Rather than resembling another generic AI framework, Mastra functions as a meticulously organized workshop for those aiming to construct thinking systems. Grounded in TypeScript, it offers developers a refined, structured environment to shape AI agents, manage workflows, and integrate data streams, eliminating the typical clutter of disparate libraries and ad-hoc connections. It embodies a sense of precision, combining the usability of a modern toolkit with the complexities of real-world automation.
These instructor-led live training programs provide an in-depth look inside this environment. They explore the architectural elements that define Mastra’s value, including modular agent patterns, core workflow primitives, and integration layers designed to facilitate scaling rather than hinder it. Learners discover how to translate business logic into autonomous actions, how to manage multi-step reasoning pipelines, and how to maintain predictability in production settings where reliability is paramount.
Training can be accessed via online live sessions through an interactive remote desktop, offering participants a hands-on setup that replicates actual development workflows and fosters collaborative learning from any location.
Onsite live training is also available in Prague, either at client locations or NobleProg training centers. This allows teams to collaborate in a shared physical setting while engaging directly with practical, scenario-based exercises.
Frequently referred to as a TypeScript-native AI agent framework, Mastra is emerging as the preferred choice for developers who desire structure without inflexibility. It serves as the meeting point where AI automation, data orchestration, and enterprise-grade engineering converge on equal terms.
From Prague Main Train Station (Praha hlavní nádraží)
Take tram 9 from Hlavní nádraží toward Sídliště Řepy.
Get off at Újezd.
Walk about 10 minutes toward Malostranské náměstí / Prokopská.
Continue along Prokopská to 296/8.
Alternative: Take the metro C from Hlavní nádraží → Muzeum, change to metro A → Malostranská, then walk across Malá Strana. This involves more walking.
From Prague Bus Station — Florenc
Take metro B from Florenc toward Zličín.
Get off at Můstek.
Change to metro A toward Nemocnice Motol.
Get off at Malostranská.
Walk approximately 10–15 minutes to Prokopská 296/8.
This instructor-led training in Prague focuses on Mastra's tools for debugging, evaluating, and ensuring the reliability of AI agents. Participants will apply structured metrics, implement observability workflows, and design QA strategies to maintain consistent agent performance within complex environments.
This instructor-led training in Prague focuses on advanced Mastra integrations, covering APIs, tools, and enterprise data systems. Tailored for intermediate engineers, it delivers insights into secure, scalable integration design along with hands-on implementation using real-world scenarios and industry best practices.
This instructor-led program on Prague delves into the fundamentals of the Mastra framework for advanced multi-agent orchestration. Participants will learn to design intricate workflows, coordinate parallel tasks, and deploy monitoring tools to ensure reliable distributed systems and seamless enterprise integration.
This live training in Prague guides technical professionals through the process of deploying and scaling Mastra AI agents for production use. It covers environment preparation, observability, and performance optimization to ensure reliable, efficient, and cost-effective agent operations.
Delivered as a live, instructor-guided training session (available online or onsite), this course targets intermediate software developers and engineering teams looking to construct scalable and fully observable AI systems using Mastra.
Upon completion, participants will have the capability to:
Grasp Mastra’s underlying architecture and its seamless integration with LLMs and external APIs.
Architect and develop AI agents and workflows entirely in TypeScript.
Leverage Mastra’s built-in observability and memory modules to track and refine agent performance.
Release production-grade AI applications by harnessing the full potential of the Mastra framework.
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