Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Introduction to Mastra
- Survey of AI frameworks for TypeScript
- Essential features and benefits of Mastra
- Installation procedures and project configuration
Understanding the Mastra Architecture
- Core components and system design principles
- Architecture of agents, workflows, and memory systems
- Integration points for APIs and LLMs
Building AI Agents
- Developing basic agents using TypeScript
- Utilizing tools and context for enhanced agent reasoning
- Composing multi-step AI tasks
Workflows and Automation
- Designing workflows driven by agents
- Initiating and managing asynchronous tasks
- Implementing error handling and process control mechanisms
RAG (Retrieval-Augmented Generation) Integration
- Executing document retrieval and indexing
- Linking external knowledge bases
- Refining responses through contextual data optimization
Observability and Debugging
- Tracking agent activity and log monitoring
- Performance profiling and optimization techniques
- Debugging workflows and outcome tracking
Deployment and Scaling
- Deploying Mastra applications to production environments
- Integrating with cloud infrastructure
- Adhering to best practices for security and scalability
Best Practices and Enterprise Use Cases
- Addressing governance, auditability, and reliability factors
- Analyzing case studies from enterprise implementations
- Exploring future directions and community roadmaps
Summary and Next Steps
Requirements
- Proficiency in JavaScript and TypeScript fundamentals
- Prior experience with REST APIs or backend development
- Foundational knowledge of AI concepts and Large Language Models (LLMs)
Target Audience
- Software engineers developing AI or automation solutions
- Engineering leaders constructing agent-based systems
- Developers investigating enterprise-grade TypeScript AI frameworks
14 Hours
