AI Agent Development with Mastra Training Course

Mastra Fundamentals

• Overview of TypeScript AI frameworks
• Core features and benefits of Mastra
• Setup and initial project configuration

Exploring Mastra’s Architecture

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

Constructing AI Agents

• Developing basic agents using TypeScript
• Incorporating tools and context into agent reasoning
• Building complex, multi-step AI tasks

Workflow Management and Automation

• Creating agent-led workflow sequences
• Managing asynchronous tasks and triggers
• Implementing error handling and process control

Retrieval-Augmented Generation (RAG) Integration

• Setting up document retrieval and indexing
• Linking external knowledge sources
• Enhancing output quality through contextual data

Monitoring and Troubleshooting

• Tracking agent activities and system logs
• Profiling and optimizing system performance
• Debugging workflows and verifying outcomes

Production Deployment and Scalability

• Releasing Mastra applications to live environments
• Connecting with cloud infrastructure
• Adopting security and scaling best practices

Enterprise Standards and Practical Applications

• Addressing governance, auditability, and reliability
• Reviewing enterprise case studies
• Exploring future developments and community roadmap

Key Takeaways and Further Guidance