TETRA training course description This 2 day training course covers the network architecture required for TETRA. It also looks at the Air Interface, TETRA Functions and Procedures. What will you learn Describe the TETRA Architecture Describe the Air Interface Explain the TETRA Functions Explain the TETRA Procedures TETRA training course details Who will benefit: Anyone working with TETRA. Prerequisites: None. Duration 2 days TETRA training course contents Introduction History of PMR, ETSI development, Tetra function, Tetra markets, Tetra standards, Tetra supplier base, Tetra Release 1, Tetra Release 2. Network Architecture Mobile network Identity, Mobile stations, Base station, Switching & Management, Addresses & Identitie. Air Interface Modulation, TDMA Format, FD, Framin, Burst format, Traffic Channel TCH, Dedicated Channel DCC, Common Control Channel CCC, Signalling Channel SCH, Logical Control mapping LCM, Protocol stack, Voice coded. TETRA Functions Trunked mode operation, User hierarchies, Individual calling, Group calling, Supplementary services, Voice and Data, Data services, Direct mode operation, Tetra WAP, Circuit mode priorities, Circuit mode data, Packet mode data, Discrete and Ambient listening. Automatic vehicle locator. TETRA Procedures MS operational modes, Mobility management, Cell selection, Security & Authentication, Decryption options, Cell setup, Channel assignment, Network management - internal, Network management -external, PSTN Gateway, ISDN Gateway, Control Room Gateway.
Project Management Fundamentals: Virtual In-House Training Many projects are performed by highly competent and effective people who have little or no project management training. They perform projects like process improvement, marketing campaign development, new product development, event planning and production, and other 'tasks' which are projects. Project Management Fundamentals (PMF) is designed to support those people who need a solid foundation in project management, without being unnecessarily burdened to learn it while on the job. The course offers practical skills, concepts, and principles that can be taken back to the workplace, along with insights needed to adapt them to specific project environments. In today's environment, that means possibly adapting to Agile / Iterative methods. So, we have recently added key Agile concepts to provide a basic understanding of shifting towards agility. Since PMF's course goal is to achieve quality performance by learning effective planning and control, the focus is on a process orientation and an analytical, systems-oriented approach. Together, these frameworks promote project-related problem solving and decision-making skills necessary for real world projects. They honor project needs for collaboration, clear communications among people, and interpersonal and relationship skills. Recognition of these needs are woven throughout PMF, but are highlighted in two specific areas: Module 2 - People and Projects Module 8 - Executing, Communicating, and Developing the Team
About this Virtual Instructor Led Training (VILT) This 4 half-day Virtual Instructor Led Training (VILT) course will address a variety of contract and loan structuring issues associated with geothermal energy projects as well as comparison with solar, wind and battery storage. The course is designed to investigate how various project finance techniques and contract structures can be used to achieve a competitive power prices while maintaining a satisfactory equity return. Distinctive project finance features of power facilities that depend on geothermal, wind, hydro or solar resources will be evaluated with financial models. The course will cover economic analysis of exploration and development of geothermal facilities and how to incorporate probability of failure and success into an IRR framework. Subsequent sessions will address the theory underlying liquidated damages for delay, and performance as well as design of other incentives that is inherent in different contract structures. Nuanced project finance issues associated with structuring debt for renewable projects will be discussed including under what conditions the DSCR drives debt capacity and when the debt to capital ratio is instrumental. The course will be taught with a combination of theoretical discussions, term sheet review and focused financial models. Training Objectives Evaluation of the economic risks that arise from uncertainty associated with drilling exploration wells and development wells for geothermal projects. Analyse the theoretical issues with computing LCOE for geothermal projects compared to other renewable and non-renewable resources and the importance of cost of capital for renewable projects; Understand differences in contract structures for renewable projects and dispatchable projects and how a single price structure can distort incentives for efficient construction and operation; Understand components of financing that influence the bid price required to meet a required rate of return on equity and can result in relatively low prices with reasonable returns. Understand the importance of debt sizing constraints and what strategies are relevant when the debt to capital constraint applies relative to when the debt service coverage ratio drives the debt size; Understand how to compute P50, P90 and P99 for different projects driven by resource risk; Understand the difference between mean reverting resource variation and estimation mistakes that do not correct as the basis for 1-year P90 and 10-year P90. Understand under what conditions debt sculpting can affect returns and how synthetic sculpting can be used to increase returns when the DSCR constraint applies. Understand the theory of credit spreads, variable rate debt and interest rates in different currencies and compute the implied probability of default that in inherent in credit spreads. Understand how to evaluate the costs to equity investors and the benefits to lenders for various credit enhancements including DSRA accounts, cash flow sweeps and covenants. Course Level Basic or Foundation Training Methods The VILT will be delivered online in 4 sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day, including time for lectures, discussion, quizzes and short classroom exercises. Trainer Your expert course leader provides financial and economic consulting services to a variety of clients, he teaches professional development courses in an assortment of modelling topics (project finance, M&A, and energy). He is passionate about teaching in Africa, South America, Asia and Europe. Many of the unique analytical concepts and modelling techniques he has developed have arisen from discussion with participants in his courses. He has taught customized courses for MIT's Sloan Business School, Bank Paribas, Shell Oil, Society General, General Electric, HSBC, GDF Suez, Citibank, CIMB, Lind Lakers, Saudi Aramco and many other energy and industrial clients. His consulting activities include developing complex project finance, corporate and simulation models, providing expert testimony on financial and economic issues before energy regulatory agencies, and advisory services to support merger and acquisition projects. Our key course expert has written a textbook titled Corporate and Project Finance Modelling, Theory and Practice published by Wiley Finance. The book introduces unique modelling techniques that address many complex issues that are not typically used by even the most experienced financial analysts. For example, it describes how to build user-defined functions to solve circular logic without cumbersome copy and paste macros; how to write function that derives the ratio of EV/EBITDA accounting for asset life, historical growth, taxes, return on investment, and cost of capital; and how to efficiently solve many project finance issues related to debt structuring. He is in the process of writing a second book that describes a series of valuation and analytical mistakes made in finance. This book uses many case studies from Harvard Business School that were thought to represent effective business strategies and later turned into valuation nightmares. Over the course of his career our key course expert has been involved in formulating significant government policy related to electricity deregulation; he has prepared models and analyses for many clients around the world; he has evaluated energy purchasing decisions for many corporations; and, he has provided advice on corporate strategy. His projects include development of a biomass plant, analysis and advisory work for purchase of electricity generation, distribution and transmission assets by the City of Chicago, formulation of rate policy for major metro systems and street lighting networks, advocacy testimony on behalf of low income consumers, risk analysis for toll roads, and evaluation of solar and wind projects. He has constructed many advisory analyses for project finance and merger and acquisition transactions. Lastly, our key course expert was formerly Vice President at the First National Bank of Chicago where he directed analysis of energy loans and also created financial modelling techniques used in advisory projects. He received an MBA specializing in econometrics (with honours) from the University of Chicago and a BSc in Finance from the University of Illinois (with highest university honours). 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
Give your team the opportunity to pause and reflect on what matters most to them about the work they do. The act of listening to each other creates relationship and strengthens trust and inclusion within the team – in creating a shared vision, groups of people build a sense of commitment together. Using the PATH or MAP processes of group facilitation and the creating of a large wall sized graphic we will provide a School Improvement Plan to be proud of! Course Category Visioning and Problem Solving Person Centred Planning Strategic Work Team Building and Leadership Description There is an old Japanese proverb, “Vision without action is a daydream. Action without vision is a nightmare” “There is no power for change greater than a community discovering what it cares about” MARGARET WHEATLEY – ‘TURNING TO ONE ANOTHER’ (2002) Give your team the opportunity to pause and reflect on what matters most to them about the work they do. The act of listening to each other creates relationship and strengthens trust and inclusion within the team – in creating a shared vision, groups of people build a sense of commitment together. They develop images of ‘the future we want to create together’, along with the values that will be important in getting there and the goals they want to see achieved along the way. Unfortunately, many people still think ’vision’ is the top leader’s job. In schools, the ‘vision task’ usually falls to the Headteacher and/or the governors or it comes in a glossy document from the local authority or the DfES. But visions based on authority are not sustainable. Drawing on the planning tools MAPS and PATH (Pearpoint, Forest and O’Brien 1997) and other facilitation sources we use both process and graphic facilitation to enable the group to build their picture of what they would love to see happening within their organisation/community in the future and we encourage this to be a positive naming, not just a list of the things they want to avoid. ??Let us join you to explore your vision and the ‘roadblocks’ to your vision. Testimonials “Thank you so much for the work you did with us yesterday – I have since been in 2 schools today and have spoken to an number of other colleagues who were present – all were totally overwhelmed by the session – they loved it.” “I was totally blown away, so nice to reflect and realise what a long way we have come” “That was so powerful and motivational” “Our Primary is now an OFSTED rated ‘Outstanding School’ – we were in Special Measures – the Visioning and Planning using the PATH process for 3 years has seriously contributed to this”. Learning Objectives To create a far reaching and shared vision of the future for the school team/group you are working with and ensure that each person present contributes to this To create a visual representation (a graphic) of the vision and use this to plan future actions and to inform school improvement and development plans To facilitate the group in thinking through what some of the barriers to achieving their vision are and to begin work on how these can be removed To build a sense of commitment, common purpose and trust within the team/group Who Is It For ? Headteachers School managers EIP Managers Whole staff – including everyone Course Content The facilitation of a shared vision can be delivered as a full or a half day but, unlike our other training days this day depends on your and your team’s needs and the time you have available The course will cover: Creating the vision The Story So Far Headline Themes Naming the Nightmare A Year from Now Naming Roadblocks and Barriers Building strength Who will we need to take with us on the journey towards the vision Who are we? – Gifts, Strengths and Talents Charting Specific Actions
Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company
Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company
Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company
Bekah Legg, CEO of Restored, leads this webinar on how to raise our families with a culture of consent in a highly sexualised world.
Duration 5 Days 30 CPD hours This course is intended for The C|CT is ideal for anyone looking to start their career in cybersecurity or add a strong foundational understanding of the cybersecurity concepts and techniques required to be effective on the job. The course is especially well suited to: Early-career IT professionals, IT managers, career changers, and career advancers Students and recent graduates Overview After completing this course, you will understand: Key concepts in cybersecurity, including information security and network security Information security threats, vulnerabilities, and attacks The different types of malware Identification, authentication, and authorization Network security controls Network security assessment techniques and tools (threat hunting, threat intelligence, vulnerability assessment, ethical hacking, penetration testing, configuration and asset management) Application security design and testing techniques Fundamentals of virtualization, cloud computing, and cloud security Wireless network fundamentals, wireless encryption, and related security measures Fundamentals of mobile, IoT, and OT devices and related security measures Cryptography and public-key infrastructure Data security controls, data backup and retention methods, and data loss prevention techniques Network troubleshooting, traffic and log monitoring, and analysis of suspicious traffic The incident handling and response process Computer forensics and digital evidence fundamentals, including the phases of a forensic investigation Concepts in business continuity and disaster recovery Risk management concepts, phases, and frameworks EC-Council?s C|CT certification immerses students in well-constructed knowledge transfer. Training is accompanied by critical thinking challenges and immersive lab experiences that allow candidates to apply their knowledge and move into the skill development phase in the class itself. Upon completing the program, C|CT-certified professionals will have a strong foundation in cybersecurity principles and techniques as well as hands-on exposure to the tasks required in real-world jobs. Course Outline Information Security Threats and Vulnerabilities Information Security Attacks Network Security Fundamentals Identification, Authentication, and Authorization Network Security Controls: Administrative Controls Network Security Controls: Physical Controls Network Security Controls: Technical Controls Network Security Assessment Techniques and Tools Application Security Virtualization and Cloud Computing Wireless Network Security Mobile Device Security Internet of Things (IoT) and Operational Technology (OT) Security Cryptography Data Security Network Troubleshooting Network Traffic Monitoring Network Log Monitoring and Analysis Incident Response Computer Forensics Business Continuity and Disaster Recovery Risk Management
Duration 4 Days 24 CPD hours This course is intended for Software engineers concerned with building, managing and deploying AI solutions that leverage Azure AI Services, Azure AI Search, and Azure OpenAI. They are familiar with C# or Python and have knowledge on using REST-based APIs to build computer vision, language analysis, knowledge mining, intelligent search, and generative AI solutions on Azure. AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage?Azure AI Services,?Azure AI Search, and?Azure OpenAI. The course will use C# or Python as the programming language. Prerequisites Before attending this course, students must have: Knowledge of Microsoft Azure and ability to navigate the Azure portal Knowledge of either C# or Python Familiarity with JSON and REST programming semantics Recommended course prerequisites AI-900T00: Microsoft Azure AI Fundamentals course 1 - Prepare to develop AI solutions on Azure Define artificial intelligence Understand AI-related terms Understand considerations for AI Engineers Understand considerations for responsible AI Understand capabilities of Azure Machine Learning Understand capabilities of Azure AI Services Understand capabilities of the Azure Bot Service Understand capabilities of Azure Cognitive Search 2 - Create and consume Azure AI services Provision an Azure AI services resource Identify endpoints and keys Use a REST API Use an SDK 3 - Secure Azure AI services Consider authentication Implement network security 4 - Monitor Azure AI services Monitor cost Create alerts View metrics Manage diagnostic logging 5 - Deploy Azure AI services in containers Understand containers Use Azure AI services containers 6 - Analyze images Provision an Azure AI Vision resource Analyze an image Generate a smart-cropped thumbnail 7 - Classify images Provision Azure resources for Azure AI Custom Vision Understand image classification Train an image classifier 8 - Detect, analyze, and recognize faces Identify options for face detection analysis and identification Understand considerations for face analysis Detect faces with the Azure AI Vision service Understand capabilities of the face service Compare and match detected faces Implement facial recognition 9 - Read Text in images and documents with the Azure AI Vision Service Explore Azure AI Vision options for reading text Use the Read API 10 - Analyze video Understand Azure Video Indexer capabilities Extract custom insights Use Video Analyzer widgets and APIs 11 - Analyze text with Azure AI Language Provision an Azure AI Language resource Detect language Extract key phrases Analyze sentiment Extract entities Extract linked entities 12 - Build a question answering solution Understand question answering Compare question answering to Azure AI Language understanding Create a knowledge base Implement multi-turn conversation Test and publish a knowledge base Use a knowledge base Improve question answering performance 13 - Build a conversational language understanding model Understand prebuilt capabilities of the Azure AI Language service Understand resources for building a conversational language understanding model Define intents, utterances, and entities Use patterns to differentiate similar utterances Use pre-built entity components Train, test, publish, and review a conversational language understanding model 14 - Create a custom text classification solution Understand types of classification projects Understand how to build text classification projects 15 - Create a custom named entity extraction solution Understand custom named entity recognition Label your data Train and evaluate your model 16 - Translate text with Azure AI Translator service Provision an Azure AI Translator resource Specify translation options Define custom translations 17 - Create speech-enabled apps with Azure AI services Provision an Azure resource for speech Use the Azure AI Speech to Text API Use the text to speech API Configure audio format and voices Use Speech Synthesis Markup Language 18 - Translate speech with the Azure AI Speech service Provision an Azure resource for speech translation Translate speech to text Synthesize translations 19 - Create an Azure AI Search solution Manage capacity Understand search components Understand the indexing process Search an index Apply filtering and sorting Enhance the index 20 - Create a custom skill for Azure AI Search Create a custom skill Add a custom skill to a skillset 21 - Create a knowledge store with Azure AI Search Define projections Define a knowledge store 22 - Plan an Azure AI Document Intelligence solution Understand AI Document Intelligence Plan Azure AI Document Intelligence resources Choose a model type 23 - Use prebuilt Azure AI Document Intelligence models Understand prebuilt models Use the General Document, Read, and Layout models Use financial, ID, and tax models 24 - Extract data from forms with Azure Document Intelligence What is Azure Document Intelligence? Get started with Azure Document Intelligence Train custom models Use Azure Document Intelligence models Use the Azure Document Intelligence Studio 25 - Get started with Azure OpenAI Service Access Azure OpenAI Service Use Azure OpenAI Studio Explore types of generative AI models Deploy generative AI models Use prompts to get completions from models Test models in Azure OpenAI Studio's playgrounds 26 - Build natural language solutions with Azure OpenAI Service Integrate Azure OpenAI into your app Use Azure OpenAI REST API Use Azure OpenAI SDK 27 - Apply prompt engineering with Azure OpenAI Service Understand prompt engineering Write more effective prompts Provide context to improve accuracy 28 - Generate code with Azure OpenAI Service Construct code from natural language Complete code and assist the development process Fix bugs and improve your code 29 - Generate images with Azure OpenAI Service What is DALL-E? Explore DALL-E in Azure OpenAI Studio Use the Azure OpenAI REST API to consume DALL-E models 30 - Use your own data with Azure OpenAI Service Understand how to use your own data Add your own data source Chat with your model using your own data 31 - Fundamentals of Responsible Generative AI Plan a responsible generative AI solution Identify potential harms Measure potential harms Mitigate potential harms Operate a responsible generative AI solution