Mastra - Typescript AI Framework Training in USA

The Mastra – TypeScript AI Framework Training is a developer-focused, hands-on program designed to teach how to build production-grade AI applications using Mastra with TypeScript.
The course covers AI app architecture, agent workflows, tool integration, LLM orchestration, state management, and deployment patterns, enabling teams to create scalable, maintainable, and enterprise-ready AI systems in a modern TypeScript stack.

This training is ideal for frontend, backend, and full-stack developers building AI-powered web and service applications.

Welcome to the official Mastra - Typescript AI Framework Training certification program. This comprehensive training is designed to elevate your professional skills and provide you with practical, industry-relevant knowledge in in USA. As a globally recognized corporate training provider operating in 55+ countries, ProgNXT ensures that our curriculum meets the highest standards of excellence.

Whether you are looking to upskill your team or advance your personal career, our expert-led sessions will guide you through the core concepts of this domain. Upon successful completion of the 14 Hrs program, participants will receive a globally accepted certification, demonstrating their proficiency and readiness to tackle complex challenges in the field.

• Working knowledge of TypeScript and JavaScript

• Familiarity with Node.js and modern web development

• Basic understanding of APIs and async programming

• Introductory knowledge of Generative AI concepts is helpful

• Mastra framework fundamentals

• TypeScript-based AI app architecture

• AI agent and workflow orchestration

• Tool and API integration

• Prompting and structured outputs

• State, memory, and context handling

• Production deployment and monitoring

By the end of this training, participants will be able to:

• Build AI-powered applications using Mastra and TypeScript

• Design agent-based and workflow-driven AI systems

• Integrate LLMs, tools, and external services

• Implement structured outputs and validation

• Manage state, memory, and context in AI apps

• Deploy and operate AI services in production