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Duration 14 hours
Course Outline
Getting Started with Mastra
- Survey of AI frameworks available for TypeScript
- Core features and strategic benefits of Mastra
- Setup procedures and initial project configuration
Exploring Mastra’s Architecture
- Essential components and systemic design patterns
- Structure of agents, workflows, and memory systems
- Integration points for APIs and Large Language Models
Constructing AI Agents
- Developing basic agents with TypeScript
- Applying tools and context to enhance agent reasoning
- Assembling complex, multi-step AI operations
Workflows and Automation
- Architecting agent-driven workflows
- Initiating and controlling asynchronous tasks
- Managing errors and regulating process flow
Integrating RAG (Retrieval-Augmented Generation)
- Setting up document retrieval and indexing
- Linking to external knowledge repositories
- Refining responses through contextual data optimization
Observability and Debugging
- Tracking agent activity and reviewing logs
- Analyzing performance and optimizing speed
- Troubleshooting workflows and monitoring results
Deployment and Scalability
- Releasing Mastra applications to production environments
- Connecting with cloud infrastructure services
- Adhering to security standards and scaling best practices
Best Practices and Enterprise Applications
- Considerations for governance, audit trails, and reliability
- Real-world examples from enterprise deployments
- Future trends and the community roadmap
Conclusion and Future Actions
Requirements
- Solid grasp of JavaScript and TypeScript core concepts
- Practical experience with REST APIs or backend engineering
- Familiarity with foundational AI and LLM principles
Target Audience
- Software developers focused on AI or automation solutions
- Engineering leaders orchestrating agent-based systems
- Professionals investigating enterprise-level TypeScript AI frameworks
