Eccentrix is proud to be a Microsoft Learning Partner since 2013. We offer specialized courses to enhance organizations’ skills in the digital world. Our training covers Azure, Microsoft 365, Dynamics 365, and SharePoint, with a focus on cloud security.
Courses are tailored to all skill levels, providing increased productivity and improved efficiency. Deepen your expertise in the Microsoft Cloud or master Microsoft productivity applications with our experienced instructors.
Choose Eccentrix for exclusive benefits such as exam vouchers, course recordings, access to technical labs, and ongoing support. Our training is connected to Microsoft Learn for all your learning resources.
Invest in your professional growth with Eccentrix. Enhance your skills, expand your career opportunities, and stay competitive in today’s dynamic market. Browse our comprehensive catalog and start elevating your skills now.
Eccentrix offers live classes for a superior experience. Our courses are interactive and dynamic, thanks to our presentation platform and certified instructors. Join us for quality training and professional development opportunities.
Gain official recognition of your skills with our Microsoft certification training programs. These structured programs guide you step-by-step toward certification success, with Microsoft Certified instructors and practical exercises aligned with official exam objectives.
Develop specific practical skills with our Microsoft Applied Skills training. These programs focused on real-world scenarios allow you to validate your expertise on specific Microsoft technologies and solutions.
Strengthen your Microsoft knowledge without exam pressure. These training programs focus on practical adoption, workflow optimization, and developing specific skills for effective daily use.
Maximize your productivity and boost your innovation with Microsoft Copilot. This training program teaches you how to leverage Microsoft Copilot to optimize your information research, identify relevant data, and create professional-quality content.
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.
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.
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.
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 three-day AZ-120 training is designed for IT professionals experienced with SAP solutions who want to leverage Azure for SAP workloads. The course covers the planning, configuration, and optimization of SAP environments in Azure—including virtual machines, virtual networks, storage accounts, and Microsoft Entra ID. Participants will also explore backup strategies, disaster recovery, and comprehensive monitoring for SAP systems on Azure. Through hands-on labs with Azure Center for SAP solutions, you’ll master key concepts, real-world scenarios, and step-by-step procedures to ensure successful SAP deployments in the Microsoft cloud.
This comprehensive training enables system administrators to master the deployment and administration of Linux virtual machines in Azure. Participants will learn to create, configure, and manage Linux VMs, optimize performance, and implement high-availability solutions. The course also covers virtual machine security, administration task automation, and maintenance best practices in an Azure cloud environment.
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.
During this training, participants will identify and describe key data concepts such as relational data, non-relational data, Big Data, and analytics, and explore the implementation of this technology with Microsoft Azure. They will delve into the roles, tasks, and responsibilities in the data world. Participants will explore relational data offerings, provisioning, and deployment of relational databases, and querying relational data through cloud data solutions with Microsoft Azure. They will investigate non-relational data offerings, provisioning, and deployment of non-relational databases, and non-relational data stores with Microsoft Azure. Participants will explore processing options available for creating data analytics solutions in Azure, including Azure Synapse Analytics, Azure Databricks, and Azure HDInsight. They will also learn about Power BI, including its building blocks and how they interact.
This course provides comprehensive preparation for the DP-900: Microsoft Azure Data Fundamentals exam, leading to the Microsoft Certified: Azure Data Fundamentals certification.
This course enables you to master the fundamental principles of Microsoft’s dialect of the standard SQL language, which is Transact-SQL. The topics comprehensively cover advanced querying and data modification in relational databases hosted in Microsoft SQL Server database systems, including: Microsoft SQL Server, Azure SQL Database, and Azure Synapse Analytics.
You will develop complete expertise in using Transact-SQL to create sophisticated queries, optimize performance, and efficiently manage data in modern Microsoft SQL environments.
This comprehensive training enables developers and IT professionals to master cloud-native application deployment using Azure Container Apps. Participants will learn to design, deploy, and manage modern containerized applications using Azure Container Apps’ advanced features. The course covers containerization best practices, microservices orchestration, automatic scaling, and integration with native Azure services.
This learning path enables you to master the migration of SQL Server workloads to Azure SQL. You will develop complete expertise in evaluating SQL Server components and migration compatibility using the Azure SQL migration extension and Data Migration Assistant. You will also discover how to efficiently provision and configure optimized Azure SQL resources.
You will gain comprehensive practical experience to select the optimal migration strategy based on specific business requirements regarding downtime, advanced migration state management, and proactive database migration monitoring.
Additionally, you will master critical post-migration tasks, including disaster recovery and continuous monitoring. These skills are essential to ensure a smooth and efficient transition to Azure SQL and guarantee optimal performance after migration.
Master the implementation of GitHub Actions and the configuration of Azure Load Testing to automate performance testing of application deployments.
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.
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.
Agentic AI plays a crucial role in accelerating and improving the reliability of modern software development workflows when properly integrated into the SDLC. It enables the automation and orchestration of tasks (analysis, generation, modification, and validation) while producing inspectable artifacts (plans, logs, pull requests, flow results) to maintain control, traceability, and quality. By using GitHub as a reference system and control plane, your team can monitor autonomous behavior, manage permissions and execution environments, and implement guardrails and accountability mechanisms to balance velocity, security, and compliance.
This course provides comprehensive preparation for the GH-600 Agentic AI Systems Development exam for the GitHub Certified: Agentic AI Developer certification.
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