AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript-based AI frameworks
• Key features and advantages of Mastra
• Installation and project initialization

Exploring the Mastra Architecture

• Core components and system design principles
• Agents, workflows, and memory structures
• Integration points with external APIs and LLMs

Developing AI Agents

• Creating basic agents using TypeScript
• Applying tools and context in agent reasoning
• Constructing multi-step AI tasks

Workflows and Automation

• Designing agent-driven workflow sequences
• Triggering and managing asynchronous tasks
• Implementing error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing systems
• Connecting external knowledge bases
• Optimizing responses with contextual data

Observability and Debugging

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

Deployment and Scaling

• Deploying Mastra applications to production environments
• Integrating with cloud infrastructure
• Security and scaling best practices

Best Practices and Enterprise Applications

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

Summary and Next Steps