MCP: Build Agents with Claude, Cursor, Flowise, Python & n8n

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 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.