Learn how to implement GitHub Actions and configure Azure Load Testing to automate testing app deployments.
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This learning path explores how the Azure AI and Azure Machine Learning Services integrations provided by the Azure AI extension for Azure Database for PostgreSQL – Flexible Server can enable you to build AI-powered apps.
Discover opportunities in Malaysia’s growing digital economy. With billions of dollars invested by global tech giants like AWS, Microsoft, Google, and Oracle, Malaysia is rapidly emerging as a hub for digital innovation. The demand for certified Data and AI professionals has never been higher, making it the perfect time to elevate your career.
Explore the top Data and AI certifications for 2025. Be the professional businesses are searching for—get Data & AI certified today!
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In this learning path, you prepare for the Applied Skill, Deploy and administer Linux virtual machines on Microsoft Azure.
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Transform your business with Microsoft AI
Artificial intelligence is changing the game for businesses across many industries. And organizations are seeking to adopt AI in order to continue to grow. Executives and business decision makers understand that optimizing and automating with AI is necessary to continue ahead. Microsoft is leading AI with learning materials designed for leaders to become confident in achieving their AI related goals with ease.
This learning path can help business decision makers to gain AI mastery and the knowledge to map out critical decisions for their business. Staying on the forefront of the evolving technology behind AI helps business warrant the unlimited potential of artificial intelligence and helps to create continuous value towards innovation. Topics include AI strategy, culture, responsible AI, ethics, organizational change management, data-driven decision-making, and AI transformation in specific industries.
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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Getting Started with Cosmos DB NoSQL Development
This course teaches developers to utilize Azure Cosmos DB for NoSQL API and SDK. Students will learn query execution, resource configuration, SDK operations, and design strategies for non-relational data modeling and data partitioning.
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This course is intended for software developers wanting to build AI infused applications that extract information in Azure, including Azure AI Content Understanding and Azure AI Document Intelligence.
You’ll learn how to:
- Create a multimodal analysis solution with Azure AI Content Understanding
- Create an Azure AI Content Understanding client application
- Use prebuilt Document intelligence models
- Extract data from forms with Azure Document intelligence
- Create a knowledge mining solution with Azure AI Search
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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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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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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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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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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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 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.
