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Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG

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AI Agents · Online Course

Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG Reviews & Product Details

The "Agentic AI Bootcamp" by Arnold Oberleiter stands as an exceptionally comprehensive guide for anyone looking to transition into full-stack AI engineering. Covering everything from high-level orchestrators to low-level Python coding, the course bridges the gap between traditional software development and autonomous agent design. Learners dive deep into Python-based frameworks like Pydantic AI, CrewAI, and AutoGen while simultaneously mastering low-code automation platforms like n8n. The curriculum stands out by introducing the cutting-edge Model Context Protocol (MCP), enabling students to connect tools like Claude Desktop and Cursor with external database structures and APIs. Beyond theory, the course provides intensive hands-on practice in Retrieval-Augmented Generation (RAG), vector databases such as Pinecone and Supabase, and real-time voice agents powered by LiveKit. This boot camp is ideal for software developers, IT architects, and tech consultants who want to deploy robust, secure, and GDPR-compliant AI agents locally or in the cloud, utilizing Docker, Ollama, Flowise, and Next.js frontends.

Best For

Software developers looking to transition into full-stack AI engineering. Tech consultants and IT architects aiming to deploy secure, autonomous AI agents. Automation engineers wanting to bridge low-code n8n workflows with custom Python agentic frameworks. Product builders who want to master RAG, vector databases, and real-time voice integration.

Not For

Absolute beginners with no experience in Python or basic programming logic. Learners seeking a high-level theory-only overview without hands-on coding or implementation. Those looking for a basic 'no-code only' course who are not interested in Python backend development. Individuals seeking basic prompt engineering tips rather than architectural system design.

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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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