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 for government
- Survey of AI frameworks compatible with TypeScript
- Principal capabilities and benefits of the Mastra platform
- Installation procedures and initial project configuration
Mastra System Architecture Overview
- Fundamental components and structural design
- Architecture governing agents, workflows, and memory states
- Integration mechanisms with APIs and large language models (LLMs)
Development of AI Agents for government operations
- Construction of basic agent functionalities using TypeScript
- Utilization of tools and contextual data to enhance agent decision-making
- Execution of complex, multi-stage AI tasks
Workflow Management and Automation
- Designing workflow processes driven by agent logic
- Initiation and management of asynchronous tasks
- Implementation of error handling and process control measures
Integration of Retrieval-Augmented Generation (RAG)
- Execution of document retrieval and indexing protocols
- Connectivity with external knowledge repositories
- Enhancement of response accuracy through contextual data integration
Observability and Diagnostic Support for government systems
- Monitoring agent activity and reviewing system logs
- Performance profiling and efficiency optimization
- Diagnostics of workflow execution and outcome tracking
Deployment and Scalability Infrastructure
- Deployment of Mastra applications into production environments for government use
- Integration with established cloud infrastructure platforms
- Adherence to security protocols and scaling best practices
Operational Best Practices and Enterprise Applications
- Considerations regarding governance, auditability, and system reliability for government entities
- Analysis of implementation case studies within enterprise contexts
- Outlook on future development directions and community planning
Summary and Strategic Next Steps for government
Requirements
- Demonstrated proficiency in JavaScript and TypeScript foundational principles
- Practical experience developing or interacting with REST APIs and backend services
- Foundational knowledge of artificial intelligence and large language model (LLM) architectures
Audience
- Software engineers engaged in the development of AI-driven automation solutions for government applications
- Engineering leadership responsible for architecting agent-based systems
- Developers assessing enterprise-grade TypeScript frameworks designed for AI integration
14 Hours
