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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
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