Mastra AI Agent Development Training in Cork, Ireland

The Mastra AI Agent Development Training is a hands-on program designed to teach how to build, deploy, and manage AI agents using the Mastra framework.

The course focuses on developing production-grade AI agents with structured workflows, tool integration, memory, and orchestration, enabling teams to build reliable, scalable, and governed agent-based systems.

This training is ideal for developers, AI engineers, and platform teams building agent-driven applications.

Introduction to AI Agents & Mastra

• What are AI agents?
• Where Mastra fits in the agent ecosystem
• Mastra architecture overview
• Use cases for Mastra-based agents

Mastra Project Setup & Environment

• Installing Mastra
• Project structure and configuration
• Environment variables and secrets
• Connecting to LLM providers

Building Your First Mastra Agent

• Creating a basic agent
• Defining agent goals and roles
• System prompts and behavior configuration
• Running and testing the agent

Agent Tools & Function Integration

• Connecting agents to tools
• File system and database tools
• API and service integrations
• Safe tool execution patterns

Workflow & Orchestration Design

• Designing multi-step workflows
• Sequential and parallel task execution
• Conditional branching
• Workflow state transitions

Memory & Context Management

• Short-term vs long-term memory
• Persisting agent state
• Context window optimization
• Preventing memory drift

Multi-Agent Systems with Mastra

• Designing collaborating agents
• Role separation and communication
• Agent coordination patterns
• Managing agent dependencies

Structured Outputs & Validation

• Enforcing JSON and schema outputs
• Validating agent responses
• Error handling for invalid outputs
• Reliability patterns

RAG & Knowledge Integration

• Integrating vector databases
• Document ingestion pipelines
• Knowledge-grounded agents
• Reducing hallucinations with retrieval

Human-in-the-Loop & Supervision

• Approval gates and review steps
• Supervisor and reviewer agents
• Manual override mechanisms
• Safe autonomy design

Testing & Debugging Agents

• Unit testing agent logic
• Conversation and workflow testing
• Debugging failed tool calls
• Improving agent reliability

Performance & Cost Optimization

• Token usage optimization
• Caching strategies
• Latency reduction
• Cost monitoring and limits

Security, Privacy & Governance

• Securing agent tools and data
• Role-based access control
• Audit logs and traceability
• Compliance and governance patterns

Deployment & Production Operations

• Deploying Mastra agents
• CI/CD for agent systems
• Monitoring and observability
• Versioning agents and workflows

Hands-on Exercises

Summary and Conclusion