Terraform on Microsoft Azure Training Course

This live, instructor-led session in Latvia (online or onsite) is designed for DevOps engineers, system administrators, and system architects at various skill levels who aim to deepen their Terraform capabilities and excel in managing intricate infrastructure deployments.

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

• Develop and maintain large-scale Terraform projects.
• Showcase expertise in HCL, particularly advanced expression language features and practices.
• Employ various automation tools and processes to oversee Terraform operations in CI/CD pipelines, including testing and QA mechanisms.
• Take on an expert role in any new or existing Terraform project or module.

This instructor-led, live training in Latvia (online or onsite) targets intermediate to advanced DevOps engineers, cloud architects, and infrastructure specialists looking to enhance their ability to manage and orchestrate distributed infrastructure using Terraform's advanced features.

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

• Use Terraform's advanced features to build dynamic, scalable infrastructure.
• Organize and manage Terraform modules for optimal reusability and efficiency.
• Integrate Terraform with CI/CD pipelines for seamless automation.
• Effectively debug and troubleshoot complex Terraform configurations.
• Apply best practices for maintaining and scaling cloud infrastructure with Terraform.

This instructor-led, live training in Latvia (available online or onsite) is tailored for intermediate to advanced professionals seeking to build and deploy AI-powered cloud applications on Microsoft Azure.

By the conclusion of this training, participants will be equipped 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.

Offered as live, instructor-led training in Latvia (online or onsite), this course targets developers and technical professionals of all levels (beginner to advanced) who intend to leverage Microsoft Azure for building, testing, and deploying AI agents in business settings.

By the end of the program, participants will be able to: comprehend AI agent architecture on Azure, build and configure functional agents, integrate agents with business knowledge sources, and evaluate agents for deployment readiness.

This instructor-led live training, conducted Latvia (online or on-site), is designed for DevOps engineers, developers, and project managers aiming to use Azure DevOps to accelerate the build and deployment of optimized enterprise applications compared to conventional approaches.

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

• Comprehend the fundamental vocabulary and principles of DevOps.
• Install and configure the required Azure DevOps tools for software development.
• Apply Azure DevOps tools and services to ensure continuous market adaptation.
• Construct enterprise applications and evaluate current development processes using Azure DevOps solutions.
• Enhance team management efficiency and shorten software deployment cycles.
• Implement DevOps development practices throughout the organization.

This live, instructor-led training, delivered in Latvia (either online or on-site), is designed for intermediate-level data engineers who aim to learn how to leverage Azure Data Lake Storage Gen2 for robust data analytics solutions.

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

• Gain a clear understanding of the architecture and key features of Azure Data Lake Storage Gen2.
• Optimize data storage and retrieval for improved cost efficiency and performance.
• Integrate Azure Data Lake Storage Gen2 with various Azure services to enhance analytics and data processing capabilities.
• Develop applications and solutions using the Azure Data Lake Storage Gen2 API.
• Resolve frequent issues and implement optimized storage strategies.

This instructor-led live training, conducted in Latvia (online or on-site), is tailored for intermediate Java developers, software engineers, and cloud professionals looking to utilize Azure OpenAI for creating intelligent applications.

By the end of the session, learners will be capable of:

• Understanding the fundamental concepts of Generative AI and their applications.
• Setting up and managing Azure OpenAI services.
• Incorporating OpenAI models into Java applications.
• Integrating AI capabilities into web applications.

In this instructor-led live training, conducted at Latvia (either online or onsite), participants will learn 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 live, instructor-led training in Latvia (online or onsite) is tailored for engineers looking to utilize Terraform for planning and building cloud infrastructure.

Upon completion, participants will gain the ability to:

• Install and configure Terraform.
• Apply an "infrastructure as code" strategy for managing private and public cloud environments.
• Write declarative configuration files to streamline change management and collaboration.
• Increase transparency in the infrastructure procurement process.
• Manage the creation, launch, and removal of resources across diverse infrastructure providers such as AWS, GCP, Azure, OpenStack, and VMware, using a single tool.

This instructor-led, live training conducted in Latvia (either online or on-site) is designed for DevOps engineers with minimal or no prior experience in infrastructure management. The course utilizes Terraform to automate the configuration and deployment of infrastructure, both within the cloud and on-premises.

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

• Install and configure Terraform.
• Apply an Infrastructure as Code approach to the management of IT environments.
• Build, deploy, and tear down infrastructure through a single platform.
• Create declarative configuration files that are manageable in a version control system like other source code.
• Efficiently modify configuration files to meet evolving compute resource requirements.
• Work together with other infrastructure engineers by sharing configuration files in a common repository.
• Increase transparency in the infrastructure sourcing process.

This instructor-led, live session in Latvia (available online or on-site) is tailored for engineers with foundational infrastructure management experience who intend to employ Terraform to design, build, and automate complex DevOps processes and multi-environment configurations.

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

• Establish workspaces for multiple environments using Terraform.
• Understand best practices for managing infrastructure at scale.
• Leverage advanced Terraform tools and CLI configurations.
• Design and develop complex Terraform modules.
• Acquire proficiency in advanced HCL operators and coding techniques.
• Implement security hardening and conduct code analysis.
• Automate testing workflows and CI/CD pipelines.

This instructor-led live training, delivered in Latvia (online or onsite), is tailored for engineers seeking to utilize Terraform on GCP for planning and building cloud infrastructure.

By the end of the session, participants will have the capability to:

• Install and configure Terraform on GCP.
• Implement an "infrastructure as code" approach for managing private and public cloud environments.
• Create, launch, and dismantle infrastructure from a single tool.
• Write declarative configuration files that can be managed like any other source code in a version control system.
• Quickly update configuration files to respond effectively to changing compute resource requirements.
• Collaborate with other infrastructure engineers by sharing configuration files in a common code repository.
• Improve transparency in the infrastructure procurement process.

This live, instructor-led session in Latvia (online or onsite) is designed for intermediate DevOps engineers looking to utilize Terraform for constructing and overseeing real-world infrastructure projects in cloud environments.

By the conclusion of the course, learners will be able to:

• Understand the fundamentals of Terraform and IaC.
• Write and manage Terraform configurations effectively.
• Master infrastructure automation techniques across AWS, Azure, and GCP using Terraform.
• Apply advanced features like workspaces and modules in Terraform.
• Integrate Terraform into CI/CD workflows and use Terraform Cloud for collaborative team management.

This instructor-led course in Latvia is crafted for beginner-level infrastructure and DevOps professionals. It explores Terraform basics, HCL syntax, and Azure integration. Learners will manage on-prem resources and virtual devices utilizing modules and CI/CD pipelines.