Azure Training in Bratislava

This live, instructor-led training in Bratislava (online or onsite) targets intermediate Java developers, software engineers, and cloud enthusiasts seeking to utilize Azure OpenAI for building intelligent applications.

Upon completion, participants will be able to:

• Grasp the core concepts of Generative AI and its practical applications.
• Provision and manage Azure OpenAI services.
• Embed OpenAI models within Java applications.
• Deploy AI-driven features in web applications.

This instructor-led, live training in Bratislava (online or onsite) is designed for intermediate-level cloud engineers and IT professionals who want to leverage Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

Upon completion of this training, participants will be able to:

• Grasp the fundamentals of Terraform and its advantages in infrastructure as code.
• Set up and configure Terraform for use with Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Employ Terraform to manage and scale Azure resources.
• Apply best practices for managing Terraform state and version control.
• Integrate Terraform with Azure DevOps to facilitate automated deployments.
• Create reusable Terraform modules to ensure consistent resource provisioning.
• Leverage advanced Terraform features for complex infrastructure deployments.

This instructor-led, live training in Bratislava (online or onsite) is tailored for intermediate to advanced professionals seeking to build and deploy AI-enhanced cloud applications on Microsoft Azure.

Upon completion of this training, participants will be capable of:

• Developing event-driven and serverless applications using Azure Functions.
• Managing Azure storage resources and virtual machines.
• Deploying and scaling web applications via Azure App Service and Docker containers.
• Integrating artificial intelligence, machine learning, and natural language processing capabilities through Azure AI Services.
• Utilizing GitHub Copilot to support AI-driven cloud application development.

This instructor-led, live training in Bratislava (online or onsite) targets intermediate-level data engineers aiming to become proficient in leveraging Azure Synapse Analytics for a broad range of data processing, analytics, and visualization tasks.

By the end of this training, participants will be able to:

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Provision, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from various sources into Azure Synapse.
• Optimize query performance, secure data, and integrate Azure Synapse with Power BI and other tools to visualize data and share insights.

This instructor-led live training in Bratislava (online or onsite) is designed for intermediate-level data engineers who want to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

By the end of this training, participants will be able to:

• Understand the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for cost and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services for analytics and data processing.
• Develop solutions using the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and optimize storage strategies.

In this instructor-led live training in Bratislava (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.

By the end of this training, participants will be able to:

• Configure and manage Kubernetes on AKS.
• Deploy, manage and scale a Kubernetes cluster.
• Deploy containerized (Docker) applications on Azure.
• Migrate an existing Kubernetes environment from on-premise to AKS cloud.
• Integrate Kubernetes with third-party continuous integration (CI) software.
• Ensure high availability and disaster recovery in Kubernetes.

This course equips Solutions Architects with the skills to translate business requirements into secure, scalable, and reliable Azure solutions. Key lessons cover design considerations for logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. Professionals in this role must make strategic decisions across multiple domains to shape the overall solution architecture.

This course equips students with the essential knowledge and skills required to utilize PowerShell for the administration and automation of Windows server environments. Participants will develop the ability to identify and construct the specific commands needed to execute designated tasks. Furthermore, students will learn how to create scripts to handle advanced responsibilities, such as automating repetitive processes and generating detailed reports. This course delivers prerequisite competencies that support a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Aligned with this objective, the course does not concentrate exclusively on any single product; however, Windows Server serves as the primary example platform for demonstrating the techniques taught, as it underpins all of these Microsoft solutions.

This course equips IT Professionals with the skills to manage Azure subscriptions, secure identities, administer infrastructure, configure virtual networking, connect Azure with on-premises environments, manage network traffic, implement storage solutions, create and scale virtual machines, deploy web apps and containers, back up and share data, and monitor overall solutions.

Designed for Azure Administrators, this training covers the implementation, management, and monitoring of identity, governance, storage, compute, and virtual networks within cloud environments. Azure Administrators will learn to provision, size, monitor, and adjust resources as needed.

This instructor-led, live training in Bratislava (online or onsite) targets beginner, intermediate, and advanced developers and technical professionals who wish to utilize Microsoft Azure to build, test, and deploy AI agents for business applications.

By the end of this training, participants will be able to: comprehend AI agent architecture on Azure, create and configure a functional agent, connect agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training in Bratislava (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to utilize Azure DevOps to build and deploy optimized enterprise applications faster than traditional development approaches.

By the end of this training, participants will be able to:

• Understand the fundamental DevOps vocabulary and principles.
• Install and configure the necessary Azure DevOps tools for software development.
• Utilize Azure DevOps tools and services to continuously adapt to the market.
• Build enterprise applications and evaluate current development processes upon Azure DevOps solutions.
• Manage teams more efficiently and accelerate software deployment time.
• Adopt DevOps development practices within the organization.