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Unclaimed ProfileThe "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.
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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Learning format
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What You'll Learn
- Master AI Engineering & "Vibe Coding": Use Cursor, Python, Node.js, Git & GitHub to build software fast.
- Build Python AI Agents: Master Pydantic AI, Gradio Interfaces, Guardrails & Eval-Frameworks.
- Create OpenAI Agents: Use the OpenAI AgentKit, Agent Builder & integrate ChatKit into Next.js & React Apps.
- Develop Deep Research Agents: Build autonomous agents that search the web and synthesize complex reports.
- Master the MCP (Model Context Protocol): Connect Claude Desktop, Cursor & Antigravity with local files & tools.
- Build Custom MCP Servers: Create your own MCP tools using Python and n8n to control external APIs.
- Automate with n8n (Low-Code): Master Webhooks, HTTP Requests, Code Nodes, Merges, If Node, Loops & Error Handling.
- Advanced n8n Workflows: Build Multi-Agent Systems, Orchestrators, Telegram Bots & Self-Host n8n.
- Integrate Databases & SQL: Connect Supabase, Pinecone, Postgres & Vector Databases to your AI Agents.
- Local AI & Privacy: Run Ollama, DeepSeek, Qwen, Kimi, zAI & Llama models locally with Docker & Flowise.
- Master RAG (Retrieval-Augmented Generation): optimize Embeddings, Chunking, Tok-K, Temperature, Top-P Markdown & Vector Search.
- Build Visual Agents with Flowise: Create LangChain & LangGraph agents without coding & host them on Render.
- Develop Voice Agents: Build Real-Time AI Voice Assistants with Python, LiveKit, Vapi & ElevenLabs.
- Generative AI & Diffusion: Automate ComfyUI, Flux, Z-Image & SDXL for Image & Video Generation via n8n.
- Explore Agentic Frameworks: Understand AutoGen, CrewAI, Semantic Kernel, Open WebUI & Microsoft’s AI Stack.
- Build an AI Agency: Learn Pricing, Lead Generation, Sales Strategy & Niche Finding for AI Services.
- AI Security & Law: Master GDPR, EU AI Act Compliance, prevent Prompt Injection, Jailbreaks & Data Poisoning.
- Deploy & Host: Publish to GitHub, Host on Render, Deploy Next.js Apps & Manage Docker Containers.
- Master AI Web Development & Build Custom AI Frontends: Deploy custom AI Chatbots using Next.js, React, TypeScript, Vite & Tailwind CSS directly into websites
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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