DevOps Training in Tashkent

This instructor-led, live training in Tashkent (online or onsite) is designed for advanced-level AI/ML engineers, data scientists, and tech innovators who want to integrate AI capabilities into Make workflows to optimize and automate processes.

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

• Understand AI and machine learning capabilities in automation.
• Integrate AI/ML models into Make workflows using APIs.
• Implement sentiment analysis, predictive modeling, and data-driven decision-making.
• Optimize and scale AI-driven automation workflows.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level developers, system integrators, and technical operations teams who wish to enhance their automation processes by integrating external APIs with Make.

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

• Understand Make's API and how to extend its functionality.
• Work with APIs to integrate third-party applications.
• Create custom connectors for unsupported applications.
• Use advanced automation techniques with Make and APIs.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level software developers, system administrators, and IT project managers who wish to enhance their skills in building and managing automated, scalable, and collaborative IT environments.

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

• Understand the core principles and benefits of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
• Build and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
• Deploy and manage microservices using containerization tools like Docker and Kubernetes.
• Integrate security practices into the software development lifecycle with DevSecOps.
• Apply observability techniques to monitor and improve system reliability.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level professionals who wish to deploy fine-tuned models reliably and efficiently.

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

• Understand the challenges of deploying fine-tuned models into production.
• Containerize and deploy models using tools like Docker and Kubernetes.
• Implement monitoring and logging for deployed models.
• Optimize models for latency and scalability in real-world scenarios.

Red Hat: DevOps Culture and Practice Enablement (TL500) is a practical, hands-on course designed to assist teams in adopting DevOps principles through the execution of a real-world, end-to-end project utilizing open-source tools and agile methodologies.

Delivered as instructor-led live training (available online or onsite), this program targets intermediate-level IT professionals seeking to implement DevOps practices within a collaborative, practical environment while cultivating a culture of continuous improvement.

Upon completing this training, participants will be equipped to:

• Apply DevOps principles throughout the software development lifecycle.
• Implement agile practices, CI/CD pipelines, and team collaboration techniques.
• Effectively utilize containerization, version control, and automation tools.
• Instill a DevOps mindset and drive cultural shifts within their teams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and practical application.
• Hands-on implementation within a live-lab environment.

Course Customization Options

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

This instructor-led live training in Tashkent (available online or onsite) is designed for advanced business professionals and automation engineers who wish to leverage Zapier and AI integrations to scale their operations efficiently.

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

• Design and implement complex automation workflows using Zapier.
• Integrate AI models into business processes for predictive insights.
• Optimize operations by automating tasks across multiple platforms.
• Monitor and troubleshoot automated workflows for continuous improvement.

This instructor-led, live training in Tashkent (online or onsite) targets advanced-level DevOps teams and IT architects who want to use Kubiya AI to automate and optimize enterprise DevOps operations.

Upon completing this training, participants will be capable of:

• Adapting Kubiya AI to fit particular enterprise DevOps environments.
• Connecting Kubiya AI with CI/CD tools commonly used in enterprise DevOps.
• Upgrading DevOps automation through AI-powered workflows.
• Maintaining security and compliance standards within AI-driven DevOps processes.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level e-commerce professionals who wish to automate order processing, payments, and customer support using Zapier.

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

• Automate order processing and fulfillment.
• Sync payment data with accounting systems.
• Enhance customer support through automation.
• Optimize marketing and sales workflows.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level DevOps professionals in Uzbekistan who wish to integrate security into DevOps practices, focusing on automating security checks and processes within a CI/CD pipeline.

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

• Grasp the fundamentals of integrating security within the DevOps process.
• Automate security checks using Jenkins and integrate tools like SonarQube for code analysis and vulnerability scanning.
• Deploy secure applications with Kubernetes.
• Ensure secure communication between microservices using RabbitMQ, PostgreSQL, and MongoDB.
• Set up continuous monitoring and auditing to ensure compliance and security across deployments.

This instructor-led live training in Tashkent (online or onsite) is designed for intermediate-level marketers who want to automate lead generation, email campaigns, and customer follow-ups using Zapier.

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

• Grasp the role of Zapier in marketing automation.
• Establish workflows to automate lead generation and nurturing processes.
• Connect marketing tools such as CRMs, email platforms, and analytics software.
• Refine and troubleshoot automation workflows to ensure peak efficiency.

This instructor-led, live training in Tashkent (available online or on-site) is designed for advanced-level developers, automation specialists, and IT professionals aiming to master custom integrations and multi-step automations within Zapier.

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

• Build custom Zapier integrations using APIs and webhooks.
• Design and manage complex multi-step workflows.
• Optimize and troubleshoot advanced automation workflows.
• Integrate Zapier with proprietary or less common applications.

This instructor-led, live training in Tashkent (online or onsite) is designed for intermediate-level DevOps engineers and CI/CD managers who aim to enhance their pipelines with AI automation using Kubiya AI.

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

• Comprehend the fundamentals of integrating AI into DevOps pipelines.
• Implement Kubiya AI within popular CI/CD tools such as Jenkins and GitLab CI.
• Automate CI/CD pipeline tasks with Kubiya AI.
• Monitor and manage CI/CD pipelines using AI for proactive problem detection.

This instructor-led, live training in Tashkent (online or onsite) targets advanced-level DevOps engineers and automation specialists aiming to deepen their mastery of Kubiya AI and harness its full potential for large-scale operations.

Upon completing this training, participants will be equipped to:

• Automate complex workflows using Kubiya AI.
• Customize AI responses and actions.
• Scale DevOps operations with Kubiya AI.
• Troubleshoot and optimize Kubiya AI implementations.
• Understand and implement security and compliance measures.
• Integrate Kubiya AI with advanced CI/CD tools and additional cloud services.
• Set up performance monitoring and create custom reports.

This instructor-led, live training in Tashkent (online or on-site) is designed for intermediate-level professionals who want to create and optimise automated workflows using Zapier for business operations.

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

• Design and implement efficient Zapier workflows.
• Integrate multiple business apps for seamless automation.
• Optimise Zap performance and troubleshoot common issues.
• Scale workflow automation to meet business needs.

This instructor-led, live training in Tashkent (online or onsite) is tailored for beginner-level DevOps professionals and IT managers eager to explore Kubiya AI's capabilities and integrate them into their current toolchains.

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

• Grasp the features and advantages of Kubiya AI.
• Install and configure Kubiya AI within their infrastructure.
• Apply foundational use cases of Kubiya AI in DevOps scenarios.
• Connect Kubiya AI with their existing DevOps ecosystem.

SRE Practitioner Certification Preparation is a comprehensive training program that covers advanced Site Reliability Engineering practices aligned with the official DevOps Institute syllabus, preparing participants for certification success.

This instructor-led, live training (online or onsite) is aimed at experienced DevOps and SRE professionals who wish to master advanced SRE practices and prepare for the DevOps Institute SRE Practitioner certification exam.

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

• Recognize and correct common SRE anti-patterns.
• Define and manage SLIs, SLOs, and error budgets effectively.
• Design secure, fault-tolerant, and highly reliable systems.
• Implement advanced observability, automation, and incident response strategies.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Tashkent (online or onsite) is aimed at beginner-level professionals who wish to use Zapier to automate repetitive tasks and improve efficiency without coding.

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

• Understand the basics of Zapier and its automation capabilities.
• Set up and configure Zaps to automate tasks.
• Integrate popular business tools with Zapier.
• Manage and optimize automated workflows.

This comprehensive DevOps training program provides an in-depth exploration of key technologies including GitHub, CI/CD pipelines using Jenkins, Docker, and configuration management tools such as Puppet and Ansible. Throughout the course, participants will engage in practical, hands-on exercises to effectively apply and implement these concepts across the specified platforms.

This instructor-led, live training in Tashkent (online or onsite) is aimed at engineering and design professors who wish to understand, apply, and teach modern software development practices relevant to systems engineering, civil engineering, design, and architecture disciplines.

AIOps is a rapidly evolving field that addresses the needs of modern, complex IT environments—particularly those operating within cloud architectures. The AIOps Foundation course offers a comprehensive introduction to the concepts, technologies, and practices related to the use of artificial intelligence in IT operations.

The program covers the background of AIOps, its core principles, tools, and the organizational challenges faced by IT teams adopting these approaches.

The training concludes with an exam. Passing it grants the globally recognized AIOps Foundation certification, valid for three years.

Who is it for?

This course is designed for professionals and managers involved in:

IT operations

DevOps and Site Reliability Engineering (SRE)

Cloud architecture

Data analysis and Data Science

Software development

IT security

Product and project management

This instructor-led, live training in Tashkent (online or onsite) is aimed at DevOps engineers, developers, and project managers who wish to efficiently execute preprogrammed functions and administer software development workflows using the powerful RESTful API of Ansible AWX.

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

• Install and configure Ansible AWX on their preferred software development environment.
• Understand the DevOps principles and concepts foundational to Ansible AWX.
• Utilize AWX's automation tools to enhance workflows and facilitate DevOps processes.
• Integrate AWX with external resources to leverage its features and collaborate with teams.

This instructor-led, live training in Tashkent (online or on-site) is designed for DevOps engineers, developers, and SysOps administrators who wish to maximise the tools and features offered by the Ansible project to advance organisational IT infrastructures and processes.

Participants will also have the opportunity to carry out complex Ansible implementations for large-scale applications while leveraging its open-source tower for optimised DevOps management and collaboration.

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

• Install and configure Ansible alongside other open-source tools and resources.
• Establish a centralised system for DevOps management using Ansible project features.
• Operate Ansible's automation tools and advanced resources to adopt a CI/CD approach.
• Implement improved SysOps methods using Ansible's collaborative features for managing larger teams.
• Enhance the execution of DevOps tasks within the organisation and optimise existing ones.
• Integrate Ansible with external platforms and leverage other Ansible tools to benefit the organisation.

This instructor-led, live training in Tashkent (online or onsite) is aimed at DevOps engineers who wish to automate IT infrastructure with Ansible and Puppet.

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

• Configure and manage IT infrastructure.
• Build a pipeline for effective code deployment.
• Implement self-service infrastructure and application delivery.

This instructor-led, live training in Tashkent (available online or on-site) is designed for DevOps engineers and developers who wish to leverage CodePipeline to automate release pipelines, enabling efficient updates to applications and infrastructure.

Upon completion of this training, participants will be able to utilise CodePipeline features and tools to automate and configure workflows within software release processes.

Target Audience:

This course is suitable for cloud engineers, solution architects, members of center of excellence teams, Windows server administrators, Unix/Linux administrators, storage administrators, network administrators, and virtualization administrators.

Course Objectives:

Upon completion of this course, you will be able to:

• Apply core concepts and best practices associated with the DevOps methodology
• Design and implement AWS infrastructure that supports one or more DevOps-driven development initiatives
• Utilize AWS CloudFormation and AWS OpsWorks to provision the infrastructure required to establish development, testing, and production environments for software projects
• Leverage AWS CodeCommit and explore various options for establishing a Continuous Integration environment within AWS
• Employ AWS CodePipeline to architect and execute Continuous Integration and Delivery pipelines on AWS
• Implement common Continuous Deployment scenarios using AWS technologies, such as blue/green deployments and A/B testing
• Differentiate among AWS application deployment technologies (including AWS CodeDeploy, AWS OpsWorks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry) and select the most appropriate tool for specific scenarios
• Optimize application performance on AWS and utilize AWS tools to monitor applications and environments for potential issues

Target Audience:

This course is designed for professionals involved in or implementing the DevOps lifecycle, including DevOps evangelists, automation architects, cloud infrastructure engineers, software developers, QA engineers, security engineers, database administrators, and product owners. Please refer to the syllabus below for a comprehensive list of relevant roles.

Learning Outcomes:

Upon completion of this training, participants will be able to demonstrate knowledge, understanding, and basic application of the following DevOps principles:

• Origins
• Benefits
• Culture and teams
• Automation
• Lean methodologies
• Measurement
• Knowledge sharing
• Common roles
• Practices and techniques
• Methods and approaches for teams

Course Format:

• Interactive lectures and discussions
• Extensive exercises and practice sessions
• Hands-on implementation in a live-lab environment

This intensive 7-day program offers a comprehensive, practical exploration into the design, deployment, and operation of cloud-native applications through contemporary DevOps methodologies.

Participants will learn to architect scalable microservices solutions, optimize containerized environments, and manage production-grade workloads using Kubernetes. The curriculum includes advanced deployment techniques, GitOps-driven automation, and robust observability frameworks to guarantee system stability and high performance.

Emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The program wraps up by leveraging AI-enabled tools to enhance troubleshooting capabilities and expedite operational decision-making processes.

Upon completion, participants will possess a solid grasp of how to construct, deploy, monitor, and sustain resilient distributed systems within a Kubernetes ecosystem.

This three-day program offers a thorough introduction to the DASA DevOps Fundamentals, focusing on Agile DevOps principles as established by the DevOps Agile Skills Association (DASA). Participants will gain proficiency in DevOps terminology, core principles, and best practices. Through the application of key DevOps concepts, real-world case studies, illustrative examples, collaborative discussions, and hands-on exercises, attendees will develop a solid foundational understanding of DevOps.

Target Audience:

Professionals engaged in IT development, IT operations, or IT service management who need to work with DevOps and continuous delivery methodologies. This includes DevOps engineers, product owners, integration specialists, operations managers, change managers, system administrators, incident and network administrators, business managers, automation architects, and enterprise architects.

This training program covers essential DevOps principles and methodologies, along with guidance on implementing DevOps practices within your organization. By the end of the course, participants will grasp the core value of DevOps and gain hands-on experience with key tools such as Puppet, Jenkins, and others. The course includes practical labs to help reinforce theoretical concepts. KEY TOPICS include DevOps tools and practices, an introduction to Puppet, cloud computing fundamentals, and Jenkins.

This instructor-led, live training in Tashkent (available online or on-site) is tailored for DevOps engineers who wish to automate code and code deployment using Atlassian Bamboo.

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

• Utilise a CI/CD system.
• Provide application configuration files for targeted environments.
• Build and package code with Atlassian Bamboo.

This course is tailored for professionals involved in the design, implementation, and management of DevOps deployment pipelines and toolchains that facilitate Continuous Integration, Continuous Delivery, Continuous Testing, and potentially Continuous Deployment. It emphasizes the underlying processes, metrics, APIs, and cultural factors integral to Continuous Delivery.

Learn how to optimize testing to test faster while still achieving good quality and consistent, stable results.

Learn what DevOps Engineering is, why DevOps engineering is important, and how DevOps is engineered for success.

The course opens with a short review of DevOps foundational principles and then transitions into implementing DevOps. It is designed from an engineering point of view and covers topics such as DevOps in relation to other frameworks, technologies,
application design practices, continuous integration practices, continuous delivery and deployment, continuous testing, elastic infrastructures, monitoring, metrics, observability, governance, human aspects, and future trends of DevOps engineering.

The DevOps Foundation course provides a baseline understanding of key DevOps terminology to ensure everyone is talking the same language and highlights the benefits of DevOps to support organizational success.

This instructor-led live training, offered in Tashkent (online or onsite), is tailored for DevOps engineers, IT managers, and developers who wish to master the fundamentals of DevOps and effectively implement these practices and tools within their organizations.

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

• Comprehend and apply the principles and mindset behind DevOps.
• Design and implement transformation plans to adopt DevOps in their organization.
• Automate repetitive tests and processes for faster delivery and shorter turnaround time in the development life cycle.
• Integrate security operations and practices into the DevOps pipeline to eliminate vulnerabilities and data breaches.

This course highlights the human dynamics of cultural change, equipping participants with practices, methods, and tools to engage individuals across the DevOps spectrum through real-life scenarios and case studies. Upon completion, participants will gain actionable insights to apply immediately in the workplace, such as mastering Value Stream Mapping.

In this instructor-led, live course in Tashkent, participants will learn how to develop an effective security strategy to address the challenges of DevOps security.

This training emphasizes hands-on implementation and the utilization of modern tools. It presumes a solid grasp of DevOps theoretical foundations (refer to the DEVOPS course) and concentrates on contemporary methods and technologies for applying DevOps principles.

An introduction to value stream management principles, practices, and tools. Designed to optimize value flow and realization in digital value streams and develop individuals’ skills. Digital value streams include the software applications and services in addition to the platforms that support them e.g., cloud infrastructure or DevOps toolchains

This instructor-led, live training in Tashkent (online or onsite) targets DevOps professionals aiming to deepen their understanding of DevSecOps methodological theories and the concept of DevSecOps in general.

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

• Understand how a DevSecOps program integrates security into a software development pipeline.
• Build a secure continuous delivery pipeline.
• Automate security testing for a software delivery workflow.

Course topics covered include how DevSecOps provides business value, enhancing your business opportunities, and improving corporate value. The core DevSecOps principles taught can support an organizational transformation, increase productivity, reduce risk, and optimize resource usage.

This course offers a comprehensive exploration of the Software Development Life Cycle (SDLC) and its secure implementation through automation, integration, and security best practices. Participants will gain practical experience in integrating DevOps and DevSecOps methodologies to strengthen software security without compromising efficiency. The course also covers essential OWASP tools for threat modeling, SBOM integration, vulnerability tracking, and security testing within CI/CD pipelines.

The DevSecOps Practitioner course introduces a range of practices for advancing to a more comprehensive understanding of DevSecOps. Explore practical outcomes by finding the right mix of people, building processes to accelerate value, and comparing technological options available today. Tailored for recently transformed organizations looking to enhance DevSecOps skills and awareness.

This world-class, cutting-edge, hands-on workshop immerses participants in the critical realities of modern CI/CD pipeline security. Designed for security professionals, DevOps engineers, and developers eager to master advanced pipeline breach defense, the training blends live attack simulations with industry-leading tools and practical defense techniques.

This instructor-led, live training in Tashkent (online or onsite) is aimed at DevOps engineers and infrastructure architects who wish to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

This instructor-led, live training Tashkent (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

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

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform designed to automate the entire development lifecycle of containerized applications. Design patterns offer proven, repeatable solutions to common challenges in software design and development. Kubernetes extensions are used to configure and support the functionality of Kubernetes clusters. By leveraging these design patterns and extensions, users can implement CI/CD methodologies while preserving the scalability and flexibility of their software applications.

This instructor-led live training, available both online and onsite, is tailored for developers and DevOps engineers who want to utilize Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

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

• Establish a Kubernetes cluster and configure the essential DevOps tools.
• Grasp the core concepts of software design patterns and Kubernetes extensions.
• Apply Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Create customized Kubernetes resources and apply dynamic controllers to a cluster.
• Manage and secure any Kubernetes environment using Kubernetes plugins.
• Integrate DevOps networking models into current and future Kubernetes projects.

Format of the Course

• Interactive lectures and discussions.
• Extensive exercises and practical activities.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Tashkent (online or on-site) is tailored for engineers seeking to evaluate current approaches and tools to make informed decisions about adopting MLOps within their organizations.

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

• Install and configure various MLOps frameworks and tools.
• Assemble the right team with the necessary skills to build and support an MLOps system.
• Prepare, validate, and version data for use by ML models.
• Understand the components of an ML Pipeline and the tools required to build one.
• Experiment with different machine learning frameworks and servers for deploying to production.
• Operationalize the entire Machine Learning process to ensure it is reproducible and maintainable.

This instructor-led, live training in Tashkent (online or onsite) is designed for DevOps engineers, developers, and SysOps administrators who aim to leverage the Red Hat Ansible Automation Platform to execute software development functions and orchestrate advanced IT processes.

Additionally, participants will be able to demonstrate and refine Ansible practices that are beneficial for specific enterprise applications, all while efficiently collaborating with their teams to achieve complex business functionalities.

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

• Install and configure Red Hat Ansible Automation Platform within their preferred environment.
• Gain familiarity with advanced Ansible features for centralizing and managing projects.
• Leverage automation tools and higher-level resources of Red Hat Ansible to implement a CI/CD approach.
• Apply administrative methods to improve collaboration among larger teams.
• Enhance the execution of DevOps tasks within the organization and optimize existing processes.
• Integrate the Ansible Automation Platform with other Red Hat distributions to maximize productivity.

This capstone course empowers participants to design, deploy, and manage a complete sovereign digital infrastructure stack from the ground up. Upon completion, students will have constructed a fully functional mini-organization utilizing exclusively self-hosted, open-source tools covering identity, communication, productivity, development, security, AI, and monitoring—entirely independent of Google, Microsoft, AWS, or proprietary SaaS providers.

The SRE (Site Reliability Engineering) Foundation course introduces the core principles and practices that allow organizations to scale critical services reliably and cost-effectively. Adopting a site-reliability approach demands organizational realignment, a renewed emphasis on engineering and automation, and the implementation of new operational paradigms.