DevOps Training in Maia

This instructor-led, live training in Maia (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 Maia (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.

Delivered as an instructor-led, live training session in Maia (online or onsite), this programme is designed for advanced developers and technical consultants aiming to craft tailored automation solutions and extend n8n’s capabilities to meet specific organisational requirements.

Upon completion, participants will be capable of:

• Configuring a development environment for building custom nodes within n8n.
• Creating custom nodes to address distinct business use cases.
• Testing and debugging custom nodes within a controlled setting.
• Deploying and maintaining custom nodes for production environments.

This instructor-led, live training in Maia (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 Maia (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 Maia (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 Maia (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 Maia (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 Maia (online or onsite) is aimed at intermediate-level eCommerce professionals who wish 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 Maia (online or onsite) is designed for intermediate-level marketers aiming to automate lead generation, email campaigns, and customer follow-ups using Zapier.

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

• Grasp the role of Zapier in marketing automation.
• Configure workflows to automate lead generation and nurturing.
• Integrate marketing tools such as CRMs, email platforms, and analytics tools.
• Optimize and troubleshoot automation workflows for maximum efficiency.

This instructor-led, live training in Maia (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 Maia (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 Maia (online or onsite) is designed for intermediate-level professionals seeking to create and refine automated workflows using Zapier to support business operations.

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

• Designing and implementing efficient Zapier workflows.
• Integrating multiple business applications for seamless automation.
• Optimizing Zap performance and resolving common issues.
• Scaling workflow automation to align with business requirements.

Apache Airflow is an open-source platform designed for authoring, scheduling, and monitoring workflows. With the release of Airflow 2.x, organizations can orchestrate large-scale data pipelines, integrate seamlessly with cloud services, and ensure robust observability and security within production environments.

This instructor-led live training, available online or onsite, is tailored for beginner to intermediate data and DevOps professionals aiming to leverage Apache Airflow to build, automate, and scale end-to-end data pipelines.

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

• Installing and configuring Apache Airflow across various environments.
• Authoring, scheduling, and monitoring DAGs using the TaskFlow API.
• Integrating Airflow with data sources, cloud services, and machine learning workflows.
• Managing ETL pipelines while ensuring data reliability.
• Securing and scaling Airflow through the use of executors, queues, and Kubernetes.
• Implementing observability and adhering to best practices for production deployments.

Course Format

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

Course Customization Options

• To request a customized training session for this course, please contact us to make arrangements.

This instructor-led, live training in Maia (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.

The SRE Practitioner Certification Preparation programme is a thorough training initiative designed to cover advanced Site Reliability Engineering practices, fully aligned with the official DevOps Institute syllabus, ensuring participants are well-prepared for certification success.

This instructor-led, live training (available online or onsite) is tailored for experienced DevOps and SRE professionals who aim to master advanced SRE practices and prepare for the DevOps Institute SRE Practitioner certification exam.

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

• Identify and address common SRE anti-patterns.
• Define and manage SLIs, SLOs, and error budgets effectively.
• Design systems that are secure, fault-tolerant, and highly reliable.
• Implement advanced strategies for observability, automation, and incident response.

Course Format

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

Customisation Options

• To arrange a customised training session for this course, please contact us.

This instructor-led, live training in Maia (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:

• 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 course offers training on managing testing projects using the Selenium test suite and implementing continuous testing with Jenkins.

Target Audience:

• Software test engineers
• Software developers engaged in agile development
• Release managers
• QA engineers

Upon completion of the Selenium training, participants will be able to:

• Effectively utilize the Selenium test suite in real-world projects
• Perform cross-browser testing with Selenium
• Distribute tests using Selenium Grid
• Execute regression tests with Selenium in Jenkins
• Generate test reports and periodic reports using Jenkins

This instructor-led, live training in Maia (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 Maia (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 Maia (online or onsite) is designed for developers or DevOps engineers who aim to construct automation pipelines utilising CI/CD practices with Python.

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

• Configuring the requisite development environment to initiate the construction of CI/CD pipelines with Python.
• Constructing automated pipelines for testing and publishing Python packages using Travis-CI.
• Automating the deployment of containerised applications employing Docker and Heroku.

This intensive 7-day programme offers a comprehensive, hands-on exploration into the design, deployment, and operation of cloud-native applications through modern DevOps methodologies.

Participants will learn to architect scalable microservice systems, optimise containerised environments, and manage production workloads using Kubernetes. The curriculum encompasses advanced deployment techniques, GitOps-driven automation, and observability frameworks to guarantee system reliability and high performance.

Significant emphasis is placed on addressing real-world operational hurdles, such as incident management, failure simulation, and root cause analysis. The programme concludes with the integration of AI-powered tools designed to aid in troubleshooting and expedite operational decision-making processes.

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

In this instructor-led, live course in Maia, 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 Maia (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 Maia (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 instructor-led, live training in Maia (online or onsite) is aimed at DevOps engineers, SREs, and platform teams who wish to replace manual orchestration and brittle glue scripts with automated, node-driven n8n workflows for CI/CD pipelines, infrastructure management, and incident response.

Learn how to develop, deploy, and manage containerized applications with OpenShift, one of the leading Kubernetes-based platforms for cloud-native development. This practical training covers application deployment, containers, networking, CI/CD, and DevOps workflows, providing participants with the skills to build and maintain modern applications in production environments.

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 capstone course guides participants in designing, deploying, and managing a complete sovereign digital infrastructure stack from the ground up. Upon completion, students will have established a functioning mini-organization utilising solely self-hosted, open-source tools for identity, communication, productivity, development, security, AI, and monitoring—entirely independent of Google, Microsoft, AWS, or proprietary SaaS solutions.