DevOps Training in Toluca

This instructor-led, live training in Toluca (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 Toluca (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 Toluca (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 Toluca (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 Toluca (online or on-site) is designed for advanced developers and technical consultants who wish to create tailored automation solutions and expand n8n’s functionality to meet specific organizational needs.

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

• Configure a development environment for creating custom nodes in n8n.
• Create custom nodes tailored to specific business use cases.
• Test and debug custom nodes within a controlled setting.
• Deploy and maintain custom nodes for production environments.

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

Upon completion 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 Toluca (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 Toluca (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.

This instructor-led, live training in Toluca (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 instructor-led, live training in Toluca (online or onsite) targets advanced participants aiming to deploy Apache Airflow within cloud ecosystems, establish CI/CD pipelines, and implement comprehensive monitoring and logging strategies.

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

• Deploying Apache Airflow in cloud and containerized environments.
• Establishing CI/CD pipelines to automate DAG testing and deployment processes.
• Integrating monitoring and logging tools to improve system reliability.
• Tuning Airflow configurations for enhanced performance and scalability.
• Applying security best practices to manage workflows and environments effectively.

This live, instructor-led training in Toluca (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 Toluca (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 Toluca (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 Toluca (online or onsite) targets 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:

• Set up Apache Airflow for machine learning workflow orchestration.
• Automate data preprocessing, model training, and validation tasks.
• Integrate Airflow with machine learning frameworks and tools.
• Deploy machine learning models using automated pipelines.
• Monitor and optimize machine learning workflows in production.

This instructor-led, live training in Toluca (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 Toluca (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 Toluca (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 Toluca (online or onsite) is aimed at advanced-level participants who wish to create custom operators, sensors, and plugins in Apache Airflow, and integrate these with existing data systems for advanced automation and monitoring.

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

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

This instructor-led, live training in Toluca (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 Toluca (online or onsite) targets developers and IT professionals of all skill levels who wish to automate tasks and processes using AI without writing extensive code.

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

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

• Use Make to automate marketing campaigns and lead nurturing workflows.
• Create personalized customer journey maps through integrated platforms.
• Sync data across marketing tools like Mailchimp, HubSpot, and social media platforms.
• Monitor and analyze automated workflows to optimize campaign performance.
• Adopt best practices for scalable marketing automation strategies.

This instructor-led, live training in Toluca (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 instructor-led, live training in Toluca (online or onsite) targets developers and AI enthusiasts with intermediate to advanced skills 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 guided, live training in Toluca (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 Toluca (online or onsite) is aimed at intermediate-level participants who wish to optimize workflow performance, handle complex dependencies, and scale Apache Airflow deployments for larger datasets and enterprise use cases.

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

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

This instructor-led, live training in Toluca (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 designed for authoring, scheduling, and monitoring workflows. With the release of Airflow 2.x, organizations are empowered to orchestrate large-scale data pipelines, integrate seamlessly with cloud services, and maintain robust observability and security within their production environments.

This instructor-led live training, available both online and onsite, targets beginner to intermediate-level data and DevOps professionals eager to leverage Apache Airflow to build, automate, and scale comprehensive data pipelines.

Upon completing this training, participants will be capable of:

• Installing and configuring Apache Airflow across various environments.
• Creating, scheduling, and monitoring DAGs via the TaskFlow API.
• Integrating Airflow with diverse data sources, cloud services, and machine learning workflows.
• Managing ETL pipelines while ensuring data reliability.
• Enhancing Airflow's security and scalability using executors, queues, and Kubernetes.
• Implementing observability and adhering to best practices for production deployments.

Course Format

• Interactive lectures and group discussions.
• Numerous exercises and practical application.
• Real-time implementation within a live-lab environment.

Course Customization Options

• For personalized training tailored to your specific needs, please reach out to us to arrange a session.

This instructor-led, live training in Toluca (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.

This live, instructor-led training in Toluca (online or onsite) is designed for beginners seeking to learn the basics of workflow automation and simplify their daily tasks using Make.

Upon completing this training, participants will be able to:

• Build and manage workflows within Make.
• Connect different applications into cohesive workflows.
• Automate basic tasks such as data synchronization, notifications, and file management.
• Leverage pre-built templates and design custom workflows.
• Troubleshoot and debug workflows effectively.

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 Toluca (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 Toluca (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.

This instructor-led, live training in Toluca (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 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 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 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 Toluca, participants will learn how to develop an appropriate security strategy to address the challenges of DevOps security.

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.

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 Toluca (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 Toluca (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.

This instructor-led, live training in Toluca (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 management-oriented DevOps course delivers a thorough grasp of contemporary software delivery practices, integrating DevOps culture, processes, tools, and business strategy. Through a mix of presentations, demonstrations, hands-on labs, and workshops, participants examine the entire DevOps lifecycle, spanning version control, CI/CD pipelines, containers, infrastructure automation, security integration, and reliability engineering.

Going beyond technical concepts, the program emphasizes the managerial dimensions of adopting DevOps, such as organizational change, maturity assessment, performance measurement, and creating business value. Participants engage with real-world scenarios and their own projects to pinpoint improvement opportunities, evaluate current delivery practices, and develop practical action plans for implementing DevOps within their organizations.

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.