Course Outline

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

Requirements

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

Audience

  • Cloud engineers
  • Operations managers
 14 Hours

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