AI Agent Development with Mastra Training Course

Introduction to Mastra

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

Exploring Mastra Architecture

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

Constructing AI Agents

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

Workflows and Automation

• Designing workflows driven by agents
• Initiating and managing asynchronous tasks
• Error management and process control mechanisms

Integrating RAG (Retrieval-Augmented Generation)

• Implementing document retrieval and indexing strategies
• Linking external knowledge bases
• Enhancing responses through contextual data

Observability and Debugging

• Tracking agent activities and logs
• Performance analysis and optimization
• Debugging workflows and monitoring results

Deployment and Scaling

• Releasing Mastra applications to production environments
• Integration with cloud infrastructure
• Best practices for security and scalability

Best Practices and Enterprise Applications

• Considerations for governance, auditability, and reliability
• Case studies from enterprise-level implementations
• Future trends and community roadmap

Conclusion and Next Steps