AI Agent Development with Mastra Training Course

Introducing Mastra

• Survey of AI frameworks available for TypeScript
• Core benefits and distinguishing features of Mastra
• Setting up the development environment and initialising projects

Exploring Mastra’s Architecture

• Primary components and system design principles
• Structure of agents, workflows, and memory systems
• Integration points with external 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 agent-driven workflows
• Initiating and managing asynchronous tasks
• Handling errors and controlling process flow

Integrating RAG (Retrieval-Augmented Generation)

• Building document retrieval and indexing pipelines
• Linking to external knowledge repositories
• Refining responses through contextual data usage

Observability and Debugging

• Tracking agent activity and system logs
• Profiling performance and applying optimisations
• Debugging workflows and monitoring outcomes

Deployment and Scaling

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

Best Practices and Enterprise Applications

• Addressing governance, auditability, and reliability requirements
• Examining case studies from enterprise deployments
• Reviewing future developments and the community roadmap

Recap and Path Forward