DevOps Training in Almada

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

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

• Grasp how Make’s API works and extend its functionality.
• Utilise APIs to integrate third-party applications.
• Develop custom connectors for applications not natively supported.
• Apply advanced automation techniques using Make and APIs.

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

Upon completing this training, participants will be able to:

• Grasp the fundamental principles and advantages of DevOps and Platform Engineering.
• Implement Infrastructure as Code (IaC) and automate the provisioning of IT infrastructure.
• Construct and maintain Continuous Integration and Continuous Delivery (CI/CD) pipelines.
• Deploy and manage microservices using containerization tools such as Docker and Kubernetes.
• Embed security practices into the software development lifecycle through DevSecOps.
• Apply observability techniques to monitor and enhance system reliability.

This instructor-led, live training in Almada (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 Almada (online or onsite) is designed for advanced-level developers and data engineers who aim to master sophisticated 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 Almada (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 Almada (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 Almada (online or onsite) is aimed at advanced-level business professionals and automation engineers who wish to leverage Zapier and AI integrations to scale 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 Almada (online or onsite) targets advanced-level DevOps teams and IT architects who wish to utilise Kubiya AI to automate and optimise enterprise-level DevOps operations.

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

• Customize Kubiya AI for specific enterprise DevOps environments.
• Integrate Kubiya AI with CI/CD tools used in enterprise DevOps.
• Enhance DevOps automation with AI-driven workflows.
• Ensure security and compliance within AI-driven DevOps processes.

This instructor-led, live training in Almada (online or onsite) is designed for intermediate-level data professionals who wish to utilize Make to build automated data pipelines and streamline 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 Almada (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.

This instructor-led live training in Almada (online or onsite) is designed for intermediate-level participants who wish to automate and manage machine learning workflows, including model training, validation, and deployment using Apache Airflow.

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

• Configuring Apache Airflow to orchestrate machine learning workflows.
• Automating tasks related to data preprocessing, model training, and validation.
• Integrating Airflow with various machine learning frameworks and tools.
• Deploying machine learning models through automated pipelines.
• Monitoring and optimising machine learning workflows in production environments.

This instructor-led, live training in Almada (online or onsite) is designed for intermediate DevOps professionals seeking to integrate security into their practices, with a focus on automating security checks and processes within a CI/CD pipeline.

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

• Understanding the core principles of integrating security into the DevOps workflow.
• Automating security checks using Jenkins and integrating tools such as SonarQube for code analysis and vulnerability scanning.
• Deploying secure applications using Kubernetes.
• Ensuring secure communication between microservices via RabbitMQ, PostgreSQL, and MongoDB.
• Establishing continuous monitoring and auditing to guarantee compliance and security across all deployments.

This instructor-led, live training in Almada (online or onsite) targets advanced-level participants seeking to develop custom operators, sensors, and plugins within Apache Airflow, and to integrate these components with existing data systems for sophisticated automation and monitoring.

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

• Developing custom operators, hooks, and sensors tailored to specific workflows.
• Designing and implementing Airflow plugins to extend platform functionality.
• Integrating Airflow workflows with external systems and services.
• Optimizing and monitoring workflows using advanced debugging tools.
• Applying best practices for managing large-scale Airflow deployments.

This instructor-led, live training in Almada (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.

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

By the conclusion 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 Almada (online or onsite) is aimed at 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 Almada (online or onsite) is designed for beginner-level professionals who wish to integrate Claude AI into their daily workflows to improve efficiency and automation.

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

• Use Claude AI for automating repetitive tasks and streamlining workflows.
• Enhance personal and team productivity using AI-powered automation.
• Integrate Claude AI with existing business tools and platforms.
• Optimize AI-driven decision-making and task management.

This instructor-led, live training in Almada (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 Almada (online or onsite) is tailored for DevOps practitioners and IT managers at the beginner level who wish to investigate the capabilities of Kubiya AI and incorporate it into their existing toolsets.

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

• Comprehend the features and advantages of Kubiya AI.
• Deploy and configure Kubiya AI within their operational environment.
• Execute fundamental use cases for Kubiya AI within DevOps contexts.
• Connect Kubiya AI with current DevOps infrastructure.

This instructor-led, live training in Almada (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.

This instructor-led, live training in Almada (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 Almada (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 intensive 7-day programme offers a thorough, practical exploration of designing, deploying, and managing cloud-native applications through contemporary DevOps methodologies.

Attendees will investigate techniques for architecting scalable microservices infrastructures, refining container environments, and handling production workloads via Kubernetes. The curriculum encompasses sophisticated deployment tactics, GitOps-driven automation, and observability strategies to guarantee system dependability and efficiency.

Significant emphasis is placed on addressing practical operational difficulties, such as incident handling, failure simulation, and root cause analysis. The programme finishes by integrating AI-powered tools to facilitate troubleshooting and expedite operational decision-making.

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

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

This premier, state-of-the-art, practical workshop places participants directly into the critical realities of securing modern CI/CD pipelines. Tailored for security specialists, DevOps engineers, and developers keen to master advanced breach defense, the training combines live attack simulations with industry-leading tools and practical defensive strategies.

This instructor-led, live training in Almada (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 in Almada (online or onsite) is designed for engineers looking to evaluate current approaches and tools. The course helps participants make informed decisions about adopting MLOps within their organizations.

Upon completion, 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 consumption by ML models.
• Understand the components of an ML Pipeline and the necessary tools to construct one.
• Experiment with different machine learning frameworks and servers for production deployment.
• Operationalize the entire Machine Learning lifecycle to ensure it is reproducible and maintainable.

This management-oriented DevOps course offers 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, ranging from version control and CI/CD pipelines to containers, infrastructure automation, security integration, and reliability engineering.

Moving beyond mere technical concepts, the programme emphasizes the managerial dimensions of DevOps adoption, such as organizational 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 actionable plans for implementing DevOps within their organizations.

This instructor-led, live training in Almada (online or onsite) is aimed at DevOps engineers and developers who wish to use SonarQube to run code reviews that are fully-integrated into development tool chains, such as Jenkins, GitHub, Azure DevOps, etc.

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

• Set up the necessary development environment to start running automatic code reviews.
• Integrate SonarQube with continuous integration tools, such as Jenkins, Azure DevOps, etc.
• Run continuous code inspections to eliminate bugs and security vulnerabilities.
• Collect and analyze data to drive improvements for code cleanup, maintenance, and security.

This capstone course teaches participants to design, deploy, and operate a complete sovereign digital infrastructure stack from the ground up. By the end of the course, students will have built a functioning mini-organization using only self-hosted, open-source tools: identity, communication, productivity, development, security, AI, and monitoring - all without reliance on Google, Microsoft, AWS, or proprietary SaaS.