Azure Training in Tashkent

This instructor-led, live training in Tashkent (online or on-site) is designed for intermediate-level Java developers, software engineers, and cloud enthusiasts who want to leverage the capabilities of Azure OpenAI to build intelligent applications.

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

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

This instructor-led, live training in Tashkent (available online or on-site) is designed for 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:

• Grasp the fundamentals of Terraform and its advantages in adopting infrastructure as code.
• Set up and configure Terraform specifically for Azure environments.
• Develop, test, and deploy Terraform configuration files for a wide range of Azure services.
• Leverage Terraform to effectively manage and scale Azure resources.
• Implement industry best practices for Terraform state management and version control.
• Integrate Terraform with Azure DevOps to enable fully automated deployments.
• Create reusable Terraform modules to ensure consistent and efficient resource provisioning.
• Utilize advanced Terraform features to handle complex infrastructure deployment scenarios.

This live, instructor-led training in Tashkent (online or onsite) is designed for intermediate to advanced-level professionals seeking to build and deploy AI-powered cloud applications using Microsoft Azure.

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

• Develop 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 using Azure AI Services.
• Leverage GitHub Copilot to assist in AI-driven cloud application development.

This instructor-led, live training in Tashkent (online or onsite) targets intermediate-level data engineers who wish to become proficient in utilizing Azure Synapse Analytics for a wide 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.
• 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 Tashkent (online or onsite) is designed for intermediate-level data engineers who want to learn how to leverage Azure Data Lake Storage Gen2 for building 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 efficiency 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 held at Tashkent (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 convert business requirements into secure, scalable, and reliable solutions. Key topics include design considerations for logging, cost analysis, authentication, authorization, governance, security, storage, high availability, and migration. This role demands decision-making across multiple domains that impact the overall architectural design.

This course equips students with the essential knowledge and skills necessary to administer and automate the management of Windows servers using PowerShell. Learners will develop the ability to identify and construct the specific commands required to execute particular tasks. Additionally, students will learn how to write scripts to handle advanced operations, such as automating routine processes and generating reports. By mastering these prerequisite skills, participants will be better prepared to work with a wide variety of Microsoft products, including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365. While the course does not concentrate on any single product, it uses Windows Server as the primary example, as it serves as the common platform for all the aforementioned technologies.

This course empowers IT professionals to effectively manage Azure subscriptions, safeguard identities, oversee infrastructure, configure virtual networks, link Azure with on-premises environments, handle network traffic, deploy storage solutions, build and scale virtual machines, establish web applications and containers, safeguard and share data, and monitor overall solution performance.

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

This instructor-led, live training in Tashkent (online or in-person) is tailored for developers and technical professionals at beginner, intermediate, and advanced levels 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: understand 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 Tashkent (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.