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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

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About this Virtual Instructor Led Training (VILT) This 3 half-day Virtual Instructor Led Training (VILT) course highlights the impact of the introduction of renewable energy, digital technologies and new operational flexibility solutions in the electricity trading market. These advancements facilitate unique opportunities and challenges for cross border trading of electricity. Most countries in Asia, have designed their own portfolio of climate actions with an accelerated penetration of renewable energy (or by importing renewable energy into their local grids). These changes are taking place at unprecedented speed and add further complexity to the operation of electricity trading markets, while presenting new opportunities. The Asian market, can tap into its vast potential of solar, wind and geothermal energy sources. A global, unified vision is emerging to support each of countries' energy needs and decarbonization goals. This VILT course will highlight priorities of each country to achieve its energy goals. The main operational flexibilities of each type of renewable resource are discussed in detail. The course also discusses the main components of Power Purchase Agreements and advancements in digitalization and how digital technologies can influence the energy market and cross border electricity trading. Key Takeaways: New Energy Market Design Cross Border Trading PPAs Mechanisms and Examples of PPAs The Increased Penetration of Renewable Resources in the Power Systems and How It Stimulates Cross Border Trading How Digital Innovation Drives Energy Markets and Cross Border Trading Training Objectives Upon completion of this VILT course, participants will be able to: Be familiar with the global vision of One Sun, One World, One Grid Understand the major trends reshaping the energy markets Learn how innovative digital technologies change the energy markets Understand why sustainable energy markets require a tighter coordination between transmission and distribution system operators Engage with each other to design the energy market of the future Target Audience This VILT course will benefit policy makers and regulators from energy agencies, transmission companies and utilities as well as power system engineers and power system operators from control centre and ISO. Training Methods The VILT will be delivered online in 3 half-day sessions comprising 4 hours per day, including time for lectures, discussion, quizzes and short classroom exercises. Course Duration: 3 half-day sessions, 4 hours per session (12 hours in total). Trainer Your 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. 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 about post training coaching support and fees applicable for this. Accreditions And Affliations

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Do you have the skills and experience it takes to become a Human Givens Supervisor? Would you like to take your HG career to the next level? Course Dates: see below Length: 6 days (9.30am – 5.30pm) Venue: Leeds Tutors: Julian Penton, Rosalind Townsend Course requirements: See below Qualification: HG Supervisor / Supervisor-tutor This intensive 6 days of tuition, feedback, skills practice and ongoing assessment is your route to becoming a fully-qualified human givens supervisor. Effective supervision offers many opportunities for learning and growth, as well as providing invaluable support. Successfully completing this training will enable you to work as a supervisor-tutor with Part 3 trainees and as a supervisor with qualified HG therapists. What you will learn What HG supervision is and an understanding of the governance framework A structured approach to supporting a trainee though Part 3 How to support an experienced therapist How learning and memory works and why this matters How to use a range of supervisory approaches, methods and techniques How to assess and give feedback and how to notice if that has been received A deeper understanding of ethics, your role and your responsibilities How to address concerns about supervisees How to support a supervisee who is subject to a complaint   The HG Supervisor-tutor’s Role How you will be assessed This course is designed to enhance the growth and development of your knowledge and skills, your understanding and practice and to assess your competence as a supervisor-tutor. It is therefore a combination of assessment and learning. Throughout the course, therapists practise and demonstrate through discussion, exploration and reflection, a broad range of skills and topics. Assessment will be on-going throughout the course by the two highly experienced tutors and you will also be given feedback from your peers and the experienced facilitators. Why apply Becoming a supervisor isn’t just about taking the next step; being a good supervisor also brings with it a wealth of new opportunities: Collaborative working Own learning and development Stretch and challenge – in a different way to therapy Career progression Quarterly CPD events Annual Supervisors’ CPD day Supervisors Peer Group Deadline for applications – to be advised when the next course dates are announced (provisionally Spring 2025) – how to apply. Course requirements: To apply, you must be an experienced HG therapist who has delivered a minimum of 1,000 sessions of one-to-one HG therapy and is registered with the HGI You must have the support of your supervisor/s, and Submit the information required by the application process by the deadline (this will be announced when we have the next course dates available, provisionally Spring 2025). Course Dates The HG Supervisor course is made up of two blocks of 3 days, held approx. a month apart. We typically run our supervisor training once every 18–24 months. The next course is provisionally planned for the Spring of 2025 – if you are interested in applying, please let us know via the form below. Next course: Part 1: Thursday–Saturday – dates TBC Part 2: Thursday–Saturday – dates TBC Venue:  Novotel Leeds Centre Hotel, Leeds Please note:  There are only 12 places available on this course, all subject to the application process. Meet your tutors Julian Penton Julian is a Human Givens (HG) practitioner who for the past 20 years has been mentoring HG therapists, teaching various HG seminars & workshops and delivering the HG College’s HG supervision training course. Read more Rosalind Townsend Ros Townsend is an experienced psychotherapist and supervisor with busy practices in SW England, where she combines private therapy work with referrals from Occupational Health and the NHS. Read more

Professional GHSC accredited hypnotherapy practitioner training course studied either live online from anywhere or in-person at clinic in Perthshire, Scotland

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