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 Duration 14 hours

Course Outline

Getting to Know Kubiya AI

  • An introduction to Kubiya AI and its core capabilities
  • The role of AI-powered automation within cloud environments
  • Primary features of Kubiya AI for cloud management

Automating Cloud Resources

  • Streamlining resource provisioning via Kubiya AI
  • Managing cloud environments using AI-assisted processes
  • Connecting with leading cloud services (AWS, Azure, Google Cloud)

AI-Driven Cloud Cost Optimization

  • Techniques for cost optimization based on artificial intelligence
  • Continuous monitoring of cloud usage patterns and spending
  • AI-generated recommendations for lowering cloud expenses

Enhancing Security with Kubiya AI

  • Intelligent security monitoring and threat identification
  • Automated reactions to security breaches
  • Enforcing compliance standards through AI

Practical Application of Kubiya AI

  • Configuring Kubiya AI for cloud operational tasks
  • Lab exercises: Automating cloud resource management
  • Lab exercises: Applying cost optimization strategies

Current Challenges and Future Directions

  • Addressing scalability and performance issues in cloud AI automation
  • Emerging developments in AI for cloud operations
  • The future trajectory of AI-powered cloud management

Advanced Concepts in Kubiya AI

  • Investigating sophisticated AI features for cloud automation
  • Deploying advanced strategies for security and cost efficiency
  • Tailoring Kubiya AI to distinct cloud environments

Recap and Path Forward

Requirements

  • Practical experience with major cloud platforms (AWS, Azure, or Google Cloud)
  • Fundamental understanding of DevOps methodologies
  • Working knowledge of automation tools

Target Audience

  • Cloud engineers
  • Operations managers

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