1520 Courses in Edinburgh

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

SDH training course description Our SDH training course is designed for those with a basic knowledge of the principles of telecommunication digital transmission techniques. An overview of the existing transmission hierarchies and their limitations is provided with an introduction to the Synchronous Digital Hierarchy (SDH). The advantages of SDH are explained fully. What will you learn Identify the major limitations of the PDH network. Outline the advantages of using the SDH. Illustrate the various SDH equipment and network topologies. Describe the principles of the SDH multiplexing structure. SDH training course details Who will benefit: Anyone working with SDH. Prerequisites: It should be noted that this course will assume some basic telecommunication transmission knowledge from the delegates attending. This may be accomplished by attending the Introduction to Telecommunications course. Duration 2 days SDH training course contents Introduction to SDH Timing and synchronisation of digital signals, the plesiochronous digital hierarchy (PDH), the synchronous digital hierarchy (SDH), service protection with SDH SDH Multiplexing Techniques The multiplexing principles of SDH, mapping and aligning a 2Mbit/s tributary into a TU-12, aligning the VC-12 in a TU-12, multiplexing TU-12's into a TUG-2, multiplexing TUG-2's into a TUG-3, multiplexing TUG-3's into a VC-4, the VC-4 path overhead, the STM-1 frame, the AU-4 pointer, the STM-1 section overheads, multiplexer section protection, transmission at rates higher than STM-1, concatenation line transmission functions in SDH SONET Multiplexing Techniques Mapping a DS1 tributary into a virtual tributary, aligning the VT-SPE into a VT frame, mapping the VTGs into a STS-1 SPE, the STS-1 synchronous payload envelope, the STS-1 frame SONET network sections and lines transmissions at higher rates than STS-1 SDH Functions and Facilities SDH network topologies, structure of SDH equipment, synchronisation of SDH networks, protection switching in SDH networks, SDH alarm structure, SDH performance monitoring, testing of SDH, equipment and systems, network management and SDH, asynchronous transfer mode (ATM), future services and technologies OSI Telecommunications Network Management Definition of network management, managing telecom equipment, the managed object library, the management information base, the telecommunications management network (TMN), the Q3 protocol.

Microsoft Access training course description A hands on course providing a solid grounding in Microsoft Access. What will you learn Use and customise the Microsoft Access environment. Select, use and customise queries. Define tables. Design forms and reports. Recognise the use of macros. Microsoft Access training course details Who will benefit: Anyone wishing to work with Microsoft Access. Prerequisites: Database fundamentals Duration 3 days Microsoft Access training course contents Introducing databases Flat file databases, Relational databases, the objects defined in an Access database, planning a simple relational database. Open Access and create a database The database wizards, tables, creating and amending tables, using field properties to improve the quality of data entry and system performance, the primary key. Working in datasheet view View, add, modify and delete records, find records. Advantages and disadvantages of entering data directly into a table. Queries Sort and select records form a single table, advantages and disadvantages of entering data via a query, define simple calculated expressions, use 'Totals' queries. Forms Use the form wizards, basic editing of objects created using the form wizards, Data-entry in form view. Reports Use the report wizard, basic editing of objects created using the report wizard, print reports. The multi table environment Plan and create a related table, define a one-to-many relationship, write multi-table queries and use the 'AutoLookup' feature, use the form wizard to create a subform and carry out data-entry in a main/subform, print and amend reports, use the report wizard to create reports based on multi-table. Relationships Working with one-to-one and one-to-many relationships, recognising and handling many-to-many relationships, referential integrity. Select queries Select queries based on related tables, parameter queries, Crosstab, find unmatched queries and Find Duplicate, the implications of the Join properties in a relational query, conditional expressions, and working with the expression builder. Action queries Make table queries, append queries, update queries, delete queries. Customising forms. Using the Toolbox, calculated controls, Combo and List boxes, query by form, working with form and control properties, domain aggregate functions. Reports Report and control properties, customising sorting and grouping, calculated controls on reports, Sub-reports, editing and altering a report's source. Macros Introduction to macros.

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

The Level 2 NVQ Certificate in Plant Operations (Construction) -Compacting qualification has been developed for achievement in a real workplace environment which means you need to be employed to undertake this qualification. This qualification enables you, the learner, to demonstrate and recognise your skills, knowledge and understanding and to demonstrate your competence in a real workplace environment so you can work in Compacting within the construction industry. You will be assessed against a set of performance and knowledge statements which have been derived from National Occupational Standards for your occupational area. You will be assessed by an occupationally competent and qualified assessor whose job is to work with you and help you complete your qualification. This qualification supports the learner to attain enabling, fundamental and transferable practical skills with associated underpinning knowledge. The learner will learn key practical skills and knowledge in these mandatory units: -Conforming to General Health, Safety and Welfare in the Workplace -Conforming to Productive Working Practices in the Workplace The learner will also learn key practical skills and knowledge in one of the following optional units: -Preparing and operating soil compactors to compact materials in the workplace -Preparing and operating landfill compactors to compact materials in the workplace -Preparing and operating ride-on rollers to compact materials in the workplace Entry Requirements There are no formal entry requirements to take this qualification. This qualification can be undertaken without any previous training or qualifications in this subject area.

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

Learners will develop knowledge from the FD&FA foundation BS 5839-1 module and/or industry experience and apply this to the installation of FD&FA systems.

Linux shell scripting training course description A practical introduction to writing scripts using the Bourne shell under any Linux operating system. Applicable for those using the Korn shell as well. What will you learn Read shell scripts. Write shell scripts. Use different types of quotes. Recognise the role of shell scripts within the Linux system. Linux shell scripting training course details Who will benefit: Programmers developing programs under UNIX. Administrators / support personnel who wish to find out more about the workings of Linux or write simple utility programs. Prerequisites: Linux Fundamentals Duration 2 days Linux shell scripting training course contents Review of Linux 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 command. Advanced 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.

Oracle SQL Advanced training course description The Oracle SQL Advanced course is designed to give delegates practical experience in using some of the more advanced features of Oracle SQL. Additional datatypes and the use of advanced SQL functions and expressions are covered together with enhanced table handling features. What will you learn Retrieve data using correlated subqueries, in-line views and multi-column subqueries. Use the WITH Clause. Inserting and Updating Rows Using Complex Subqueries Create Hierarchical Queries. Use ROLLUP, CUBE and GROUPING SETS group by enhancements. Implement the GROUPING and GROUPING_ID functions. Manage large data sets. Insert data conditionally and unconditionally. Merge Rows in a Table. Create TIMESTAMP and INTERVAL Datatypes. Use TIMESTAMP, TIMEZONE and INTERVAL functions and literals. Use regular expressions and implement related functions. Manage objects with the data dictionary. Manage schema objects. Perform flashback operations. Create and using external tables. Control user access to database objects. Oracle SQL Advanced training course details Who will benefit: Anyone who needs to use the more advanced features of SQL to improve their productivity in querying and updating an Oracle database. Prerequisites: Delegates should have attended the Oracle SQL course or have a similar level of experience. Duration 2 days Oracle SQL Advanced training course contents Retrieve data using subqueries ANY, ALL or SOME operators, Correlated subqueries, In-Line views, The Exists operator, The WITH clause, Multi-Column subqueries, Insert and update using a query, Correlated update and delete. Hierarchical queries Hierarchical data, The START WITH and CONNECT BY clauses, The LEVEL pseudo-column, Sequencing the output, Eliminating nodes and branches. Enhanced grouping features Review of basic grouping concepts, The ROLLUP and CUBE extensions, The GROUPING SETS extension, Using the GROUPING and GROUPING_ID functions. Manage large data sets Multi-table Inserts, Conditional and unconditional Inserts, Merging data into a table, Table and view based merge, A sub query based merge. Flashback technology Flashback query, The AS clause, Flashback table, Flashback drop. Date, time and time zone support Date, Timestamp and Interval datatypes, Handling dates and times, Handling intervals, Date, timestamp and interval functions and literals, Related NLS parameters. Regular expression support Regular expression notation, Character matching, Repetition operators, Sub expression grouping, Regular expression functions. Manage objects with the Data Dictionary The Data Dictionary, Useful Data Dictionary tables, Using the Data Dictionary. Manage schema objects Column operations, Constraint operations, Creating and dropping Indexes, B-Tree indexes, Function based indexes, Descending indexes, Creating and using external tables. Access control System privileges and roles, Create users, Alter user details, Grant and revoke object privileges.