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Duration 14 hours
Course Outline
Introduction to Mastra
- Survey of TypeScript-based AI frameworks
- Core features and benefits of Mastra
- Setting up installation and projects
Exploring Mastra Architecture
- Essential components and system design principles
- Structures for agents, workflows, and memory
- Integration touchpoints with APIs and LLMs
Constructing AI Agents
- Building basic agents with TypeScript
- Applying tools and context for agent reasoning
- Assembling multi-stage AI tasks
Workflows and Automation
- Architecting agent-driven workflows
- Initiating and overseeing asynchronous tasks
- Managing errors and process flow
RAG (Retrieval-Augmented Generation) Integration
- Executing document retrieval and indexing
- Linking external knowledge bases
- Refining responses through contextual data
Observability and Debugging
- Tracking agent actions and logs
- Profile performance and optimize efficiency
- Troubleshooting workflows and monitoring results
Deployment and Scalability
- Releasing Mastra applications to production
- Connecting with cloud infrastructure
- Security and scaling best practices
Best Practices and Enterprise Applications
- Considerations for governance, auditability, and reliability
- Case studies from enterprise deployments
- Future trends and community roadmap
Recap and Future Steps
Requirements
- Solid grasp of JavaScript and TypeScript fundamentals
- Practical experience with REST APIs or backend development
- Basic knowledge of AI and LLM concepts
Target Audience
- Software engineers developing AI or automation solutions
- Engineering leads architecting agent-driven systems
- Developers investigating enterprise-grade TypeScript AI frameworks
