AI Agent Development with Mastra Training Course

Introduction to Mastra

• Overview of TypeScript-based AI frameworks
• Distinct features and benefits of Mastra
• Process for installation and initial project configuration

Exploring Mastra’s Architecture

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

Developing AI Agents

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

Workflows and Automation

• Architecting workflows driven by AI agents
• Initiating and overseeing asynchronous tasks
• Managing error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Setting up document retrieval and indexing systems
• Linking external knowledge bases
• Refining outputs by leveraging contextual data

Observability and Debugging

• Tracking agent activity and review logs
• Conducting performance profiling and optimization
• Debugging workflows and monitoring results

Deployment and Scaling

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

Best Practices and Enterprise Applications

• Addressing governance, auditability, and reliability
• Reviewing case studies from enterprise deployments
• Discussing future trends and the community roadmap

Summary and Future Actions