AI Agent Development with Mastra Training Course

Mastra Fundamentals

• Survey of TypeScript-based AI frameworks
• Core benefits and distinguishing features of Mastra
• Setup and initial project configuration

Exploring Mastra’s Architecture

• Essential components and system design principles
• Structure of agents, workflows, and memory
• Connectivity with APIs and LLMs

Constructing AI Agents

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

Workflows and Automation

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

Integrating RAG (Retrieval-Augmented Generation)

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

Observability and Troubleshooting

• Tracking agent activity and analyzing logs
• Profiling performance for optimization
• Debugging workflows and monitoring results

Deployment and Scalability

• Releasing Mastra applications to production environments
• Connecting with cloud infrastructure
• Security protocols and scaling strategies

Best Practices and Enterprise Applications

• Considerations for governance, audit trails, and reliability
• Insights from enterprise case studies
• Future trends and community development plans

Conclusions and Future Pathways