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:
The PL-400 course, also known as the Power Platform Developer course by Microsoft, is designed for professionals seeking to master the development aspects of Microsoft’s Power Platform. This certification focuses on empowering individuals with the skills and knowledge needed to create effective solutions using Power Apps, Power Automate, Power Virtual Agents, and Power BI.
This course takes you on a transformative journey into the realm of Power Platform development by Microsoft. Designed for aspiring Power Platform developers, this comprehensive course equips you with the skills and knowledge necessary to fully leverage the potential of Power Platform tools, enabling you to create customized solutions that drive business innovation.
This course provides comprehensive preparation for the PL-400: Microsoft Power Platform Developer exam to obtain the Microsoft Certified: Power Platform Developer Associate certification.
The AZ-204, titled “Developing Solutions for Microsoft Azure,” represents a crucial certification for professionals seeking to master development on Azure. Designed for Azure developers, this course focuses on creating, implementing, testing, and maintaining cloud solutions using a range of Microsoft Azure services and tools. The course teaches developers how to build comprehensive solutions in Microsoft Azure. Students will learn to implement Azure compute solutions, create Azure Functions, implement and manage web applications, develop solutions that use Azure storage, implement authentication and authorization, and secure solutions using Key Vault and managed identities. Students will also learn to connect to and consume Azure and third-party services, and incorporate event-based and message-based models into their solutions. This training also covers monitoring, troubleshooting, and optimizing Azure solutions.
This training is a comprehensive preparation for the AZ-204 exam to earn the Microsoft Certified: Azure Developer Associate certification.
This eight-day certification program consists of two parts:
During this five-day Microsoft-certified training, students will learn to create Power Apps, automate flows, and extend the platform to meet business requirements and solve complex business problems.
This three-day Microsoft-certified training introduces students to the decisions made by a solution architect during an implementation, covering security, integrations, Power Apps architecture, Power Automate architecture, and more.
These two courses provide comprehensive preparation for the PL-400 and PL-600 exams to obtain the Microsoft Certified: Power Platform Solution Architect Expert certification.
You can purchase an individual part of this certification track – contact us for the details.
This nine-day certification pathway includes two parts:
This five-day Microsoft certification training teaches developers how to create end-to-end solutions in Microsoft Azure. Students will learn to implement Azure compute solutions, create Azure Functions, implement and manage web applications, develop solutions that use Azure storage, implement authentication and authorization, and secure solutions using Key Vault and managed identities. Students will also learn to connect to and consume Azure and third-party services, and incorporate event-based and message-based models into their solutions. This training also covers monitoring, troubleshooting, and optimizing Azure solutions.
This four-day Microsoft certification training provides the knowledge and skills necessary to design and implement DevOps processes and practices. Students will learn to plan DevOps, use source control, scale Git for an enterprise, consolidate artifacts, design a dependency management strategy, manage secrets, implement continuous integration, implement a container build strategy, design a release strategy, design a release management workflow, implement a deployment pattern, and optimize feedback mechanisms.
This training is a comprehensive preparation to the exams AZ-204 and AZ-400 to earn the Microsoft Certified: DevOps Engineer Expert certification.
You can purchase an individual part of this certification track – contact us for the details.
Build intelligent agents that enhance Microsoft 365 Copilot capabilities with expanded knowledge bases and advanced functionality. Master Copilot Studio to develop declarative agents, integrate custom knowledge sources, implement powerful actions, and seamlessly deploy agents within the Microsoft 365 Copilot ecosystem.
This comprehensive training provides complete expertise and hands-on experience in developing advanced declarative agents using Visual Studio Code and Teams Toolkit. Participants begin with a detailed exploration of fundamental declarative agent concepts, then progress through interactive laboratories that guide them in building their first custom agent, mastering API plugins, and implementing robust programming interfaces. Advanced modules cover designing sophisticated adaptive cards, configuring secure authentication for API plugins, and strategic integration of Microsoft Graph connectors. Upon completion of this training, participants possess an in-depth understanding of methods to leverage declarative agents to enrich and extend Microsoft 365 Copilot capabilities.
Master the fundamentals of AI agent development and Microsoft 365 Copilot extension using cutting-edge tools including Copilot Studio, Azure AI Foundry, and the Microsoft 365 Agents Toolkit. This comprehensive course explores diverse agent implementation scenarios, development pathways, essential toolsets, and critical architectural considerations for building intelligent business solutions.
Develop intelligent Microsoft Teams applications by leveraging large language models (LLM) and artificial intelligence components of your choice through the Teams AI library. These advanced custom agents can also serve to enrich and extend Microsoft 365 Copilot functionality.
In the field of artificial intelligence (AI) and cloud computing, the Microsoft AI-102 certification holds significant importance for professionals aspiring to validate their expertise in designing and implementing AI solutions using Microsoft Azure. This Microsoft certification training is designed to teach software developers how to create AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework to develop solutions for computer vision, language analysis, knowledge mining, intelligent search, and conversational AI on Azure.
This five-day Microsoft course provides preparation for the AI-102: Designing and Implementing a Microsoft Azure AI Solution exam to earn the Microsoft Certified: Azure AI Engineer Associate certification.
The Microsoft DP-420 course stands out as a crucial resource offering individuals the opportunity to explore the intricacies of designing and implementing data solutions on Azure. This comprehensive course is designed to equip participants with the skills needed to design robust and scalable data solutions, leveraging the power of Microsoft Azure services.
This four-day Microsoft certification training teaches developers how to create an application using the SQL API and the SDK for Azure Cosmos DB. Students will learn to write efficient queries, create indexing policies, manage and provision resources, and perform common operations using the SDK.
This training is a comprehensive preparation for the DP-420: Designing and Implementing Cloud-Native Applications Using Microsoft Azure Cosmos DB exam to earn the Microsoft Certified: Azure Cosmos DB Developer Specialty.
This comprehensive training enables developers and IT professionals to master the creation of intelligent document processing solutions with Azure AI Document Intelligence. Participants will learn to design, develop, and deploy automation solutions for document extraction, analysis, and processing, using Azure’s advanced AI capabilities. The course also covers best practices for custom model integration, performance optimization, and implementation of intelligent document workflows.
Generative artificial intelligence is revolutionizing application development through integrated platforms like Azure AI Foundry. Learn to design sophisticated generative AI applications that leverage advanced language models to create natural conversational interactions with your users.
Natural language processing solutions leverage advanced linguistic models to analyze and interpret the semantic meaning of written and spoken language, enabling the generation of contextually appropriate responses. Through the Azure AI Language service, you can develop custom models for your applications, while Azure AI Foundry provides access to powerful generative models for speech recognition and intelligent language processing.
Computer vision represents a fundamental domain of artificial intelligence focused on the interpretation and analysis of visual data. Azure AI offers a comprehensive range of specialized services to address the most common computer vision challenges, enabling developers to create intelligent image analysis and visual recognition solutions.
This essential training enables IT professionals to understand and implement the fundamental principles of DevOps. Participants will discover key practices, agile methodologies, and the necessary tools to create an effective DevOps culture. The course covers process automation, continuous integration, continuous deployment (CI/CD), and best practices for improving collaboration between development and operations teams.
GitHub Foundations introduces you to the fundamental concepts, features, and products of GitHub. You’ll discover the benefits of using GitHub as a collaborative platform and explore its core features, such as repository management, commits, branches, and merging. Through curated modules and hands-on exercises, you’ll gain a solid understanding of GitHub’s essential tools and be well-equipped to start contributing to projects and collaborating effectively within GitHub.
This is a course providing comprehensive preparation for the GH-900: GitHub Foundations exam to obtain the certification.
This course explores the use of artificial intelligence in the context of GitHub Copilot, a generative AI tool designed for developers. It provides users with essential knowledge and skills to use Copilot effectively while mitigating potential ethical and operational risks associated with AI usage.
This is a course providing comprehensive preparation for the GH-300: GitHub Copilot exam to obtain the certification.
This learning path explores how Azure AI and Azure Machine Learning Services integrations, available through the Azure AI extension for Azure Database for PostgreSQL – Flexible Server, enable you to develop intelligent applications powered by artificial intelligence.
Do you have valuable information scattered across structured and unstructured data sources? With Azure AI Search, you can extract strategic insights from this data and enable applications to perform intelligent searches and in-depth analysis.
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.
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