AI Agent Development with Mastra Training Course

Getting Started with Mastra

• An overview of TypeScript-based AI frameworks
• Primary features and benefits offered by Mastra
• Setting up the installation and project structure

Delving into Mastra's Architecture

• Core components and high-level system design
• Architecture of agents, workflows, and memory management
• Integration points with external APIs and LLMs

Developing AI Agents

• Building basic agents using TypeScript
• Incorporating tools and context into agent reasoning processes
• Structuring multi-step AI tasks

Workflow Design and Automation

• Structuring agent-centric workflows
• Initiating and managing asynchronous tasks
• Handling errors and controlling process flow

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing systems
• Linking external knowledge bases
• Refining responses through contextual data optimization

Observability and Debugging Techniques

• Tracking agent activities and reviewing logs
• Analyzing performance profiles and optimizing efficiency
• Troubleshooting workflows and monitoring outcomes

Deployment and Scalability

• Releasing Mastra applications to production environments
• Connecting with cloud infrastructure services
• Applying security measures and scaling best practices

Best Practices and Enterprise Applications

• Considerations for governance, audit trails, and system reliability
• Analysis of case studies from enterprise deployments
• Looking ahead to future developments and the community roadmap

Conclusion and Recommended Next Steps