AI Agent Development with Mastra Training Course

Introduction to Mastra

• Survey of AI frameworks tailored for TypeScript
• Key features and benefits of the Mastra ecosystem
• Setting up installation and initial project configuration

Exploring Mastra’s Architecture

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

Constructing AI Agents

• Building basic agents with TypeScript
• Incorporating tools and context into agent reasoning
• Combining multi-step AI tasks into cohesive flows

Workflows and Automation

• Structuring agent-driven workflows
• Initiating and controlling asynchronous tasks
• Managing error handling and process flow

Integrating RAG (Retrieval-Augmented Generation)

• Implementing document retrieval and indexing strategies
• Linking external knowledge bases
• Enhancing response quality using contextual data

Observability and Debugging

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

Deployment and Scaling

• Releasing Mastra applications to production environments
• Integrating with cloud infrastructure
• Adopting security and scaling best practices

Best Practices and Enterprise Scenarios

• Addressing governance, auditability, and reliability
• Examining case studies from enterprise deployments
• Reviewing future directions and the community roadmap

Summary and Next Steps