AI Agent Development with Mastra Training Course

Getting Started with Mastra

• Survey of TypeScript-based AI frameworks
• Core advantages and distinctive features of Mastra
• Setting up the environment and project initialization

Exploring Mastra’s Internal Architecture

• Essential components and structural design
• Architecture of agents, workflows, and memory
• Connecting with external APIs and LLMs

Constructing AI Agents

• Developing basic agents using TypeScript
• Incorporating tools and context into agent logic
• Orchestrating complex, multi-stage AI tasks

Workflows and Automation

• Creating agent-centric workflow structures
• Managing asynchronous tasks and triggers
• Implementing error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Setting up document retrieval and indexing
• Linking external knowledge repositories
• Refining outputs through contextual data usage

Observability and Troubleshooting

• Tracking agent behavior and analyzing logs
• Profiling and optimizing performance
• Debugging workflow execution and monitoring results

Production Deployment and Scaling

• Releasing Mastra applications to live environments
• Integrating with cloud-based infrastructure
• Adopting security and scaling best practices

Best Practices and Enterprise Applications

• Addressing governance, audit trails, and reliability
• Examining real-world enterprise case studies
• Looking ahead to community roadmap and future developments

Wrap-up and Future Actions