This course focuses on integrating Kubiya AI with cloud platforms, CI/CD pipelines, monitoring systems, and infrastructure tools to enable secure self-service DevOps, faster incident response, and governed automation across engineering organizations.
Overview
Kubiya AI for DevOps Automation Training is an advanced three-day program designed to help DevOps and platform teams use Kubiya AI to automate, standardize, and scale operational workflows through conversational AI. This course focuses on integrating Kubiya AI with cloud platforms, CI/CD pipelines, monitoring systems, and infrastructure tools to enable secure self-service DevOps, faster incident response, and governed automation across engineering organizations.
Learning Outcomes
• Understand Kubiya AI for DevOps automation
• Learn AI-driven infrastructure management
• Understand automated operational workflows
• Gain knowledge of incident response automation
• Learn CI/CD automation concepts
• Understand AI-assisted monitoring workflows
• Explore cloud and DevOps integrations
• Identify enterprise DevOps AI use cases
Duration & Delivery Mode
23 hours
Target Audience
• DevOps engineers and site reliability engineers
• Platform and cloud engineering teams
• IT operations and infrastructure professionals
• Engineering managers and technical leads
• Organizations adopting AI-driven DevOps automation
Pre-requisites
• DevOps engineers and site reliability engineers
• Platform and cloud engineering teams
• IT operations and infrastructure professionals
• Engineering managers and technical leads
• Organizations adopting AI-driven DevOps automation
Skillset Achieved
• Understanding Kubiya AI architecture and automation capabilities
• Building conversational automation for DevOps workflows
• Integrating Kubiya AI with cloud, CI/CD, and monitoring tools
• Implementing secure, governed, and auditable automation
• Scaling AI-assisted DevOps across teams and environments
Course Outcome
By the end of this training, participants will be able to design and deploy Kubiya AI–powered DevOps automation, integrate conversational AI with core DevOps tooling, enforce security and governance controls, and scale AI-assisted operations to improve reliability, efficiency, and team productivity.
Course Outline
Introduction to Kubiya AI for DevOps Automation
• Overview of Kubiya AI and its role in modern DevOps
• Conversational AI for infrastructure and operations
• Use cases for self-service DevOps automation
• Benefits and limitations of AI-driven operations
Kubiya AI Architecture and Core Components
• Agents, skills, and integrations overview
• Secure command execution and guardrails
• Role-based access control and approvals
• Audit logs and operational transparency
Automating Core DevOps Tasks with Kubiya AI
• Infrastructure queries and command execution
• Environment management and configuration checks
• Routine operational workflows automation
• Collaboration and shared operational knowledge
Integrating Kubiya AI with Cloud and CI/CD Platforms
• Cloud platform integrations and use cases
• CI/CD pipeline interaction and automation
• Deployment monitoring and rollback support
• Supporting release and change management workflows
Incident Response and Operational Intelligence
• Using Kubiya AI during incidents and outages
• Log analysis and system health queries
• Reducing mean time to detect and recover
• Coordinating incident workflows using AI
Custom Skills and Workflow Design
• Designing custom Kubiya AI skills
• Automating complex multi-step workflows
• Validation, error handling, and approvals
• Best practices for maintainable automation
Security, Governance, and Compliance
• Securing AI-driven operational access
• Preventing misuse and enforcing policies
• Compliance, auditing, and traceability
• Managing risk in automated DevOps environments
Scaling Kubiya AI Across Teams and Organizations
• Standardizing DevOps automation practices
• Enabling self-service for developers safely
• Managing environments and permissions at scale
• Measuring adoption and operational impact
Advanced Use Cases and Future Trends
• AIOps and predictive operations integration
• Autonomous and semi-autonomous DevOps workflows
• Human-in-the-loop operational models
• Future roadmap of conversational DevOps automation
Assessment Topics
• Kubiya AI platform fundamentals
• DevOps automation concepts
• Infrastructure management workflows
• Incident response automation
• CI/CD pipeline basics
• AI-assisted monitoring concepts
• Cloud and system integrations
• Security and access management
• Enterprise DevOps use cases
• Practical DevOps automation scenarios
Evaluation
• Hands-on Kubiya AI automation exercises
• DevOps workflow design and integration assessment
• Security and governance scenario evaluation
• Final knowledge evaluation quiz
Course Materials
Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.
Certification
Participants who successfully complete the training will receive an AcadNXT Certification in Kubiya AI for DevOps Automation, validating their expertise in designing, integrating, and governing AI-driven DevOps automation using Kubiya AI.
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What Our Students Say
This course demonstrated how Kubiya AI can safely automate complex DevOps workflows at scale.
The integration and custom skills modules were extremely valuable for real-world DevOps environments.
A well-structured program that balances automation power with strong governance practices.
The incident response and self-service DevOps use cases were immediately applicable.
An excellent deep dive into conversational AI for modern DevOps automation.