About this Virtual Instructor Led Training (VILT) This Virtual Instructor Led Training (VILT) course presents advanced methodologies that implement demand response and energy conservation programs in light of the integration of new technologies, regulatory changes and the accelerated penetration of renewable energy resources. This VILT course provides examples and case studies from North American and European jurisdictions covering the operational flexibilities on the demand side including requirements for new building codes to achieve zero net energy. The course describes a public agency's goals and objectives for conserving and otherwise reducing energy consumption and managing its demand for energy. This course presents the demand response implemented for economics and system security such as system balancing and relieving transmission congestion, or for system adequacy. The course also presents the principal attributes of conservation programs and the associated success criteria. In a system with increased penetration of renewable resources, demand response provides flexibility to system operators, helping them to maintain the reliability and the security of supply. Demand response is presented as a competitive alternative to additional power sources, enhancing competition and liquidity in electricity markets. The unique characteristics are discussed from a local, consumer centric and also from a system perspective bringing to life the ever changing paradigm for delivery energy to customers. Interoperability aspects and standards are discussed, as well as the consumer centric paradigm of Transactive Energy with IOT enabled flexibilities at system level, distribution networks and microgrids. The VILT course introduces the blockchain as a new line of defense against cyber threats and its increasing application in P2P transactions and renewable certificates. Our trainer's industry experience spans three decades with one of the largest Canadian utilities where she led or contributed to large operational studies and energy policies and decades of work with IEEE, NSERC and CIGRE. Our key expert also approaches to the cross sectional, interdisciplinary state of the art methodologies brings real life experience of recent industry developments. Training Objectives Innovative Digital Technologies How systems Facilitate Operational Flexibility on the Demand Side The Ecosystem of Demand Side Management Programs Advanced Machine Learning techniques with examples from CAISO Regulatory Policy Context and how to reduce regulatory barriers Industry Examples from NERC and ENTSO Relevant Industry standards: IEEE and IEC Manage Congestion with Distributed Operational Flexibilities: Grid to Distribution Controls; examples from NERC (NA) and ENTSO (Europe) Grid solutions with IEC 61850 communication protocols Decentralized grid controls The New Grid with accelerated V2G and Microgrids How DSM is and will be applied in Your System: Examples and discussions Target Audience Regulators and government agencies advising on public energy conservation programs All professionals interested in expanding their expertise, or advancing their career, or take on management and leadership roles in the rapidly evolving energy sector Energy professionals implementing demand side management, particularly in power systems with increased renewable penetration, to allow the much needed operational flexibility paramount to maintaining the reliability and stability of the power system and in the same time offering all classes of customers flexible and economical choices Any utility professional interested in understanding the new developments in the power industry Course Level Basic or Foundation Training Methods The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 x 10 minutes break 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
Elevate your expertise in LNG terminal operations safety through our classroom training course. Energyedge provides industry-leading expertise and guidance.
What Does The Course Include? When choosing a course ensure that it includes both theory and a wide variety of practical content. Every course should include: Anatomy and Physiology Types & structure of the hair Skin, blood and lymphatic circulation Reproductive and endocrine system Theory of Electric Currents Consultations & Record Cards Contra-indications & contra-actions Aftercare advice Choice of needles / probes Accurate probing techniques Legislation, Hygiene and Sterilisation Performing the correct stretch Short-wave Diathermy Galvanic/Blend The Heating Pattern Correct Insertion Techniques The Target Area Unusual Hair Growth FAQ’s Health and Safety Areas Treated This informal and structured weekend will teach all the required techniques necessary to perform successful hair removal treatments. Performed on massage couches, each student will receive guidance on how to effectively perform a full electrolysis treatment on the following areas: Leg Bikini Underarm Nape of Neck Brow Lip Chin Chest The Angel Academy prides itself on always a 100% pass rate for all of its courses since 2003. Classes are kept relatively small so that the tuition can always be of the highest standard. Over the years, all manner of student has come to the Angel Academy from Celebrity to Supermodel to Housewife to Career person looking for a way to relax from the every-day stress and strains that life presents them with.
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.
SMPTE 2022 training course description SMPTE 2022 is the standard for IP video transport in the broadcast industry. This course covers the seven section of the standard in detail. Particular attention is given to FEC and seamless protection switching areas of the standard. What will you learn Use Wireshark to analyse. SMPTE 2022 streams. Explain the role of FEC in SMPTE 2022. Explain how SMPTE 2022 provides resilience. SMPTE 2022 training course details Who will benefit: Anyone working with TV distribution. Prerequisites: TCP/IP foundation for engineers Duration 1 day SMPTE 2022 training course contents Introduction What is SMPTE 2022, SMPTE 2022 parts. SDI over IP. Contribution and distribution versus delivery. The SMPTE 2022 protocol stack SMPTE 2022-2 (mapping of MPEG TS into IP) and SMPTE 2022-6 mapping uncompressed video into IP. IP: Best effort, connectionless, DF flag, routers, Diffserv, RSVP. IPv6. UDP: Unreliable, connectionless, broadcasts, multicasts and unicasts. RTP RTP, ports, payloads types, sequence numbers, timestamps. RTP header extensions. RTCP. MPEG2-TS: Elementary streams, transport over IP. FEC Forward Error Correction. SMPTE 2022-1, SMPTE 2022-5. Logical rows and columns. 1D and 2D parity. FEC header format. FEC configuration and choosing dimensions. FEC traffic shaping. Overheads and delays. Seamless protection switching IP failover. SMPTE 2022-7: Sending two matching streams over different paths. Stream synchronization. The HBRMT header. Calculating the packet to switch over. Summary Summary of the 7 sections of the SMPTE 2022 standard. Clock recovery.
Total TRILL training course description A comprehensive look at Transparent Interconnection of Lots of Links (TRILL). This TRILL course starts with the problems in traditional switched networks then moves onto to how TRILL solves these problems. As IS -IS is key to loop free topologies in TRILL networks, this protocol is also studied. What will you learn Explain the benefits of TRILL. Explain how TRILL works. Explain the role of IS-IS in TRILL. Integrate TRILL into existing networks. Total TRILL training course details Who will benefit: Technical staff working with Ethernet. Prerequisites: Definitive Ethernet switching for engineers Duration 1 day Total TRILL training course contents What is TRILL? Layer 2 versus Layer 3, STP problems: One path, convergence, MAC explosion. TRILL switches, RBridges, TRILL campus. TRILL standards TRILL components RBridges, mixing Rbridges with bridges, appointed forwarders. IS-IS Link layer IS-IS, SPF trees, traffic management. IS-IS extensions for TRILL. ISIS TLV. How TRILL works TRILL IS-IS hello discovery, Designated bridge, IS-IS flooding, Appointed forwarder, unicast versus multi-destination frames. TRILL nicknames. TRILL packet headers Local link header, TRILL header. TRILL over Ethernet, TRILL over PPP. VLANs. Fine grained labelling. TRILL BFD. TRILL OAM. Frame overheads. TRILL comparisons MPLS, IP, 802.1aq.
QSIG training course description A concise overview of QSIG, covering the development, current use and future of this private network signalling protocol. What will you learn Describe the use of QSIG. Describe the evolution of QSIG. Describe functionality of the QSIGProtocol Stack. Describe functionality and use of the main Supplementary Services and Additional Network Functions within QSIG. QSIG training course details Who will benefit: Network/Systems Engineers Operators/Planners or anyone working within the QSIG Arena. Prerequisites: Telecommunications Introduction Duration 1 day QSIG training course contents Introduction What is QSIG? User benefits, flexible interconnection, public ISDN synergy, feature transparency-end to end intelligence, innovation specialist features - heterogeneous environment. Evolution of QSIG Evolution of QSIG, ISDN PBX Networking, Specification forum (IPNS), QSIG standardisation. The ITU-T reference model extended for corporate networks. QSIG Protocol Q Protocol stack, QSIG basic call layer 3 - SubLayer 1, QSIG Generic Functional layer 3 Sub-Layer 2 (GF), QSIG protocols for supplementary services & ANF's- Layer 3, Sub-Layer 3, Layer 3 Message Overview. Supplementary Services and ANFs QSIG supplementary services standardisation methodology. QSIG Services and additional network features: Advice of charge, Call Completion, (CCBS, CCNR), Call Forwarding and diversion (CFB, CFNR, CFU, CD), Services (CINT, CI, CO, CT, CW, DDI) Services cont. (DND, DNDO), Identification Services - (CLIP, COLP, CLIR, CNIP, CONP, CNIR), Other QSIG services and additional network features (Mobile, Multi Subscriber Number (MSN), Operator Services, Recall (RE), Sub-Addressing (SUB)), User to user signalling, compliance with services. Conclusion - QSIG1 FAQ's, European Computer Manufacturers Association. The Future.
About this Virtual Instructor Led Training (VILT) Asia Pacific is set to be the largest and fastest growing Hydrogen market globally. This growth is driven by decarbonisation of energy-use, ammonia production and rising demand of fuel cell electric vehicles. Hydrogen as a fuel has outstanding energy carrying capacity and many application possibilities ranging from Petroleum refinery, Ammonia and Methanol production, Transportation and Power generation. Although the current petrochemical market segment will remain strongest in the near future, it is the transport and power sector which spurs the vision of a massive market takeoff in the next decade. The ever-rising share of renewable energies require flexible and scalable storage solutions, which in turn offers many additional revenue streams beyond pure electricity sales. Adding to this the strong impetus towards decarbonization of the transport sector from cars, trucks, trains to ships and even airplanes creates the breed for an exciting and yet untapped market potential. This course aims to clarify and assess the hydrogen business case along its value chain and versatile market applications. Training Objectives Understanding current hydrogen market status and recent developments Major drivers and inhibitors influencing the growth of the market Understanding and comparing various production technology processes Challenges and solutions in transport, distribution and storage of hydrogen Mapping the many petrochemical, energy and transport applications Analyse business cases from around the world and understand their economics Target Audience Project developers Equipment Manufacturers Oil, Gas and Petrochemical sector companies IPPs and utilities Transport sector companies and port operators Policy makers and regulators Investors and lenders Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Additionally, some self-study will be requested. Participants are invited but not obliged to bring a short presentation (10mins max) on a practical problem they encountered in their work. This will then be explained and discussed during the VILT. A short test or quiz will be held at the end the course. Trainer Your expert course leader is an internationally renowned energy communicator and business educator, focused on the interconnected clean energy transition topics of renewable power, energy storage, energy system electrification and hydrogen. His own independent technology tracking, market assessment and opportunity/risk analysis is delivered to clients through a mix of business advisory work, commissioned content, small-group training (online & in-person), and one-to-one executive coaching (online). In the hydrogen sector, he is currently lead consultant and trainer to the World Hydrogen Leaders network, and writer of their 'This Week in Hydrogen' news column. He is also co-presenter of the 'New Energy Chinwag' podcast, which regularly covers hydrogen-related issues. During more than 15 years as an independent energy expert, he has helped companies from large multinationals to innovative start-ups - totalling assignments in over 30 countries across 5 continents. Most recently, he has presented clean energy training in locations as diverse as Singapore, the UK, South Africa, The Philippines, the USA, Mexico, Spain and Dubai - and, in recent times of course, online to international audiences from across the world. Prior to this, he was Research Director for over 10 years at Informa, a $9 billion business intelligence provider; where he drove new market identification, analysis and project deployment work, and managed teams in the UK and US. He has a strong science background, holding a 1st Class Honours degree in Natural Sciences from the University of Cambridge, a PhD in Earth Sciences and a further Diploma in Economics & Sustainability from the UK's Open University. 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