662 Courses in London

Cloud technologies training course description This course provides an introduction to cloud technologies, including, configuration and deployment, security, maintenance, and management. It covers all aspects of cloud computing infrastructure. It will help you to master the fundamental concepts, terminology, and characteristics of cloud computing. . What will you learn Contrast and compare AWS, GCP and Azure. Explain the different cloud services, models and characteristics. Explain cloud virtualization components and options. Explain cloud security options. Describe cloud automation, orchestration, monitoring and performance options. Cloud technologies training course details Who will benefit: Anyone working with or looking to work with cloud technologies. Prerequisites: None. Duration 2 days Cloud technologies training course contents What is the cloud? The Internet Cloud computing Benefits Disadvantages Cloud services IaaS, PaaS, SaaS, others. Cloud service providers AWS, GCP Microsoft Azure, others Cloud architectures Private, public, hybrid others Cloud based delivery The cloud and virtualization Virtual Machines, networks, storage, deployment. Accessing the Virtual Machine Secure cloud environments Security considerations. Data privacy considerations Automation and orchestration Monitoring and performance Performance Cost issues Cost containment

Advanced Kibana training course description This training course is aimed at users who already have some experience with Kibana, who are looking to further their knowledge. What will you learn Lens Timelion Maps Custom Visualisations with Vega Canvas Filters and Controls Drilldown and Dashboards KQSL and ElasticQueries Scripted and RunTime Fields Alerts and Alarms Advanced Kibana training course details Who will benefit: Users who already have some experience with Kibana, who are looking to further their knowledge. Prerequisites: None Duration 1 day Advanced Kibana training course contents Topics Lens Visualisation types (tables,bars,charts) Category breakdown Adding multiple metrics Using formulas in metrics Labels Adding reference layer Limitations Visualise Library Timeseries, Metrics Different types of aggregations Maps GeoMapping Heat Maps Using ES index as data source Visualisation, tool tips Custom Visualisations with Vega Introduction to vega scripting Canvas Widgets and Texts Elasticsearch SQL Canvas Expressions Filters and Controls Dropdown filters Ad-hoc filters Searchbar filters Drilldown Dashboards Linking one dashboard to another KQSL and ElasticQueries Bool Query AND/OR Phrase Part match vs keyword search Wildcard search Scripted and RunTime Fields Creating ad-hoc calculated fields using scripts Performance issues Alerts and Alarms Query Based Formatting output Connector types(email,index,teams etc)

Learn the safe and precise technique of microsuctioning for earwax and foreign object removal with our comprehensive course for healthcare professionals.

This is a highly interactive programme designed by the communication experts at TCM. The course helps learners to develop essential skills for everyday management. On this programme, delegates learn how to navigate the complex maze of having difficult conversations, managing performance, and giving bad news. Offering a proactive and hands on approach to teaching, the TCM trainers equip delegates with the confidence to have those crucial conversations, to prevent disputes before they escalate out of control and, to be assertive in addressing performance issues to achieve engagement and sustainable outcomes.

Why Learn Autodesk Maya Basics to Advanced Level Course? Course info. Autodesk Maya is one of the best tools for 3D animation and visual effects. Learn Maya with our training courses covering sectors like Architecture, Games & Films, Animation, and Media. London Design Training Courses empower you to master Maya, transforming your 3d skills.  Duration: 40 hrs Method: 1-on-1. Schedule: Tailor your own schedule by pre-booking a convenient hour of your choice, available from Mon to Sat 9 am and 7 pm. Experience advanced-level Maya training covering essential aspects such as modeling, UV mapping, texturing, lighting, camera movement, and rigging. The course is tailored to your specific requirements and work preferences. You can discuss your learning goals with our trainer, and we will suggest a syllabus that meets your needs. Flexible Training Options: Choose in-class training at one of our UK center or attend live online sessions. Certified Tutors and Authoritative: London Design Training Course has all Autodesk Authorized Trainers. Hands-on Learning Approach: The training is practical and hands-on, combining theory and step-by-step demonstrations. You'll have ample time to practice techniques on your computer with Maya, and you can keep all the files you create. Compatible with Windows and Mac: Maya training is available for both Windows and Mac users, with options to suit any recent version of Maya. Maya Basic to Advanced Course Duration: 40 hours Course Description: In this course, you will learn the fundamental and advanced skills to create complex 3D models and animations using Autodesk Maya software. You will gain knowledge of the Maya interface, tools, and workflow. You will learn the essentials of modeling, texturing, rigging, animating, and rendering 3D models. You will also learn how to create advanced special effects and understand advanced modeling techniques. I. Introduction to Maya (3 hours) Overview of Maya and its Uses Maya interface and basic tools Navigation and viewport controls Creating and saving projects II. Basic Polygon Modeling (6 hours) Polygon modeling basics Creating basic shapes and objects Editing and modifying objects Creating complex objects with extrusions and bevels Creating organic shapes with NURBS III. Intermediate Modeling (6 hours) Advanced polygon modeling techniques Creating complex models with Booleans and deformers Creating and modifying curves and surfaces Creating organic shapes with sculpting tools Creating architectural models IV. Texturing and Materials (6 hours) Introduction to texturing Creating and applying materials Texture mapping and UV unwrapping Creating realistic materials with shaders Painting textures with the 3D paint tool V. Lighting and Rendering (6 hours) Basic lighting techniques Advanced lighting techniques Creating realistic lighting environments Setting up a camera and creating a composition Rendering still images and animations Output options and file formats VI. Animation (9 hours) Introduction to animation Keyframe animation and animation curves Creating and editing animation clips Rigging and animating a simple character Creating and editing motion paths and animation layers Creating complex character rigs Creating lip sync and facial animation Creating realistic animation with dynamics and simulations Cloth Animation Ncloth VII. Rigging (4 hours) Introduction to rigging Creating joints and skeletons Binding skin to joints and creating weight maps Creating simple rigging systems and rigging a character Creating complex rigging systems VIII. Special Effects (4 hours) Particle systems and dynamics Creating and manipulating fluids and fire effects Creating and editing special effects like explosions and smoke Creating advanced simulations with nCloth and nParticles Paint effects Mash Networks and Mash Animation IX. Advanced Rendering Techniques (2 hours) Render layers and passes Global illumination and ambient occlusion Mental Ray rendering and settings X. Conclusion and Next Steps (1 hour) Review of course content Tips for further learning and resources Q&A; and feedback Note: The above course outline is just a suggestion, and the course content and duration can be adjusted according to the needs and level of the learners. Proficiency in Advanced Maya Techniques: Participants will gain advanced skills in various aspects of Maya, including modeling, UV mapping, texturing, lighting, camera movement, and rigging. Tailored Training: The course is customized to meet the specific requirements of participants, focusing on their preferred techniques and work type. Hands-On and Practical Experience: The training is practical and hands-on, allowing participants to practice techniques on their own computers with Maya. Versatility in Operating Systems: Participants will be equipped to use Maya on both Windows and Mac systems. Accredited Certification: Upon successful completion, participants will receive an e-certificate, accredited by Autodesk Certified instructor, confirming their achievement in the Maya training course. Post-Course Support: After the training, participants are entitled to 30 days of email support from their Maya trainer, ensuring assistance with any post-course questions or issues. Up-to-Date and Relevant Learning: The training can be based on any recent version of Maya, providing participants with up-to-date knowledge and skills.

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About this Virtual Instructor Led Training (VILT) This 5 half-day Virtual Instructor Led Training (VILT) course will assist energy professionals in the planning and operation of a power system from renewable energy sources. The VILT course will discuss key operating requirements for an integrated, reliable and stable power system. The unique characteristics of renewable energy are discussed from a local, consumer centric and system perspective, bringing to life the ever-changing paradigm in delivering energy to customers. The course will explore the technical challenges associated with interconnecting and integrating hundreds of gigawatts of solar power onto the electricity grid in a safe and reliable way. With references to international case studies, the VILT course will also demonstrate the state of the art methodologies used in forecasting solar power. The flexibility of the invertor-based resources will facilitate higher penetrations of photovoltaic, battery electricity storage systems and demand response while co-optimizing customer resources. The contribution of inverter-based generators that provides voltage support, frequency response and regulation (droop response), reactive power and power quality with a high level of accuracy and fast response will be addressed. Furthermore, this VILT course will also describe how microgrids' controllers can allow for a fully automated energy management. Distributed energy resources are analyzed in detail from a technical and financial aspect and will address the best known cost based methodologies such as project financing and cost recovery. Training Objectives Upon completion of this VILT course, participants will be able to: Learn about renewable energy resources, their applications and methods of analysis of renewable energy issues. Review the operational flexibility of renewable energy at grid level, distribution network and grid edge devices. Understand and analyze energy performance from main renewable energy systems. Get equipped on the insights into forecasting models for solar energy. Predict solar generation from weather forecasts using machine learning. Explore operational aspects of a complex power system with variability from both the supply & demand sides. Manage the impact of the design of a Power Purchase Agreement (PPA) on the power system operation. Target Audience Engineers, planners and operations professionals from the following organizations: Energy aggregators who would like to understand the system operations of renewable energy power plants Renewable energy power system operator Energy regulatory agencies who aim to derive strategies and plans based on the feedback obtained from the power system operations Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total). Trainer Your first expert course leader is a Utility Executive with extensive global experience in power system operation and planning, energy markets, enterprise risk and regulatory oversight. She consults on energy markets integrating renewable resources from planning to operation. She led complex projects in operations and conducted long term planning studies to support planning and operational reliability standards. Specializing in Smart Grids, Operational flexibilities, Renewable generation, Reliability, Financial Engineering, Energy Markets and Power System Integration, she was recently engaged by the Inter-American Development Bank/MHI in Guyana. She was the Operations Expert in the regulatory assessment in Oman. She is a registered member of the Professional Engineers of Ontario, Canada. She is also a contributing member to the IEEE Standards Association, WG Blockchain P2418.5. With over 25 years with Ontario Power Generation (Revenue $1.2 Billion CAD, I/S 16 GW), she served as Canadian representative in CIGRE, committee member in NSERC (Natural Sciences and Engineering Research Council of Canada), and Senior Member IEEE and Elsevier since the 90ties. Our key expert chaired international conferences, lectured on several continents, published a book on Reliability and Security of Nuclear Power Plants, contributed to IEEE and PMAPS and published in the Ontario Journal for Public Policy, Canada. She delivered seminars organized by the Power Engineering Society, IEEE plus seminars to power companies worldwide, including Oman, Thailand, Saudi Arabia, Malaysia, Indonesia, Portugal, South Africa, Japan, Romania, and Guyana. Your second expert course leader is the co-founder and Director of Research at Xesto Inc. Xesto is a spatial computing AI startup based in Toronto, Canada and it has been voted as Toronto's Best Tech Startup 2019 and was named one of the top 10 'Canadian AI Startups to Watch' as well as one of 6th International finalists for the VW Siemens Startup Challenge, resulting in a partnership. His latest app Xesto-Fit demonstrates how advanced AI and machine learning is applied to the e-commerce industry, as a result of which Xesto has been recently featured in TechCrunch. He specializes in both applied and theoretical machine learning and has extensive experience in both industrial and academic research. He is specialized in Artificial Intelligence with multiple industrial applications. At Xesto, he leads projects that focus on applying cutting edge research at the intersection of spatial analysis, differential geometry, optimization of deep neural networks, and statistics to build scalable rigorous and real time performing systems that will change the way humans interact with technology. In addition, he is a Ph.D candidate in the Mathematics department at UofT, focusing on applied mathematics. His academic research interests are in applying advanced mathematical methods to the computational and statistical sciences. He earned a Bachelor's and MSc in Mathematics, both at the University of Toronto. Having presented at research seminars as well as instructing engineers on various levels, he has the ability to distill advanced theoretical concept to diverse audiences on all levels. In addition to research, our key expert is also an avid traveler and plays the violin. 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

Frame Relay training course description A comprehensive look at Frame Relay, particularly with reference to a IP routed environment. Note this course is run as a workshop and therefore the contents are flexible. What will you learn Recognise the issues of using Frame Relay Describe Frame Relay. Configure a Cisco router to use Frame relay. Frame Relay training course details Who will benefit: Anyone working with Frame Relay. Prerequisites: Intro to data communications & networking Duration 1 day Frame Relay training course contents Introduction Packet switched networks, PVCs, SVCs. Topologies, Full mesh, partial mesh, Hub and spoke. Basics DLCI, CIR, LMI, the local loop. Configuring routers for Frame Relay Inverse ARP, static mappings, subinterfaces More Frame Relay Burst rates, FECN, BECN, the DE bit, Traffic shaping. Voice Over Frame Relay

Total sFlow training course description A comprehensive hands on course covering sFlow. The course starts with the basics of flows moving swiftly onto configuring sFlow and studying the information it provides. What will you learn Describe sFlow. Use Nmap. Recognise how sFlow can be used. Describe the issues in using sFlow. Compare SFlow with SNMP and NetFlow. Total sFlow training course details Who will benefit: Technical staff working with sFlow. Prerequisites: TCP/IP foundation for engineers. Duration 1 day Total sFlow training course content What is SFlow? Where to monitor traffic. Packet based sampling, Time based sampling. Adaptive sampling. Flow samples, Counter samples. Hands on Wireshark flow analysis. Getting started with sFlow sFlow configuration. Enabling sFlow. Per interface. Hands on Accessing sFlow data using the CLI. sFlow architecture SFlow agents and collectors. When flows are exported. Distributed sFlow architecture, subagents. sFlow reporting products. SolarWinds. Hands on Collector software. sFlow features and benefits Troubleshooting with sFlow, controlling congestion, security and audit trail analysis. Hands on Using sFlow. sFlow versus other technologies Flows. sFlow impact and scalability. sFlow versus SNMP and RMON, SFlow versus NetFlow/IPFIX. Hands on Advanced sFlow configuration.

Total SPB training course description A comprehensive look at Service Provider Bridging (SPB) as standardised in 802.1aq. This SPB course starts with the problems in traditional switched networks then moves onto to how SPB solves these problems. As IS-IS is key to loop free topologies in SPB networks, this protocols is also studied. What will you learn Explain the benefits of SPB. Explain how SPB works. Explain the role of IS-IS in SPB. Integrate SPB into existing networks. Total SPB training course details Who will benefit: Technical staff working with Ethernet. Prerequisites: Definitive Ethernet switching for engineers Duration 1 day Total SPB training course contents What is SPB? Layer 2 versus Layer 3, STP problems: One path, convergence, MAC explosion. Virtualisation issues: VRF. Service Provider Bridging (SPB), 802.1aq. Virtual Services Network. SPB variants 802.1Q, 802.1ad, Q-in-Q, VLAN IDs, 802.1ah, M-in-M, I-SID. SPBV, SPBM. SPBM frame format. How SPB works Node ID, Backbone Edge Bridges, Backbone MAC address, Customer MACs, I-SID. IS-IS. Forwarding database. VSN. IS-IS Link layer IS-IS, SPF trees, traffic management. IS-IS extensions for SPB. ISIS TLV. SPB services Data centre bridging, server virtualisation, multitenant applications. Integration of SPB into existing networks. VLAN to ISID mappings. Inter ISID routing, IP/SPB Layer 3 VRF extensions. Miscellaneous Multicast in SPB environments. Source specific multicast trees. SPB configuration. SPB deployment considerations.