Azure Training in the UAE

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

Upon completing this training, participants will be equipped to:

• Grasp the core principles of Generative AI and its practical applications.
• Establish and manage an Azure OpenAI service environment.
• Seamlessly integrate OpenAI models into Java-based applications.
• Deploy AI-driven features within web applications.

This instructor-led, live training in the UAE (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 the UAE (online or onsite) targets intermediate to advanced professionals who wish 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 the UAE (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 session in the UAE (online or on-site) is designed for intermediate-level data engineers who want to learn how to utilize Azure Data Lake Storage Gen2 for effective data analytics solutions.

Upon completing this training, participants will be capable of:

• Gaining a deep understanding of the architecture and core features of Azure Data Lake Storage Gen2.
• Optimizing data storage and retrieval processes to enhance cost-efficiency and performance.
• Integrating Azure Data Lake Storage Gen2 with other Azure services for enhanced analytics and data processing capabilities.
• Building solutions leveraging the Azure Data Lake Storage Gen2 API.
• Resolving common issues and refining storage strategies.

In this instructor-led, live training in the UAE (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 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 critical decisions across multiple domains that collectively shape the overall solution architecture.

This course equips students with the essential knowledge and skills needed to utilize PowerShell for administering and automating tasks on Windows servers. Participants will develop the ability to identify and construct the precise commands required for specific operational tasks. Additionally, students will learn to write scripts that handle advanced duties, such as automating repetitive processes and generating comprehensive reports. By providing prerequisite skills that support a wide array of Microsoft products—including Windows Server, Windows Client, Microsoft Azure, and Microsoft 365—this course aims to broaden technical proficiency. Accordingly, the curriculum does not center on any single product; however, it utilizes Windows Server, the common platform for these technologies, as the primary example to illustrate the taught techniques.

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

Designed specifically for Azure Administrators, this course covers the implementation, management, and monitoring of identity, governance, storage, compute, and virtual networks within cloud environments. Azure Administrators will learn how to provision, size, monitor, and optimize resources effectively.

Skills gained

• Design a governance solution.
• Design a compute solution.
• Design an application architecture.
• Design storage, non-relational and relational.
• Design data integration solutions.
• Design authentication, authorization, and identity solutions.
• Design network solutions.
• Design backup and disaster recovery solutions.
• Design monitoring solutions.
• Design migration solutions.

This instructor-led, live training in the UAE (online or onsite) is aimed at beginner-level, intermediate-level, and advanced-level developers and technical professionals who wish to use 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 working agent, connect agents to business knowledge sources, evaluate and prepare agents for deployment.

This instructor-led, live training in the UAE (online or on-site) is tailored for DevOps engineers, developers, and project managers who intend to utilize Azure DevOps to construct and deploy optimized enterprise applications at a pace faster than traditional development approaches.

By the conclusion of this training, participants will be capable of:

• Understanding the foundational DevOps vocabulary and principles.
• Installing and configuring necessary Azure DevOps tools for software development.
• Utilizing Azure DevOps tools and services to continuously adapt to market demands.
• Developing enterprise applications and evaluating existing development processes via Azure DevOps solutions.
• Managing teams more efficiently and accelerating software deployment time.
• Adopting DevOps development practices within the organization.