Eccentrix has been proud to be a Microsoft Learning Partner since 2013. We offer certified courses to enhance the skills of organizations in the digital world. Our training covers Azure, Microsoft 365, Dynamics 365, and SharePoint, with a focus on cloud security.
The courses are tailored for all levels, offering increased productivity and improved efficiency. Become Microsoft Azure certified, deepen your expertise in the Microsoft Cloud, or master Microsoft productivity applications with our experienced instructors.
Choose Eccentrix for exclusives such as 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.
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 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.
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.
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 comprehensive training enables data professionals to master lakehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and manage modern lakehouse solutions, combining the advantages of data lakes and data warehouses. The course covers setting up data pipelines, storage optimization, analytics tool integration, and best practices for ensuring data governance and quality in a Microsoft Fabric environment.
This comprehensive training enables data professionals to master data warehouse implementation with Microsoft Fabric. Participants will learn to design, deploy, and optimize modern data warehousing solutions, using Fabric’s advanced capabilities for data integration, transformation, and management. The course also covers best practices for dimensional modeling, performance optimization, and establishing efficient data pipelines in an enterprise environment.
Discover how to work smarter with Copilot in Microsoft Fabric. Learn how to integrate, transform, and store your data, and then create relevant reports and analyses faster, thanks to Copilot’s assistive capabilities in Microsoft Fabric.
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 comprehensive training enables data professionals to master Machine Learning implementation with Azure Databricks. Participants will learn to develop, deploy, and manage ML models using Databricks’ advanced features, including MLflow for experiment tracking and model management. The course also covers ML workflow optimization, training pipeline automation, and best practices for large-scale model deployment in an enterprise environment.
This course teaches developers how to use the Azure Cosmos DB for NoSQL API and Software Development Kit (SDK). Students will learn about query execution, resource configuration, SDK operations, and design strategies for modeling non-relational data and data partitioning.
Secure AI solutions in the cloud by configuring your AI workloads, applying cloud-native protections, and strengthening your security outcomes with identity controls. You’ll see how AI workloads authenticate, how to define trust boundaries, and how to mitigate risk by combining security posture and workload protection with Microsoft Defender for Cloud and Microsoft Foundry. You’ll then learn how to extend and harden these protections with Microsoft Entra, designing and enforcing identity and access controls consistent with your initial security choices.
Get started with Microsoft Sentinel security operations by configuring the Microsoft Sentinel workspace, connecting Microsoft services and Windows security events to Microsoft Sentinel, configuring Microsoft Sentinel analytics rules, and responding to threats with automated responses.
The “Secure Azure services and workloads with Microsoft Defender for Cloud regulatory compliance controls” course focuses on implementing regulatory compliance controls using Microsoft Defender for Cloud. Participants will learn to configure Microsoft Defender, mitigate risks in network security, data protection, endpoint security, and posture management. It requires familiarity with Azure IaaS/PaaS and regulatory compliance standards, providing hands-on experience with tasks such as configuring just-in-time VM access and Log Analytics workspaces. This course prepares learners to manage security in Azure environments.
Gain the skills to use Microsoft Purview to improve your data security in Microsoft 365. In this training, you learn how to create sensitive information types, create sensitivity labels, and use auto-labeling policies based on these labels. You also learn how to set up DLP (Data Loss Prevention) policies to safeguard your organization’s data.
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.
Defend Against Cyberthreats with Microsoft Defender XDR is a comprehensive security operations course that teaches you how to protect your organization against modern cyber threats. Through hands-on training, you’ll learn to implement and manage Microsoft’s extended detection and response platform, investigate security incidents, perform advanced threat hunting, and respond to sophisticated attacks across endpoints, identities, and cloud workloads. This practical course equips security professionals with the skills needed to detect, analyze, and respond to cybersecurity threats effectively using Microsoft Defender XDR’s powerful security tools and automation capabilities.
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.
Learn about Microsoft Copilot for Security, an AI-powered security analysis tool that enables analysts to process security signals and respond to threats at a machine speed, and the AI concepts upon which it’s built.
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.