AI Agent Development with Mastra Training Course

Introduction to Mastra

• Survey of AI frameworks available for TypeScript
• Primary features and benefits of Mastra
• Setup and initial project configuration

Exploring Mastra's Architecture

• Essential components and system structure
• Structure of agents, workflows, and memory
• Points of integration with APIs and LLMs

Creating AI Agents

• Developing basic agents with TypeScript
• Applying tools and context to agent reasoning
• Structuring multi-stage AI tasks

Workflows and Automation

• Planning agent-driven workflows
• Initiating and overseeing asynchronous tasks
• Managing errors and controlling processes

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing systems
• Linking external knowledge bases
• Refining responses through contextual data

Observability and Debugging

• Tracking agent activity and logs
• Profile performance and optimize efficiency
• Diagnose workflows and monitor outcomes

Deployment and Scaling

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

Best Practices and Enterprise Applications

• Considerations for governance, auditability, and reliability
• Analysis of enterprise implementation case studies
• Future trends and community roadmap

Wrap-up and Next Steps