Azure Training in Dobrogea

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

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

• Understand the core principles of Generative AI and its applications.
• Set up and manage an Azure OpenAI service.
• Integrate OpenAI's models into Java applications.
• Deploy AI-powered features within web applications.

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

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

• Create event-driven and serverless applications using Azure Functions.
• Administer Azure storage solutions and virtual machines.
• Deploy and scale web applications using Azure App Service and Docker containers.
• Incorporate AI, machine learning, and natural language processing capabilities using Azure AI Services.
• Utilize GitHub Copilot to support AI-driven cloud application development.

This instructor-led, live training in Dobrogea (online or onsite) is targeted at intermediate-level data engineers who aim to master the use of Azure Synapse Analytics for a broad spectrum of data processing, analytics, and visualization tasks.

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

• Comprehend the core concepts, architecture, and components of Azure Synapse Analytics.
• Create, configure, and manage scalable data warehouses using Azure Synapse.
• Master techniques for ingesting, transforming, and loading data (ETL) from diverse 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 Dobrogea (online or onsite) targets intermediate-level data engineers who want to learn how to use Azure Data Lake Storage Gen2 for effective data analytics solutions.

Upon completing this training, participants will be able to:

• Grasp 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.

This instructor-led, live training in Dobrogea (online or onsite) targets security administrators seeking to learn how to configure Azure cloud security for protecting workloads running in Azure.

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

• Configure host and network security.
• Configure Azure advanced security options.
• Use Azure to secure cloud computing workloads.
• Use endpoint protection services security against malware and viruses.
• Secure container workloads that are running in Azure.

In this instructor-led, live training in Dobrogea (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 instructor-led, live training in Dobrogea (online or onsite) is designed for developers and technical professionals at beginner, intermediate, and advanced levels who aim 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 the architecture of AI agents on Azure, create and configure a functional agent, link agents to business knowledge sources, and evaluate and prepare agents for deployment.

This training program enables participants to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will gain a thorough understanding of Azure service features and capabilities, allowing them to evaluate trade-offs and make informed decisions when designing public and hybrid cloud solutions.

Throughout the course, learners will define appropriate infrastructure and platform solutions that address functional, operational, and deployment requirements across the solution lifecycle.

This instructor-led, live training in Dobrogea (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.

This instructor-led, live training in Dobrogea (online or onsite) is aimed at security administrators who wish to secure Azure workloads.

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

• Administer host security, network security, and more.
• Set up storage and database security in Azure.
• Implement security monitoring using Azure resources.
• Prevent malicious cyber attacks on data and infrastructures.

Azure Bot Service integrates the capabilities of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly developing intelligent bots.

During this instructor-led live training, attendees will examine methods for efficiently creating intelligent bots within the Microsoft Azure ecosystem.

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

Grasping the fundamental principles behind intelligent bots.

Constructing intelligent bots using cloud-based applications.

Acquiring practical expertise in the Microsoft Bot Framework, the Bot Builder SDK, and Azure Bot Service.

Implementing established bot design patterns in real-world scenarios.

Developing and deploying their initial intelligent bot using Microsoft Azure.

Target Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals who are interested in bot development.

Course Format

The training blends lectures and discussions with exercises, placing a strong emphasis on hands-on practice.

In this instructor-led, live training in Dobrogea (onsite or remote), attendees will master the core concepts, components, and services of Microsoft Azure by creating a sample cloud application step-by-step.

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

• Grasp the fundamentals of Microsoft Azure
• Identify various Azure tools and services
• Apply Azure capabilities to construct cloud-based applications

This instructor-led, live training (online or onsite) is designed for machine learning engineers who wish to use Azure Machine Learning and Azure DevOps to facilitate MLOps practices.

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

• Build reproducible workflows and machine learning models.
• Manage the machine learning lifecycle.
• Track and report model version history, assets, and more.
• Deploy production ready machine learning models anywhere.