Build Real-World LLM Agent Systems: Tech Stack @ai-science
Build Real-World LLM Agent Systems: Tech Stack  @ai-science
Uploaded October 2025 | Updated September 2026, 3 weeks ago
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https://www.ai.science/products-services/llm-agents-bootcamp
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Take your AI skills from experiments to production in our intensive LLM Agents Bootcamp where you’ll build real, deployable agentic workflows using the exact stack people are shipping with today: LangGraph, Cursor, and n8n. Iterate quickly with AI-assisted coding in Cursor, or architect fully coded multi-agent systems with LangGraph (or equivalents like AutoGen and CrewAI). this course shows you how to combine those approaches into robust end-to-end projects. You’ll learn practical patterns for orchestration, tool integration, prompt engineering, evaluation, and production considerations so your agent actually works for real users; not just demos.

#LLMAgents #LangGraph #n8n #Cursor #AutoGen #AgenticAI #AIbootcamp #PromptEngineering #MLOps #AIProductDevelopment #LearnAI
Build Real-World LLM Agent Systems: Tech StackLarge Language Models as a Building BlocksLeveraging LLMs for Causal ReasoningI Built an Inventory App for Amazon, Etsy & In-Store SalesThe Spectrum of Building with Agentic SystemsHow Can We Improve Traditional RAG with Multimodal and Practical Enhancements?Dynamic Prompting and Retrieval TechniquesLLM VLM Based Reward ModelsBuilding SHERPA-K: AI-Powered Kitchen ManagerWhy AI Agents Make Sense in Health CareStartup Pitch: Automating Data Extraction with AIWhen Constraints Vanish: Finding AI Opportunities
LLMs Explained - Aggregate Intellect - AI.SCIENCE |

Build Real-World LLM Agent Systems: Tech Stack

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