AI Agent Development with Mastra Training Course

Introduction to Mastra

• An overview of AI frameworks for TypeScript
• Primary features and benefits of Mastra
• Installing and setting up projects

Exploring Mastra’s Architecture

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

Developing AI Agents

• Creating straightforward agents with TypeScript
• Incorporating tools and context into agent reasoning
• Structuring multi-step AI tasks

Workflows and Automation

• Designing agent-centric workflows
• Initiating and managing asynchronous tasks
• Managing errors and controlling processes

Integrating RAG (Retrieval-Augmented Generation)

• Setting up document retrieval and indexing
• Linking external knowledge bases
• Refining responses with contextual data

Observability and Debugging

• Monitoring agent activity and reviewing logs
• Profiling and optimising performance
• Debugging workflows and tracking results

Deployment and Scalability

• Releasing Mastra applications to production environments
• Integrating with cloud infrastructure
• Best practices for security and scaling

Best Practices and Enterprise Applications

• Considerations for governance, auditability, and reliability
• Case studies from enterprise deployments
• Future directions and the community roadmap

Summary and Future Steps