1488 Courses in Nottingham

Combined SHR - Hair Removal, IPL - Photo Rejuvenation & 3-Wave Diode Laser Course

About this Virtual Instructor Led Training (VILT) The energy industry has started its journey to be more data centric by embracing the industry 4.0 concept. As a result, data management - which was considered until recently as a back-office service to support geoscience, reservoir management, engineering, production and maintenance - is now given the spotlight! To become an active stakeholder in this important transition in E&P data management, it is necessary to understand the new technical opportunities offered by the Cloud, Artificial Intelligence and how data governance can pave the way towards more reliable and resilient processes within E&P domain. Several key questions that need to be addressed: Why place more focus on data assets? Is data management just about serving geoscientists or engineers with fresh data? What is the value of data management in the E&P sector for decision making? How to convince the data consumers that the data we provide is reliable? Is the data architecture of my organization appropriate and sustainable? The purpose of this 5 half-day Virtual Instructor Led Training (VILT) course is to present the data challenges facing the energy organizations today and see how they practically solve them. The backbone of this course is based on the DAMA Book of Knowledge for Data Management. The main data management activities are described in sequence with a particular focus on recent technological developments. Training Objectives Upon completion of this VILT course, the participants will be able to: Understand why the data asset is now considered as a main asset by energy organizations Appreciate the importance of data governance and become an active stakeholder of it Understand the architecture and implementation of data structure in their professional environment Get familiarized with the more important data management activities such as data security and data quality Integrate their subsurface and surface engineering skills with the data managements concepts This VILT course is unique on several points: All notions are explained by some short presentations. For each of them, a set of video, exercises, quizzes will be provided to help develop an engaging experience between the trainer and the participants A pre-course questionnaire to help the trainer focus on the participants' needs and learning objectives A detailed reference manual A lexicon of terms for data-management Limited class size to encourage the interactivity Target Audience This VILT course is intended for: Junior/new data managers Geoscientists Reservoir engineers Producers Maintenance specialists Construction specialists Human resources Legal Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-days consisting 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 is a geologist by education who has dedicated his career to subsurface data management services. In 2016, he initiated a tech startup dedicated to Data Management using Artificial Intelligence (AI) tools. He is heavily involved in developing business plans, pricing strategies, partnerships, marketing and SEO, and is the co-author of several Machine Learning publications. He also delivers training on Data Management and Data Science to students and professionals. Based in France, he was formerly Vice President, Sales & Marketing at CGG where he was in charge of the Data Management Services strategy, Sales Manager at Spie O&G Services where he initiated the Geoscience technical assistance activities and Product Manager of interactive seismic inversion software design and marketing at Paradigm.       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

Mobile IP training course description A detailed examination of the protocols and architecture of Mobile IP. What will you learn Recognise the benefits of ADSL. Configure and troubleshoot IS-IS. Explain how IS-IS works. Describe the use of Level 1 and Level 2. Design IS-IS networks. Mobile IP course details Who will benefit: Technical staff wanting to learn DNS.Network Administrators. Support personnel. Prerequisites: TCP/IP Foundation Duration 2 days Mobile IP course contents Introduction Quick review of IP, What is Mobile IP? What Mobile IP provides, Mobility requirements, Where Mobile IP is required, where mobile IP is not required, DHCP as an alternative, Proxy ARP as an alternative. Architecture Mobile node, home network, home agent, Foreign agent, Fixed home address, Care of address, Correspondent node, Tunnelling. How Mobile IP works Using two addresses, issues with TCP, discovering the care of address, registering care of address, tunnelling the care of address. The protocols involved. Issues with Mobile IP Routing inefficiencies, Security and firewalls, ingress filtering, QoS. MIP and IPv6 Stateless address configuration, Neighbour discovery, miscellaneous.

Total NetFlow training course description A comprehensive hands on course covering NetFlow. The course starts with the basics of flows moving swiftly onto configuring NetFlow and studying the information it provides. What will you learn Describe NetFlow. Configure generators and collectors. Recognise how NetFlow can be used. Describe the issues in using NetFlow. Compare NetFlow with SNMP, RMON and sflow. Total NetFlow training course details Who will benefit: Technical staff working with NetFlow. Prerequisites: TCP/IP Foundation Duration 2 days Total NetFlow for engineers What is NetFlow? Flows. Where to monitor traffic. Hands on Wireshark flow analysis. Getting started with NetFlow NetFlow configuration. Hands on Accessing NetFlow data using the CLI. NetFlow architecture Generators and collectors. When flows are exported. NetFlow reporting products. SolarWinds. Hands on Collector software. NetFlow features and benefits Real time segment statistics, real time top talkers, traffic matrices. Hands on Traffic analysis with NetFlow. NetFlow issues NetFlow impact, agent resources, server resources, comparing NetFlow with SNMP, RMON and sflow. Hands on Advanced NetFlow configuration. Export formats Flow aging timers, NetFlow versions, export formats, templates, IPFIX. Hands on NetFlow packet analysis. NetFlow MIBs The NetFlow MIB, configuration, retrieving NetFlow statistics. Hands on Integrating NetFlow with SNMP.

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

UNIX shell programming training course description This course has been designed as a follow on course for the XML primer course. The course looks at the use of XSLT in the transforming and styling XML documents. What will you learn Read shell scripts. Write shell scripts. Use different types of quotes. Recognise the role of shell scripts within the UNIX system. UNIX shell programming training course details Who will benefit: Programmers developing programs under UNIX. Anyone working with XML. Administrators Support personnel who wish to find out more about the workings of UNIX or write simple utility programs. Prerequisites: UNIX fundamentals Some programming experience would be useful although not essential. Duration 2 days UNIX shell programming training course contents Review of UNIX fundamentals Basic shell scripts What does the shell do? How are commands executed? Different shells. What is a shell script? Comments, creating shell scripts. Variables Setting variables, using variables, set, scope, export, sourcing, environmental variables, read. Positional parameters 0 to $9, $#, $* and others. shift parameter substitution. Control statements The test command, The if statement, while loops, for loops, The case statement, Special characters, Redirection of errors, here documents, quoting. Arithmetic in shell scripts The expr command. System shell scripts Screen handling The terminfo database The tput comand Avanced issues (optional session) Shell functions, getopts, xargs, debugging shell scripts, portability issues. Extras in the Korn shell. Optimising shell scripts The time command, performance tips.

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?

Intro to SQL training course description A hands on course focusing on the use of SQL. In particular this course does not concentrate on any particular version of SQL but rather enables delegates to recognise the differences found in SQL on different platforms. What will you learn Explain the difference between standard SQL and different flavours. Use SQL statements to query databases. Use SQL statements to define databases. Intro to SQL training course details Who will benefit: Anyone working with databases. Prerequisites: None. Duration 2 days Intro to SQL training course contents What is SQL? What is SQL? History, standards, What is SQL used for? Dialects, ANSI SQL, PL/SQL, Transact SQL, front ends. Database basics RDBMS, Tables. Hands on Investigating a database. Basic SQL commands SQL Overview: SQL DML, SQL DDL, SQL queries. SELECT, WHERE and ORDER BY clauses. Combining conditions. IN, LIKE and BETWEEN. Hands on Querying a database from existing tables. SQL data retrieval Scalar functions. Hands on Selecting data from an existing database. More SQL data retrieval Scalar functions, variations. Aggregate functions, GROUP BY. HAVING. Hands on Selecting data from an existing database. Table joins Multiple tables, joins, keys, inner joins, left joins, right joins. Hands on Selecting data from an existing database. SQL basic data manipulation INSERT, UPDATE, MERGE, DELETE. Transaction controls: COMMIT, ROLLBACK. Hands on Modifying data in tables. SQL Data Definition USE, CREATE, DROP, TRUNCATE, ALTER. Hands on Managing new tables and columns. Data control GRANT, REVOKE. Hands on Defining permissions.

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

Jenkins training course description An introduction to Continuous Integration and development (CI/CD) in network automation using Jenkins. The course focusses specifically on the network Devops case of using Jenkins. What will you learn Explain how Jenkins can help with network automation. Configure Jenkins for network Devops. Use Jenkins for network automation. Jenkins training course details Who will benefit: Network engineers. Prerequisites: TCP/IP Foundation Duration 1 day Jenkins training course contents What is Jenkins? DevOps, CI/CD, version control systems, git, automating execution of tasks, Jenkins job, Jenkins pipeline, Jenkins plugins, CI server. Hands on Installing Jenkins. Example pipeline for network automation YAML, GitHub, Jenkins, ansible, network devices. Hands on Investigating a workflow: Auto deploying network configurations. Configuring Jenkins Code repository, build triggers, gerrit and reviews, build environment. A Jenkins job, build step, post build actions, running a Jenkins job, build log, home directory. Hands on Configuring Jenkins. CI using Jenkins Branches, pipeline, git, the git plugin. Hands on A Jenkins job to poll, build and unit test network configurations.