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.
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Configure secure access to your workloads using Azure virtual networking
In this learning path, you practice configuring secure access to workloads using Azure networking.
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Secure storage for Azure Files and Azure Blob Storage
In this learning path, you practice storing business data securely by using Azure Blob Storage and Azure Files. The skills validated include creating storage accounts, storage containers, and file shares. Also, configuring encryption and networking to improve the security posture.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
In this learning path, you practice implementing Azure Monitor to collect, analyze and act on monitoring telemetry from Azure environments. You learn to configure and interpret monitoring for virtual machines, networking, and web applications.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path helps you prepare for the Implement security through a pipeline assessment using Azure DevOps. Learn how to configure and secure Azure Pipelines. You’ll also get opportunities to practice hands-on skills. These skills include configuring secure access to pipeline resources, configuring, and validating permissions, configuring a project and repository structure, extending a pipeline, configuring pipelines to use variables and parameters securely, and managing identity for projects, pipelines, and agents.
The opportunity is yours to 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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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Learn how to gather information from API documentation and perform HTTP operations in an ASP.NET Core Razor Pages web app.
The opportunity is yours to 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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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
Develop the skills necessary to configure a secure deployment solution for cloud-native apps. Learn how to build, deploy, scale, and manage containerized cloud-native apps using Azure Container Apps, Azure Container Registry, and Azure Pipelines.
The opportunity is yours to 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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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
This learning path prepares you for the task of migrating SQL Server workloads to Azure SQL Database.
You’ll learn how to assess SQL Server components and compatibility for migration using the Azure SQL Migration Extension and Database Migration Assistant. This training guides you through the process of provisioning and configuring Azure SQL Database resources. You gain hands-on experience in choosing the best migration option to meet business requirements for downtime, handling migration state, and monitoring database migration.
Additionally, you’ll also learn to perform post-migration tasks like disaster recovery and monitoring for Azure SQL Database. These skills are essential for ensuring a smooth, efficient transition to Azure SQL Database, and maintaining its operation post-migration.
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Validate your technical skills and open doors to new possibilities of advancement with Microsoft Applied Skills.
To train a machine learning model with Azure Machine Learning, you need to make data available and configure the necessary compute. After training your model and tracking model metrics with MLflow, you can decide to deploy your model to an online endpoint for real-time predictions. Throughout this learning path, you explore how to set up your Azure Machine Learning workspace, after which you train and deploy a machine learning model.
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Implement a Data Analytics Solution with Azure Databricks
Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run data analytics workloads in a data lakehouse.
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Implement a Machine Learning solution with Azure Databricks
Azure Databricks is a cloud-scale platform for data analytics and machine learning. Data scientists and machine learning engineers can use Azure Databricks to implement machine learning solutions at scale.
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Develop dynamic reports with Microsoft Power BI
Transform and load data, define semantic model relationships and calculations, create interactive visuals, and distribute reports using Power BI.
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Discover how to drive enablement of Copilot for Microsoft 365 in your organization
Learn how to drive adoption of Microsoft Copilot for Microsoft 365 using the user enablement framework to create and implement a robust adoption plan.
Empower Your Career with Microsoft AI Skills! Join our hands-on courses to build the expertise today’s industries demand. Master AI applications and position yourself as a leader in the digital world.
Check it out – Microsoft Lead The Era of AI
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Create and manage canvas apps with Power Apps
Create your own data model and canvas app to support a scenario for a fictional company. You’re provided high-level specifications on the custom tables, columns and canvas app needed to complete this project.
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 and manage automated processes by using Power Automate
Get started with Power Automate by create and manage automated processes with Power Automate. Including creating triggers for cloud flows, configuring actions, implementing conditional logic for a cloud flow, testing a cloud flow, creating and configuring approvals by using Power Automate, and sharing cloud flows.
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 and manage model-driven apps with Power Apps and Dataverse
In this learning path, you practice building model-driven apps by using Microsoft Power Apps. The skills validated include creating Dataverse tables, modifying forms and views, and configuring a model-driven app. The scenario in this experience represents real-world challenges faced by individuals with business-specific expertise who build model-driven apps.
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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In this learning path, discover how Azure AI Document Intelligence solutions can enable you to capture data from typed or hand-written forms. Learn how to build a solution for your custom form types and integrate that solution into an Azure Cognitive Search pipeline. You’ll learn how to:
- Design a solution that analyzes your business forms by using Azure AI Document Intelligence.
- Create a solution that analyzes common documents by using Document Intelligence.
- Create a solution that analyses different custom form types by using Document Intelligence.
- Include an Azure AI Document Intelligence service as a custom skill in an Azure AI Search pipeline.
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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Migrate and Modernize SAP in the Microsoft Cloud
This 1-day course teaches IT professionals who have experience with SAP solutions how to use Azure resources that include setting up and configuration of SAP environments in Azure for virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Learners will also explore backup, disaster recovery, and monitoring of SAP systems in Azure. Learn through the application of concepts, scenarios, and procedures through hands-on labs using Azure Center for SAP solutions.
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Explore DevOps practices using GitHub. Your development and operations teams will experience improved collaboration, agility, continuous integration, continuous delivery, automation, and operational excellence throughout all phases of the application lifecycle.
The opportunity is yours to 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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Implementing a Data Analytics Solution with Azure Synapse Analytics
This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
