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Kurzusleírás
Introduction to Mastra
- Overview of AI frameworks for TypeScript
- Key features and advantages of Mastra
- Installation and project setup
Understanding the Mastra Architecture
- Core components and system design
- Agents, workflows, and memory architecture
- Integration points with APIs and LLMs
Building AI Agents
- Creating simple agents with TypeScript
- Using tools and context in agent reasoning
- Composing multi-step AI tasks
Workflows and Automation
- Designing agent-driven workflows
- Triggering and managing async tasks
- Error handling and process control
RAG (Retrieval-Augmented Generation) Integration
- Implementing document retrieval and indexing
- Connecting external knowledge bases
- Optimizing responses using contextual data
Observability and Debugging
- Monitoring agent activity and logs
- Performance profiling and optimization
- Debugging workflows and tracking outcomes
Deployment and Scaling
- Deploying Mastra applications to production
- Integration with cloud infrastructure
- Security and scaling best practices
Best Practices and Enterprise Use Cases
- Governance, auditability, and reliability considerations
- Case studies from enterprise implementations
- Future directions and community roadmap
Summary and Next Steps
Követelmények
- An understanding of JavaScript and TypeScript fundamentals
- Experience with REST APIs or backend development
- Basic familiarity with AI or LLM concepts
Audience
- Software engineers working on AI or automation solutions
- Engineering leads building agent-driven systems
- Developers exploring enterprise-grade TypeScript AI frameworks
14 Órák
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Adrian
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