AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript AI frameworks
• Core features and strategic benefits of Mastra
• Setup procedures and project initialization

Exploring Mastra’s Architecture

• Essential components and system design principles
• Structuring agents, workflows, and memory systems
• Interoperability with APIs and LLMs

Creating AI Agents

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

Workflows and Automation

• Structuring agent-led workflows
• Managing triggers and asynchronous tasks
• Implementing robust error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing pipelines
• Linking external knowledge bases
• Enhancing response quality through contextual data

Observability and Debugging

• Tracking agent activities and logging
• Conducting performance profiling and optimization
• Debugging workflows and monitoring results

Deployment and Scalability

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

Best Practices and Enterprise Applications

• Addressing governance, audit trails, and reliability
• Reviewing enterprise case studies and implementations
• Future trends and community development roadmap

Summary and Next Steps