit the following specific groups: Production, reservoir, completion, drilling and facilities engineers, analysts, and operators Anyone interested in learning about selection, design, analysis and optimum operation of artificial lift and related production systems will benefit from this course. Course Level Intermediate Advanced Training Methods The training instructor relies on a highly interactive training method to enhance the learning process. This method ensures that all participants gain a complete understanding of all the topics covered. The training environment is highly stimulating, challenging, and effective because the participants will learn by case studies which will allow them to apply the material taught in their own organization. Course Duration: 5 days in total (35 hours). Training Schedule 0830 - Registration 0900 - Start of training 1030 - Morning Break 1045 - Training recommences 1230 - Lunch Break 1330 - Training recommences 1515 - Evening break 1530 - Training recommences 1700 - End of Training The maximum number of participants allowed for this training course is 20. This course is also available through our Virtual Instructor Led Training (VILT) format. Prerequisites: Understanding of petroleum production concepts. Each participant needs a laptop/PC for solving class examples using software to be provided during class. Laptop/PC needs to have a current Windows operating system and at least 500 MB free disk space. Participants should have administrator rights to install software. Trainer Your expert course leader has over 35 years' work-experience in multiphase flow, artificial lift, real-time production optimization and software development/management. His current work is focused on a variety of use cases like failure prediction, virtual flow rate determination, wellhead integrity surveillance, corrosion, equipment maintenance, DTS/DAS interpretation. He has worked for national oil companies, majors, independents, and service providers globally. He has multiple patents and has delivered a multitude of industry presentations. Twice selected as an SPE distinguished lecturer, he also volunteers on SPE committees. He holds a Bachelor's and Master's in chemical engineering from the Gujarat University and IIT-Kanpur, India; and a Ph.D. in Petroleum Engineering from the University of Tulsa, USA. Highlighted Work Experience: At Weatherford, consulted with clients as well as directed teams on digital oilfield solutions including LOWIS - a solution that was underneath the production operations of Chevron and Occidental Petroleum across the globe. Worked with and consulted on equipment's like field controllers, VSDs, downhole permanent gauges, multiphase flow meters, fibre optics-based measurements. Shepherded an enterprise-class solution that is being deployed at a major oil and gas producer for production management including artificial lift optimization using real time data and deep-learning data analytics. Developed a workshop on digital oilfield approaches for production engineers. Patents: Principal inventor: 'Smarter Slug Flow Conditioning and Control' Co-inventor: 'Technique for Production Enhancement with Downhole Monitoring of Artificially Lifted Wells' Co-inventor: 'Wellbore real-time monitoring and analysis of fracture contribution' Worldwide Experience in Training / Seminar / Workshop Deliveries: Besides delivering several SPE webinars, ALRDC and SPE trainings globally, he has taught artificial lift at Texas Tech, Missouri S&T, Louisiana State, U of Southern California, and U of Houston. He has conducted seminars, bespoke trainings / workshops globally for practicing professionals: Companies: Basra Oil Company, ConocoPhillips, Chevron, EcoPetrol, Equinor, KOC, ONGC, LukOil, PDO, PDVSA, PEMEX, Petronas, Repsol, , Saudi Aramco, Shell, Sonatrech, QP, Tatneft, YPF, and others. Countries: USA, Algeria, Argentina, Bahrain, Brazil, Canada, China, Croatia, Congo, Ghana, India, Indonesia, Iraq, Kazakhstan, Kenya, Kuwait, Libya, Malaysia, Oman, Mexico, Norway, Qatar, Romania, Russia, Serbia, Saudi Arabia, S Korea, Tanzania, Thailand, Tunisia, Turkmenistan, UAE, Ukraine, Uzbekistan, Venezuela. Virtual training provided for PetroEdge, ALRDC, School of Mines, Repsol, UEP-Pakistan, and others since pandemic. POST TRAINING COACHING SUPPORT (OPTIONAL) To further optimise your learning experience from our courses, we also offer individualized 'One to One' coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster. Request for further information post training support and fees applicable Accreditions And Affliations