Kubiya AI for Cloud Operations

• Experience with cloud platforms (AWS, Azure, or Google Cloud)
• Basic knowledge of DevOps practices
• Familiarity with automation tools

Audience

• Cloud engineers
• Operations managers

Kubiya AI is an advanced platform that helps automate and optimize cloud operations using AI. This course provides participants with the knowledge and skills to integrate Kubiya AI into their cloud environments, enabling efficient resource management, cost optimization, and security enhancements.

This instructor-led, live training (online or onsite) is aimed at intermediate-level cloud engineers and operations managers who wish to improve their cloud infrastructure management using Kubiya AI.

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

• Integrate Kubiya AI into cloud infrastructure.
• Automate cloud resource provisioning and management.
• Optimize cloud costs using AI-powered analytics.
• Enhance cloud security with AI-driven monitoring.

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.

Introduction to Kubiya AI

• Overview of Kubiya AI and its capabilities
• AI-powered automation in cloud environments
• Key features of Kubiya AI for cloud management

Cloud Resource Automation

• Automating resource provisioning with Kubiya AI
• Managing cloud environments through AI-driven processes
• Integrating with popular cloud services (AWS, Azure, Google Cloud)

Optimizing Cloud Costs with AI

• AI-based cost optimization techniques
• Real-time monitoring of cloud usage and expenses
• AI recommendations for reducing cloud costs

Security Enhancements Using Kubiya AI

• AI-driven security monitoring and threat detection
• Automated responses to security incidents
• Implementing compliance checks with AI

Hands-On with Kubiya AI

• Setting up Kubiya AI for cloud operations
• Practical labs: Automating cloud resource management
• Practical labs: Implementing cost optimization techniques

Challenges and Future Trends

• Scalability and performance challenges in cloud AI automation
• Emerging trends in AI for cloud operations
• Future of AI-powered cloud management

Advanced Kubiya AI Concepts

• Exploring advanced AI features for cloud automation
• Implementing advanced security and cost-saving techniques
• Customizing Kubiya AI for specific cloud environments

Summary and Next Steps