AutoGen serves as an open-source framework designed for creating LLM agents that operate collaboratively, engaging in dialogue to autonomously resolve complex challenges.
Our expert-led courses guide you through the process of orchestrating multiple agents, tailoring their behaviors using Python, and deploying multi-role AI systems for purposes ranging from research and automation to rapid prototyping.
These training sessions are offered as live online interactions via interactive remote desktop, or as on-site live training in Prague, incorporating practical labs focused on prompt engineering, agent workflows, and tool integration.
Regardless of whether you are assembling your first agent team or expanding complex AI pipelines, on-site courses can be conducted at your location in Prague or at a NobleProg corporate training center, providing an immersive, team-oriented learning experience.
Also recognized as AutoGen Studio or Multi-Agent LLM Framework, this training is perfectly suited for developers, researchers, and innovators seeking to explore the next horizon of generative AI.
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.
Advanced AutoGen training in Prague for developers and architects seeking to master custom agents, dynamic tool routing, and complex multi-agent workflows. This course leverages Python APIs, advanced function calling, and modular toolchains to build scalable, real-world LLM applications.
This practical training in Prague guides you through visually designing LLM-driven multi-agent workflows using AutoGen Studio, eliminating the need for coding. Master the skills to configure agents, regulate communication flows, and handle errors to build robust internal automation or AI products.
This live training in Prague offers a hands-on experience for advanced AI professionals. It centers on implementing scalable, intelligent agent systems with the AutoGen framework to automate complex business operations, covering workflow design, RAG pipelines, and scaling for production use.
This hands-on training in Prague guides intermediate professionals in designing and orchestrating multi-agent systems using Microsoft's AutoGen framework with Python. Learners acquire practical skills in defining agent roles, function calling, memory management, and deploying real-world LLM workflows.
This one-day workshop, tailored for developers, data scientists, and AI enthusiasts, provides the knowledge and skills needed to understand and leverage agentic AI systems using AutoGen v0.4.
Combining practical demonstrations with hands-on exercises, you will learn how to construct, manage, and deploy multi-agent applications driven by Large Language Models (LLMs).
Upon completion of the course, you will establish a strong understanding of AutoGen’s layered architecture, gain proficiency in asynchronous agent communication, and explore real-world use cases along with best practices for developing scalable and intelligent LLM-based applications.
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Testimonials (1)
I liked that he constantly provided examples but also offered time for individual work on what he presented.
Iacob Giorgel
Course - Agentic AI Unleashed: Crafting LLM Applications with AutoGen
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