DevOps Training in Maia

AI-powered automation combines the flexibility of no-code platforms with the intelligence of large language models and autonomous agents to create scalable, intelligent systems.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to design, build, and optimize automation pipelines enhanced with AI decision-making, orchestration, and self-execution capabilities.

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

• Design no-code automation workflows enhanced by AI interpretation and responses.
• Use prompt chaining, webhook triggers, and APIs to build scalable logic flows.
• Create intelligent apps that connect services and interpret data autonomously.
• Understand, design, and deploy AI agents capable of goal-oriented action planning and execution.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Maia (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.

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

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.

Red Hat: DevOps Culture and Practice Enablement (TL500) is a hands-on course designed to help teams adopt DevOps principles and practices by working through a real-world, end-to-end project using open source tools and agile methodologies.

This instructor-led, live training (online or onsite) is aimed at intermediate-level IT professionals who wish to implement DevOps practices in a collaborative and practical setting while fostering a culture of continuous improvement.

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

• Apply DevOps principles across the software development lifecycle.
• Implement agile practices, CI/CD pipelines, and team collaboration techniques.
• Work with containerization, version control, and automation tools effectively.
• Foster a DevOps mindset and cultural shift within teams.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Maia (online or onsite) is aimed at advanced-level DevOps teams and IT architects who wish to leverage Kubiya AI to automate and optimize enterprise-level DevOps operations.

By the end 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 aimed at 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 Maia (online or onsite) is aimed at intermediate-level DevOps engineers and CI/CD managers who wish 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 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 aimed at beginner-level DevOps professionals and IT managers who wish to explore the capabilities of Kubiya AI and integrate it with their existing tools.

By the end 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 instructor-led, live training in Maia (online or onsite) is aimed at 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 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 in Maia (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 Maia (online or onsite) is aimed at DevOps engineers and developers who wish to use CodePipeline to automate release pipelines for efficient updating of applications and infrastructures.

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.

Audience:

Cloud engineers, Solution architects, Centre of excellence team, Window server administrators, Unix/Linux administrator, Storage administrators, network administrators, Virtualization administrators

Course Objectives:

This course is designed to teach you how to:

• Use the principal concepts and practices behind the DevOps methodology
• Design and implement an infrastructure on AWS that supports one or more DevOps development projects
• Use AWS CloudFormation and AWS OpsWorks to deploy the infrastructure necessary to create development, test, and production environments for a software development project
• Use AWS CodeCommit and understand the array of options for enabling a Continuous Integration environment on AWS
• Use AWS CodePipeline to design and implement a Continuous Integration and Delivery pipeline on AWS
• Implement several common Continuous Deployment use cases using AWS technologies, including blue/green deployment and A/B testing
• Distinguish between the array of application deployment technologies available on AWS (including AWS CodeDeploy, AWS Opsworks, AWS Elastic Beanstalk, Amazon EC2 Container Service, and Amazon EC2 Container Registry), and decide which technology best fits a given scenario
• Fine tune the applications you deliver on AWS for high performance and use AWS tools and technologies to monitor your application and environment for potential issues

Who is it for:

People involved in or implementing the DevOps process, including roles such as DevOps evangelist; automation architect; cloud infrastructure engineer; software developer; software tester; security engineer; database administrator and product owners. Read the syllabus below for a more complete list of roles.

What will I learn:

By the end of this training, participants will be able to demonstrate knowledge, understanding and some basic application of the following aspects of DevOps:

• Origins
• Benefits
• Culture and teams
• Automation
• Lean
• Measurement
• Sharing
• Common roles
• Practices and techniques
• Methods and approaches for teams

Format of the Course:

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

This 7-day programme provides a comprehensive, hands-on journey into designing, deploying, and operating cloud-native applications using modern DevOps practices.

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

A strong focus is placed on real-world operational challenges, including incident response, failure simulation, and root cause analysis. The programme concludes with the use of AI-powered tools to support troubleshooting and accelerate operational decision-making.

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

This training course introduces the core DevOps concepts and principles as well as the ways to stand up the DevOps practice in your organization. Upon completion of this training course, students will have fundamental understanding of DevOps’ value proposition; they will also gain practical experience working with select DevOps tools, including Puppet, Jenkins, and others. This training course is supplemented by hands-on labs that help attendees reinforce their theoretical knowledge of the learned material. TOPICS DevOps practices and tools Puppet Technical introduction to cloud computing Jenkins

This instructor-led, live training in Maia (online or onsite) is aimed at DevOps engineers who wish to automate code and code 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

This instructor-led, live training in Maia (online or onsite) is aimed at DevOps engineers, IT managers, or developers who wish to understand the fundamentals of DevOps, and then adopt the DevOps practices and tools into their organization.

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

• Understand and apply the principles and mindset behind DevOps.
• Design and implement transformation plans for adopting DevOps in their organization.
• Automate repetitive tests and processes for faster delivery and shorter turnaround time in the development life cycle.
• Integrate security operations and practices into the DevOps pipeline to eliminate vulnerabilities and data breaches.

In this instructor-led, live course in Maia, participants will learn how to formulate the proper security strategy to face the DevOps security challenge.

This course focuses on practical implementation and tooling. It assumes good knowledge on theoretical principals (see DEVOPS course) as it focuses on newest tools and methods of implementing DevOps principles.

This instructor-led, live training in Maia (online or onsite) is aimed at DevOps professionals who wish to have a better understanding of DevSecOps method theories and DevSecOps in general.

By the end of 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.

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 Maia (online or onsite) is aimed at DevOps engineers and developers who wish to use Java and Kubernetes (K8s) to create, build, test, debug and deploy high-performance and scalable applications.

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

• Set up the necessary development environment to build Java applications.
• Understand the features and architecture of Kubernetes.
• Learn about the key concepts and tools for DevOps.
• Get a refresher on Java programming fundamentals.
• Containerize Java microservices using Docker.
• Build, scale, and deploy Java applications on Kubernetes.

Kubernetes is an open-source platform for automating all development stages of containerized applications. Design patterns are iterable solutions to software development problems pertinent to software design. Kubernetes extensions are utilized for configuring and supporting Kubernetes clusters. With the help of Kubernetes design patterns and extensions, users of the platform can achieve CI/CD approaches while maintaining scalability and flexibility of software applications.

This instructor-led, live training (online or onsite) is aimed at developers and DevOps engineers who wish to leverage Kubernetes design patterns and extensions to create enterprise applications on Kubernetes clusters.

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

• Set up a Kubernetes cluster and configure the necessary DevOps tools.
• Understand the fundamentals of software design patterns and Kubernetes extensions.
• Utilize Kubernetes extensions and design patterns when interacting with Kubernetes API.
• Develop customized Kubernetes resources and apply dynamic controllers to a cluster.
• Manage and secure any Kubernetes environment with the help of Kubernetes plugins.
• Integrate DevOps networking models to existing and prospective Kubernetes projects.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

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

This instructor-led, live training in Maia (online or onsite) is aimed at engineers who wish to evaluate the approaches and tools available today to make an intelligent decision on the path forward in adopting MLOps within their organization.

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

• Install and configure various MLOps frameworks and tools.
• Assemble the right kind of team with the right skills for 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 needed to build one.
• Experiment with different machine learning frameworks and servers for deploying to production.
• Operationalize the entire Machine Learning process so that it's reproduceable and maintainable.

This instructor-led, live training in Maia (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.