The cloud developer designs solutions on a public cloud platform. This platform offers the choice of the type of application to build and various integration parameters with existing solutions.
The developer collaborates with peers on a centralized development platform from which code can be executed remotely to test functionalities before production deployment. Depending on the project, the developer may design web applications or applications to be deployed on specialized systems.
The following training programs aim to:
Possible certifications upon completing your training include:
Generative artificial intelligence (AI) is becoming increasingly functional and accessible, with AI agents being a key component of this evolution. This comprehensive training helps you understand AI agents, including when to use them and how to develop them using the Azure AI Foundry Agent service and the Semantic Kernel agent framework. After completing this learning path, you will have the essential skills to develop sophisticated AI agents on Azure.
This learning path enables you to master security implementation through a pipeline using Azure DevOps. Learn to configure and secure Azure Pipelines optimally. You will also develop your essential practical skills, including configuring secure access to pipeline resources, configuring and validating advanced permissions, establishing a robust project and repository structure, strategic pipeline extension, secure configuration of pipelines using variables and parameters, as well as efficient identity management for projects, pipelines, and agents.
Master the implementation of GitHub Actions and the configuration of Azure Load Testing to automate performance testing of application deployments.
Master the acceleration of application development using GitHub Copilot and GitHub Copilot Chat in a Visual Studio Code environment.
This learning path offers a strategic guide for designing and implementing platform engineering in modern organizations. It explores fundamental principles, strategic alignment with business objectives, and practical aspects of creating scalable, secure, and sustainable platforms. By mastering this path, learners will develop the knowledge and skills necessary to optimize developer productivity, ensure operational excellence, and foster continuous innovation.
This course provides a comprehensive introduction to GitHub fundamentals, offering participants an in-depth understanding of core GitHub capabilities through practical, hands-on exercises conducted entirely within a GitHub repository environment. Participants will master essential best practices for creating, deploying, and managing secure repositories on the GitHub platform.
This is a course providing comprehensive preparation for the GH-100: GitHub Administration exam to obtain the certification.
GitHub Advanced Security (GHAS) serves as a cornerstone for strengthening the security framework of software development projects within the GitHub environment. It delivers a comprehensive suite of security tools and capabilities specifically engineered to detect and remediate security vulnerabilities across the entire development lifecycle. Through seamless integration of security protocols directly into development workflows with GHAS, development teams can produce more robust and trustworthy software solutions. This course will examine strategic approaches to leveraging GHAS for optimal security effectiveness and provide deep insights into GHAS functionality within the broader security landscape.
This is a course providing comprehensive preparation for the GH-500: GitHub Advanced Security exam to obtain the certification.
This course is designed for students who want to use GitHub to help developers and DevOps engineers quickly build and deploy applications. Additionally, students will learn which GitHub Actions features are available for their enterprise instance and how to use them.
This is a course providing comprehensive preparation for the GH-200: GitHub Actions exam to obtain the certification.
This course is designed to teach participants how to develop and manage custom canvas applications using Microsoft Power Apps. Learners will explore how to connect data sources, create custom user interfaces, and optimize apps to meet organizational needs. It also covers managing canvas apps, including publishing and maintaining them. This course is ideal for professionals looking to master Power Apps’ features for building business applications.
This learning path enables you to master the development of data-driven applications with Microsoft Azure SQL Database. You will develop complete expertise in creating and configuring an optimized Azure SQL Database, creating and deploying database projects using GitHub Actions and Azure Pipelines, and advanced automation of the publishing process.
You will also discover how to effectively leverage the Data API builder for Azure SQL Database and how to develop a high-performance Data API with Azure Web Apps and Static Web Apps. Additionally, you will acquire the strategic skills necessary to import data via external REST endpoints, export data using Azure Functions, and robustly secure an Azure SQL Database.
These essential skills will enable you to efficiently develop and manage modern applications with Azure SQL Database, ensuring optimal performance and enhanced security.
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.
Azure Database for PostgreSQL is a high-performance PaaS database service available in the Microsoft cloud. It builds on the open-source PostgreSQL relational database and integrates native high availability, automatic backup and restore, as well as advanced security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling.
In this comprehensive learning path, you will master the key features of PostgreSQL and their optimized implementation in Azure Database for PostgreSQL. You will explore the different implementation options for Azure Database for PostgreSQL and learn to configure a server tailored to your specific business needs.
This comprehensive training enables developers and IT professionals to master the creation and extension of custom copilots with Microsoft Copilot Studio. Participants will learn to design, develop, and deploy conversational AI solutions tailored to their organization’s specific needs. The course covers language model customization, external data source integration, and best practices for creating effective and relevant AI interactions.