Microsoft LevelUp - Modernize Apps and Databases

Modernize Apps and Databases

Duration - 16 Hours

Level - Intermediate

No. of learners - 0

Enrollment Closed

Last Updated Jul 2025

Style

Self paced

Target Audience

Project Ready with Labs

Certification

Hands on Labs

Yes

Solution Areas

Azure - Data and AI, Build and modernize AI Apps

Module Overview

Overview

Learn to leverage the power of Microsoft Azure’s Apps, Data and AI solutions to modernize and build intelligent apps and agents focusing on internal business critical applications and external customer facing apps. In this workshop you will learn more about the impactful application of generative AI, which harnesses massive data that will be huge for businesses. You will also learn to make use of Azure Data services and cloud-native app building features provided by Azure Kubernetes Services, Cosmos DB and GitHub.

Course Modules

Modules

Introduction to AI Apps and agents

In this module you will learn about Azure AI Services and principles of Responsible AI to support ethical, impactful AI development. You’ll learn to apply the Well-Architected Framework for building secure, scalable, and reliable solutions, and explore best practices in DevOps and Security to streamline operations and enhance protection across the development lifecycle.

Build and deploy AI apps on Azure

This course guides you through the modern development lifecycle, from planning and development to testing, delivery, and security. You’ll explore tools like GitHub Copilot and GitHub Codespaces to boost coding efficiency, along with Microsoft Dev Box and Azure Dev CLI for streamlined development environments. The course also covers using Visual Studio and Visual Studio Code effectively, providing a complete toolkit for building, testing, operating, and securing applications.

AI Development and Agentic DevOps with GitHub

In this module you will learn about deploying and managing applications on Azure App Service and Azure Kubernetes Service (AKS). You’ll learn how to build, deploy, and scale web applications and containerized workloads, leveraging the flexibility and scalability of these Azure services to optimize performance and manage resources efficiently in the cloud.

Agentic AI with Azure AI Foundry

In this module you will learn about Azure Database for PostgreSQL, focusing on its architecture, high availability, and essential features like geo-replication, scaling, security, and migration. You'll also explore how to leverage Generative AI with Azure Database for PostgreSQL - Flexible Server to build intelligent applications, ensuring robust performance and scalability for modern data solutions.

Build AI apps with Azure Database for PostgreSQL

In this module you will learn about a comprehensive introduction to Azure SQL Database, covering key aspects of deployment and compute models to suit various application needs. You'll learn about the Hyperscale service tier for scaling large databases and best practices to secure your data on Azure SQL Database, ensuring performance, flexibility, and security for your cloud-based applications.

Build scalable and secure apps with Azure SQL Database

In this module you will learn about Azure Cosmos DB, a globally distributed, multi-model database service. You’ll learn the fundamentals of data modeling for efficient and scalable applications, along with best practices for partitioning to optimize performance and manage large datasets effectively. This foundation will help you leverage Cosmos DB for high availability and low-latency applications.

Develop AI-powered apps at any scale with Azure Cosmos DB

In this module you will learn about the using Azure Cosmos DB for MongoDB, covering how to structure models and partitions for optimal performance. You'll also learn strategies for migrating existing MongoDB applications to Azure Cosmos DB and best practices for monitoring and managing your database to ensure reliability and efficiency.

Fabric databases

This course offers an introduction to Azure AI services and large language models (LLMs), showcasing how to harness the power of AI within your applications. You’ll explore Azure AI Studio and its tools, including Translator, Speech, and Vision services for diverse language and visual needs, as well as Azure AI Language and Document Intelligence for advanced text analysis and document processing. This foundation equips you to build intelligent, adaptable solutions on the Azure platform.

Secure and govern your AI Apps and agents

This course provides a deep dive into Azure OpenAI Service and Azure AI capabilities, covering model types, Provisioned Throughput Units (PTU) for scalability, and prompt engineering techniques. You'll gain an understanding of embeddings and Azure AI Search to enhance AI-driven search on your data. The course also emphasizes Content Safety and Responsible AI practices, ensuring secure and ethical AI deployment across applications.

Post-training Skills Assessment

Take this assessment to validate your skills gathered from the self-paced online learning completed in this course to mark your completion.

Evaluación de habilidades posteriores a la capacitación - ES

Realice esta evaluación para validar las habilidades adquiridas mediante el aprendizaje en línea a su propio ritmo, como parte del curso, y así marcar su finalización.

培训后技能评估 - ZHCN

参加此评估以验证您从本课程的自定进度在线学习中收集的技能，以标记您的完成情况。

培訓後技能評估 - ZHTW

參加此評估以驗證您從本課程的自定進度線上學習中收集的技能，以標記您的完成情況。

Avaliação de Competências Pós-Formação - PT

Faça esta avaliação para validar suas habilidades adquiridas com o aprendizado online individualizado realizado neste curso para marcar sua conclusão.