Architecting Microsoft Azure Solutions Training Course

This instructor-led, live training in Romania (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 Romania (online or onsite) targets engineers who wish to use Azure ML's drag-and-drop platform to deploy Machine Learning workloads without the need to purchase software and hardware and without worrying about maintenance and deployment.

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

• Write highly-accurate machine learning models using Python, R, or zero-code tools.
• Leverage Azure's available data sets and algorithms to train and track machine learning and deep-learning models.
• Use Azures interactive workspace to collaboratively develop ML models.
• Choose from different Azure-supported ML frameworks such as PyTorch, TensorFlow, and scikit-learn.

Microsoft Azure Infrastructure and Deployment

This instructor-led, live training in Romania (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 instructor-led, live training in Romania (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 Romania (online or onsite) is designed for data scientists who want to leverage Azure Machine Learning to develop end-to-end machine learning models for predictive analysis.

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

• Build machine learning models without prior programming experience.
• Develop predictive algorithms using Azure Machine Learning.
• Deploy machine learning algorithms that are ready for production use.

This instructor-led, live training in Romania (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.

This instructor-led, live training in Romania (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.

This instructor-led live training in Romania (online or onsite) targets developers who aim to learn how to develop microservices on Microsoft Azure Service Fabric (ASF).

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

• Utilize ASF as a platform for building and managing microservices.
• Comprehend key microservices programming concepts and models.
• Create a cluster in Azure.
• Deploy microservices on premises or in the cloud.
• Debug and troubleshoot a live microservice application.

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.

This instructor-led, live training in Romania (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 live, instructor-led training in Romania (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.

In this instructor-led, live training in Romania (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

The Internet of Things (IoT) represents a network infrastructure that wirelessly links physical devices and software applications, enabling them to communicate and exchange data through network communications, cloud computing, and data capture. Azure provides a comprehensive suite of cloud services, including an IoT Suite with preconfigured solutions designed to help developers accelerate the creation of IoT projects.

In this instructor-led live training, participants will learn how to develop IoT applications using Azure.

Upon completing this training, participants will be able to:

• Grasp the fundamentals of IoT architecture
• Install and configure the Azure IoT Suite
• Understand the advantages of leveraging Azure for IoT system programming
• Implement various Azure IoT services (IoT Hub, Functions, Stream Analytics, Power BI, Cosmos DB, DocumentDB, IoT Device Management)
• Build, test, deploy, and troubleshoot an IoT system using Azure

Audience

• Developers
• Engineers

Format of the course

• A blend of lectures, discussions, exercises, and extensive hands-on practice

Note

• To request customized training for this course, please contact us to arrange.

This instructor-led, live training in Romania (online or onsite) is aimed at engineers who wish to deploy Machine Learning workloads to the Azure cloud.

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

• Install and configure Kubernetes, Kubeflow and other needed software on Azure.
• Use Azure Kubernetes Service (AKS) to simplify the work of initializing a Kubernetes cluster on Azure.
• Create and deploy a Kubernetes pipeline for automating and managing ML models in production.
• Train and deploy TensorFlow ML models across multiple GPUs and machines running in parallel.
• Leverage other AWS managed services to extend an ML application.