Eden Marco

LangGraph- Develop LLM powered AI agents with LangGraph

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In this comprehensive course on LangGraph, students dive deep into the architecture of stateful, multi-actor applications built on top of LLMs. Moving beyond simple chains, this program provides a robust foundation in building circular, graph-based agents that maintain memory and handle complex task sequencing. You will explore the intricacies of LangGraph’s cyclic nature, which is essential for developing agents that can reason, reflect, and perform multi-step operations without getting stuck in infinite loops. The curriculum guides you through implementing state management, checkpointing, and human-in-the-loop workflows, ensuring your agents are reliable and enterprise-ready. Furthermore, the course demystifies the rapidly evolving LangGraph ecosystem, covering the LangGraph Studio for visual debugging, deployment via LangGraph Cloud, and interacting with the managed service APIs. By bridging the gap between theoretical agent design and practical implementation, this course ensures developers understand how to build resilient, production-grade autonomous systems that can handle real-world complexity effectively, providing a significant edge in the fast-moving field of generative AI development.

Agentic AI Internals: Build an Agent from Scratch

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Agentic AI Internals: Build an Agent from Scratch is a deep-dive technical masterclass designed to strip away the abstractions often found in high-level AI tutorials. Instead of relying on 'black box' frameworks, this course empowers software engineers to peel back the layers of LangChain, understanding the core architectural decisions that make modern generative AI agents tick. You will move far beyond simple API calls by exploring the mechanics of ReAct prompting, Chain of Thought reasoning, and custom Context Engineering. This course is particularly valuable for developers who need to move from building prototypes to engineering production-grade, reliable agents. You will gain hands-on experience implementing RAG pipelines, managing vector databases like Pinecone and FAISS, and mastering the nuances of Model Context Protocol (MCP). By the end of this curriculum, you will not just be a consumer of LangChain; you will possess the specialized knowledge required to navigate the source code, debug complex agentic flows, and build custom-tailored LLM integrations that solve real-world problems. This is the definitive bridge between basic prompt engineering and sophisticated, autonomous AI system development.

LangChain- Agentic AI Engineering with LangChain & LangGraph

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Eden Marco's course on Agentic AI Engineering is a comprehensive, production-oriented masterclass designed for developers looking to transition from simple prompt engineering to building sophisticated, stateful AI agents. This course dives deep into the architecture of modern agentic workflows, leveraging the power of Python, LangChain, and LangGraph. Students begin by mastering foundational concepts such as Chain of Thought, ReAct, and Few-Shot prompting, before transitioning into advanced territory like state management, complex multi-agent orchestrations, and context engineering. A key highlight of this program is the hands-on implementation of Retrieval-Augmented Generation (RAG) pipelines utilizing industry-standard vector databases like Pinecone and FAISS. Developers will also explore the cutting-edge Model Context Protocol (MCP), learning how to seamlessly connect local data sources and enterprise tools to their language models. Throughout the course, Eden guides learners through the inner workings of the open-source LangChain codebase, enabling them to debug, extend, and deploy robust AI agents with absolute confidence. This is the ideal learning path for software engineers looking to construct resilient, enterprise-grade AI systems.

Claude Code Beginner Crash Course: Claude Code In a Day

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Aspiring developers and seasoned software engineers alike are constantly looking for practical ways to integrate cutting-edge artificial intelligence into their daily programming routines. The Claude Code Beginner Crash Course: Claude Code In a Day by Eden Marco provides a comprehensive and highly practical blueprint to mastering agentic coding workflows using Anthropic’s powerful terminal-based tool. This immersive course successfully bridges the gap between traditional programming and next-generation AI engineering, enabling students to orchestrate multi-agent system workflows for highly complex software development challenges. Throughout the curriculum, learners will explore the deep mechanics of context engineering, discovering exactly how to structure and feed high-value data into the Claude engine to generate flawless, production-ready code. Eden Marco guides students step-by-step through advanced AI debugging, autonomous terminal commands, and automated refactoring strategies, ensuring they walk away with the practical confidence to completely revolutionize their modern software development pipeline. Perfect for technical professionals aiming to stay ahead of the rapid AI curve, this course demystifies agent harnesses and prepares you to lead the future of intelligent software creation.

Agent Skills from Scratch

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Agent Skills from Scratch is a practical, developer-focused guide designed to demystify how AI agents interact with the external world and execute sophisticated, multi-step workflows. Led by expert instructor Eden Marco, this course bridges the gap between static prompt engineering and fully autonomous agents capable of executing real-world API tasks. Students will dive deep into the mechanics of building, packaging, and deploying portable skill modules that can be integrated into modern agentic frameworks. The curriculum walks you through the fundamentals of custom tool calling, context engineering, and injecting specialized domain expertise into your systems. You will learn how to equip your digital agents with practical capabilities like querying databases, leveraging Claude Code effectively, and making intelligent routing decisions based on dynamic user input. Designed for software engineers, AI developers, and tech innovators, this hands-on course ensures you walk away with the practical confidence to write robust, agentic code and build scalable AI systems.