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 TypeScript AI frameworks
- Core features and benefits of Mastra
- Installation procedures and project initialization
Comprehending Mastra Architecture
- Essential components and system design
- Architecture of agents, workflows, and memory
- Integration points for APIs and LLMs
Constructing AI Agents
- Developing simple agents with TypeScript
- Utilizing tools and context for agent reasoning
- Structuring multi-step AI tasks
Workflows and Automation
- Designing workflows driven by agents
- Initiating and managing asynchronous tasks
- Error handling and process control mechanisms
Integration of RAG (Retrieval-Augmented Generation)
- Implementing document retrieval and indexing strategies
- Linking external knowledge bases
- Enhancing responses through contextual data optimization
Observability and Debugging
- Monitoring agent activity and log analysis
- Performance profiling and optimization techniques
- Debugging workflows and tracking outcomes
Deployment and Scaling
- Deploying Mastra applications to production environments
- Cloud infrastructure integration
- Best practices for security and scalability
Best Practices and Enterprise Use Cases
- Considerations for governance, auditability, and reliability
- Case studies derived from enterprise implementations
- Future directions and community roadmap
Summary and Next Steps
Requirements
- Fundamental knowledge of JavaScript and TypeScript
- Experience in backend development or working with REST APIs
- Basic understanding of AI concepts and Large Language Models (LLMs)
Target Audience
- Software engineers engaged in developing AI or automation solutions
- Engineering leads responsible for building agent-driven systems
- Developers investigating enterprise-grade TypeScript AI frameworks
14 Hours
