Explore Our Courses

n8n for DevOps: Enhancing Continuous Integration and Deployment

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level to advanced-level DevOps engineers and IT operations staff who wish to leverage n8n for automating, monitoring, and optimizing CI/CD workflows. By the end of this training, participants will be able to:
  • Set up and configure n8n for DevOps automation.
  • Integrate n8n with CI/CD tools like Jenkins, GitLab, and GitHub Actions.
  • Automate build, test, and deployment workflows using n8n.
  • Monitor and troubleshoot CI/CD pipelines with n8n dashboards.
  • Enhance DevOps workflows with custom n8n nodes and scripts.
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n8n for IoT: Automating the Internet of Things

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level IoT developers and smart home enthusiasts who wish to automate IoT processes and create innovative solutions using n8n. By the end of this training, participants will be able to:
  • Set up and configure n8n for IoT workflow automation.
  • Integrate IoT devices and platforms using n8n nodes and connectors.
  • Implement custom workflows to automate IoT tasks and processes.
  • Use IoT protocols like MQTT and REST APIs within n8n workflows.
  • Monitor, troubleshoot, and optimize IoT automation workflows.
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Securing and Scaling n8n Workflows

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level IT administrators and DevOps engineers who wish to secure and scale n8n workflows for large-scale, enterprise environments. By the end of this training, participants will be able to:
  • Implement security measures to protect n8n workflows and sensitive data.
  • Configure access control and user management for n8n.
  • Optimize n8n performance and reliability for large-scale automation.
  • Identify and address common scaling challenges in n8n workflows.
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Automating Workflows with LangChain and APIs

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level business analysts and automation engineers who wish to understand how to use LangChain and APIs for automating repetitive tasks and workflows. By the end of this training, participants will be able to:
  • Understand the basics of API integration with LangChain.
  • Automate repetitive workflows using LangChain and Python.
  • Utilize LangChain to connect various APIs for efficient business processes.
  • Create and automate custom workflows using APIs and LangChain’s automation capabilities.
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Custom Node Development in n8n

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level developers and technical consultants who wish to create tailored automation solutions and expand n8n’s functionality to address specific organizational 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 handle specific business use cases.
  • Test and debug custom nodes in a controlled environment.
  • Deploy and maintain custom nodes for production use.
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Advanced Workflow Automation in n8n

 21 Hours
This instructor-led, live training in the US (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.
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n8n for Data Integration

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level data professionals who wish to use n8n for integrating data from different sources, transforming it, and automating workflows for reporting and analytics. By the end of this training, participants will be able to:
  • Understand data integration concepts and n8n’s role in supporting ETL processes.
  • Connect various data sources, such as databases, cloud storage, and APIs, using n8n.
  • Transform and clean data for analytical purposes.
  • Automate ETL workflows to support data reporting needs across systems.
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Mastering Apache Airflow for DevOps

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at advanced-level participants who wish to deploy Apache Airflow in cloud environments, set up CI/CD pipelines, and implement robust monitoring and logging practices. By the end 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.
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n8n for Marketing Automation

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level to intermediate-level marketing professionals who wish to automate and integrate marketing workflows using n8n. By the end of this training, participants will be able to:
  • Understand the fundamentals of n8n and its capabilities for marketing automation.
  • Create workflows that connect social media platforms, email marketing software, and CRMs.
  • Build automated processes for campaign tracking, engagement monitoring, and customer segmentation.
  • Apply automation techniques to save time and improve marketing outcomes.
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Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at 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.
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AI Automation with n8n and LangChain

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at 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.
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Advanced Apache Airflow: Custom Operators and Plugins

 21 Hours
This instructor-led, live training in the US (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.
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Building AI Workflows in n8n

 14 Hours
This instructor-led, live training in the US (online or onsite) is aimed at intermediate-level to advanced-level developers and AI hobbyists 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.
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Intermediate Apache Airflow: Optimizing and Scaling Workflows

 21 Hours
This instructor-led, live training in the US (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.
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n8n for Beginners

 7 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level business professionals and IT enthusiasts who wish to learn the basics of n8n for automating tasks and processes. By the end of this training, participants will be able to:
  • Understand the fundamentals of n8n and its node-based interface.
  • Set up and configure n8n.
  • Create simple workflows to automate tasks.
  • Connect different services and applications using n8n.
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Apache Airflow

 21 Hours
This instructor-led, live training in the US (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to use Apache Airflow to build and manage end-to-end data pipelines. By the end of this training, participants will be able to:
  • Install and configure Apache Airflow.
  • Author, schedule and monitor complex data pipelines
  • Manage many ETLs (Extract, extract, Transform, Load).
  • Scale and secure Apache Airflow.
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Testimonials(1)

la facilidad de manejo de las maquinas virtuales .... muy bien

Luis Amigo Peñaloza - Banco de Crédito e Inversiones

Course - Apache Airflow

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