AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript-based AI frameworks
• Key features and strategic advantages of Mastra
• Installation and initial project setup

Understanding the Mastra Architecture

• Core components and system design principles
• Architecture of agents, workflows, and memory
• Integration points with APIs and LLMs

Building AI Agents

• Creating simple agents using TypeScript
• Utilizing tools and context for agent reasoning
• Structuring multi-step AI tasks

Workflows and Automation

• Designing workflows driven by agents
• Triggering and managing asynchronous tasks
• Implementing error handling and process control

RAG (Retrieval-Augmented Generation) Integration

• Implementing document retrieval and indexing
• Connecting to external knowledge bases
• Optimizing responses using contextual data

Observability and Debugging

• Monitoring agent activity and logs
• Performance profiling and optimization strategies
• Debugging workflows and tracking outcomes

Deployment and Scaling

• Deploying Mastra applications to production environments
• 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 the community roadmap

Summary and Next Steps