AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript-based AI frameworks
• Primary features and benefits of Mastra
• Setup and initial project configuration

Exploring Mastra’s Architecture

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

Developing AI Agents

• Creating basic agents in TypeScript
• Incorporating tools and context into agent reasoning
• Assembling multi-step AI tasks

Workflows and Automation

• Architecting agent-driven workflows
• Triggering and managing asynchronous tasks
• Implementing error handling and process control

Retrieval-Augmented Generation (RAG) Integration

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

Observability and Debugging

• Monitoring agent behavior and logging activity
• Performance profiling and optimization techniques
• Debugging workflows and tracking results

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
• Insights from enterprise case studies
• Future trends and community roadmap

Wrap-up and Next Steps