DevOps Training in Tashkent

This instructor-led live training in Tashkent (online or onsite) targets intermediate-level remote teams, project managers, and HR professionals who aim to automate collaboration and task management processes using Make.

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

• Automate team collaboration tasks and notifications.
• Integrate Make with project management tools.
• Streamline HR and onboarding workflows.
• Improve task tracking and reporting with automation.

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 (available online or on-site) is designed for advanced-level developers and technical consultants who aim to create tailored automation solutions and extend n8n's functionality to meet specific organisational needs.

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

• Set up a development environment for building custom nodes in n8n.
• Develop custom nodes to address specific business use cases.
• Test and debug custom nodes within a controlled environment.
• Deploy and maintain custom nodes for production use.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level DevOps professionals who wish to automate CI/CD pipelines, infrastructure monitoring, and cloud deployments using Make.

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

• Automate CI/CD workflows using Make and integrate with Jenkins, GitHub, and Docker.
• Manage infrastructure automation for provisioning and monitoring cloud resources.
• Implement efficient workflow automation for code deployment, testing, and rollback strategies.
• Optimize infrastructure orchestration using Make’s advanced integrations.

This instructor-led, live training in Tashkent (online or onsite) is aimed at advanced-level developers and data engineers who wish to master advanced workflow automation techniques using n8n.

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

• Create and implement advanced workflows with conditional logic and branching.
• Integrate with complex APIs and third-party systems.
• Develop and deploy custom nodes to expand n8n’s functionality.
• Optimize workflows for scalability and efficiency in data-heavy environments.

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.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level professionals who wish to leverage Make for integrating various business applications, streamlining operations, and improving productivity.

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

• Set up automated workflows between different business applications.
• Use Make to connect SaaS tools such as Google Workspace, Slack, Trello, and Stripe.
• Design and implement multi-step workflows without coding.
• Optimize and troubleshoot automated workflows.

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 on-site) targets advanced-level participants aiming to deploy Apache Airflow within cloud environments, establish CI/CD pipelines, and implement comprehensive monitoring and logging practices.

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

• Deploy Apache Airflow in cloud and containerized environments.
• Set up CI/CD pipelines to automate DAG testing and deployment.
• Integrate monitoring and logging tools to enhance system reliability.
• Optimize Airflow configurations for performance and scalability.
• Implement security best practices for managing workflows and environments.

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 designed for intermediate-level data professionals who aim to utilize Make for developing automated data pipelines and optimizing data synchronization processes.

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

• Set up automated data pipelines using Make.
• Integrate various data sources, including databases, CRMs, and cloud applications.
• Implement real-time data synchronization and transformation.
• Optimize and troubleshoot automation workflows.

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 (available online or on-site) is designed for intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment, using Apache Airflow.

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

• Configure Apache Airflow to orchestrate machine learning workflows.
• Automate tasks such as data preprocessing, model training, and validation.
• Integrate Airflow with various machine learning frameworks and tools.
• Deploy machine learning models through automated pipelines.
• Monitor and optimize machine learning workflows in production environments.

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 eCommerce professionals who want to streamline their sales and inventory management processes using Make.

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

• Integrate eCommerce platforms like Shopify, WooCommerce, and Etsy with Make.
• Automate inventory updates and order tracking across multiple platforms.
• Set up automated workflows for customer communication and support.
• Optimize sales and inventory management through advanced automation strategies.

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 (online or onsite) targets advanced-level participants who aim to build custom operators, sensors, and plugins within Apache Airflow, and integrate them with existing data systems to enable sophisticated automation and monitoring.

Upon completing this training, participants will be able to:

• Develop custom operators, hooks, and sensors tailored to specific workflows.
• Design and implement Airflow plugins to extend system functionality.
• Integrate Airflow workflows with external systems and services.
• Optimize and monitor workflows using advanced debugging tools.
• Apply best practices for managing large-scale Airflow deployments.

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) targets developers and IT professionals of all levels who wish to automate tasks and processes using AI without extensive coding.

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

• Design and implement complex workflows using n8n's visual programming interface.
• Integrate AI capabilities into workflows using LangChain.
• Build custom chatbots and virtual assistants for various use cases.
• Perform advanced data analysis and processing with AI agents.

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 (available online or onsite) is designed for intermediate-level marketing professionals who aim to automate repetitive tasks, nurture leads effectively, and optimize customer engagement through workflow automation.

Upon completing this training, participants will be equipped to:

• Utilize Make to automate marketing campaigns and lead nurturing processes.
• Develop personalized customer journey maps using integrated platforms.
• Synchronize data across marketing tools such as Mailchimp, HubSpot, and social media channels.
• Monitor and analyze automated workflows to improve campaign performance.
• Implement best practices for scalable marketing automation strategies.

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 onsite) targets intermediate to advanced developers and AI enthusiasts who wish to create advanced AI workflows in n8n.

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

• Understand the integration of AI services with n8n workflows.
• Implement AI-driven decision-making in automated processes.
• Create custom AI nodes and use pre-built AI nodes in n8n.
• Analyze and optimize the performance of AI workflows.

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 live, instructor-led training, conducted in Tashkent (online or onsite), is designed for intermediate participants aiming to optimize workflow performance, handle complex dependencies, and scale Apache Airflow deployments for large-scale datasets and enterprise scenarios.

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

• Optimize Apache Airflow workflows for enhanced performance and reliability.
• Manage and troubleshoot complex workflow dependencies.
• Utilize advanced Airflow features, including custom operators and sensors.
• Scale Apache Airflow to handle larger data sets and distributed systems.
• Implement best practices for monitoring, logging, and security in Airflow environments.

This instructor-led, live training in Tashkent (online or onsite) is aimed at intermediate-level IT professionals and automation engineers who wish to master advanced features of Make, optimize complex workflows, and handle error management effectively.

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

• Utilize advanced features of Make for workflow automation.
• Optimize workflows using conditional logic, iterators, and error handling.
• Integrate multiple applications for seamless automation.
• Monitor and troubleshoot workflows for maximum efficiency.
• Implement best practices for scaling workflow automation solutions.

Apache Airflow is an open source platform for authoring, scheduling, and monitoring workflows. With Airflow 2.x, organizations can orchestrate data pipelines at scale, integrate with cloud services, and ensure robust observability and security in production environments.

This instructor-led, live training (online or onsite) is aimed at beginner-level to intermediate-level data and DevOps professionals who wish to use Apache Airflow to build, automate, and scale end-to-end data pipelines.

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

• Install and configure Apache Airflow in different environments.
• Author, schedule, and monitor DAGs using the TaskFlow API.
• Integrate Airflow with data sources, cloud services, and ML workflows.
• Manage ETL pipelines and ensure data reliability.
• Secure and scale Airflow using executors, queues, and Kubernetes.
• Apply observability and best practices for production deployments.

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 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.

This instructor-led, live training in Tashkent (online or onsite) is aimed at beginner-level participants who wish to learn the basics of workflow automation and simplify their daily tasks using Make.

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

• Create and manage workflows in Make.
• Integrate different applications into workflows.
• Automate simple tasks such as data synchronization, notifications, and file management.
• Understand how to use pre-built templates and create custom workflows.
• Learn how to troubleshoot and debug workflows.

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 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 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 intensive 7-day program delivers a practical, immersive experience in designing, deploying, and managing cloud-native applications through modern DevOps methodologies.

Attendees will learn to architect scalable microservices, optimize containerized environments, and manage production workloads with Kubernetes. The curriculum addresses advanced deployment techniques, GitOps-driven automation, and observability standards to guarantee system stability and high performance.

A significant portion of the training focuses on tackling real-world operational hurdles, such as incident handling, failure simulation, and root cause analysis. The course wraps up by introducing AI-powered tools designed to streamline troubleshooting and speed up operational decision-making.

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

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 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 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 designed for DevOps engineers and infrastructure architects who seek to automate the provisioning, monitoring, and lifecycle management of private AI clusters built on EXO.

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 is tailored for intermediate-level professionals who want to automate business processes and develop their first AI agent using Make.

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

• Design no-code workflows in Make utilizing triggers and webhooks.
• Connect an AI agent to their data within a workflow.
• Automate a real process from start to finish, including error handling and monitoring.

This practical, management-oriented DevOps course offers a comprehensive overview of contemporary software delivery practices, integrating DevOps culture, processes, tools, and business strategy. By combining presentations, demonstrations, hands-on labs, and workshops, participants explore the entire DevOps lifecycle, ranging from version control and CI/CD pipelines to containers, infrastructure automation, security integration, and reliability engineering.

The programme extends beyond technical concepts by emphasising the managerial dimensions of DevOps adoption, such as organisational change, maturity assessment, performance measurement, and the creation of business value. Participants engage with real-world scenarios and their own projects to pinpoint areas for improvement, evaluate current delivery practices, and develop practical action plans for implementing DevOps within their organisations.

This capstone course empowers participants to design, deploy, and operate a comprehensive sovereign digital infrastructure stack from the ground up. By the conclusion of the program, students will have constructed a functional mini-organization utilizing exclusively self-hosted, open-source tools across identity, communication, productivity, development, security, AI, and monitoring domains—eliminating any reliance on 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.