AI Agent Development with Mastra Training Course

Introduction to Mastra

• Survey of AI frameworks for TypeScript
• Core features and benefits of Mastra
• Installation and initial project setup

Exploring the Mastra Architecture

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

Constructing AI Agents

• Building simple agents with TypeScript
• Applying tools and context in agent reasoning
• Creating multi-step AI tasks

Workflows and Automation

• Designing agent-driven workflows
• Initiating and managing asynchronous tasks
• Implementing error handling and process control

Integration of RAG (Retrieval-Augmented Generation)

• Implementing document retrieval and indexing
• Linking external knowledge bases
• Refining responses using contextual data

Observability and Debugging

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

Deployment and Scaling

• Releasing Mastra applications to production
• Integrating with cloud infrastructure
• Best practices for security and scalability

Best Practices and Enterprise Use Cases

• Considerations for governance, auditability, and reliability
• Case studies from enterprise deployments
• Future directions and community roadmap

Recap and Next Steps