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
Duration 3 Days 18 CPD hours This course is intended for The primary audience for this course is people who are moving into a database role, or whose role has expanded to include database technologies. Developers that deliver content from SQL Server databases will also benefit from this material. Overview After completing this course, you will be able to: Describe key database concepts in the context of SQL Server Describe database languages used in SQL Server Describe data modelling techniques Describe normalization and denormalization techniques Describe relationship types and effects in database design Describe the effects of database design on performance Describe commonly used database objects This course is provided as an introductory class for anyone getting started with databases. It will be useful to programmers and other IT professionals whose job roles are expanding into database management. Students will learn fundamental database concepts through demonstrations and hands-on labs on a SQL Server instance. This material updates and replaces course Microsoft course 10985 which was previously published under the same title. Module 1: Introduction to databases Introduction to Relational Databases Other Databases and Storage Data Analysis SQL Server Database Languages Module 2: Data Modeling Data Modelling Designing a Database Relationship Modeling Module 3: Normalization Fundamentals of Normalization Normal Form Denormalization Module 4: Relationships Introduction to Relationships Planning Referential Integrity Module 5: Performance Indexing Query Performance Concurrency Module 6: Database Objects Tables Views Stored Procedures, Triggers and Functions
Description Master the use of Google G Suite to boost your productivity and enjoy the benefits of business email, video conferencing, online storage and file sharing with the intensive Google G Suite Essential Training course. Google G Suite, formerly known as Google Apps, is a collection of applications or collaborative productivity apps, especially for email that includes Google Drive, Google Docs, Slides, and Drawings, Google Sheets and Forms, Google Hangouts, Google Calendar, and Google sites. A G suit email looks like any Gmail account. The only difference is G Suit email will be like example@yourdomail.com instead of the Gmail account like example@gmail.com. Google G Suit provides business professional email, shared calendars, online document editing and storage, video meetings, and much more. Throughout the course, you will learn the essential features of Google G suits such as navigating in the G-Suite (Google Apps) environment, storing documents by using Google Drive, communicating using Google Hangouts, and collaborating by using Google Sites. Then the course shows you how to manage your schedules using Google calendar. Finally, the course teaches you how to collaborate and share files with Google Docs, Slides, and Drawings, Google Sheets and Forms. In short, the course covers all the essential features and functions of the Productivity app Google G Suite. Assessment: At the end of the course, you will be required to sit for an online MCQ test. Your test will be assessed automatically and immediately. You will instantly know whether you have been successful or not. Before sitting for your final exam you will have the opportunity to test your proficiency with a mock exam. Certification: After completing and passing the course successfully, you will be able to obtain an Accredited Certificate of Achievement. Certificates can be obtained either in hard copy at a cost of £39 or in PDF format at a cost of £24. Who is this Course for? Google G Suite Essential Training is certified by CPD Qualifications Standards and CiQ. This makes it perfect for anyone trying to learn potential professional skills. As there is no experience and qualification required for this course, it is available for all students from any academic background. Requirements Our Google G Suite Essential Training is fully compatible with any kind of device. Whether you are using Windows computer, Mac, smartphones or tablets, you will get the same experience while learning. Besides that, you will be able to access the course with any kind of internet connection from anywhere at any time without any kind of limitation. Career Path After completing this course you will be able to build up accurate knowledge and skills with proper confidence to enrich yourself and brighten up your career in the relevant job market. Lesson 1: About G Suite TOPIC A Overview 00:05:00 TOPIC B Signing In 00:15:00 Lesson 2: Google Drive TOPIC A Getting Started with Google Drive 00:15:00 TOPIC B Work with Files 00:15:00 TOPIC C Organize and Search Google Drive 00:15:00 Lesson 3: Google Docs (Part 1) TOPIC A Getting Started with Google Docs 00:15:00 TOPIC B Composing and Editing Google Docs (Part 1) 00:15:00 TOPIC C Composing and Editing Google Docs (Part 2) 00:15:00 Lesson 4: Google Docs (Part 2) TOPIC A Working with Images and Tables 00:15:00 TOPIC B Collaborate with Google Docs 00:15:00 TOPIC C Reviewing and Distributing Documents 00:15:00 Lesson 5: Google Sheets TOPIC A Getting Started with Google Sheets 00:15:00 TOPIC B Editing Spreadsheets 00:15:00 TOPIC C Working with Spreadsheet Data 00:15:00 TOPIC D Formatting and Finalizing Spreadsheets 00:15:00 Lesson 6: Google Slides TOPIC A Getting Started with Google Slides 00:15:00 TOPIC B Formatting a Presentation 00:15:00 TOPIC C Editing Google Slides 00:15:00 TOPIC D Presenting and Sharing Google Slides 00:15:00 Order Your Certificates and Transcripts Order Your Certificates and Transcripts 00:00:00
3 QLS Endorsed Diploma | QLS Hard Copy Certificate Included | Plus 10 CPD Courses | Lifetime Access
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Feedback Mastery Unleashed: 28 day online mini-programme to ignite high performance leadership for high achieving teams
Course Overview: Microsoft 365 Mastery Welcome to Microsoft 365 Mastery, a comprehensive course designed to empower individuals with the skills and knowledge needed to leverage the full potential of Microsoft 365 and its suite of applications. In this course, you will explore the diverse functionalities of Microsoft 365, covering its key components and applications through a structured series of modules. Module 1: Overview of Microsoft 365 and Its Applications Gain a comprehensive understanding of Microsoft 365, including its core components and applications. Explore how Microsoft 365 enhances productivity and collaboration in modern workplaces. Module 2: OneDrive and SharePoint Online Delve into OneDrive and SharePoint Online, powerful cloud-based storage and collaboration platforms. Learn how to efficiently manage files, collaborate on documents, and organize content using these tools. Module 3: Microsoft Teams and Outlook Discover the collaborative power of Microsoft Teams and the productivity features of Outlook. Explore how Teams facilitates seamless communication and collaboration, while Outlook helps manage emails, calendars, and tasks effectively. Module 4: Microsoft Planner and Forms Master Microsoft Planner for task management and project coordination, and learn to create surveys and quizzes using Microsoft Forms. Explore how these tools streamline workflow and gather valuable insights. Module 5: Power Automate and 365 Security Features Unlock the potential of automation with Power Automate, and explore essential security features within Microsoft 365. Learn to automate repetitive tasks and safeguard sensitive data effectively. Module 6: Admin Center and Accessibility Navigate the Microsoft 365 Admin Center and understand its role in managing user accounts, licenses, and security settings. Learn about accessibility features to ensure inclusivity and compliance within your organization. Module 7: Collaborative Editing and Integration with Other Tools Explore collaborative editing features across Microsoft 365 applications and discover how they enhance teamwork and productivity. Learn about integration possibilities with third-party tools to extend the capabilities of Microsoft 365. Module 8: Best Practices and Migration Strategies Acquire best practices for deploying and managing Microsoft 365 within your organization. Understand migration strategies to seamlessly transition from legacy systems to Microsoft 365 while minimizing disruptions. Throughout the course, you will engage in hands-on exercises, case studies, and practical demonstrations to reinforce your learning and develop valuable skills applicable to real-world scenarios. By the end of this course, you will emerge as a proficient Microsoft 365 user equipped to drive productivity, collaboration, and innovation within your organization. Join us on this journey to Microsoft 365 mastery! Course Curriculum Module 1_ Overview of Microsoft 365 and Its Applications Overview of Microsoft 365 and Its Applications 00:00 Module 2_ OneDrive and SharePoint Online OneDrive and SharePoint Online 00:00 Module 3_ Microsoft Teams and Outlook Microsoft Teams and Outlook 00:00 Module 4_ Microsoft Planner and Forms Microsoft Planner and Forms 00:00 Module 5_ Power Automate and 365 Security Features Power Automate and 365 Security Features 00:00 Module 6_ Admin Center and Accessibility Admin Center and Accessibility 00:00 Module 7_ Collaborative Editing and Integration with Other Tools Collaborative Editing and Integration with Other Tools 00:00 Module 8_ Best Practices and Migration Strategies Best Practices and Migration Strategies 00:00
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A comprehensive and detailed course containing premium beginner, intermediate, and advanced level content. Start with the fundamentals and build a strong foundation before gradually studying Excel 2021's advanced features, formulae, and functions that will help you become a master.
Learn touch typing efficiently and accurately with our comprehensive Touch Typing Course. Suitable for beginners and those looking to refine their skills, this course covers everything from basic setup to mastering the entire keyboard.