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Course Outline
Introduction to Kubiya AI
- Overview of Kubiya AI and its core capabilities
- The role of AI-powered automation in cloud environments
- Key features of Kubiya AI relevant to cloud management
Cloud Resource Automation
- Automating resource provisioning processes with Kubiya AI
- Managing cloud environments via AI-driven workflows
- Integration strategies for major cloud services (AWS, Azure, Google Cloud)
Optimizing Cloud Costs with AI
- AI-based methodologies for cost optimization
- Real-time tracking of cloud usage and associated expenses
- Leveraging AI recommendations to mitigate cloud costs
Security Enhancements Using Kubiya AI
- AI-driven security monitoring and proactive threat detection
- Automating responses to security incidents
- Implementing AI-assisted compliance checks
Hands-On with Kubiya AI
- Configuration and setup of Kubiya AI for cloud operations
- Practical labs: Automating cloud resource management tasks
- Practical labs: Applying cost optimization techniques
Challenges and Future Trends
- Addressing scalability and performance challenges in cloud AI automation
- Exploring emerging trends in AI for cloud operations
- Prospects for the future of AI-powered cloud management
Advanced Kubiya AI Concepts
- Delving into advanced AI features for cloud automation
- Deploying sophisticated security and cost-saving strategies
- Customizing Kubiya AI configurations for specific cloud environments
Summary and Next Steps
Requirements
- Practical experience with major cloud platforms (AWS, Azure, or Google Cloud)
- Foundational understanding of DevOps methodologies
- Familiarity with standard automation tools
Target Audience
- Cloud engineers
- Operations managers
14 Hours
Testimonials (2)
All of the training was great. Especially liked the training documentation to reference. Looking forward to the Advanced Training, when we are ready.
Amy Gregg - Qualfon
Course - Boomi Integration Fundamentals
I've find out new interesting things about Lambda and Serverless