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Unclaimed ProfileThis comprehensive program from Ligency empowers aspiring AI builders, product managers, and automation enthusiasts to master the cutting-edge landscape of autonomous agents using n8n v2.0. By bridging the gap between low-code ease and enterprise-grade capability, the course provides a practical, step-by-step framework to design, deploy, and scale intelligent workflows. Learners will dive deep into real-world projects, including building an autonomous financial agent that tracks market data and structures portfolios, crafting interactive voice agents using ElevenLabs and Twilio for real-time customer interactions, and engineering multi-agent systems driven by the Model Context Protocol (MCP) and FireCrawl for automated lead generation. Additionally, the curriculum covers vital concepts like Agentic Retrieval Augmented Generation (RAG) with Supabase vector databases, webhook handling, and seamless LLM integration (OpenAI, Gemini, Anthropic). Perfect for those looking to eliminate repetitive administrative tasks and build robust AI systems without extensive coding, this course serves as the ultimate launchpad into the future of business automation and intelligent agent design.
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Ligency
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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
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Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- PROJECT 1: Build an autonomous financial agent that monitors MarketStack prices and rebalances Google Sheets portfolios using OpenAI logic.
- PROJECT 2: Deploy a conversational Voice Agent via ElevenLabs and Twilio that utilizes Supabase RAG for deep domain expertise.
- PROJECT 3: Construct a multi-agent Go-To-Market system using MCP and FireCrawl to scrape leads, enrich data, and schedule meetings.
- Build autonomous AI Agents using n8n that can plan, reason, and execute complex business workflows without writing a single line of code.
- Engineer real-time Voice Agents with ElevenLabs and Twilio that handle live phone calls, manage customer objections, and trigger business actions instantly.
- Implement Agentic RAG (Retrieval Augmented Generation) pipelines using Supabase vector stores to equip your agents with deep, proprietary knowledge of your busi
- Master n8n’s advanced capabilities including Webhooks, JSON data transformation, and Expressions to build enterprise-grade data pipes and integrations.
- Integrate LLMs (OpenAI, Gemini, Anthropic) with essential business tools like Google Sheets, Slack, Gmail, and Telegram to automate manual administrative tasks.
Best For
- Automation enthusiasts looking to master autonomous agent design without complex coding.
- Product managers wanting to prototype and deploy AI-driven business workflows.
- Small business owners seeking to automate customer support via voice agents.
- Developers who want to leverage n8n's low-code environment to build multi-agent systems.
Not For
- Experienced software engineers looking for a traditional programming or algorithm-heavy curriculum.
- Absolute beginners who have never used automation tools or basic workflow platforms before.
- Professionals seeking a theory-only course on AI ethics or history without practical application.
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