Overview
Discover how Spotify built autonomous AI agents using LangGraph to streamline cloud cost analysis, featuring multi-agent architecture, task planning, and automatic query repair capabilities for delivering actionable cost optimization insights.
Syllabus
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- Introduction to Autonomous AI Agents
-- Overview of AI agents
-- Importance in cloud cost analysis
- Understanding Cloud Cost Analysis
-- Basics of cloud cost management
-- Challenges in cloud cost analysis
-- Key metrics and KPIs
- Introduction to LangGraph
-- Overview of LangGraph technology
-- Benefits for building AI agents
- Multi-Agent Architecture
-- Design principles of multi-agent systems
-- Coordination among agents
-- Communication protocols
- Task Planning for AI Agents
-- Task decomposition and assignment
-- Scheduling and prioritization
-- Handling dynamic environments
- Automatic Query Repair
-- Error detection and correction
-- Iterative query refinement
-- Use cases in cost analysis
- Delivering Actionable Insights
-- Data interpretation and visualization
-- Presentation of cost optimization insights
-- Decision-making support for stakeholders
- Case Study: Spotify's Implementation
-- Overview of Spotify's use case
-- Specific challenges and solutions
-- Results and impact on cost management
- Practical Considerations
-- Managing scalability and performance
-- Security and compliance considerations
-- Integration with existing systems
- Future Trends in Autonomous AI for Cloud
-- Emerging technologies
-- Advancements in cost analysis
- Summary and Conclusion
-- Key takeaways from the course
-- Future learning paths and resources
Taught by
Tags
On-Demand
