This Microsoft certification course prepares you to design, implement, and operate Machine Learning Operations (MLOps) and Generative AI Operations (GenAIOps) solutions on Azure. You will learn to build a secure and scalable AI infrastructure, automate the lifecycle of machine learning models with Azure Machine Learning, and deploy, evaluate, monitor, and optimize generative AI applications and agents with Microsoft Foundry. This course emphasizes modern production practices: CI/CD, Infrastructure as Code (IaC), automation, and observability, leveraging tools such as GitHub Actions, Azure CLI, and Bicep.
This course provides comprehensive preparation for the AI-300 exam, leading to the Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate certification.
This nine-day certification pathway includes two parts:
This five-day course shows developers how to design, build, monitor, and troubleshoot AI solutions on Microsoft Azure. You’ll learn how to implement compute and containerization models to host applications, develop serverless APIs with Azure Functions, and integrate services using event-driven and message-oriented architectures (Azure Service Bus, Event Grid).
The course also covers Azure data services suitable for AI workloads, including designing and querying solutions with Azure Cosmos DB for NoSQL, Azure Database for PostgreSQL (pgvector), and Azure Managed Redis for caching, streaming, and vector search. By the end of the course, you’ll be able to connect services, orchestrate AI workflows, and deliver secure, scalable, and observable AI applications on Azure.
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 AI-200 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.
This exam preparation course covers the five CISA domains. You will start by becoming familiar with the practical aspects of an information systems audit. The course then shows you how to govern and manage IT before introducing you to information systems acquisition. You will gain knowledge on information systems operations and understand how to maintain business resilience, helping to solve various real-world problems. Finally, you will learn how to protect your organization and effectively control information systems with IT audit standards.
By the end of this course, you will not only have covered the essential concepts and techniques you need to know to pass the CISA certification exam, but you will also have the opportunity to apply them in the real world.
Organizations face constant threats from malicious actors seeking to exploit vulnerabilities in their networks and systems. The Certified Penetration Testing Professional (CPENT) certification demonstrates advanced expertise in ethical hacking and penetration testing.
The EC-Council’s Certified Penetration Tester (CPENT) program teaches you how to conduct penetration tests in an enterprise network environment that is being attacked, exploited, bypassed, and defended. The CPENT training will upgrade your knowledge on intrusion assessments of IoT and OT systems, developing your own exploits and tools, conducting advanced assessment tests, techniques for accessing secure networks, and customizing scripts and exploits to infiltrate the most secure segments of your network.
This course covers the methods and practices for implementing and managing enterprise-scale data analytics solutions with Microsoft Fabric. Students will learn to use dataflows, pipelines, and Fabric notebooks to develop analytical resources such as semantic models, data warehouses, and lakehouses.
This course is designed for experienced data professionals qualified in data preparation, modeling, analysis, and visualization, such as those with the Microsoft Certified: Power BI Data Analyst Associate (PL300) certification.
Learners should have prior experience using one of the following programming languages: Structured Query Language (SQL), Kusto Query Language (KQL), or Data Analysis Expressions (DAX).
This course provides comprehensive preparation for the DP-600: Implementing Analytics Solutions Using Microsoft Fabric exam, leading to the Microsoft Certified: Fabric Analytics Engineer Associate certification.
This course provides you with the knowledge and skills to design and develop AI-enabled database solutions on Microsoft SQL platforms, including SQL Server, Azure SQL, and SQL databases in Microsoft Fabric.
It is designed for professionals building modern data solutions that combine structured and semi-structured data while integrating AI capabilities into the core of secure, high-performance, and scalable enterprise applications.
The training is also relevant for application developers who rely on SQL-based data services and want to enhance their solutions with capabilities such as vector search, embeddings, and other AI-driven mechanisms to deliver smarter user experiences (semantic search, recommendations, assistants, etc.).
This is a course providing comprehensive preparation for the DP-800 exam: Developing Database Solutions Integrated with Artificial Intelligence for obtaining the Microsoft Certified: SQL AI Developer Associate certification.
Master end-to-end data engineering with Azure Databricks and Unity Catalog. This course takes you from foundational setup to production deployment, covering environment configuration and enterprise-grade governance.
You’ll learn how to build robust ingestion pipelines, implement security and governance with Unity Catalog, and deploy optimized workloads. By the end, you’ll have practical skills to implement, secure, and maintain scalable lakehouse solutions that meet demanding enterprise requirements.
This course provides comprehensive preparation for the DP-750: Implementing Data Engineering Solutions Using Azure Databricks exam, leading to the Microsoft Certified: Azure Databricks Data Engineer Associate certification.
This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for experienced data professionals skilled at data integration and orchestration.
This course provides comprehensive preparation for the DP-700: Microsoft Fabric Data Engineer exam, leading to the Microsoft Certified: Fabric Data Engineer Associate certification.
The AZ-140 certification, focused on Configuring and Operating Microsoft Azure Virtual Desktop, is a crucial course for professionals aiming to master the intricacies of managing and operating Azure Virtual Desktop solutions within the Microsoft Azure environment. This certification validates individual expertise in configuring and managing the Azure Virtual Desktop infrastructure. The course teaches Azure administrators how to plan, deliver, and manage virtual desktop experiences and remote applications for any device on Azure. Students will learn through a blend of demonstrations and hands-on lab experiences to deploy virtual desktop experiences and applications on Azure Virtual Desktop and optimize them for operation in multi-session virtual environments.
This training is a comprehensive preparation for the AZ-140: Configuring and Operating Microsoft Azure Virtual Desktop on Microsoft Azure exam to earn the Microsoft Certified: Azure Virtual Desktop Specialty certification.
In the field of artificial intelligence (AI) and cloud computing, the Microsoft AI-103 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 four-day Microsoft course provides preparation for the AI-103: Develop AI apps and agents on Azure exam to earn the Microsoft Certified: Azure AI Apps and Agents Developer 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.
The Microsoft AI-901 (Azure AI Fundamentals) certification course serves as an entry-level program designed to provide a fundamental understanding of Artificial Intelligence (AI) and its applications within the Azure ecosystem.
Our one-day certification training is aimed at individuals who want to demonstrate their knowledge of machine learning and artificial intelligence (AI) concepts and their familiarity with associated Microsoft Azure services. In this course, trainees will learn how to use Azure services to create machine learning, computer vision, natural language processing, and conversational AI solutions through practical activities. This course is intended for individuals with both technical and non-technical backgrounds.
This course provides comprehensive preparation for the AI-901: Microsoft Azure AI Fundamentals exam, leading to the Microsoft Certified: Azure AI Fundamentals certification.
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 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 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.
This course provides comprehensive preparation for the GH-600 Agentic AI Systems Development exam for the GitHub Certified: Agentic AI Developer 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.
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.
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