Ligency ​

    AI Coder: Vibe Coder to Agentic Engineer in 3 Weeks

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    AI Agents · Online Course

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    This comprehensive program is designed to take developers, tech enthusiasts, and product creators from casual 'vibe coders' to elite agentic software engineers. Throughout the curriculum, participants transcend simple prompting to orchestrate advanced, autonomous AI developer agents. The course provides deep hands-on experience with industry-standard tools like Cursor, Claude Code, GitHub Copilot, and emerging frameworks like OpenClaw and the Model Context Protocol (MCP). Students master building complete, scalable applications without traditional manual coding bottlenecks, moving through four extensive real-world projects: a personalized AI digital twin website, an interactive Kanban project manager, a SaaS legal document assistant, and a live trading workstation capstone. Beyond individual tools, learners explore complex multi-agent architectures, sub-agents, swarms, and orchestrators that replicate entire engineering departments. By integrating these systems with modern development pipelines like Jira, GitHub, and specialized Ralph Loops, this course empowers anyone to deliver production-grade software at unprecedented speeds, transforming how engineering teams build in the AI era.

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    Ligency is a specialized team of AI engineers and educators dedicated to bridging the gap between theoretical machine learning concepts and practical, production-grade applications. With a focus on the rapidly evolving landscape of Large Language Models (LLMs), agents, and automation, Ligency has established itself as a premier technical resource for students aiming to transition from casual AI users to professional AI builders. Their pedagogical approach is deeply rooted in the philosophy of learning by doing, prioritizing hands-on implementation over passive observation. By demystifying complex technologies such as RAG (Retrieval-Augmented Generation), QLoRA, and agentic workflows, they provide a structured pathway for…Show more

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    Program Overview

    Online Course

    Learning format

    AI Agents

    Subcategory

    $39.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Project 1: A feature-rich personal website with an AI Digital Twin without writing a line of code
    • Project 2: A Kanban-based Project Management platform that you can chat with
    • Project 3: A SaaS legal assistant that drafts legal documents like consulting agreements with PDF download
    • Capstone Project 4: A realtime Trading Workstation with virtual trades in live market data, complete with an AI Assistant for trading and strategy
    • Accelerate delivery with advanced workflows like Ralph Loops, feature-dev, GSD, jira and GitHub integration
    • Massively amplify delivery with teams of agents working for you using Sub-agents, Swarms and Orchestrators, including Claude Agent Teams and Gas Town
    • Use Cursor, Copilot, Codex, Antigravity to build software with a tireless AI coworker at your side
    • Craft a precise AGENTS_md and CLAUDE_md with best practices to set up your project for success
    • Explore the other CLI Coding Agents including Codex, Open Code and Amp
    • Unlock advanced features of Agentic AI Coding with Skills, MCP, Hooks and Plugins
    • Explore the frontier with Claude Agent SDK, Cowork, OpenClaw

    Best For

    • Developers looking to transition from manual coding to AI-augmented engineering workflows
    • Product builders who want to launch production-ready SaaS applications without traditional development bottlenecks
    • Tech-savvy professionals aiming to leverage multi-agent architectures and autonomous code orchestrators
    • Individuals familiar with basic prompting who are ready to master advanced AI development tools like Cursor and MCP

    Not For

    • Complete beginners who have never touched a computer or fundamental software concepts
    • Traditional developers who are strictly opposed to using AI assistance in their build process
    • Learners seeking a theoretical computer science degree rather than practical, project-based engineering skills

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