Eden Marco

Agentic AI Internals: Build an Agent from Scratch

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AI Agents · Online Course

Agentic AI Internals: Build an Agent from Scratch Reviews & Product Details

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.

Best For

Software engineers who want to understand LangChain internals beyond the surface level Developers looking to build autonomous, production-ready AI agents from scratch Engineers transitioning into AI/ML roles who need a strong foundation in RAG and vector databases Technically-minded learners who prefer reading code over relying on high-level abstractions

Not For

Absolute beginners with no prior programming experience Individuals seeking a 'no-code' or 'low-code' approach to building AI tools Data scientists focused purely on statistical modeling rather than agentic application architecture

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About the Creator

is an accomplished software engineer, LLM developer, and technical educator dedicated to demystifying the rapidly evolving world of artificial intelligence and agentic workflows. With a deep focus on practical, production-ready engineering, Eden has helped thousands of developers worldwide bridge the gap between theoretical AI concepts and real-world implementation. His courses, including LangChain- Agentic AI Engineering with LangChain & LangGraph and Agentic AI Internals: Build an Agent from Scratch, reflect his core teaching philosophy: the best way to master modern AI is to build it from the ground up. Eden specializes in teaching complex frameworks like LangChain and LangGraph by breaking down their inner workings, enabling students to understand what happens under the hood of LLM-powered applications. He focuses heavily on hands-on, project-based learning, clean software architecture, and modern development tools like Claude Code. Rather than relying on superficial tutorials, Eden structures his curriculum around building robust, reliable, and production-grade agents. His instructional style is clear, engaging, and highly developer-focused, making him a trusted guide for software engineers aiming to pivot into generative AI engineering.

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