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

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AI Agents · Online Course

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

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.

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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About the Creator

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 intimidating terminology and replace it with step-by-step code demonstrations, visual workflow maps, and clear business logic. Whether helping non-technical professionals leverage Microsoft Copilot or enabling developers to engineer powerful Python-based RAG pipelines, his ultimate goal is to foster digital self-reliance and practical technical fluency in an rapidly evolving AI ecosystem. Through a curriculum that spans from local PC setups to enterprise-level API automation, Arnold empowers individuals to design, customize, and deploy AI solutions that solve actual, daily challenges instead of just discussing theoretical potentials.

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