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Microsoft Learn Blog
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Help accelerate your career with our latest Azure skill-building resources

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dathre
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Feb 05, 2025

Explore the quarterly recap of our new Microsoft Learn training offerings that focus on Azure.

To thrive in the dynamic world of the cloud, data, AI, and beyond, professionals must prioritize continuous learning and strategic skills development. To support you in these goals, Microsoft Learn offers a wide array of Azure training resources designed to help you build your technical skills, support your teams, and accelerate your professional growth. From immersive AI and cloud computing experiences to specialized learning paths, our latest batch of curated learning offerings can help you build the skills to meet today’s—and tomorrow’s—technological challenges.

In this post, we’ll cover the latest opportunities to learn about Azure on Microsoft Learn, from building AI apps and business transformation with AI-powered solutions to boosting developer efficiency and empowering your organization with unified data and analytics. We’ll also explore simplifying operations with cloud migration, modernizing SAP apps with Azure, and optimizing cloud performance. In each topic, we highlight the latest skill-building offerings in various formats, including:

  • Plans on Microsoft Learn. Guided learning with curated content, milestones, and automated reminders to help keep you motivated.
  • Microsoft Azure Virtual Training Days. Free, in-depth training sessions for building skills and expertise in Microsoft tools and services.
  • Microsoft Learn learning paths and training modules. Interactive, self-paced tutorials to help learners at any level build and practice their skills.
  • Azure Essentials Show. Short episodes that offer practical guidance, technical insights, and product demos for Azure solutions.
  • On-demand training and events. Immersive workshops, videos, conferences, and more.
  • Microsoft Credentials. Microsoft Certifications and Microsoft Applied Skills—complementary credentials that validate skills for job roles and for specific tasks and projects.

Build smarter, faster, and more efficient AI applications

Design, develop, and deploy with AI in mind, using Azure AI services, to create modern apps and improve agility, scalability, and performance. Build your Azure knowledge and skills, and discover ways to efficiently build, replatform, and improve AI apps.

Plans

Microsoft Azure Virtual Training Days

Azure Essentials Show

Transform your business with AI-powered solutions

From AI models with Azure AI Foundry to data grounding with Microsoft Fabric, find out how to work with generative AI, integrate data, and manage AI solutions to create business value and drive innovation.

Plans

Microsoft Azure Virtual Training Days

Microsoft Learn learning paths and training modules

Azure Essentials Show

Boost developer efficiency and output

Make the most of GitHub Copilot and Azure to integrate AI into workflows, accelerate coding tasks, and build scalable platforms by using DevOps practices to streamline processes and enhance system reliability.

Plans

  • Help accelerate developer productivity with AI. Learn to evaluate and adopt AI-enhanced tools that seamlessly integrate into developer workflows. Enhance developer efficiency, accelerate coding task completion, and gain practical experience with GitHub Copilot.
  • Implement platform engineering with GitHub and Azure. Discover how to build scalable and efficient platforms, and work with DevOps practices, including automation, security, and inventory management. Explore platform engineering principles to streamline processes and enhance system reliability.

Microsoft Learn learning paths and training modules

On-demand training and events

Empower your business with unified data and analytics

Learn how to unlock AI-ready insights, streamline data workflows, and implement large-scale data engineering for comprehensive data management and analysis.

Plans

  • Make your data AI ready with Microsoft Fabric. Find out how to implement large-scale data engineering, lakehouse, and warehouse solutions. Learn to ingest data, build a data lakehouse, explore data warehousing, work with Apache Spark, and effectively manage and analyze data.
  • Run data analytics solutions with Azure Databricks. Get the details on Apache Spark and powerful clusters on Azure Databricks. Learn to prepare and analyze data, implement AI solutions, and build continuous integration/continuous delivery (CI/CD) workflows for efficient data processing.

Microsoft Azure Virtual Training Days

Microsoft Learn learning paths and training modules

Microsoft Credentials

Microsoft Applied Skills: Implement a data science and machine learning solution with Microsoft Fabric

Simplify your operations and help reduce costs with cloud migration

Maximize performance, facilitate seamless transitions, and prepare your infrastructure for AI readiness, as you learn to migrate various workloads to Azure.

Plans

Microsoft Azure Virtual Training Days

Azure Essentials Show

On-demand training and events

Modernize your SAP applications on Azure

Learn to migrate, manage, and modernize your SAP apps on Azure for optimal performance and scalability, effectively transforming your business operations.

Plans

Microsoft Azure Virtual Training Days

Microsoft Learn learning paths and training modules

Optimize cloud performance, security, and reliability

Learn to analyze and optimize workloads, manage Azure and AI investments, and enhance the resiliency of critical Azure and AI projects. Plus, explore best practices and frameworks, like FinOps, Cloud Adoption, and Well-Architected.

Plans

Microsoft Azure Virtual Training Days

Microsoft Learn learning paths and training modules

There’s always more to learn with Azure

To get started on your Azure learning journey and to access additional skill-building resources, go to Microsoft Learn.

Updated Feb 03, 2025
Version 1.0
  • esjimenezp's avatar
    esjimenezp
    Brass Contributor

    Great content material, who say that there is no opportunity to learn new skill, thanks