Azure Training in Plovdiv

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

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

• Understand the 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 session Plovdiv (online or onsite) 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:

• 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 Plovdiv (online or onsite) is designed for intermediate to advanced professionals who want 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 Plovdiv (online or on-site) is designed for 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 Plovdiv (online or onsite) is aimed at intermediate-level data engineers who wish 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.

This instructor-led live training Plovdiv (online or on-site) targets security administrators who wish to learn how to configure Azure cloud security to secure 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 at Plovdiv (online or onsite), participants will learn how to set up and manage a production-scale container environment using Kubernetes on AKS.Â

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 Plovdiv (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 course empowers participants to enhance their skills in designing Microsoft Azure solutions.

Upon completion, delegates will possess a comprehensive understanding of Azure service features and capabilities, enabling them to evaluate trade-offs and make informed decisions when architecting public and hybrid cloud environments.

Throughout the training, participants will define the appropriate infrastructure and platform solutions necessary to satisfy functional, operational, and deployment requirements across the entire solution lifecycle.

This instructor-led, live training in Plovdiv (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 Plovdiv (online or onsite) is designed for security administrators seeking to secure Azure workloads.

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

• Manage host and network security, among other areas.
• Configure storage and database security within Azure.
• Deploy security monitoring solutions using Azure resources.
• Mitigate malicious cyber attacks targeting data and infrastructure.

Azure Bot Service unites the strengths of the Microsoft Bot Framework and Azure Functions, offering a robust platform for rapidly constructing intelligent chatbots.

During this instructor-led live training, attendees will learn how to effectively create smart bots using Microsoft Azure.

Upon completing the training, participants will be capable of:

Grasping the fundamental concepts behind intelligent bots.

Developing intelligent bots through 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.

Creating and deploying their first intelligent bot using Microsoft Azure.

Target Audience

This course is tailored for developers, hobbyists, engineers, and IT professionals with an interest 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 conducted Plovdiv (onsite or remotely), participants will delve into the core concepts, components, and services of Microsoft Azure as they create a sample cloud application.< / p>

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

• Comprehend the basics of Microsoft Azure
• Recognize the different Azure tools and services
• Learn how to leverage Azure for building cloud applications

This instructor-led, live training (online or onsite) targets machine learning engineers who aim to use Azure Machine Learning and Azure DevOps to support MLOps practices.

By the conclusion 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.