787 Systems courses

RESILIA™ Foundation: In-House Training AXELOS RESILIA™: Cyber Resilience Best Practice is designed to help commercial and government organizations around the world prevent, detect, and correct any impact cyber attacks will have on the information required to do business. Adding RESILIA to the existing AXELOS global best practice portfolio, including ITIL® and PRINCE2®, brings a common cyber resilience best practice for security, IT service management, and business. Active cyber resilience is achieved through people, process, and technology. The RESILIA™ Foundation course starts with the purpose, key terms, the distinction between resilience and security, and the benefits of implementing cyber resilience. It introduces risk management and the key activities needed to address risks and opportunities. Further, it explains the relevance of common management standards and best practice frameworks to achieve cyber resilience. Subsequently, it identifies the cyber resilience processes, the associated control objectives, interactions, and activities that should be aligned with corresponding ITSM activities. In the final part of the course, it describes the segregation of duties and dual controls related to cyber resilience roles and responsibilities. What you will Learn At the end of this course, you will be able to: Demonstrate your knowledge of the purpose, benefits, and key terms of cyber resilience Demonstrate your knowledge of the risk management and the key activities needed to address risks and opportunities Demonstrate your knowledge of the purpose of a management system and how best practices and standards can contribute Demonstrate your knowledge of the cyber resilience strategy, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience design, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience transition, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience operation, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of cyber resilience continual improvement, the associated control objectives, and their interactions with ITSM activities Demonstrate your knowledge of the purpose and benefits of segregation of duties and dual controls Course Introduction Course Learning Objectives Course Agenda Activities Course Book Structure RESILIA Certification Introduction to Cyber Resilience What is Cyber Resilience? Defining Cyber Resilience Balancing in Cyber Resilience Characteristics of Cyber Resilience Risk Management Understanding Risk Management: Discussion Defining Risk Management Addressing Risks and Opportunities Managing Cyber Resilience Why and What of Management Systems? Management Systems Common Management Standards and Frameworks Cyber Resilience Strategy What is Strategy? Cyber Resilience Strategy and Activities Security Controls at Cyber Resilience Strategy Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Design Why Cyber Resilience Design? Cyber Resilience Design Activities Security Controls at Cyber Resilience Design Aligning ITSM Processes with Cyber Resilience Processes Cyber Resilience Transition Why Cyber Resilience Transition? Basics of Cyber Resilience Transition Cyber Resilience Transition: Controls Interaction Between ITSM Processes and Cyber Resilience Cyber Resilience Operation The Purpose of Cyber Resilience Operation Security Controls in Cyber Resilience Operation Interaction Between IT Processes and Cyber Resilience Interaction Between ITSM Functions and Cyber Resilience Cyber Resilience Continual Improvement Continual or Continuous Improvement Maturity Models Continual Improvement Controls The Seven-Step Improvement Process The ITIL CSI Approach Cyber Resilience Roles & Responsibilities Segregating Duties Dual Controls

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Video coding training course description This course investigates the characteristics of video coding with an emphasis on compression and the standards used in IP networks. What will you learn Explain how video coding works. Describe the main video coding standards. Evaluate and compare the major video coding standards. Video coding training course details Who will benefit: Anyone working with MPEG. Prerequisites: None. Duration 2 days Video coding training course contents Introduction Video coding systems, encoding, transmission, decoding. Digital video formats: Old formats (CIF…), PC formats (VGA…), SD, HD, UHD. Video codecs What is a CODEC, pictures and audio, digitisation, sampling, quantisation, encoding, compressing. Codec types Lossy, lossless, uncompressed. Quality, bandwidth. Video Fps, bitstreams, pictures, frames, fields. Aspect ratios. Colour Colour perception, RGB, YUV, YCbCr sampling, 4:00, 4:2:0, 4:2:2, 4:4:4. Hybrid video coding scheme Picture partitioning, intra prediction, inter prediction, motion estimation, residual coding, in loop filtering, entropy coding. Containers Relationship with codecs, audio, video. Audio Video Interleave (.avi), .asf, QuickTime, AVCHD, Flash, .mp4, 3gp. MPEG-TS. MPEG Analysing MPEG frames. Video coding standards H.264/AVC: Profiles MPEG, bit rates, resolution. I, B, P frames, GOP. MPEG 2, MPEG 4, H.264, H.265, VP9, AV1. Hands onand levels, how it works. H.265/HEVC: Profiles and levels, Quadtrees, slices, how it works. Open video coding: VP8, VP9, AV1.

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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

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Sockets programming training course description A hands on course for programmers using Sockets. It is important to recognise that the course assumes that delegates are already familiar with TCP/IP and Python. Practical exercises follow all the major theory sessions. What will you learn Read Python programs which use Sockets. Write Python programs which use Sockets. Debug Python programs which use Sockets. Sockets programming training course details Who will benefit: Programmers working with network applications. Prerequisites: TCP/IP foundation for engineers Python for network engineers Duration 2 days Sockets programming training course contents What is a socket? Review of IP, ICMP, UDP vs TCP, IP addresses, protocol numbers, ports. API's, UNIX I/O, sockets. SOCK_STREAM, SOCK_DGRAM. Hands on Compile and run code. The systems calls Clients and servers, structs, socket(), bind(), connect(), listen(), accept(), send(), recv(), sendto (), recvfrom(), close(), shutdown(), getpeername(), gethostname(). Hands on Walk through of example client and server code. First code TCP connections, passive opens, active opens. Hands on Write a simple 'hello world' server and client. Application protocols User character stream, ASCII turn taking, binary protocols. Hands on Raw SMTP, Writing a mail client. Clients Concurrency, polling, threads, event driven programming. Hands on Conferencing application. Servers Concurrency, stateful, stateless. Forks and execs. inetd. Hands on Running servers with and without inetd, chroot jails, conferencing server modifications. Advanced techniques Blocking, select(), partial send(s). Raw sockets, example sockets using Java, Perl and PHP. Hands on A broadcast application.

This IMI qualification is designed for those personnel who in the course of their daily work may encounter damaged electric/hybrid vehicles. It contains the knowledge required to work safely around the electric/hybrid vehicles high and low voltage electrical system and electric drive train systems. On completing this qualification those personnel will have gained knowledge of both low and high voltage technologies and an understanding of their dangers. The content of this qualification has been designed to give learners the knowledge and skills required to work safely around Electric/Hybrid vehicles during emergency and recovery situations.

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The NVQ Level 2 Diploma in Curtain Wall is appropriate for individuals aged 16 and over working in the construction sector who specialise in the installation if Curtain Wall and Aluminium Architectural Glazing Systems and are looking to become eligible for the Blue CSCS Card. The aim of this qualification is to recognise the knowledge, skills and competence of individuals who specialise in this area and upon completion of the qualification, you will be awarded the NVQ Level 2 Certificate in Curtain Wall CSCS Cards Candidates can undertake the CSCS test and obtain the red (Provisional) CSCS card on signing up for this qualification. The red CSCS card can usually be obtained within 7 to 14 days and can be used to access the construction sites for a period of 12 months. In order for candidates to obtain their CSCS Card for Curtain Wall Installation they must also fulfil the requirements for technical knowledge as set out by the Council for Aluminium in Building and are generally required to complete CAB 1 day Curtain Wall essential knowledge training course. For more information regarding the CAB Course and CSCS requirements, please see the information below.