AI Agent Development with Mastra Training Course

Mastra Introduction

• Survey of AI frameworks tailored for TypeScript
• Primary capabilities and benefits of Mastra
• Setting up the installation and initial project configuration

Exploring Mastra’s Architecture

• Essential components and system design principles
• The structure of agents, workflows, and memory
• Points of integration for APIs and LLMs

Creating AI Agents

• Building foundational agents in TypeScript
• Incorporating tools and context into agent reasoning
• Structuring complex, multi-step AI tasks

Workflows and Automation

• Planning agent-centric workflows
• Initiating and overseeing asynchronous tasks
• Managing errors and controlling process flow

Integrating RAG (Retrieval-Augmented Generation)

• Implementing document indexing and retrieval mechanisms
• Linking external knowledge repositories
• Refining responses through contextual data

Observability and Debugging

• Monitoring agent actions and logging activity
• Profiling performance for optimization
• Debugging workflows and monitoring results

Deployment and Scaling

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

Best Practices and Enterprise Applications

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

Summary and Future Pathways