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    RAG Agents: Build Apps & GPTs with APIs/MCP, LangChain & n8n

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    AI Agents · Online Course

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    In this comprehensive program led by Arnold Oberleiter, learners dive deep into the world of AI Agents and Retrieval-Augmented Generation (RAG) using modern frameworks. The course bridges the gap between theoretical AI models and practical, real-world deployment. You will master cutting-edge automation tools like n8n and Flowise, alongside robust development frameworks such as LangChain and LangGraph. The syllabus systematically covers how to connect LLMs like ChatGPT, Claude, Gemini, and DeepSeek to various data sources, including PDFs, web scrapers, and databases. Additionally, you will explore local AI setups with Ollama and AnythingLLM, and implement the newly prominent Model Context Protocol (MCP) for seamless tool integration. This course is ideal for developers, automation specialists, and tech-savvy professionals aiming to build custom GPTs, intelligent chatbots, and multi-agent systems that solve complex business tasks. By addressing security, GDPR compliance, and legal frameworks, the curriculum ensures that your deployed AI solutions are both highly effective and enterprise-ready. Through hands-on projects, you will learn to connect APIs, configure vector databases like Pinecone, and optimize chunking and embedding strategies to prevent hallucinations and improve accuracy. Whether you want to build localized chatbots or scale automated workflows, this guide provides the foundational and advanced techniques required to succeed in the rapidly evolving AI landscape.

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    Arnold Oberleiter

    Industry

    AI

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    About the creator

    Arnold Oberleiter

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    Arnold Oberleiter is a technical educator and developer specializing in cutting-edge AI technologies, autonomous agents, and practical automation tools. His instructional style bridges the gap between complex theoretical concepts and direct, hands-on application. He specializes in breaking down advanced paradigms—such as LLMs (ChatGPT, Gemini, Claude), local deployment of diffusion models, agentic workflows with n8n and LangChain, and integrating AI into daily productivity, investing, and development. By focusing on real-world utility, Arnold guides his students through building tangible local AI architectures, securing autonomous agent installations, and implementing API integrations. He teaches with a pragmatic, project-driven approach, designed to strip away the…Show more

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    Program Overview

    Online Course

    Learning format

    AI Agents

    Subcategory

    $19.99 (list $9.99)

    Price

    Price may change · updated within 1–2 weeks

    English

    Course language

    What You'll Learn

    • Introduction to RAG workflows & tools like Google’s NotebookLM with essential tips
    • LLM fundamentals & RAG technologies: ChatGPT, Claude, Gemini, Deepseek, Llama, Mistral, xAI, Grok, Function Calling, vector databases, embeddings & chunking
    • ChatGPT basics & model management: interface, models, settings, GPTs, OpenAI Playground & test‑time compute
    • Building RAG chatbots with Custom GPTs: data preparation from PDFs, HTML webpages, YouTube videos, CSV data sources & writing‑style adaptation
    • Open‑source RAG with Ollama & AnythingLLM: installation, models, optimizing chunking & embeddings & creating a local bot
    • Agent capabilities & multi‑LLM integration: system prompts, temperature control, web search, scraping & AI‑agent features with Flowise/LangGraph
    • OpenAI API & Flowise for RAG agents: pricing, project setup, GDPR compliance, Playground vs. Response API, Node.js installation, Marketplace & OpenAI Assistant
    • Advanced Flowise workflows: web scraping, embeddings, vector databases, HTML splitter, JSON import/export & tool agents (email, calendar, Airtable, webhooks)
    • Custom chatbot UI & self‑hosting: frontend development, Ollama & LangChain, hosting on Render, Replit branding, WordPress integration & Flowise configuration
    • RAG agents with n8n: local installation, interface, triggers/actions, Pinecone automation via Google Drive, workflows & AI‑agent node
    • Combining & marketing Flowise & n8n: RAG lead‑bots, website integration, CSS branding, sales, marketing, customer acquisition & offer strategies
    • Special RAG strategies: n8n MCPs with Claude Desktop, webhooks, GPT Actions, cache‑augmented generation, GraphRAG, LightRAG & contextual retrieval
    • Security, data protection & legal framework: jailbreaks, prompt injections, data poisoning, censorship, GDPR basics, EU AI Act & copyright
    • Strategies of leading AI providers & comparison: OpenAI, Anthropic, Microsoft, Google xAI, Meta’s LlaMA, Deepseek, Mistral & others

    Best For

    • Software developers looking to integrate LLMs into production-ready business applications.
    • Automation specialists wanting to bridge the gap between AI agents and external data sources using n8n and LangChain.
    • Tech-savvy professionals who want to deploy private, local AI solutions using Ollama and anythingLLM.
    • Consultants building custom GPTs or automated customer service solutions for clients.
    • Engineers interested in mastering the Model Context Protocol (MCP) and modern vector database architectures.

    Not For

    • Absolute beginners with no interest in programming concepts, APIs, or data architecture.
    • Individuals seeking a purely theoretical course on AI ethics without hands-on implementation.
    • Developers looking for an introductory course exclusively focused on basic Python scripting without AI context.
    • Those who only want to use off-the-shelf SaaS chatbot builders without learning the underlying orchestration frameworks.

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