3031 Design courses in Cowdenbeath delivered Live Online

Leisure and Health is a vital part of the broader health care sector. Participating in recreational activities is a wonderful way for older people to engage, interact, learn and maintain a level of enjoyment for life.

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

Overview This Private Banking & Wealth Management training course is designed to give you the skills to acquire, protect/preserve, enjoy and pass on wealth. As a result, it is specifically designed for those working in the industry as well as those with an interest in investments and markets.

Historical Association webinar series: Building different types of historical knowledge Presenters: Claire Holliss This third session will focus on how a range of different teachers have dealt with student misconceptions about interpretations. It will first consider how teachers have helped their students to read the work of historians sensitively and will then discuss how teachers have designed teaching sequences to build students’ understanding of this aspect of the discipline.   To use your corporate webinar offer on this webinar please fill in this form: https://forms.office.com/e/9JZCQ0RUkJ

Community services refers to a broad range of programs and services that help people in need, including aged care, disability, youth work, drug and alcohol services, employment programs and more.

This full day workshop is designed to follow on and build on the learning from the 1-hour webinar to provide an embedded learning experience leading to acceptance and change of culture around neurodiversity. We understand the pressure managers can experience working within a neurodiverse team, this training is designed with managers in mind.

Duration 5 Days 30 CPD hours This course is intended for Experienced VMware administrators, automation and orchestration specialists, system integrators, and private cloud and public cloud administrators Overview By the end of the course, you should be able to meet the following objectives: Describe the features and benefits of integrating vRealize Orchestrator and vRealize Automation Describe the role of vRealize Orchestrator workflows and content elements in automation Use the vRealize Orchestrator client to access and navigate the vRealize Orchestrator platform Use the vRealize Orchestrator client to import and run vRealize Orchestrator library workflows Design, develop, and run custom reusable vRealize Orchestrator workflows Integrate vRealize Automation with vRealize Orchestrator to deliver custom IT services Use the vRealize Automation event broker service to trigger specific vRealize Orchestrator workflows or ABX Actions Leverage the event broker to extend IaaS (Infrastructure-as-a-Service) machine lifecycle processes Use XaaS to extend vRealize Automation into other enterprise systems Use VMware APIs to run vRealize Orchestrator workflows Use the vSphere Client Code Capture feature During this five-day course, you focus on using VMware vRealize© Orchestrator? to extend the functionality of VMware vRealize© Automation?. You learn how to provide XaaS (Anything as a Service) and implement Machine Lifecycle Extensibility using the VMware vRealize© Automation? Event Broker. You also learn how to create vRealize Orchestrator workflows and vRealize Automation ABX actions. You learn about various features, including basic scripting implementation along with logic processing to implement a variety of functions to use in your environment. This course teaches implementing debugging, loops, conditions, and user interactions in vRealize Orchestrator. The course introduces the new vRealize Orchestrator HTML 5 interface, along with API calls and REST functions, to give you the groundwork to implement a variety of plugins and scripts. This course is designed to give you the tools to craft custom solutions in the product. Course Introduction Introductions and course logistics Course objectives Overview of vRealize Automation and vRealize Orchestrator Define the purpose of vRealize Automation Outline the purpose of vRealize Orchestrator Describe the main components of vRealize Automation Describe the main components of vRealize Orchestrator Creating Schema Elements Invoking JavaScript from a vRealize Orchestrator workflow Invoking a vRealize Orchestrator Workflow from a vRealize Orchestrator workflow Invoking an action from a vRealize Orchestrator workflow Using vRealize Orchestrator workflows both synchronously and asynchronously Working with Variables Defining inputs, outputs, and variables in vRealize Orchestrator workflows Binding variables in vRealize Orchestrator workflows Wrapping vRealize Orchestrator workflows Using APIs and the API Explorer Creating actions in vRealize Orchestrator Using vRealize Orchestrator input forms Handling user interactions in vRealize Orchestrator Handling Exceptions, Logging, and Debugging Handling exceptions in vRealize Orchestrator workflows Using logs in vRealize Orchestrator workflows Debugging vRealize Orchestrator workflows Branching and Looping Using branching in vRealize Orchestrator workflows Using loops in vRealize Orchestrator workflows Working with Assets Using configuration elements in vRealize Orchestrator Using resources in vRealize Orchestrator Using packages in vRealize Orchestrator Working with Plug-Ins Downloading and installing Plug-Ins Using the SSH plug-In in vRealize Orchestrator Using the REST plug-in in vRealize Orchestrator Using the vRealize Automation plug-in in vRealize Orchestrator Using the PowerShell plug-in in vRealize Orchestrator Working with Versioning and Git Using versioning in vRealize Orchestrator Using Git in vRealize Orchestrator Scheduling, Sleeping, and Waiting Using scheduling in vRealize Orchestrator Using sleeping in vRealize Orchestrator Using waiting in vRealize Orchestrator Introduction to vRealize Automation Extensibility Introduction to extensibility Using ABX actions Using Python Using Nodejs Using PowerShell Using vRealize Automation Lifecycle Extending vRealize Automation with Event Broker Overview of vRealize Automation Event Broker Creating vRealize Automation subscriptions Data exchange between vRealize Automation and vRealize Orchestrator Using ABX Actions Overview of Action Based Extensibility (ABX) Comparison of vRealize Orchestrator and ABX Creating ABX Actions scripts, REST, and flows Using Day-2 Actions in vRealize Automation Describe the visualization capabilities of NSX Network Detection and Response Working with Services, Custom Resources, and Resource Actions Using vRealize Orchestrator as a content source in vRealize Automation Creating custom resources in vRealize Automation Creating resource actions in vRealize Automation Using Day-2 Actions in vRealize Automation Using vSphere Client Code Capture Enabling vSphere Client code capture Using vSphere Client code capture to capture code in vRO, Javascript, PowerCLI or other languages. Using the captured code in vRealize Orchestrator workflows or actions.

Overview To achieve maximum effectiveness, managers and professionals must continually expand their business knowledge and sharpen their skills. This program is designed to achieve this goal in a time-efficient manner. Integration of Downstream Refining and Petrochemicals to achieve greater efficiencies is yet another critical factor in this business which will be covered in this course

Overview Budgeting is the core activity of financial management used to make organisations effective and efficient in service delivery. Organisations deliberately strengthen their acts of budgeting, as part of their financial management, in order to enhance their effectiveness. This course has been designed to educate participants on how to prepare and use budgets in their organisations.

Overview The development, monitoring, and continued improvement of a highly-integrated, internal audit function is essential for the continued financial success, stability, and growth of world-class business entities. A well-designed and effective internal audit system will provide verification and support that accounting and financial policies, procedures, and controls are working adequately and will spotlight any significant matters that need attention.