AI Agent Development with Mastra Training Course

Introduction to Mastra

• Survey of AI frameworks built for TypeScript
• Core features and strategic benefits of Mastra
• Setting up the environment and initializing projects

Exploring Mastra's Architecture

• Examining core components and system design patterns
• Deep dive into agents, workflows, and memory structures
• Understanding integration points with external APIs and LLMs

Constructing AI Agents

• Developing foundational agents using TypeScript
• Applying tools and context to enhance agent reasoning
• Orchestrating complex, multi-step AI tasks

Workflows and Automation

• Architecting agent-led workflow processes
• Handling asynchronous task triggers and management
• Implementing robust error handling and process control

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing pipelines
• Linking external knowledge repositories
• Refining outputs through contextual data optimization

Observability and Debugging

• Tracking agent behavior and analyzing logs
• Conducting performance profiling and optimization
• Tracing workflow outcomes and debugging issues

Deployment and Scaling

• Releasing Mastra applications to production environments
• Aligning with cloud infrastructure standards
• Adhering to security protocols and scaling best practices

Best Practices and Enterprise Applications

• Navigating governance, audit trails, and reliability standards
• Reviewing case studies from enterprise-scale deployments
• Exploring future trajectories and the community roadmap

Wrap-up and Future Actions