AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of AI frameworks tailored for TypeScript
• Core features and strategic benefits of Mastra
• Installation procedures and initial project configuration

Exploring Mastra’s Architecture

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

Constructing AI Agents

• Developing basic agents using TypeScript
• Incorporating tools and context for agent reasoning
• Orchestrating multi-step AI tasks

Workflows and Automation

• Architecting agent-driven workflows
• Managing asynchronous tasks and triggers
• Implementing error handling and process control

Integration of Retrieval-Augmented Generation (RAG)

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

Observability and Debugging

• Tracking agent activity and logging
• Performance profiling and optimization techniques
• Debugging workflows and monitoring outcomes

Deployment and Scalability

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

Best Practices and Enterprise Applications

• Considerations for governance, auditability, and reliability
• Real-world case studies from enterprise deployments
• Future trends and community roadmap insights

Conclusion and Future Steps