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Duration 14 hours (2 days)
Course Outline
Introduction to Mastra
- Survey of AI frameworks for TypeScript
- Notable features and benefits of Mastra
- Setup procedures and project initialization
Exploring Mastra Architecture
- Essential components and system design patterns
- Structures for agents, workflows, and memory
- Integration touchpoints with APIs and LLMs
Creating AI Agents
- Developing basic agents with TypeScript
- Incorporating tools and context for agent reasoning
- Orchestrating multi-step AI tasks
Workflows and Automation
- Architecting agent-driven workflows
- Initiating and overseeing asynchronous tasks
- Managing errors and process control
RAG (Retrieval-Augmented Generation) Integration
- Setting up document retrieval and indexing
- Linking external knowledge bases
- Refining outputs using contextual data
Observability and Debugging
- Tracking agent activity and reviewing logs
- Conducting performance profiling and optimization
- Troubleshooting workflows and monitoring results
Deployment and Scaling
- Releasing Mastra applications to production
- Connecting with cloud infrastructure
- Adhering to security and scaling best practices
Best Practices and Enterprise Applications
- Considering governance, audit trails, and reliability
- Reviewing case studies from enterprise deployments
- Exploring future trends and community roadmaps
Conclusion and Recommended Next Steps
Requirements
- Solid grasp of JavaScript and TypeScript core concepts
- Practical experience with REST APIs or backend engineering
- Fundamental understanding of AI and LLM principles
Target Audience
- Software professionals focused on AI or automation solutions
- Technical leads developing agent-based systems
- Engineers investigating enterprise-level TypeScript AI frameworks
