Azure Training in Belgrade

This instructor-led, live training in Belgrade (online or onsite) is designed for intermediate Java developers, software engineers, and cloud enthusiasts eager to leverage Azure OpenAI to build intelligent applications.

Upon completing this training, participants will be able to:

• Grasp the core principles of Generative AI and its practical applications.
• Configure and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level cloud engineers and IT professionals who wish to use Terraform to automate the deployment, management, and scaling of infrastructure on the Azure cloud platform.

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

• Understand the basics of Terraform and its benefits in infrastructure as code.
• Set up and configure Terraform for Azure.
• Develop, test, and deploy Terraform configuration files for various Azure services.
• Use Terraform for managing and scaling Azure resources.
• Implement best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps for automated deployments.
• Create reusable Terraform modules for consistent resource provisioning.
• Utilize advanced features of Terraform for complex infrastructure deployments.

This instructor-led, live training in Belgrade (available online or onsite) is designed for intermediate to advanced professionals who wish to construct and deploy AI-powered cloud applications using Microsoft Azure.

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

• Create event-driven and serverless applications using Azure Functions.
• Manage Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Integrate AI, machine learning, and natural language processing via Azure AI Services.
• Leverage GitHub Copilot to aid in AI-driven cloud application development.

This instructor-led, live training in Belgrade (online or onsite) is aimed at intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide range of data processing, analytics, and visualization.

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

• Understand the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master the 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 Belgrade (online or onsite) targets intermediate-level data engineers looking to master Azure Data Lake Storage Gen2 for building effective data analytics solutions.

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

• Comprehend the architecture and core features of Azure Data Lake Storage Gen2.
• Optimize data storage and access for improved cost-efficiency and performance.
• Integrate Azure Data Lake Storage Gen2 with other Azure services to facilitate analytics and data processing.
• Develop solutions leveraging the Azure Data Lake Storage Gen2 API.
• Troubleshoot common issues and refine storage strategies.

In this instructor-led live training in Belgrade (online or onsite), attendees 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 solutions. Key topics include design considerations for logging, cost analysis, authentication and authorization, governance, security, storage, high availability, and migration. This role involves making critical decisions across multiple areas that influence the overall design solution.

This course equips students with the essential knowledge and skills needed to utilize PowerShell for administering and automating the management of Windows servers. Learners will develop the ability to identify and construct the specific commands required to execute particular tasks. Furthermore, students will learn how to write scripts to handle advanced operations, such as automating repetitive processes and generating reports. The course provides prerequisite skills that support a wide array of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. Consistent with this objective, the course does not focus on any single product; however, Windows Server, being the common platform for all these technologies, serves as the primary example for teaching these techniques.

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

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

This instructor-led, live training in Belgrade (online or onsite) targets beginner, intermediate, and advanced-level 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, link agents to business knowledge sources, and evaluate and prepare agents for deployment.

This instructor-led, live training in Belgrade (online or onsite) is designed for DevOps engineers, developers, and project managers who intend to use Azure DevOps to build and deploy optimized enterprise applications more quickly than traditional development approaches allow.

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.