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
Testimonials (5)
very friendly and helpful
Aktar Hossain - Unit4
Course - Building Microservices with Microsoft Azure Service Fabric (ASF)
Amount of Information, Exercises
Lukasz Kowalski - Sii Sp. z o.o.
Course - AWS IoT Core
Machine Translated
The manual serverless setup. Also, I had no Idea sls web console exits, which is nice.
Rafal Kucharski - The Software House sp. z o.o.
Course - Serverless Framework for Developers
IOT applications
Palaniswamy Suresh Kumar - Makers' Academy
Course - Industrial Training IoT (Internet of Things) with Raspberry PI and AWS IoT Core 「4 Hours Remote」
Later the balance between theory and practice was much better. But the beginnings were terrible. The way of expressing (language) is very calm, understandable, in a human way.
Lukasz Derkowski - NetworkedAssets Sp. z o.o.
Course - AWS CloudFormation
Machine Translated