709 Microsoft courses in March delivered Live Online

Duration 2 Days 12 CPD hours This course is intended for This course is intended for Sales Representatives (SR), Sales Managers and End-users who have an interest in the Sales components of Dynamics 365. Students should have an existing working knowledge of either Microsoft Dynamics 365 or Microsoft Dynamics CRM. As a minimum, students should attend the prerequisite course Introduction to Microsoft Dynamics 365 Overview Understand the features and tools that exist in Microsoft Dynamics 365 for SR?s and Sales Managers. Be familiar with the stages of the Sales Order. Process in Microsoft Dynamics 365. Understand the fundamentals of Lead and Opportunity Management. Be able to track, manage, qualify Leads and convert to Opportunities and related customer records in Microsoft Dynamics 365. Know how to disqualify and cancel Leads, and convert Activity records to Leads and Opportunities. Understand how to collaborate on Opportunities with other SR?s and close Opportunity records as Won and Lost. Be able to track Competitors and Stakeholders. Understand how to view Resolution Activities. Add Products and Write-In Products to Opportunities. Build and maintain a repository of Products, Product Bundles and Product Families in the Product Catalog. Configure Unit Groups, Price Lists and Discount Lists. Work with Product Properties and view a Product Hierarchy. Create Quotes and add Products. Work with the Sales Order Process to convert Quotes to Orders and Invoices. Fulfill Orders and manage Invoice payments. Explore the Sales Reports and create a custom Sales Report using the Reporting Wizard in Microsoft Dynamics 365. Understand the significance of Sales Goal Management and Metrics in Microsoft Dynamics 365. Explore the Sales Charts and Dashboards and create a custom Sales Dashboard in Microsoft Dynamics 365. This course provides students with a detailed hands-on experience of the Salesfeatures and components of Microsoft Dynamics 365. Introduction Sales Order Process Scenarios An Introduction to Sales in Dynamics 365 The Dynamics 365 Platform Dynamics 365 Sales Fundamentals Security Considerations Where to get Help Further Reading and Resources Lead Management The Lead Management Process Working with Lead Records Working with the Lead Form Lead Assignment Leads and Activities Qualifying a Lead Disqualifying a Lead Opportunities Management Introduction to Opportunities The Opportunity Views The Opportunity Form Opportunity Sales Process Closing an Opportunity Resolution Activities Products Introduction to the Product Catalog Adding Products Configuring Unit Groups Price Lists and Price List Items Quotes, Orders and Invoices Introduction to Order Processing Adding Products to an Opportunity Working with Quotes Working with Orders Working with Invoices Sales Analysis Introduction to Sales Analysis in Dynamics 365 The Sales Reports The Reporting Wizard Working with Sales Charts Working with Sales Dashboards Working with Sales Goals and Metrics

Duration 0.5 Days 3 CPD hours This course is intended for This course is designed for students who have experience using the Windows 10 operating system and need to start using the Windows 11 operating system. Overview In this course, you will use the new and updated features of Windows 11. You will: Navigate the Windows environment. Use apps available in Windows 11. Manage available apps. Configure Windows 11 settings. As an experienced Windows© 10 user, when you are ready to move to Windows 11, you might like some guidance in using the new and updated features. This course will help you identify and use those features efficiently and effectively. Navigating the Windows 11 Environment Topic A: Log in to Windows 11 Topic B: Use the Start Menu Topic C: Use the Taskbar Using Apps Topic A: Use Built-In Apps Topic B: Use the Updated File Explorer Managing Apps Topic A: Use Virtual Desktops Topic B: Obtain Apps from the Microsoft Store Configuring Windows 11 Settings Topic A: Use the Configuration Apps Topic B: Configure Accessibility Features

Zeroconf and Bonjour training course description A hands on training course focusing on Microsoft and Apple implementations of Zeroconf. The course covers all three main areas: Interface configuration, name resolution and service discovery. Hands on with Apple Bonjour and Microsoft UPnP compliment all the major theory sessions. What will you learn Explain how mDNS and LLMNR work. Explain how DNS-SD and SSDP work. Recognise the role of service discovery gateways. Zeroconf and Bonjour training course details Who will benefit: Technical staff working with Zeroconf. Developers using Zeroconf. Prerequisites: TCP/IP Foundation for engineers Duration 2 day Zeroconf and Bonjour training course contents What is Zeroconf? Zeroconf, architecture, Microsoft UPnP, Apple, Bonjour, devices, components. Home networks, enterprise networks, BYOD. Plug and play without Zeroconf DHCP, DNS, A, PTR, SRV records, DDNS. Hands on DHCP configuration. Address selection IPv4 link local addresses, IPv6 link local addresses. Hands: Addresses without DHCP. Name resolution mDNS, finding names, announcing names, .local DNS namespace, LLMNR. Hands on Names without DNS. Role of multicasting Multicast addresses, multicasts and switches, multicasts and routers. Hands on Multicasts, TTL. Service discovery DNS-SD, SRV and TXT lookups, SSDP, HTTP. Hands on Browsing for services Zeroconf in a routed environment Service Discovery gateways, configuration, service filters, DNS-LLQ, NAT-PMP. Miscellaneous Security, automatic multicast addresses, wireless auto configuration.

Duration 1 Days 6 CPD hours This course is intended for This workshop is intended for Cloud Architects and IT professionals who have architectural expertise of infrastructure and solutions design in cloud technologies and want to learn more about Azure and Azure services Overview At the end of this whiteboard design session, you will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as they are transitioned and modernized. Topics covered will include how to get an inventory of a 2008 server environment, how to categorize 2008 workloads and evaluate the best option for each category, migration and upgrade tools available, TCO analysis tools, offers available from Microsoft to leverage existing licenses and innovations of recent product updates, licensing and technologies. This course will look at the process of migrating workloads to Azure. You will leave with the information needed to develop a solid migration plan to keep mission-critical apps and data protected as your customers transition and modernize their application, data, and infrastructure environment. Whiteboard Design Session - Windows Server 2008 and SQL Server 2008 end of support planning Review the customer case study Design a proof of concept solution Present the solution

Duration 2 Days 12 CPD hours This course is intended for Students should have a fundamental understanding of financial principles and business operations. An understanding of cloud computing is helpful but isn't necessary. Overview After completing this course, students will be able to: Describe the core capabilities of Dynamics 365 finance and operations apps Describe the capabilities and functionality of Dynamics 365 Finance Describe the capabilities and functionality of Dynamics 365 Supply Chain Management Describe the capabilities and functionality of Dynamics 365 Commerce Describe the capabilities and functionality of Dynamics 365 Human Resources Describe the capabilities and functionality of Dynamics 365 Project Operations (ERP) This course will provide you with a broad introduction to the finance and operations capabilities of Dynamics 365. You will become familiar with the concept of enterprise resource management (ERP), as well as each of the finance and operations apps, including Dynamics 365 Supply Chain Management, Dynamics 365 Finance, Dynamics 365 Commerce , Dynamics 365 Human Resources, and the ERP capabilities of Dynamics 365 Project Operations. This course will include lecture as well as hands-on-labs. Module 1: Explore the core capabilities of Dynamics 365 finance and operations apps Get introduced to the finance and operations apps Create reports and integrate finance and operations apps Module 2: Learn the fundamentals of Dynamics 365 Finance Explore Dynamics 365 Finance core capabilities Explore general ledger Explore accounts payable and accounts receivable Explore expense management, fixed asset management, and budgeting Module 3: Learn the fundamentals of Dynamics 365 Supply Chain Management Identify general capabilities of Dynamics 365 Supply Chain Management Explore warehouse and inventory capabilities Explore manufacturing strategies in Dynamics 365 Supply Chain Management Module 4: Learn the fundamentals of Dynamics 365 Commerce Explore Dynamics 365 Commerce capabilities Explore Microsoft Dynamics 365 B2B e-commerce, Store Commerce and Clienteling Module 5: Learn the fundamentals of Dynamics 365 Human Resources Explore Dynamics 365 Human Resources core capabilities Explore personnel management capabilities in Dynamics 365 Human Resources Module 6: Learn the fundamentals of Dynamics 365 Project Operations Identify project life cycle management capabilities in Dynamics 365 Project Operations Explore the project planning and execution capabilities of 365 Project Operations

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