AI Agent Development with Mastra Training Course

Introduction to the Mastra Framework

• Overview of AI frameworks designed for TypeScript
• Key features and strategic advantages of Mastra
• Setting up the installation and initial project configuration

Exploring the Mastra Architecture

• Core components and system design principles
• Structure of agents, workflows, and memory systems
• Integration points connecting to APIs and LLMs

Creating AI Agents

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

Workflows and Automation

• Designing efficient agent-driven workflows
• Managing the triggering and execution of asynchronous tasks
• Implementing error handling and process control mechanisms

Integrating RAG (Retrieval-Augmented Generation)

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

Observability and Debugging

• Monitoring agent activities and analyzing logs
• Conducting performance profiling and optimization
• Debugging workflows and tracking final outcomes

Deployment and Scaling

• Releasing Mastra applications to production environments
• Integrating with cloud-based infrastructure
• Adopting best practices for security and scalability

Best Practices and Enterprise Applications

• Considerations for governance, auditability, and system reliability
• Review of case studies from enterprise implementations
• Insights into future directions and the community roadmap

Summary and Next Steps