9722 Mode courses

CWAP training course description This WiFi analysis course consists of hands-on learning using the latest enterprise wireless LAN analysis and troubleshooting tools. The course takes an in-depth look at the functionality of WLANs, intended operation of the 802.11 protocol and Wi-Fi Alliance specifications, WLAN frame formatting and structure, troubleshooting methodology, and protocol analysis. It also includes extensive training in modern spectrum analysis with a focus on advanced RF behaviour analysis, data collection methods, interpreting spectrum plots and charts, and understanding advanced features of WLAN spectrum analysers. What will you learn Analyse WiFi frames using Wireshark. Explain 802.11 protocol operation. Troubleshoot WiFi networks using Wireshark. Troubleshoot WiFi networks using spectrum analysers. CWAP training course details Who will benefit: Technical Network Staff Anyone looking to become a CWAP Prerequisites: Certified Wireless Network Administrator Duration 4 days CWAP training course contents Principles of WLAN Communication 802.11 Working Group, OSI reference model and the 802.11 PHY and MAC, Communication sublayers and data units, WLAN architecture components, Organization of station forwarding Addressing and internetworking operation, Modern WLAN product architectures. Physical (PHY) and MAC Layer Formats and Technologies Physical layer functions, Preamble function and format, Header purpose and structure, Analysis of PHY problems, Physical PPDU formats, 802.11b, 802.11a, 802.11g, 802.11n, MAC frame components, MAC encapsulation, Fields and subfields of the MAC header, Frame Control, Frame types and subtypes and their uses, Addressing, Frame body, Data frame format, Control frame format, Management frame format, Information elements and fields. Beaconing and synchronization Scanning, Client state machine, 802.11 contention, QoS, Admission control, Band steering and airtime fairness mechanisms Fragmentation, Acknowledgments and Block acknowledgments, Protection mechanisms and backward compatibility, Power management, Dynamic Frequency Selection (DFS) and Transmit Power Control (TPC), Security components, methods, and exchanges, Roaming procedures exchanges, Future protocol enhancements. 802.11n Transmit beamforming, Spatial multiplexing, Maximal Ratio Combining (MRC), Space-Time Block Coding, 40 MHz channels, Frame aggregation, HT-OFDM format, Modulation and Coding Schemes (MCS), HT frame formatting and more. Protocol Analysis Tools and Methodology Troubleshooting methodology, Protocol analyser types, Analysis NIC/adapter selection and constraints, Interpreting results based on location, Analyzer settings and features, Filtering and channel scanning, Interpreting decodes, Using advanced analysis features, Assessing WLAN health and behaviour factors, Evaluating network statistics, Troubleshooting common problems, Wired analysis to support wireless network issues. Spectrum Analysis Tools and Methodology Radio frequency behaviour review, Visualizing RF domains using spectrum measurement tools, Spectrum analyser types and operation, Analyser specifications and characteristics, Understanding spectrum data presentation, Interpreting plots and charts, Common WLAN spectrum analyser features, Identifying transmit patterns, Device classification and network impact, Recognizing transmit signatures. Hands on lab exercises Wireshark Setup, Use, and In-Depth Analysis Wireshark is fundamental to troubleshooting. Labs include: - Capabilities, configuration, and data display - Opening, collecting, saving, and modifying capture files. - Filtering traffic, and using colouring rules as analysis aides. - Live captures based on a set of desired collection criteria. - Identify and isolate network problems. - Conversation analysis. - Remote packet capture with an AP. Understanding Frame Components Familiarity with the frame structure and contents is essential in real -world troubleshooting efforts. Labs include: - Understanding the MAC header - Comparing the three major frame types and their subtypes - Analysing frame formats of individual frame types - Analysing 802.11n frame components - Additional information is reported by protocol analysers - Information not visible in protocol analysers Frame Exchanges Understanding frame exchange rules and behaviors is critical to identifying expected and unexpected. It is also necessary to understand what is normal so that aberrations can be properly troubleshot. Labs include: - Connectivity exchanges and sequences - Legacy and modern security exchanges - ERP and HT protection mechanisms - Power save behaviour - Acknowledgments, block acknowledgments, and supporting action frames - Dynamic rate switching - Band steering Troubleshooting Common Problems This lab exposes students to hands-on troubleshooting skills by setting up common problems in WLANs and allowing students to attempt to solve them. - Trouleshooting connectivity exchanges - Troubleshooting 802.1X and EAP exchanges - Troubleshooting roaming Spectrum Analyzer Setup, Use, and In-Depth Analysis Specifically, it will explore the plots and charts used to display spectrum data and how to interpret this data to define a transmitter's impact on the network. The following are covered: - Installing the analyser and using display and navigation - The 'RF perspective' provided by each plot and chart - Using built-in features and automated device identification - Characterizing the behaviours of an interference source - Assessing the impact of an interference source - Determining the impact of transmitter proximity on interference. - Identifying signatures of common transmitters - Remote spectrum analysis with an AP

About this training course Gas well performance is dictated by the combination of inflow and outflow performance. The outflow performance of any gas well is at risk as soon as the gas rate becomes insufficient to lift the associated liquid water and condensate to surface. This condition is referred to as liquid loading and invariably causes intermittent production and significant loss of well capacity and reserves. Liquid loading can be mitigated by different types of gas well deliquification such as compression, velocity string, plunger lift, foam-assisted lift, gas lift and downhole pump. This 5 full-day course will first show how to predict and recognize liquid loading. Next, it will describe how to select, design, install and operate the best sequence of deliquification measures. It will also consider deliquification in the presence of other production threats such as water production and halite blockage. These topics will be illustrated by an abundance of field examples and case studies. The participants will be completing a case study during the training. This case study is preferably based on their own relevant data set. If no such data is available, an external data set will be provided instead. Prerequisites skills: It is necessary for the participants to have a basic knowledge of petroleum engineering and gas well performance. This course can also be offered through Virtual Instructor Led Training (VILT) format. Training Objectives On completion of this course, the participants will be able to: Develop skills and tools to understand and model gas well liquid loading and deliquification Understand the principles and practicalities of different deliquification methods Learn how to compare, select and apply deliquification measures by taking own field case as example Target Audience This course is intended for production engineer, surveillance engineer, completion engineer, production/process chemist, reservoir engineer, production programmer, production operator as well as professionals responsible for selecting, installing, operating, monitoring and optimizing deliquification. Course Level Basic or Foundation Training Methods This course utilizes Excel worksheets first introduced in the Optimising Gas Well Performance course. To derive maximum learning value, the participants are requested to bring their own relevant set of field data to complete their own case study during the training. The list of data required will be shared beforehand so data can be timely collected and cleared for external use. The participants should be prepared to complete any unfinished exercises and assignments before next day's session starts. The instructor will be available to discuss any remaining queries after the completion of the course. Trainer Your expert course leader brings with him 35 years of oil and gas field experience within Shell of which 25 years as gas well production engineer. He has covered the full spectrum of activities moving from R&D to green field development to brown field surveillance and optimisation, to become a leading gas well performance and deliquification specialist. He likes to capture the complex reality of gas well inflow, outflow and reservoir performance by means of practical data-driven rules and tools that cover a wide range of conditions i.e. shallow-to-deep, prolific-to-tight, dry-to-wet, green-to-brown, 1-1/2'-to-9-5/8' tubing, and depletion-to-aquifer drive. Before his retirement in end 2020, he worked for various Shell affiliated oil and gas companies including Shell Malaysia, Petroleum Development Oman, NAM Netherlands and Shell R&D in Netherlands and USA. 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 post training support and fees applicable Accreditions And Affliations

OpenStack for NFV and SDN course description OpenStack is predominately a cloud management technology. This course looks at how OpenStack can be used in a NFV and SDN environment. What will you learn Describe the architecture of NFV. Explain the relationship between NFV and SDN. Implement NFV VIM using OpenStack. Explain how OpenStack as VNFM and orchestrator works. OpenStack for NFV and SDN course details Who will benefit: Anyone wishing to implement NFV using OpenStack. Prerequisites: Introduction to Virtualization Duration 3 day OpenStack for NFV and SDN course content What is NFV? What is NFV? What are network Functions? NFV benefits, NFV market drivers. ETSI NFV framework. ETSI documents, Architecture overview, compute domain, hypervisor domain, infrastructure network domain. What is OpenStack? Virtual machines, clouds, management. OpenStack architecture, OpenStack modules. Why OpenStack for NFV? Hands on OpenStack installation. OpenStack Virtualization and NFV Server, storage and network virtualization and NFV. Where OpenStack fits in the ETSI framework. Virtual machines, containers and docker. Data centres, clouds, SaaS, IaaS, PaaS. Hands on OpenStack Iaas, OpenStack Nova. The virtualization layer VM centric model, containers versus hypervisors, FD.io. Hands on OpenStack as the VIM. OpenStack Neutron VXLAN, Networks, subnets, ports. Security groups. Routers. Service and component hierarchy. Hands on Implementing a virtual network with OpenStack Neutron. Virtualization of Network Functions Network virtualization versus Network Function virtualization. NFV MANO Management and Orchestration. Where OpenStack fits. MANO descriptors, Open orchestration. OpenStack Tacker, Open MANO, OpenBaton, other orchestrators. OpenStack Tacker Installation, getting started, configuration. SFC and OpenStack. Hands on Deploying a VNF. OPNFV What is OPNFV, Where OpenStack fits into OPNFV. SDN What is SDN? Control and data planes. SDN controllers. Classic SDN versus real SDN. Hybrid SDN, network automation, SDN with overlays. Northbound, southbound, SDN protocols, OpenFlow, OpenDaylight, ONOS, SDN with NFV. SDN and OpenStack. Summary Deploying NFV, performance, testing. Futures

Ethernet LANS training course description This course has been replaced as part of our continuous curriculum development. Please see our Definitive Ethernet switching course What will you learn Describe what Ethernet is and how it works. Install Ethernet networks Troubleshoot Ethernet networks Analyse Ethernet packets Design Ethernet networks Recognise the uses of Hubs, Bridges, switches and routers. Ethernet LANS training course details Who will benefit: Those wishing to find out more about how their LAN works. Prerequisites: Intro to Data comms & networking. Duration 3 days Ethernet LANS training course contents What is Ethernet? LANS, What is Ethernet?, history, standards, the OSI reference model, how Ethernet works, CSMA/CD. Ethernet Cabling UTP, cat 3,4,5, Cat 5e, Cat 6, Cat 7, fibre optic cable, MMF, SMF. Hands on Making a cable. 802.3 physical specifications Distance limitations, hubs and repeaters, 5-4-3-2-1 rule, 10BaseT, 10BaseF, 100BaseTX, 100BaseFX, 1000BaseSX, 1000BaseT, 10gbe. Hands on Working with hubs. Ethernet layer 2 Overview, NICS, device drivers, MAC addresses, broadcasts, multicasts, frame formats, Ether II, 802.3, 802.2, SNAP, compatibility, Ethernet type numbers, Ethernet multicast addresses, Ethernet vendor codes. Hands on Installing Ethernet components, analysing MAC headers. IP and Ethernet ARP Hands on Analysing ARP packets. Ethernet extensions Full/half duplex, auto negotiation, flow control methods, 802.3ad, 802.3af, 802.3ah. Hands on Configuration of full/half duplex. Ethernet speed enhancements Encoding, Carrier extension, packet bursting, jumbo frames. Prioritisation 802.1P, 802.1Q, TOS, WRR, QOS, VLANs. Hands on 802.1p testing Interconnecting LANS Broadcast domains, Collision domains, What are bridges, transparent bridging, What are switches? STP, VLANS, What are routers? Layer 3 switches, Connecting Ethernet to the WAN. Hands on STP, Analysing Ethernet frames in a routed architecture. Troubleshooting and maintaining Ethernet Utilisation, performance, TDR and other testers, bottlenecks, statistics, RMON. Hands on Monitoring performance, troubleshooting tools.

CPRI training course description This course is designed to give the delegate a technical overview of the CPRI protocols and link setup. We will explain the industry cooperation to define the key internal interface between the radio equipment control (REC) and the radio equipment (RE). Also explained will be the SAP that the CPRI link supports for IQ Interface, frame synchronisation, link control and management and the master and slave ports. We will investigate the CPRI block diagram and together with the data formats and sample mapping solutions. The CPRI frame hierarchy and hyperframe construction will be detailed during this three day overview course. What will you learn Explain the CPRI Block diagram. Understand hyperframing capabilities. Explain the CPRI frame format. Understand how the synchronisation is compliant with 3GPP & WiMAX requirements. Understand the two electrical characteristics of CPRI standard. Understand the CPRI standards structure. Understand the CPRI system & Interface definitions. List the four standard bit rates of the CPRI specification. Understand the CPRI Protocol stacks. CPRI training course details Who will benefit: Anyone looking for a technical overview of the CPRI protocols and link set up. Prerequisites: None. Duration 3 days CPRI training course contents System Description Subsystems. Nodes. Protocol layers. Protocol data planes. User data planes. Antenna carriers. Service Access Points (SAP). Link. Passive Link. Hop. Multi-hop Connection. Logical Connection. Master Port & Slave Port. System Architecture Basic System Architecture & Common Public Radio Interface Definition. System Architecture with a link between Res. Reference configurations: Chain topology, Tree topology, Ring topology. RECs & REs in both chain & tree topology Functional description Radio Functionality. Functional Decomposition between REC and RE: For UTRA FDD, For WiMAX & E-UTRA, For GSM. CPRI Control Functionality. Interface Baseline Interface Specification. Protocol Overview. IQ Data. Synchronisation. L1 Inband Protocol. C & M Data. Protocol Extensions. Vendor Specific Information. Physical Layer Specifications Line Bit Rate. Physical Layer Modes. Electrical Interface. Optical Interface. Line Coding. Bit Error Correction/Detection. Frame Structure. Mapping Methods. Container Blocks. Hyperframes. GSM, UMTS & WiMAX Timing. Link Delay Accuracy & Cable Delay Calibration. Link Maintenance Data Link Layer (Layer 2) Specification Layer 2 Framing for Fast & Slow C & M Channels. Medium Access Control/Data Mapping. Flow Control. Start-up Sequence General. Layer 1 Start-up Timer. State Description. Transition Description. Interoperability Reserved Bandwidth. Version Numbers. Supplementary Specification Details Delay Calibration Example. Reference Test Points. List of Abbreviations & Gloss

Who is this course for? The Diploma in Visual Effects for Film and Television Animation is tailored for individuals aspiring to work in the Visual Effects, TV, Film, and 3D animation industry. Gain essential skills necessary for a successful career in these fields. Click here for more info: Website Duration: 120 hours of 1-on-1 Training. When can I book: 9 am - 4 pm (Choose your preferred day and time once a week). Monday to Saturday: 9 am - 7 pm (Flexible timing with advance booking).  Course Overview for a 120-Hour Diploma Program in Game Design and Development Term 1: Introduction to Game Design and 3D Modeling (40 hours) Module 1: Introduction to Game Design (1 hour) Understanding the game development industry and current trends Exploring game mechanics and fundamental design principles Introduction to the game engines and tools utilized in the program Module 2: 3D Modeling with 3ds Max (25 hours) Familiarization with 3ds Max and its user interface Mastering basic modeling techniques like box modeling and extrusion Advanced modeling skills including subdivision and topology Texturing and shading techniques tailored for game development Module 3: Character Design and Animation (10 hours) Introduction to character design and its developmental process Creating and rigging characters specifically for games Keyframe animation techniques for character movement Term 2: Game Development and Unity 3D (40 hours) Module 4: Unity 3D Basics (20 hours) Navigating Unity 3D and understanding its interface Grasping fundamental game development concepts within Unity Creating game objects, writing scripts, and designing scenes Introduction to scripting using C# Module 5: Advanced Game Development with Unity 3D (10 hours) Constructing game mechanics including UI, scoring, and game states Working with physics and collision systems in Unity Crafting intricate game environments and level designs Module 6: Game Assets with Photoshop (10 hours) Exploring Photoshop tools and features for game asset creation Crafting game elements such as textures, sprites, and icons Optimizing assets for seamless integration into game development Term 3: Advanced Game Design and Portfolio Development (40 hours) Module 7: Advanced Game Design (20 hours) Delving into advanced game design concepts like balancing and difficulty curves Understanding player psychology and methods for engaging audiences Implementing game analytics and user testing for refinement Module 8: Portfolio Development (24 hours) Building a comprehensive portfolio showcasing acquired skills Effective presentation techniques for showcasing work Establishing a professional online presence and networking strategies Final Project: Creating and presenting a collection of best works in collaboration with tutors and fellow students Please note: Any missed sessions or absence without a 48-hour notice will result in session loss and a full class fee charge due to the personalized one-to-one nature of the sessions. Students can request pauses or extended breaks by providing written notice via email. What can you do after this course: Software Proficiency: Master industry-standard design tools for architectural and interior projects. Design Expertise: Develop a deep understanding of design principles and spatial concepts. Visualization Skills: Acquire advanced 2D/3D rendering and virtual reality skills for realistic design representation. Communication and Collaboration: Enhance communication skills and learn to collaborate effectively in design teams. Problem-Solving: Develop creative problem-solving abilities for real-world design challenges. Jobs and Career Opportunities: Architectural Visualizer Interior Designer CAD Technician Virtual Reality Developer 3D Modeler Project Coordinator Freelance Designer Visualization Consultant Students can pursue these roles, applying their expertise in architectural and interior design across various professional opportunities. Course Expectations: Maintain a dedicated notebook to compile your study notes. Schedule makeup sessions for any missed coursework, subject to available time slots. Keep meticulous notes and maintain a design folder to track your progress and nurture creative ideas. Allocate specific time for independent practice and project work. Attain certification from the esteemed professional design team. Post-Course Proficiencies: Upon successful course completion, you will achieve the following: Develop confidence in your software proficiency and a solid grasp of underlying principles. Demonstrate the ability to produce top-tier visuals for architectural and interior design projects. Feel well-prepared to pursue positions, armed with the assurance of your software expertise. Continued Support: We are pleased to offer lifetime, complimentary email and phone support to promptly assist you with any inquiries or challenges that may arise. Software Accessibility: Access to the required software is available through either downloading it from the developer's website or acquiring it at favorable student rates. It is important to note that student software should be exclusively utilized for non-commercial projects. Payment Options: To accommodate your preferences, we provide a range of payment options, including internet bank transfers, credit cards, debit cards, and PayPal. Moreover, we offer installment plans tailored to the needs of our students. Course Type: Certification. Course Level: Basic to Advanced. Time: 09:00 or 4 pm (You can choose your own day and time once a week) (Monday to Friday, 09 am to 7 pm, you can choose anytime by advance booking. Weekends can only be 3 to 4 hrs due to heavy demand on those days). Tutor: Industry Experts. Total Hours: 120 Price for Companies: £3500.00 (With VAT = £4200) For Companies. Price for Students: £3000.00 (With VAT = £3600) For Students.

MICROBLADING HAS BECOME ONE OF THE BIGGEST BEAUTY TRENDS AND THIS MICROBLADING TRAINING COURSE IS IDEAL FOR STUDENTS THAT WANT TO SPECIALISE SOLELY IN MICROBLADED BROWS.

Business Process Modeling This course is part of IIL's Business Analysis Certificate Program (BACP), a program designed to help prepare individuals pass the IIBA® Certification exam to become a Certified Business Analysis Professional (CBAP®). Learn more at www.iil.com/bacp A process model is a description of a process in terms of its steps or actions, the data flowing between them and participants in the process, machines, systems, and organizations involved. Modeling is a critical business analysis skill. It applies graphical and text communication techniques to describe the actions, objects, and relationships acted upon in the process and the steps that act upon them. This course teaches the technique of process modeling and ties together the core methods of process, behavior, and data modeling to enable business analysts to fully describe business processes in levels of detail from multiple perspectives. What you will Learn Upon completion, participants will be able to: Identify business processes and their components Work with UML diagrams Use process modeling in business diagramming Diagram and model business processes Foundation Concepts The role of the business analyst The IIBA® BABOK® Knowledge Areas Business Process Modeling (BPM) and the business analyst A practical approach to business process modeling The Context for Modeling Business Processes Overview of context for business process modeling Analyzing stakeholder information Modeling best practices Critical inputs for BPM: Business Rules Critical inputs for BPM: Context Diagrams Data Models Overview of data modeling Entity relationship diagrams Object-oriented approach Class diagrams Other data models Process Models - Part I (Non-UML) Overview of process modeling Data flow diagrams Workflow diagrams Flowcharts Process Models - Part II (UML) Overview of UML Process Models UML Activity Diagrams UML Sequence Diagrams Usage Models - Part I (Non-UML) Overview of usage modeling Prototyping options Static prototyping and storyboards Dynamic prototyping User Interface Design and user stories Usage Models - Part II (UML Use Cases) Overview of Use Cases Use Case diagrams Use Case descriptions Use Cases and the product life cycle Integrating the Models Overview of integrating the models General analysis best practices Specific analysis techniques summary Best practices for transition to design Summary and Next Steps What did we learn and how can we implement this in our work environments?

About this Training Course There are various kinds of geophysical data available. They are separated into seismic and non-seismic (multi-physics) data. Non-seismic or multi-physics data (which includes gravity, magnetics, electrical, electromagnetics, spectral etc - apart from providing complimentary information to seismic) is the main source of information for very shallow subsurface applications such as engineering, mapping pollution, archaeology, geothermal energy, and related areas. This 5 full-day blended course will focus specifically on seismic data which is the main method used in the Oil & Gas industry. In this blended course, participants will be equipped to understand that seismic data represents the movement of the surface, resulting from waves generated by a source, dynamite or vibrator which are reflected by changes in the subsurface rocks. The basic principles of acquisition and processing will be explained and insights into advanced methods, allowing a much more accurate interpretation of seismic data than previously considered possible, will also be provided. This blended course contains an introduction to Machine Learning and its important role in all aspects of seismic acquisition, processing, and interpretation. There is no need to know in detail how the algorithms work internally but it is necessary to know how to use them correctly to achieve optimum results. Training Objectives By attending this course, participants will be able to acquire the following: Obtain an understanding of the strengths and limitations of geophysical methods, specifically seismic, and the costs and risks involved, and how to reduce these. Be able to communicate more effectively with staff in other disciplines. Understand the potential applications of seismic data and know how to formulate the requirements needed for prospect and field evaluation. Gain an awareness of modern seismic technology. Apply the learning in a series of practical, illustrative exercises. Know what types of questions to ask to assess the necessary quality of a seismic project in its role in a sequence of E&P activities Target Audience The blended course is intended for non-geophysicists who have intensive interaction with geophysicists. But it may be of interest to those who want to know about the recent progress made in geophysics, leading to amazing imaging results, which could not be imagined a decade ago. The blended course will bring to the attention of the geologists, petrophysicists and reservoir/petroleum engineers an awareness of how the data they will work with is acquired and processed by the geophysicist. It will introduce the concepts that are of importance in geophysics and thus relevant for non-geophysicists to know and be able to communicate with geophysicists as well as formulate their requests. Course Level Intermediate Trainer Your expert course leader has degree in Geology (University of Leiden), a Master's degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on 'Full wave theory and the structure of the lower mantle'. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the 'shadow zone' of the core. These observations were then translated into rock properties of the D' transition zone. After his PhD, he joined Shell Research in The Netherlands to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. He subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben. As part of the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands, he headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of 'Contractor' software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that period, he was also a part-time professor in Applied Geophysics at the University of Utrecht. From 2001 to 2005, he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, he became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After his retirement from Shell, he founded his own company, specialising in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating 'Artificial Intelligence' in his courses, he also developed a dedicated Machine Learning course for geophysics. 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 post training support and fees applicable Accreditions And Affliations

About this Course This 5 full-day course presents the most modern statistical and mathematical forecasting frameworks used by practitioners to tackle the load forecasting problem across short time and long time scales. The course presents practical applications to solving forecasting challenges, supported by real life examples from large control areas. It presents the weather impacts on the load forecasts and the methodologies employed to quantify the weather effect and building a repository of weather normal data. A good load forecast methodology must improve its forecasting accuracy and support a consistent load forecasting process. The load forecasting widely used in the power industry has evolved significantly with the advancement and adoption of Artificial Intelligence techniques such as Machine Learning. With the increased penetration of inverter-based resources, the operation of electric grids grew in complexity, leading to load forecasts that are updated more frequently than once a day. Furthermore, several jurisdictions adopted a smaller granularity than the hourly load forecasts in the effort to reduce the forecasting uncertainties. On the generation side, fuel forecasting professionals must meet energy requirements while making allowance for the uncertainty on both the demand and the supply side. This training course will also feature a guest speaker, who is a Ph.D candidate to provide insights into the most modern aspects of Artificial Intelligence in the context of load forecasting. Training Objectives This course offers a comprehensive approach to all aspects of load forecasting: Gain a perspective of load forecasting from both operators in the generating plant and system operators. Understand and review the advanced load forecasting concepts and forecasting methodologies Learn the application of Artificial Neural Networks and Probabilistic Forecasting methods to manage forecasting uncertainties in short time frames Appreciate market segmentation and econometric framework for long term forecasts Find out the most recent practical application of load forecasting as examples from large power companies Get access to recent industry reports and developments Target Audience Energy load forecasting professionals from power plant and system operators Energy planners and energy outlook forecasters and plant operators Fuel procurement professionals Planners and schedulers of thermal generating units Course Level Intermediate Trainer Your expert course instructor 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. Our Key expert delivered over 60 specialized seminars to executives and engineers from Canada, Europe, South and North America, Middle East, South East Asia and Japan. Few examples are: Modern Power System in Digital Utilities - The Energy Commission, Malaysia and utilities in the Middle East, GCCIA, June 2020 Assessment of OETC Control Centre, Oman, December 2019 Demand Side management, Load Forecasting in a Smart Grid, Oman, 2019 Renewable Resources in a Smart Grid (Malaysia, Thailand, Indonesia, GCCIA, Saudi Arabia) The Modern Power System: Impact of the Power Electronics on the Power System The Digital Utility, AI and Blockchain Smart Grid and Reliability of Distribution Systems, Cyme, Montreal, Canada Economic Dispatch in the context of an Energy Market (TNB, Sarawak Energy, Malaysia) Energy Markets, Risk Assessment and Financial Management, PES, IEEE: Chicago, San Francisco, New York, Portugal, South Africa, Japan. Provided training at CEO and CRO level. Enterprise Risk methodology, EDP, Portugal Energy Markets: Saudi Electricity Company, Tenaga National Berhad, Malaysia Reliability Centre Maintenance (South East Asia, Saudi Electricity Company, KSA) EUSN, ENERGY & UTILITIES SECTOR NETWORK, Government of Canada, 2016 Connected+, IOT, Toronto, Canada September 2016 and 2015 Smart Grid, Smart Home HomeConnect, Toronto, Canada November 2014 Wind Power: a Cautionary Tale, Ontario Centre for Public Policy, 2010 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 post training support and fees applicable Accreditions And Affliations