DevOps Training in Queretaro

This instructor-led, live training in Queretaro (online or onsite) is aimed at intermediate-level remote teams, project managers, and HR professionals who wish 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 Queretaro (online or onsite) is aimed at advanced-level AI/ML engineers, data scientists, and tech innovators who wish 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 Queretaro (online or onsite) is designed for advanced developers, system integrators, and technical operations teams who want 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 Queretaro (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 live, instructor-led training in Queretaro (online or on-site) is designed for advanced DevOps professionals seeking to automate CI/CD pipelines, infrastructure monitoring, and cloud deployments using Make.

Upon completing this training, participants will be equipped to:

• Automate CI/CD workflows with Make, integrating seamlessly with Jenkins, GitHub, and Docker.
• Handle infrastructure automation for provisioning and monitoring cloud assets.
• Deploy efficient workflow automation for code deployment, testing, and rollback strategies.
• Enhance infrastructure orchestration by leveraging Make’s advanced integrations.

This instructor-led, live training in Queretaro (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 Queretaro (online or onsite) targets intermediate-level professionals seeking 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.

Red Hat: Enabling DevOps Culture and Practices (TL500) is a practical course designed to assist teams in adopting DevOps principles and methodologies by completing a real-world, end-to-end project using open source tools and agile frameworks.

This instructor-led, live training (available online or on-site) targets intermediate IT professionals looking to implement DevOps practices in a collaborative environment while cultivating a culture of continuous improvement.

Upon completing this training, participants will be able 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.
• Promote a DevOps mindset and facilitate cultural transformation within teams.

Course Format

• Interactive lectures and discussions.
• Extensive exercises and hands-on practice.
• Practical implementation in a live-lab environment.

Customization Options

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

This instructor-led, live training in Queretaro (online or on-site) is designed for advanced business professionals and automation engineers who want to leverage Zapier and AI integrations to scale operations efficiently.

Upon completing this training, participants will be able to:

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

This live, instructor-led training in Queretaro (online or in-person) is designed for advanced DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.

Upon completion of this training, participants will be capable of:

• Tailoring Kubiya AI for specific enterprise DevOps environments.
• Connecting Kubiya AI with CI/CD tools utilized in enterprise DevOps.
• Improving DevOps automation through AI-powered workflows.
• Maintaining security and compliance within AI-driven DevOps processes.

This instructor-led, live training in Queretaro (online or onsite) is designed for intermediate-level data professionals seeking to use Make to build automated data pipelines and streamline data synchronization processes.

Upon completion of this training, participants will be capable of:

• Establishing automated data pipelines using Make.
• Integrating diverse data sources, such as databases, CRMs, and cloud applications.
• Implementing real-time data synchronization and transformation.
• Optimizing and troubleshooting automation workflows.

This instructor-led, live training in Queretaro (online or onsite) targets intermediate-level e-commerce professionals seeking 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 Queretaro (online or onsite) targets intermediate-level DevOps professionals 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 Queretaro (online or on-site) is designed for intermediate eCommerce professionals seeking 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 guided, live training in Queretaro (online or in-person) is designed for intermediate marketers looking to automate lead generation, email campaigns, and customer follow-ups using Zapier.

Upon completing this training, participants will be capable of:

• Grasping Zapier’s function within marketing automation.
• Establishing workflows to automate the generation and nurturing of leads.
• Integrating marketing tools like CRMs, email platforms, and analytics software.
• Enhancing and resolving issues in automation workflows to ensure peak efficiency.

This instructor-led, live training in Queretaro (online or onsite) is designed for advanced developers, automation specialists, and IT professionals who want to master custom integrations and multi-step automations in Zapier.

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

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

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

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

• Understand 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 Queretaro (online or onsite) targets advanced-level DevOps engineers and automation specialists who wish to deepen their understanding of Kubiya AI and leverage its full capabilities for large-scale operations.

By the end of this training, participants will be able 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 guided, live training in Queretaro (online or in-person) is designed for intermediate professionals aiming to build and refine automated workflows using Zapier to support business operations.

Upon completing this training, participants will be capable of:

• Creating and deploying effective Zapier workflows.
• Connecting multiple business applications for smooth automation.
• Enhancing Zap efficiency and resolving typical errors.
• Expanding workflow automation to align with organizational requirements.

This instructor-led, live training in Queretaro (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.

This instructor-led, live training in Queretaro (online or onsite) is designed for beginner-level DevOps professionals and IT managers who want to explore Kubiya AI's capabilities and integrate it with their existing tools.

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

• Understand the features and benefits of Kubiya AI.
• Set up and configure Kubiya AI in their environment.
• Implement basic use cases for Kubiya AI in DevOps.
• Integrate Kubiya AI with existing DevOps tools.

The SRE Practitioner Certification Preparation program is a comprehensive training initiative designed to master advanced Site Reliability Engineering practices, fully aligned with the official DevOps Institute syllabus to ensure participants are well-equipped for certification success.

This live, instructor-led training, available in both online and onsite formats, targets seasoned DevOps and SRE professionals who aim to deepen their expertise in advanced SRE methodologies and successfully prepare for the DevOps Institute SRE Practitioner certification examination.

Upon completing this training, participants will gain the ability to:

• Identify and rectify common anti-patterns in SRE.
• Effectively define and manage Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budgets.
• Architect secure, fault-tolerant, and highly reliable systems.
• Deploy advanced strategies for observability, automation, and incident response.

Course Format

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

Customization Options

• To request a customized version of this course, please reach out to us to arrange it.

This instructor-led, live training in Queretaro (online or onsite) is designed for 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:

• Grasp the fundamentals of Zapier and its automation features.
• Create and configure Zaps to automate tasks.
• Connect popular business tools with Zapier.
• Manage and refine automated workflows.

This instructor-led, live training in Queretaro (online or onsite) is designed for 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 Queretaro (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to maximize the tools and features made available through the Ansible project for the advancement of organizational IT infrastructures and processes.

Simultaneously, they can utilize the opportunity to carry out complex Ansible implementations for large-scale applications while employing its open-sourced tower for optimized DevOps management and collaboration functions.

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

• Install and configure Ansible along with other open-source tools and resources.
• Establish a centralized system for DevOps management using Ansible project features.
• Operate automation tools and advanced resources of Ansible to achieve CI/CD approach.
• Execute better SysOps methods using Ansible's collaborative features for management of larger teams.
• Enhance DevOps tasks execution within the organization and optimize existing ones.
• Integrate Ansible with external platforms and leverage other Ansible tools for the organization's advantage.

This instructor-led, live training in Queretaro (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 Queretaro (online or onsite) is designed for DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient application and infrastructure updates.

By the end of this training, participants will be able to use CodePipeline features and tools to automate and configure workflows in software release workflows.

Target Audience:

Cloud engineers, Solution architects, Center of Excellence teams, Windows Server administrators, Unix/Linux administrators, Storage administrators, Network administrators, and Virtualization administrators

Course Objectives:

This course is structured to equip you with the skills to:

• Apply the core concepts and practices of the DevOps methodology
• Design and implement AWS infrastructure that supports one or more DevOps development initiatives
• Leverage AWS CloudFormation and AWS OpsWorks to deploy the infrastructure required for development, testing, and production environments within a software development project
• Utilize AWS CodeCommit and understand the available options for establishing a Continuous Integration environment on AWS
• Design and implement a Continuous Integration and Delivery pipeline on AWS using AWS CodePipeline
• Execute common Continuous Deployment use cases using AWS technologies, such as blue/green deployments and A/B testing
• Differentiate among the various application deployment technologies offered by AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry) to select the most suitable tool for a specific scenario
• Optimize applications delivered on AWS for high performance and utilize AWS tools to monitor your applications and environments for potential issues

This 7-day program offers a comprehensive, hands-on experience in designing, deploying, and managing cloud-native applications through modern DevOps practices.

Participants will learn how to design scalable microservices architectures, optimize container environments, and manage production workloads using Kubernetes. The course covers advanced deployment strategies, GitOps-based automation, and observability techniques to ensure system reliability and performance.

The program emphasizes real-world operational challenges, including incident response, failure simulation, and root cause analysis. It concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

By the end of the training, participants will clearly understand how to build, deploy, monitor, and maintain resilient distributed systems in a Kubernetes-based environment.

This training program provides an overview of essential DevOps concepts and principles, along with guidance on establishing a DevOps practice within your organization. Upon completing this course, participants will develop a foundational understanding of the value DevOps offers and gain practical experience using selected DevOps tools such as Puppet, Jenkins, and others. The course is enhanced with hands-on labs designed to help attendees reinforce their theoretical knowledge of the material covered. TOPICS DevOps practices and tools Puppet Technical introduction to cloud computing Jenkins

This instructor-led live training in Queretaro (online or onsite) is aimed at DevOps engineers who wish to automate code and deployment with Atlassian Bamboo.

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

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

This course is designed for participants who are engaged in the design, implementation, and management of DevOps deployment pipelines and toolchains that support Continuous Integration, Continuous Delivery, Continuous Testing and potentially Continuous Deployment. The course highlights underpinning processes, metrics, APls and cultural considerations with Continuous Delivery

Learn how to optimize testing to test faster while still obtaining good quality and a consistent stable result.

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 in Queretaro (online or onsite) is designed for DevOps engineers, IT managers, or developers who wish to understand the fundamentals of DevOps and subsequently adopt its practices and tools within their organizations.

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

• Comprehend and apply the principles and mindset underlying DevOps.
• Design and execute transformation plans to adopt DevOps within their organization.
• Automate repetitive tests and processes to accelerate delivery and reduce turnaround time in the development lifecycle.
• Incorporate security operations and practices into the DevOps pipeline to prevent vulnerabilities and data breaches.

This course emphasizes the human dynamics of cultural change, providing participants with practices, methods, and tools to engage individuals throughout the DevOps spectrum using real-life scenarios and case studies. Upon completion, participants gain tangible takeaways to apply upon returning to work, such as proficiency in Value Stream Mapping.

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

This course emphasizes hands-on application and tooling. It presupposes a solid grasp of theoretical principles (refer to the DEVOPS course) and concentrates on the latest tools and methodologies for putting DevOps concepts into practice.

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 Queretaro (online or on-site) is aimed at DevOps professionals who wish to gain a deeper understanding of DevSecOps methodological theories and the concept of DevSecOps in general.

Upon completing this training, participants will be able to:

• Understand how a DevSecOps program can integrate 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.

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 delivery, and comparing technological options available today. This course is 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 Queretaro (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 Queretaro (online or onsite) targets DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug, and deploy high-performance, scalable applications.

Upon completing this training, participants will be able to:

• Configure the necessary development environment for building Java applications.
• Grasp the features and architecture of Kubernetes.
• Gain insight into key DevOps concepts and tools.
• Review fundamental Java programming concepts.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform designed to automate the entire lifecycle of developing containerized applications. Design patterns represent iterative solutions to common software development challenges, particularly those related to system architecture. Kubernetes extensions serve to configure and support cluster operations. By applying Kubernetes 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 online or onsite) targets developers and DevOps engineers seeking to leverage Kubernetes design patterns and extensions to build enterprise-grade applications on Kubernetes clusters.

Upon completion of this training, participants will be capable of:

• Establishing a Kubernetes cluster and configuring essential DevOps tools.
• Gaining a solid understanding of software design patterns and Kubernetes extensions.
• Effectively utilizing Kubernetes extensions and design patterns when interacting with the Kubernetes API.
• Developing custom Kubernetes resources and applying dynamic controllers to a cluster.
• Managing and securing Kubernetes environments using Kubernetes plugins.
• Integrating DevOps networking models into both existing and future Kubernetes projects.

Format of the Course

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

Course Customization Options

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

This instructor-led, live training in Queretaro (online or onsite) is designed for engineers who wish to evaluate the approaches and tools available today to make informed decisions about adopting MLOps within their organizations.

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

• Install and configure various MLOps frameworks and tools.
• Build a skilled team capable of constructing and supporting 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 production deployment.
• Operationalize the entire Machine Learning process to ensure it is reproducible and maintainable.

This instructor-led live training in Queretaro (online or onsite) is aimed at DevOps engineers, developers, and SysOps administrators who wish to employ the Red Hat Ansible Automation Platform for executing software development functions and orchestrating advanced IT processes.

Furthermore, they can demonstrate and hone Ansible practices that are advantageous to specific enterprise applications, all the while efficiently collaborating with their respective teams for the accomplishment of complex business functionalities.

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

• Install and configure Red Hat Ansible Automation Platform within the preferred environment.
• Familiarize with advanced Ansible features for centralizing and managing projects.
• Utilize automation tools and higher-level resources of Red Hat Ansible to achieve CI/CD approach.
• Perform administrative methods for better collaboration of larger teams.
• Enhance DevOps tasks execution within the organization and optimize existing ones.
• Integrate Ansible Automation Platform with other Red Hat distributions to maximize productivity.

This capstone course equips participants with the skills to design, deploy, and manage a complete sovereign digital infrastructure stack from the ground up. Upon completing the course, students will have constructed a functional mini-organization utilizing exclusively self-hosted, open-source tools for identity, communication, productivity, development, security, AI, and monitoring—eliminating any dependency on Google, Microsoft, AWS, or proprietary SaaS platforms.

The SRE (Site Reliability Engineering) Foundation course serves as an introduction to the core principles and practices that empower an organization to scale critical services both reliably and cost-effectively. Implementing a site-reliability mindset demands organizational realignment, a renewed emphasis on engineering and automation, and the adoption of various new operational paradigms.