54560 Courses

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

Attend our world class Kanban University accredited Certified Kanban System Design training course and learn to implement Kanban in your company

This is the first module of a series designed to provide thorough, professional training in leatherworking and accessory making. Each module has been carefully designed to equip individuals with key skills for starting a career in this sector, broadening their industry knowledge, or embarking on their own journey with solid foundational skills. During the lesson, you will learn how to proficiently handle a variety of essential hand tools and how to distinguish leather types and understand their suitability for specific projects and techniques. You will gain insights into the technical aspects of leatherworking, including preparation, marking, cutting, gluing, reinforcing, skiving, debossing, and more. You will receive valuable handouts, curated lists of leather and tool suppliers for ongoing reference, and create personalised samples for your own reference. Summary of topics covered in the class: – Leather types, tanning, finishings, and best uses – Leather preparation, pattern placement and leather marking – Leather cutting, beveling and creasing – Leather gluing and reinforcing – Leather skiving – Tool sharpening By the end of the tuition, you will have: – Worked with a variety of tools and various leathers, creating a catalogue of samples to take home – Gained a comprehensive understanding of leather types and the ability to select the correct material for your project – Developed confidence in utilising a wide range of specific tools for leather preparation, marking, finishing, cutting and more – Acquired an understanding of working with diverse leather types and thicknesses, with the ability to source and select appropriate tools for the specific material you intend to use – Obtained a thorough understanding of the differences and best uses of reinforcements, stiffeners, and stabilisers Included in the course: You will receive useful paper handouts containing: – A list of tools and materials used during the lesson(s), with descriptions and usage instructions – A list of recommended suppliers for leather and fittings, both in London and online – A glossary of leather types and characteristics You will also be provided with catalogued material swatches, including: – Main leather types – Reinforcements, stiffeners, and stabilisers Find all modules here: https://the-london-leather-workshop.cademy.co.uk/

Adult Trachy Tracheostomy Care Tracheostomy Management Stoma Tracheostomy course

We are delighted to welcome small groups of guests onsite as we offer personal tours of our Clapham campus. Personal tours are a great opportunity to take a look at our facilities, picture yourself studying with us, and get your questions answered by one of our friendly Marketing and Admissions team. We also recommend attending one of our regular Open House events which allows you to speak with our course leaders and admissions team.

What past delegates said: "I started looking for a course in education and training when I was offered a chance to help deliver some health & safety training in my local area - I was incredibly lucky to have found Ottilia Pochat Training. Ottilia has a wealth of experience in teaching, and she managed to share those skills and techniques with us in a way that was both incredibly informative and fun! I can’t recommend Ottilia Pochat Training highly enough - why wouldn’t you want to learn how to teach from the best?" This course is fully tutor-led and teaches you how to become a good, quality trainer Virtual Classroom, this course is run over 8 weeks: 16 sessions of 2½ hour duration, from 10:00 -12:30 and 13:30 - 16:00 The virtually run course starting on Friday 7 July will be held over 8 consecutive Fridays Face to Face: Five-day course Run by a Dutch teacher who spent 4 years learning to teach and has international teaching experience in working with all age groups Course Contents Roles and responsibilities in education and training Ways to maintain a safe and supportive learning environment Relationships between teachers and other professionals Boundaries between the teaching role and other professionals Points of referral to meet the individual needs of learners Inclusive teaching, including:Ways to create an inclusive teaching and learning environmentCreating an inclusive teaching and learning planJustifying own selection of teaching and learning approaches, resources and assessment methods in relation to individual learner needsUsing teaching and learning approaches to meet learner needsEvaluating the delivery of inclusive teaching and learning including areas for improvementDelivering inclusive teaching and learning to meet individual needs Communicating with learners in a way that meets their needs Understanding assessment in education and training, including:Different methods of assessment and how they can be adapted to meet individual learner needsHow to involve learners and others in the assessment processThe role and use of constructive feedbackRecord keeping of assessments Benefits of this course: This Ofqual regulated course will allow you to work in adult education Or even, run online training sessions With this course, you'll also be able to run professional workshops Accredited, Ofqual regulated qualification Our QA Level 3 Award in Education and Training (RQF) Course is a nationally recognised, Ofqual regulated qualification accredited by Qualsafe Awards. This means that you can rest assured that your level 3 Award in Education and Training fulfils the legal requirements to kick-start your own career in Education and Training. The Ofqual Register number for this course is 603/2770/4

Duration 3 Days 18 CPD hours This course is intended for The intended audience for this course is information security and IT professionals, such as network administrators and engineers, IT managers, and IT auditors, and other individuals who want to learn more about information security, who are interested in learning in-depth information about information security management, who are looking for career advancement in IT security, or who are interested in earning the CISM certification. Overview Establish and maintain a framework to provide assurance that information security strategies are aligned with business objectives and consistent with applicable laws and regulations. Identify and manage information security risks to achieve business objectives. Create a program to implement the information security strategy. Implement an information security program. Oversee and direct information security activities to execute the information security program. Plan, develop, and manage capabilities to detect, respond to, and recover from information security incidents. In this course, students will establish processes to ensure that information security measures align with established business needs. Prerequisites Information security governance Information risk management Information security program development Information security program management Incident management and response 1 - Information Security Governance Develop an Information Security Strategy Align Information Security Strategy with Corporate Governance Identify Legal and Regulatory Requirements Justify Investment in Information Security Identify Drivers Affecting the Organization Obtain Senior Management Commitment to Information Security Define Roles and Responsibilities for Information Security Establish Reporting and Communication Channels 2 - Information Risk Management Implement an Information Risk Assessment Process Determine Information Asset Classification and Ownership Conduct Ongoing Threat and Vulnerability Evaluations Conduct Periodic BIAs Identify and Evaluate Risk Mitigation Strategies Integrate Risk Management into Business Life Cycle Processes Report Changes in Information Risk 3 - Information Security Program Development Develop Plans to Implement an Information Security Strategy Security Technologies and Controls Specify Information Security Program Activities Coordinate Information Security Programs with Business Assurance Functions Identify Resources Needed for Information Security Program Implementation Develop Information Security Architectures Develop Information Security Policies Develop Information Security Awareness, Training, and Education Programs Develop Supporting Documentation for Information Security Policies 4 - Information Security Program Implementation Integrate Information Security Requirements into Organizational Processes Integrate Information Security Controls into Contracts Create Information Security Program Evaluation Metrics 5 - Information Security Program Management Manage Information Security Program Resources Enforce Policy and Standards Compliance Enforce Contractual Information Security Controls Enforce Information Security During Systems Development Maintain Information Security Within an Organization Provide Information Security Advice and Guidance Provide Information Security Awareness and Training Analyze the Effectiveness of Information Security Controls Resolve Noncompliance Issues 6 - Incident Management and Response Develop an Information Security Incident Response Plan Establish an Escalation Process Develop a Communication Process Integrate an IRP Develop IRTs Test an IRP Manage Responses to Information Security Incidents Perform an Information Security Incident Investigation Conduct Post-Incident Reviews

Duration 2 Days 12 CPD hours This course is intended for This class has something for everything, from beginners who wish to customise their data entry forms in SharePoint right up to advanced users who need to use advanced formulas to deliver more bespoke actions to their apps. Overview After taking this course, students will be able to: - Understand when to use PowerApp. - Describe the components of PowerApps and their correct use. - Create PowerApps from existing data sources. - Brand PowerApps. - Customize PowerApps beyond just using the automated wizards. - Connect to a range of data sources from Excel to Azure SQL. - Understand the difference between canvas apps and model-driven apps. - Integrate PowerApps with other Office 365 systems ? including Teams and SharePoint Online. - Administer and Maintain PowerApps Students will be taught how to design, test and publish new apps that work with a variety of data sources. We will take users through a selection of well-crafted lessons to help them build new applications for their business. 1 - AN INTRODUCTION TO POWERAPPS What is PowerApps? The benefits of apps How to get PowerApps Canvas Apps and Model-Driven Apps License Options and Costs Discover PowerApps with Templates Lab 1: Introduction to PowerApps 2 - GETTING STARTED WITH POWERAPPS Building a new app from a data source Add, edit and remove controls Intro to Formulas Testing an app App Settings Publish and Share Apps Version History and Restore PowerApps Mobile App Lab 1: Getting Started 3 - BRANDING AND MEDIA Less is more Duplicate Screens Fonts Screen Colours and Matching Colours Screen Backgrounds Buttons and Icons Hide on Timer Size and Alignment by reference Show and Hide on Timer Lab 1: Branding and Media 4 - POWERAPPS CONTROLS Text Controls for Data Entry and Display Controls ? Drop downs, combo box, date picker, radio button and more Forms ? Add and edit data in underlying data sources quickly Charts ? present information in pie, line and bar charts Lab 1: Build Apps from Blank 5 - DATA SOURCES AND LOGIC Data Storage and Services How do I decide which database to use? Connect to on-premises data - Gateway What is Delegation? Specific Data Examples Displaying Data Lab 1: Data Source and Logic 6 - MODEL-DRIVEN APPS What is a model-driven app? Where will my data be stored? How do create a model-driven app Canvas vs model-driven summary Lab 1: Model-Driven App 7 - POWERAPP INTEGRATION Embed PowerApps in Teams Embed PowerApps in SharePoint Online Start a Flow from a PowerApp Lab 1: PowerApp Integration 8 - ADMINISTRATION AND MAINTENANCE OF POWERAPPS Identify which users have been using PowerApps Reuse an app in another location (move from testing or development to production) Review app usage Prevent a user from using PowerApps Manage environments Lab 1: Administration and Maintenance Additional course details: Nexus Humans 55265 Microsoft PowerApps training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55265 Microsoft PowerApps course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 3 Days 18 CPD hours This three-day instructor-led course is aimed at modern device management professionals looking to manage their enterprise devices using Microsoft Intune. This course will cover Enrolment, Application Management, Endpoint Security and Windows Autopilot as well as Azure Active Directory Conditional Access and Identity Protection. The delegates will learn how to enroll devices, deploy applications and manage them to maximize user productivity and device security. 1: Introduction to Microsoft Intune Mobile Device Management Microsoft Intune Azure Active Directory AAD Identity Protection AAD Conditional Access 2: Microsoft Intune Device Management Enrolling Devices Device Compliance Device Profiles Device Updates 3: Microsoft Intune Application Management Application Management Deploying Applications Application Configuration Managing Applications Policy Sets and Guided Scenarios 4: Microsoft Intune Endpoint Security Security Baselines and tasks Antivirus Disk Encryption Firewall Atack Surface reduction Endpoint detection and response Account Protection 5: Deploying Windows with Windows Autopilot Windows Autopilot overview Preparing for Windows Autopilot deployment Deploying Windows 11 using Windows Autopilot 6: Microsoft Intune Additional and Premium Features Remote Help Tunnel for Mobile Application Management Endpoint Privilege Management Advanced Endpoint Analytics Additional course details: Nexus Humans 55399 Implementing and Managing Microsoft Intune training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the 55399 Implementing and Managing Microsoft Intune course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

Duration 1 Days 6 CPD hours This course is intended for The Azure AI Fundamentals course is designed for anyone interested in learning about the types of solution artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them. You don?t need to have any experience of using Microsoft Azure before taking this course, but a basic level of familiarity with computer technology and the Internet is assumed. Some of the concepts covered in the course require a basic understanding of mathematics, such as the ability to interpret charts. The course includes hands-on activities that involve working with data and running code, so a knowledge of fundamental programming principles will be helpful. This course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions. The course is not designed to teach students to become professional data scientists or software developers, but rather to build awareness of common AI workloads and the ability to identify Azure services to support them. Prerequisites Prerequisite certification is not required before taking this course. Successful Azure AI Fundamental students start with some basic awareness of computing and internet concepts, and an interest in using Azure AI services. Specifically: Experience using computers and the internet. Interest in use cases for AI applications and machine learning models. A willingness to learn through hands-on exp... 1 - Fundamental AI Concepts Understand machine learning Understand computer vision Understand natural language processing Understand document intelligence and knowledge mining Understand generative AI Challenges and risks with AI Understand Responsible AI 2 - Fundamentals of machine learning What is machine learning? Types of machine learning Regression Binary classification Multiclass classification Clustering Deep learning Azure Machine Learning 3 - Fundamentals of Azure AI services AI services on the Azure platform Create Azure AI service resources Use Azure AI services Understand authentication for Azure AI services 4 - Fundamentals of Computer Vision Images and image processing Machine learning for computer vision Azure AI Vision 5 - Fundamentals of Facial Recognition Understand Face analysis Get started with Face analysis on Azure 6 - Fundamentals of optical character recognition Get started with Vision Studio on Azure 7 - Fundamentals of Text Analysis with the Language Service Understand Text Analytics Get started with text analysis 8 - Fundamentals of question answering with the Language Service Understand question answering Get started with the Language service and Azure Bot Service 9 - Fundamentals of conversational language understanding Describe conversational language understanding Get started with conversational language understanding in Azure 10 - Fundamentals of Azure AI Speech Understand speech recognition and synthesis Get started with speech on Azure 11 - Fundamentals of Azure AI Document Intelligence Explore capabilities of document intelligence Get started with receipt analysis on Azure 12 - Fundamentals of Knowledge Mining with Azure Cognitive Search What is Azure Cognitive Search? Identify elements of a search solution Use a skillset to define an enrichment pipeline Understand indexes Use an indexer to build an index Persist enriched data in a knowledge store Create an index in the Azure portal Query data in an Azure Cognitive Search index 13 - Fundamentals of Generative AI What is generative AI? Large language models What is Azure OpenAI? What are copilots? Improve generative AI responses with prompt engineering 14 - Fundamentals of Azure OpenAI Service What is generative AI Describe Azure OpenAI How to use Azure OpenAI Understand OpenAI's natural language capabilities Understand OpenAI code generation capabilities Understand OpenAI's image generation capabilities Describe Azure OpenAI's access and responsible AI policies 15 - 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 Additional course details: Nexus Humans AI-900T00 - Microsoft Azure AI Fundamentals training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward. This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts. Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success. While we feel this is the best course for the AI-900T00 - Microsoft Azure AI Fundamentals course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you. Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.