Kubiya AI for Cloud Ops Training is a focused two-day program designed to help cloud and platform teams use Kubiya AI to simplify, automate, and govern cloud operations through conversational AI. This course demonstrates how Kubiya AI enables teams to interact with cloud infrastructure, services, and operational tools using natural language, improving operational efficiency, reducing manual effort, and enabling secure self-service cloud operations.

• Understand Kubiya AI for Cloud Operations
• Learn AI-driven cloud management concepts
• Understand cloud automation workflows
• Gain knowledge of operational monitoring basics
• Learn incident response automation
• Understand cloud infrastructure optimization
• Explore AI-assisted cloud operations
• Identify cloud AI use cases

• Cloud engineers and cloud operations teams
• Platform and infrastructure engineers
• DevOps and SRE professionals
• IT operations teams managing cloud environments
• Engineering managers overseeing cloud operations

• Basic understanding of cloud computing concepts
• Familiarity with cloud platforms and services
• Experience with cloud operations or infrastructure workflows
• No prior experience with Kubiya AI is required

• Understanding Kubiya AI capabilities for cloud operations
• Using conversational AI to manage cloud infrastructure
• Automating routine cloud operational workflows
• Implementing secure and governed cloud access
• Improving cloud reliability and operational efficiency using AI

By the end of this training, participants will be able to use Kubiya AI to manage and automate cloud operations through conversational workflows, apply governance and security controls effectively, and improve the reliability, efficiency, and scalability of cloud operations.

Introduction to Kubiya AI for Cloud Operations
• Overview of Kubiya AI and cloud operations use cases
• Conversational AI for managing cloud infrastructure
• Benefits of AI-assisted cloud operations
• Common cloud operational challenges addressed by Kubiya

Kubiya AI Architecture and Cloud Integrations
• How Kubiya AI connects to cloud platforms
• Agents, skills, and execution model
• Permissions, approvals, and guardrails
• Auditability and operational transparency

Managing Cloud Resources Using Kubiya AI
• Querying cloud infrastructure and service status
• Executing cloud management commands via chat
• Environment monitoring and health checks
• Standardizing cloud operational tasks

Automation and Self-Service Cloud Operations
• Automating repetitive cloud workflows
• Enabling secure self-service for engineering teams
• Handling common cloud operational scenarios
• Reducing operational bottlenecks with AI

Security, Governance, and Cost Control
• Role-based access and policy enforcement
• Preventing misconfigurations and misuse
• Cost visibility and optimization support
• Compliance and audit considerations

Real-World Cloud Ops Use Cases and Best Practices
• Incident response and troubleshooting
• Cloud hygiene and operational consistency
• Scaling Kubiya AI adoption across teams
• Best practices for long-term success

• Kubiya AI platform overview
• Cloud operations fundamentals
• Cloud automation workflows
• Infrastructure monitoring concepts
• Incident management basics
• Cloud optimization techniques
• AI-assisted operational workflows
• Security and access control basics
• Enterprise cloud use cases
• Practical Cloud Ops scenarios

• Hands-on Kubiya AI cloud operations exercises
• Cloud automation workflow assessment
• Security and governance scenario evaluation
• Final knowledge evaluation quiz

Participants will receive course materials, slides, reference materials, exercises and access to resources for further learning.

Participants who successfully complete the training will receive an AcadNXT Certification in Kubiya AI for Cloud Ops Training, validating their expertise in using Kubiya AI to automate, govern, and optimize cloud operations through conversational AI.