Agent Skills from Scratch
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Unclaimed ProfileAgent 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.
About the creator
Eden Marco
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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…Show more
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Program Overview
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Learning format
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Price
Price may change · updated within 1–2 weeks
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What You'll Learn
- Master the fundamentals of agentic tool calling to design, write, and integrate custom APIs that expand your agent's execution capabilities.
- Implement advanced context engineering principles to ensure LLMs receive the precise metadata required for context-aware decision-making.
- Build portable and reusable skill modules that can be seamlessly plugged into diverse AI agent architectures and frameworks.
- Leverage Claude Code and modern developer environments to automate complex coding tasks, debug system faults, and accelerate software development workflows.
- Design robust error-handling and fallback mechanisms for agentic workflows to gracefully manage unexpected API failures and ambiguous user inputs.
- Establish reliable local testing and evaluation environments specifically tailored to benchmark and optimize agent behaviors before production deployment.
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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