Agent Skills from Scratch

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AI Agents · Online Course

Agent Skills from Scratch Reviews & Product Details

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.

Best For

Software developers looking to move beyond simple LLM prompting into autonomous agentic workflows. Engineers aiming to build modular, reusable toolkits for modern AI agent frameworks. Tech professionals wanting to integrate real-world API execution and database interaction into AI systems.

Not For

Individuals with zero programming experience or knowledge of basic API integration. Product managers or non-technical stakeholders seeking high-level theory without writing code. Data scientists focused exclusively on model training or fine-tuning rather than agentic application development.

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About the Creator

Eden Marco

Eden Marco 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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