HI, Honolulu - Waterfront

7 Waterfront Plaza, 500 Ala Moana Blvd. Suite 400, Honolulu, United States, 96813

Honolulu business center is located at 7 Waterfront Plaza in the commercial district of Kakako. It sits in the midst of the Waterfront Plaza, a busy cluster of business, retail and restaurant properties. The center is in between Waikiki and downtown Honolulu. Tenants are situated close to the islands largest business areas without all of the traffic. This center is only a few miles from Honolulu International Airport.

HI, Kapolei - Waterfront

7 Waterfront Plaza, Suite 400,, 500 Ala Moana Blvd., Honolulu, United States, 96813

Waterfront Plaza is located along the vibrant Ala Moana Boulevard corridor linking Waikiki, Honolulu's Central Business District, and Honolulu International Airport. It offers convenient access to bus lines and public transportation.

Subcategories (5)

CI/CD (Continuous Integration / Continuous Delivery)

CI/CD (Continuous Integration / Continuous Delivery)
Workflow Automation

Workflow Automation
IT Operations Analytics (ITOA)

IT Operations Analytics (ITOA)
OpsGenie

OpsGenie
DevOps Certification

DevOps Certification

Explore Our Courses

Make: Automating Remote Work

 14 Hours
This instructor-led, live training in Hawaii (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.
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n8n for DevOps: Enhancing Continuous Integration and Deployment

 21 Hours
This instructor-led, live training in Hawaii (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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Smart Workflow Automation: AI & Machine Learning with Make

 14 Hours
This instructor-led, live training in Hawaii (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.
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n8n for IoT: Automating the Internet of Things

 21 Hours
This instructor-led, live training in Hawaii (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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API Integrations with Make: Advanced Automation

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at advanced-level developers, system integrators, and technical operations teams who wish 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.
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DevOps and Platform Engineering: A Collaborative Approach

 14 Hours
This instructor-led, live training in Hawaii (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.
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Securing and Scaling n8n Workflows

 14 Hours
This instructor-led, live training in Hawaii (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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Custom Node Development in n8n

 14 Hours
This instructor-led, live training in Hawaii (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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Make for DevOps

 14 Hours
This instructor-led, live training in Hawaii (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.
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Advanced Workflow Automation in n8n

 21 Hours
This instructor-led, live training in Hawaii (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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Deploying Fine-Tuned Models in Production

 21 Hours
This instructor-led, live training in Hawaii (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.
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Make for App Integration: Automating Business Workflows

 14 Hours
This instructor-led, live training in Hawaii (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.
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Zapier and AI for Business Automation

 21 Hours
This instructor-led, live training in Hawaii (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.
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Mastering Apache Airflow for DevOps

 21 Hours
This instructor-led, live training in Hawaii (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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Customizing Kubiya AI for Enterprise DevOps

 14 Hours
This instructor-led, live training in Hawaii (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.
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Make for Data Integration

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level data professionals who wish to use 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.
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n8n for Data Integration

 21 Hours
This instructor-led, live training in Hawaii (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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Zapier for E-Commerce Automation

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level e-commerce professionals who wish 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.
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Apache Airflow for Data Science: Automating Machine Learning Pipelines

 21 Hours
This instructor-led, live training in Hawaii (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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Make for eCommerce: Automating Sales and Inventory Management

 14 Hours
This instructor-led, live training in Hawaii (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.
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n8n for Marketing Automation

 14 Hours
This instructor-led, live training in Hawaii (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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Zapier for Marketing Automation

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level marketers who wish to automate lead generation, email campaigns, and customer follow-ups using Zapier. By the end of this training, participants will be able to:
  • Understand Zapier’s role in marketing automation.
  • Set up 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.
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Advanced Apache Airflow: Custom Operators and Plugins

 21 Hours
This instructor-led, live training in Hawaii (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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Advanced Zapier: Custom Integrations and Multi-Step Automations

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at advanced-level developers, automation specialists, and IT professionals who wish 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.
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AI Automation with n8n and LangChain

 14 Hours
This instructor-led, live training in Hawaii (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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Integrating Kubiya AI with DevOps Pipelines

 14 Hours
This instructor-led, live training in Hawaii (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.
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Make for Marketing Automation

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level marketing professionals who wish to automate repetitive tasks, nurture leads effectively, and optimize customer engagement through workflow automation. By the end 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.
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Advanced Kubiya AI for DevOps Automation

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

 14 Hours
This instructor-led, live training in Hawaii (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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Building Efficient Workflows with Zapier

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at intermediate-level professionals who wish to create and optimize automated workflows using Zapier for business operations. By the end of this training, participants will be able to:
  • Design and implement efficient Zapier workflows.
  • Integrate multiple business apps for seamless automation.
  • Optimize Zap performance and troubleshoot common issues.
  • Scale workflow automation to meet business needs.
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Mastering Make: Advanced Workflow Automation and Optimization

 14 Hours
This instructor-led, live training in Hawaii (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.
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Automated Monitoring with Zabbix

 14 Hours
This instructor-led, live training in Hawaii (online or onsite) covers the installation, planning and configuration of Zabbix, and focuses on practical implementation and tooling. By the end of this training, participants will be able to:
  • Install and configure Zabbix for monitoring IT infrastructure.
  • Set up and manage hosts, items, triggers, and actions within Zabbix.
  • Utilize Zabbix's features for data collection, alerting, and reporting.
  • Integrate Zabbix with other tools and platforms for enhanced monitoring and automation.
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Introduction to Kubiya AI for DevOps

 14 Hours
This instructor-led, live training in Hawaii (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.
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Make Fundamentals: Introduction to Workflow Automation

 7 Hours
This instructor-led, live training in Hawaii (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.
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n8n for Beginners

 7 Hours
This instructor-led, live training in Hawaii (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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Zapier for Beginners: Automate Workflows Without Coding

 7 Hours
This instructor-led, live training in Hawaii (online or onsite) is aimed at 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.
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Ansible AWX Fundamentals for DevOps Automation

 21 Hours
This instructor-led, live training in Hawaii (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.
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Ansible for Experts

 35 Hours
This instructor-led, live training in Hawaii (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.
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Ansible and Puppet for Large Infrastructures

 14 Hours
This instructor-led, live training in Hawaii (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.
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Amazon Web Services (AWS) CodePipeline

 7 Hours
This instructor-led, live training in Hawaii (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.
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AWS DevOps Engineers

 21 Hours
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
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Fundamentals of DevOps

 21 Hours
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
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DevOps with Atlassian Bamboo

 14 Hours
This instructor-led, live training in Hawaii (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.
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DevOps Fundamentals

 21 Hours
This instructor-led, live training in Hawaii (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.
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DevOps Security: Creating a DevOps Security Strategy

 7 Hours
In this instructor-led, live course in Hawaii, participants will learn how to formulate the proper security strategy to face the DevOps security challenge.
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DevOps Practical Implementation and Tools

 21 Hours
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.
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DevSecOps

 14 Hours
This instructor-led, live training in Hawaii (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.
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Java and Kubernetes for DevOps Engineers

 21 Hours
This instructor-led, live training Hawaii (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.
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Kubernetes Design Patterns and Extensions

 14 Hours
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.
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MLOps: CI/CD for Machine Learning

 35 Hours
This instructor-led, live training in Hawaii (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.
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Advanced Automation with Red Hat Ansible

 35 Hours
This instructor-led, live training in Hawaii (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.
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Testimonials (16)

There were many practical exercises supervised and assisted by the trainer

Aleksandra - Fundacja PTA

Course - Mastering Make: Advanced Workflow Automation and Optimization

The break down of what DevOps can do. Possible Automation Integration.

Adeyinka Adekoya - NTPF

Course - Continuous Testing Foundation (CTF)®

Lab exercise

Tse Kiat - ST Engineering Training & Simulation Systems Pte. Ltd.

Course - Automated Monitoring with Zabbix

Trainer has in depth experince and well narreated in deed. The depth of the knowledge and the passion for teaching is highly appriciated.

Anup Kumar - SMR Automotive Mirrors Stuttgart

Course - Jenkins 2: Building CI/CD Pipelines

working with DevOps Toolchain

Kesh - Vodacom

Course - DevOps Foundation®

Trainer is very knowledgeable on the subject and able to provide real world examples through his experience.

Nouf

Course - Agile Software Testing with Continuous Integration

new information

Michael Durisin - Deutsche Telekom IT & Telecommunications Slovakia s.r.o

Course - Site Reliability Engineering (SRE) Foundation®

Trainer's vast experience and knowledge on the subject

DENNIS - Tanzania Revenue Authority

Course - DevOps Fundamentals

It really spoke to what we already have in our department

Letlotlo Miffi

Course - Ansible for Experts

The ease of managing virtual machines .... very well

Luis Amigo Penaloza - Banco de Credito e Inversiones

Course - Apache Airflow

Machine Translated

The trainer was very well organized. He explained about all the tools required for the training in the beginning. The trainer happily clarified all the doubts and practical use cases were discussed.

Vivek Verma - Global Knowledge Network Training Ltd

Course - DevOps Practical Implementation and Tools

The trainer knew exactly what they were speaking about.

Madumetsa Msomi - BMW

Course - AWS DevOps Engineers

Very detailed, trainer knows the subject very well and has covered a lot of topics

Gabriel Kelly Navarro - Opswerks

Course - Advanced Spinnaker

Everything. It was very understandable, and if we didn't understand something, Adriano explained it.

Zsolt Nagy - W.UP Kft

Course - OpenShift Container Platform for Developers

Luke was very knowledgeable, patient, and very open to satisfy my curiosity, for example I asked him to generate errors to see how system will response, etc. He would go above and beyond to answer questions or demonstrate the functionalities, even some of my questions were out of the class scope. He gave me a real experience with the system. I definitely will take another class with him and recommend him as a teacher for others. Thank you Luke!.

Tina Henderson

Course - Test Automation with Selenium and Jenkins

All of it. Having had no previous exposure to Jenkins, I was a little concerned about my ability to keep up. IPad provided appropriate coaching/support, when I asked for help, so that I was able to follow the presentation at a level I was happy with.

Graham Congdon

Course - Jenkins: Continuous integration for Agile development

Upcoming Courses

AWS DevOps Engineers

2025-05-28 9:30 am
21 hours
HI, Kapolei - Waterfront
$ 4778 (Online)
$ 6278 (Classroom)

Zapier and AI for Business Automation

2025-06-11 9:30 am
21 hours
HI, Honolulu - Waterfront
$ 4054 (Online)
$ 4954 (Classroom)

Customizing Kubiya AI for Enterprise DevOps

2025-06-25 9:30 am
14 hours
HI, Kapolei - Waterfront
$ 2703 (Online)
$ 3703 (Classroom)

n8n for Data Integration

2025-07-09 9:30 am
21 hours
HI, Honolulu - Waterfront
$ 4054 (Online)
$ 4954 (Classroom)

Apache Airflow for Data Science: Automating Machine Learning Pipelines

2025-07-23 9:30 am
21 hours
HI, Kapolei - Waterfront
$ 4054 (Online)
$ 5554 (Classroom)

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