AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript-based AI frameworks
• Principal features and benefits of Mastra
• Setup and installation procedures

Exploring Mastra's Architecture

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

Constructing AI Agents

• Developing basic agents with TypeScript
• Incorporating tools and context into agent reasoning
• Building complex, multi-step AI tasks

Workflows and Automation

• Designing workflows driven by agents
• Managing and triggering asynchronous tasks
• Implementing error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing systems
• Linking to external knowledge bases
• Enhancing responses through contextual data optimization

Observability and Debugging

• Tracking agent activity and logs
• Conducting performance profiling and optimization
• Debugging workflows and monitoring outcomes

Deployment and Scalability

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

Best Practices and Enterprise Applications

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

Recap and Future Steps