AI Agent Development with Mastra Training Course

Introduction to Mastra

• Survey of AI frameworks for TypeScript
• Principal features and benefits of Mastra
• Setup procedures and project initialization

Deciphering the Mastra Architecture

• Essential components and system design
• Structural aspects of agents, workflows, and memory
• Integration interfaces for APIs and LLMs

Constructing AI Agents

• Building foundational agents with TypeScript
• Incorporating tools and context into agent reasoning
• Structuring multi-step AI tasks

Workflows and Automation

• Architecting agent-driven workflows
• Initiating and controlling asynchronous tasks
• Managing errors and process flow

RAG (Retrieval-Augmented Generation) Integration

• Executing document retrieval and indexing
• Linking external knowledge bases
• Enhancing responses through contextual data

Observability and Debugging

• Tracking agent activity and log data
• Profiling performance and applying optimizations
• Troubleshooting workflows and monitoring outcomes

Deployment and Scaling

• Releasing Mastra applications to production environments
• Connecting with cloud infrastructure
• Implementing security and scaling best practices

Best Practices and Enterprise Use Cases

• Considerations for governance, auditability, and reliability
• Insights from enterprise-level case studies
• Future trends and community roadmap

Summary and Next Steps