AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of AI frameworks tailored for TypeScript
• Primary features and benefits of Mastra
• Installation procedures and project initialization

Exploring Mastra's Architecture

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

Developing AI Agents

• Creating basic agents using TypeScript
• Utilizing tools and context within agent reasoning
• Assembling multi-step AI tasks

Workflows and Automation

• Designing workflows driven by agents
• Initiating and managing asynchronous tasks
• Managing errors and controlling processes

RAG (Retrieval-Augmented Generation) Integration

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

Observability and Debugging

• Monitoring agent activities and reviewing logs
• Performance profiling and optimization techniques
• Debugging workflows and tracking outcomes

Deployment and Scaling

• Deploying Mastra applications to production environments
• Integrating 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 directions and the community roadmap

Conclusion and Next Steps