This MB-910T00: Microsoft Dynamics 365 Fundamentals Customer Engagement Apps course will provide you with a broad introduction to the customer engagement capabilities of Dynamics 365. You will become familiar with the concept of customer engagement, as well as each of the customer engagement apps, including Dynamics 365 Marketing, Dynamics 365 Sales, Dynamics 365 Customer Service, Dynamics 365 Field Service, and the customer relationship management (CRM) capabilities of Dynamics 365 Project Operations. This course will include lecture as well as hands-on labs.
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This session will cover the basics of how to use the Cloud Adoption Framework—a set of documentation, implementation guidance, best practices, and tools that aid in aligning the strategy for business, people, and technology.
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The session will cover the basics of Azure Virtual Desktop and provide an implementation details of Windows 10 pool of VMs within the same.
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This session will guide you how to connect Azure Boards with one or more GitHub repositories. And By connecting Azure Boards with GitHub repositories, you enable linking between GitHub commits, pull requests, and issues to work items. You can use GitHub for software development while using Azure Boards to plan and track your work. Azure Boards provides the scalability to grow as your organization and business needs grow.
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Azure Sentinel helps to collect, detect, investigate and respond to security threats and incidents. Thus, delivering intelligent security analytics and threat intelligence across the enterprise ecosystem. Azure Sentinel natively incorporates Azure Logic Apps and Log Analytics that enhances its capabilities. It also has built-in advanced machine learning capabilities that can detect actors of threats and suspicious Behaviors that can significantly help security analysts to analyze their environment.
The core objective of the session is understanding Microsoft Sentinel association with Log Analytics. Key aspects of the session would be exploring Data Connectors and using Azure Activity
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This Session will uncover how to use Spatial Analysis technology responsibly and how our AI technology works, and the choices system owners can make that influence system performance and behavior. How to focus on the importance of thinking about the whole system including the technology, people, and environment.
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This session will explore what is the concept of Data LakeHouse – a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data. SQL Synapse now supports Data Architecture that can consist of Data Lake, Data Warehouse or a combination of both.
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This session will explore what is the concept of Report Automation where you can create Advanced Dynamic Report in few steps. Working with few useful options while cleaning & preparing data. Designing a data model with non-active relationship which help us in Realtime scenario. Will also make understand Customization in Dashboard.
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This session will explore how IoT Plug and Play enables solution builders to integrate IoT devices with their solutions without any manual configuration. And how a device uses to advertise its capabilities to an IoT Plug and Play-enabled application.
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Develop natural language processing solutions with Azure AI Services
Natural language processing (NLP) solutions use language models to interpret the semantic meaning of written or spoken language. You can use the Language Understanding service to build language models for your applications.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
Lead the era of AI with Microsoft. Power your organization’s AI transformation with Microsoft Cloud. The AI you can trust.
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Create computer vision solutions with Azure AI Vision
Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
As of 13th June, the AI-102 Develop AI Solutions in Azure course has been updated and restructured by combining together these five 1-day AI courses into a single, comprehensive learning experience:
- AI-3016: Develop generative AI apps in Azure
- AI-3026: Develop AI Agents on Azure
- AI-3002: Develop AI information extraction solutions in Azure
- AI-3003: Build a natural language processing solution with Azure AI Services
- AI-3004: Build an Azure AI Vision solution with Azure AI services
This update provides learners with a more cohesive and in-depth journey through key AI concepts and applications.
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Deploy containers by using Azure Kubernetes Service (AKS)
In this learning path, you practice deploying containers, container orchestration, and managing clusters on Azure Kubernetes Service. The skills validated include deploying, configuring, and scaling an Azure Kubernetes Service cluster. Also, deploying an Azure Container Registry instance and deploying an application into an Azure Kubernetes Service cluster.
