301 Courses in Leeds

Mobile comms training course description A complete overview of mobile communications covering all the major technologies in a 2-day format. What will you learn GSM GPRS UMTS LTE Alternative mobile strategies Mobile comms training course details Who will benefit: Anyone involved in mobile communications. Prerequisites: None. Duration 2 days Mobile comms training course contents Introduction Telephony, RF, mobile and wireless technologies, distances, mobile phone generations, base stations, cells, frequencies, cell types, MSC, handoffs, channels, internetworking, the Internet, wireless Internet access. UK operators, worldwide operators. GSM What is it? Timeline, digitising voice, channels, GSM architecture, Abis, A, Um, MS, BTS, BSC, MSC, HLR, VLR, EIR, AuC. Radio link aspects, GSM signalling overview, signalling protocols, roaming, GSM call flows, authentication. IMEI. SIM cards. GPRS What it is, 2G to 3G, GPRS user features, GPRS network features, GPRS elements, GPRS architecture, overlay, SGSN, GGSN, GPRS ATTACH, GPRS protocol stack, GPRS timeslots, EDGE, GPRS classes, GPRS routing, GPRS packet format. UMTS and 3G What is 3G? IMT-2000, 3G proposals, what is UMTS? Speed comparison, evolution to 3G, CDMA, CDMA 2000, W-CDMA, UMTS components, UMTS infrastructure, RNC, Node B, network architecture, packet switched attach, mobility in 3G, HSDPA. LTE and 4G LTE architecture and principles, Physical layer, Air interface, E-UTRAN, Evolved packet core, service provision. Other wireless solutions Integration of services, Bluetooth, Blackberry, VoIP, Mobile IP, 802.11, WiFi, 802.16, WiMax, What is 5G?

IP broadcast training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IP broadcast training course details Who will benefit: Anyone working in broadcast. Prerequisites: TCP/IP foundation for engineers Duration 3 days IP broadcast training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP

IPTV training course description A current hot topic in recent years has been the provision of multimedia services over IP networks aka triple or quadruple play. This course investigates the characteristics of video transmission and then studies the impact on IP networks. What will you learn Use Wireshark to analyse and troubleshoot TV streams. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate IPTV technologies. Design data networks, which will support IPTV. IPTV training course details Who will benefit: Anyone working with IPTV. Prerequisites: TCP/IP Foundation for engineers Intro to data communications & networking. Duration 3 days IPTV training course contents What is IPTV? What is IP? What is TV? Pixels, frames, colour, digital modulation, digital video broadcasting. SDTV, HDTV, 4K. IPTV architectures, Contribution, distribution, delivery. IPTV standards. Hands on Base IP connectivity, VLC. IPTV protocol stacks IP, TCP, UDP, RTP. IPv6. HTTP. Bandwidth requirements. Hands on IPTV bandwidth calculations. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands on Analysing MPEG frames. IP issues Quality vs. bandwidth. Bandwidth, delay, latency, jitter, signalling. Routers. Hands on Analysing jitter and other performance issues. IPTV performance and QoS IP DSCP field, queuing strategies; FIFO, WFQ, custom, priority, RED. Differentiated services, Diffserv. 802.1Q. Traffic shaping. QoE. Hands on best effort versus prioritisation. UDP versus TCP Reliable, unreliable, connection oriented, connectionless. Broadcasts, multicasts and unicasts. TCP flow control, TCP and performance. Hands on TCP window sizes. RTP RTP, ports, mixers, translators, RTCP, SMPTE, FEC. Hands on RTP analysis with Wireshark. Multicasting Multicasting compared to unicasting and broadcasting, when to use and when not to use multicasting. IGMP, PIM-SM, SSM. MLD. Hands on Analysing multicast streams. OTT TV HTTP, HTTPS, Chunked HTTP. Adaptive streaming. HTML5. DASH vs HLS. Hands on Analysing HTTP streams. Security Firewalls, TLS, DRM, watermarking. Encryption. Geolocation. VPNs. IPTV architecture and other protocols Content providers, Service providers, delivery networks, home networks. Caching, Service discovery. RTSP. SAP, SDP. DHCP, DNS, NTP Hands on Fixing the network.

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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.

VoIP training course description Convergence of voice and data is now a common place mainstream technology. Our Voice Over IP course investigates the characteristics of voice transmission and then studies the impact on IP networks. Practical sessions with soft phones, hard phones and gateways allow the students to see all aspects of VoIP. Network analysers are used to study packets on the wire. What will you learn Describe the issues of voice and data convergence. Describe techniques, which can be used in IP to provide low uniform delay. Evaluate VoIP technologies. Design data networks, which will support voice. VoIP training course details Who will benefit: Anyone working in the field of networking or telecommunications. Prerequisites: TCP/IP foundation for engineers Intro to data communications & networking Duration 3 days VoIP training course contents What is VoIP Voice over IP, brief review of IP, brief review of telephones and voice. Configuring IP softphones What are softphones? Downloading, installing. Hands on Building the base IP network, a simple VoIP call with softphones, Internet telephony. Addressing E164, FQDN, IP addresses, URIs, DNS, SIP addressing, H.323 addressing. VoIP issues Bandwidth, Delay, Jitter, digitising voice, digitisation steps, coding, quality issues, MOS, voice compression, silence suppression, packetising voice, prioritising voice, jitter buffers. Hands on Simple packet analysis. Architectures Desktop, backbone, gateway, hard phones, PoE, integrating phones and PCs, carriers, Softswitches. Hands on Integrating Softphones, hard phones and analog phones. IP performance and QoS ITU delay recommendations, IP DSCP field, DiffServ, IP precedence, queuing strategies; FIFO, WFQ, custom, priority, RED, LLQ. VoIP protocol stack RTP, RTCP, mixers and translators, RSVP. Bandwidth, Erlang models, link layer overhead. Hands on Calculating VoIP bandwidth, analysing RTP packets. ITU Recommendation H.323 Architecture, protocols, terminals, Call setup, Gatekeepers, gateway discovery, H.323 registration with a gatekeeper. Hands on PC to PC using H.323. IETF - Session Initiation Protocol What is SIP? SIP protocol stack, SDP, Sip architecture, SIP messages, Initial SIP phone startup, SIP servers, proxy server, redirect server. Hands on PC to PC using SIP. Carrier networks Signalling systems, SS7, media gateways, Media gateway controllers, signalling gateways, MGCP, Megaco, SIGTRAN. Hands on PSTN interworking. Video over IP Video components, digital video, pictures and audio, video codecs, issues and solutions, video conferencing, multipoint video conferencing, video protocol stack. Appendix 1: Multicasting. Appendix 2: Voice/data integration without IP.

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Lean Six Sigma Green Belt Certification Program: In-House Training This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions. What you Will Learn At the end of this program, you will be able to: Identify strategies for effectively leading high performing process improvement teams Analyze whether projects align with business strategy Apply process improvement methodologies to DMAIC steps, based on real world scenarios Explain ways to appropriately respond to process variation Distinguish among best practice problem solving methodologies Evaluate and effectively communicate data-driven decisions, based on real world scenarios Introduction Lean Six Sigma & quality The vision The methodologies The metric Project Selection Why Projects Random idea generation Targeted idea generation CTQs (Critical to Quality) & projects Project screening criteria Quick improvements Introduction to Define Project Planning Developing the core charter Developing a project charter Facilitation Process Management Business process management Top-down process mapping Voice of the Customer Voice of Customer Stakeholder analysis Communication planning Kicking off the project Define Summary Introduction to Measure Data Collection Fact-based decision making Data sampling Operations definitions Data collection plan Measurement system analysis Graphical Statistics for Continuous Data Meet Six SigmaXL Graphical & statistical tools Data stratification Graphical Statistics for Discrete Data Pareto analysis Dot plots Plotting data over time: Looking for patterns Variation Concepts Variation is reality Special Cause and Common Cause variation Example of standard business reporting Individuals Control Chart Process Capability Genesis of process capability Calculating the metrics of Six Sigma Yield metrics: Measuring process efficiency Cost of Poor Quality The Cost of Poor Quality (COPQ) Cost of Quality categories Calculating the Cost of Poor Quality Measure Summary Introduction to Analyze Process Analysis Introduction to process analysis Value-added analysis Cycle time analysis WIP & pull systems Analyzing bottlenecks and constraints Cause & Effect Analysis Fishbone/Ishikawa diagram 5-Whys analysis Graphical & statistical tools Advanced Analysis Why use hypothesis rests? Hypothesis tests Correlation and regression analysis Analyze Summary Introduction to Improve Solutions Creativity techniques Generating alternative solutions Solution selection techniques Introduction to Design of Experiments Introduction to DOE DOE activity Error Proofing Failure mode & effect analysis Poka-Yoke Project Management Fundamentals Successful teams Project roles Conflict management Standardization Standardization The Visual Workplace 5S Piloting & Verifying Results What is a pilot? Evaluating results Improve Summary Introduction to Control Statistical Process Control Review of Special & Common Cause variation Review of Individual Control Chart P-Chart for discrete proportion data Transition Planning Control plan Project closure Control Summary Summary and Next Steps