Agentic AI Bootcamp: AI Agents with Python, n8n, MCP & RAG (Udemy.com)
Full Stack AI Engineering: OpenAI SDK, CrewAI, Pydantic AI, LangChain, React, Node.js, AutoGen, Voice & Local Automation
Created by: Arnold Oberleiter
Last updated July 2026
What you will 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.
Course Description
Stop watching AI happen and Start building it.
You’ve seen what AI can do. But how do you go beyond simple prompts to build autonomous agents, scalable automations, and real business applications?
This course is the ultimate masterclass for AI Automation and AI Agents. It bridges the gap between Low-Code (n8n, Flowise) and Pro-Code (Python, Pydantic AI, Cursor), giving you the complete skillset to dominate the AI landscape in 2026.
From building local RAG systems that run on your laptop to deploying enterprise-grade Voice Agents and mastering the Model Context Protocol (MCP)—this course covers it all.
Whether you are a developer, an entrepreneur, or an automation enthusiast, you will learn how to orchestrate LLMs (like DeepSeek, GPT, Claude, Gemini) to do real work for you.
What You’ll Get:
Hands-on Projects: Build Deep Research Agents, Voice Avatars, Marketing Bots, and Lead Gen Systems & more.
Downloadable Resources: Access ready-to-use JSON workflows, Python code repositories, and System Prompts to fast-track your implementation.
Dual-Track Learning: Learn both the visual way (n8n, Flowise) and the coding way (Python, Next.js).
What You’ll Learn in This Course:
Foundations: LLMs, Setup & "Vibe Coding"
Start strong with the essential tools of the trade.
Cursor Crash Course: Master the AI code editor that writes software for you ("Vibe Coding").
AI Fundamentals: Deep dive into LLMs, Tokens, Function Calling, and "Reasoning Models" like DeepSeek R1, GPT 5.2 Thinking and OpenAI o3.
Full Stack Setup: Install Python, pip, uv, Node.js, Git, and Docker correctly to prepare your machine for AI development.
OpenAI Agent Ecosystem & Web Apps
Build official agents using the latest OpenAI tools and OpenAI Agent SDK.
OpenAI AgentKit & Agent Builder: Create agents with state variables, guardrails, and internet access.
Next.js & React Integration: Build your own Chat UI (ChatKit) and deploy custom widgets to websites.
Deep Research Agent: Build a complex agent capable of scouring the web and synthesizing reports.
Python AI Agents with Pydantic AI
Step into professional AI engineering with code.
Pydantic AI Framework: Build type-safe, robust agents using Python.
Gradio Interfaces: Create user-friendly web interfaces for your Python scripts.
Code & Deploy: Learn to publish your projects on GitHub and share them with the world.
Local AI & RAG (Privacy-First)
Run AI entirely on your own hardware—no API bills, full privacy.
Local Stack: Master Ollama, Docker, and Flowise for offline AI.
Advanced RAG (Retrieval-Augmented Generation): Set up Postgres Vector Databases, manage embeddings, and optimize chunking strategies.
LangChain & LangGraph: Understand the architecture behind modern AI chains.
Mastering Flowise: Visual AI Agents
Create powerful chatbots without writing code.
API-Powered Agents: Connect LLMs to real-world tools via API integrations.
Custom Chatbots: Build, brand, and embed RAG chatbots into WordPress and custom websites.
Sentiment Analysis: Automate customer support routing based on user emotion.
AI Automation with n8n (Low-Code)
The heart of business automation—connect everything.
n8n Fundamentals & SQL: Master the interface, variables, and connect to Supabase databases.
Advanced Workflows: Build Telegram Bots, Multi-Agent Systems, and orchestrator patterns.
Web Scraping & HTML: Turn any website content into a knowledge base for your agents.
Self-Hosting: Learn to host n8n on your own servers to save costs.
MCP: The Model Context Protocol
Learn the hottest technology in AI integration.
MCP Explained: Connect Claude Desktop, Cursor, and ChatGPT to your local tools and files.
Build Custom MCP Servers: Create your own servers in Python and n8n.
Cross-Platform Tools: Use MCP to give your agents access to Slack, GitHub, and database tools seamlessly.
Voice Agents & AI Avatars
Give your AI a voice and a face.
LiveKit & Python: Build real-time, conversational voice agents.
Telephony Integration: Connect Vapi and ElevenLabs to phone numbers for inbound/outbound calls (e.g., restaurant booking bots).
AI Avatars: Create interactive visual agents that speak to users.
Generative AI & Image Automation
Automate creativity with diffusion models.
ComfyUI Masterclass: Build complex image and video generation workflows.
Flux, Z-Image & SDXL: Run state-of-the-art image models locally.
Agentic Design: Trigger image generation automatically via n8n agents.
Building a Business & Security
Turn your skills into a profitable agency and stay safe.
Agency Blueprint: How to price, package, and sell AI services to clients.
Lead Generation: Strategies for cold outreach and social media content.
AI Security & Law: Understand GDPR, the EU AI Act, Prompt Injection, and Jailbreaking protection.
Become an Expert in the Future of Tech!
By the end of this course, you won't just understand the theory—you will have a portfolio of working agents, a deep understanding of n8n, Python, and MCP, and the business knowledge to monetize your skills.
Sign up now and start building the future!
Instructor Details
- 4.6 Rating
352 Reviews
Arnold Oberleiter
English text below the German text!
Hallo zusammen,
Ich bin Arnold "Arnie" Oberleiter, Dozent im Bereich Künstliche Intelligenz.
Es ist mein Ziel, mein Wissen und meine Begeisterung für KI mit euch zu teilen.
Ich glaube fest daran, dass ein tiefes Verständnis von KI einen enormen Vorteil in unserer technologiegetriebenen Welt bietet. Ich befasse mich mit LLMs (die Technologie hinter ChatGPT) bereits seit 2018-2019, als es mit Transformer & DIffusion losging.
Arnie
English:
Hi everyone,
I’m Arnold “Arnie” Oberleiter, an instructor in the field of artificial intelligence.
My goal is to share my knowledge and enthusiasm for AI with you.
I strongly believe that a deep understanding of AI offers a huge advantage in our technology-driven world. I’ve been working with LLMs — the technology behind ChatGPT — since 2018–2019, back when Transformers and diffusion models started taking off.
Arnie
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Reviews
By Pavol Malenky on 9/4/2026
Many thanks for this course! What I’ve learned here is helping me build useful AI tools for our small company—to better serve our clients and website visitors, and to create text and images using our own data. I’m really glad I found it. The most frustrating part is how quickly the AI landscape changes. Sometimes I need to pause a lesson to understand why an interface looks different, a feature has moved, or a service is being discontinued. This isn’t a criticism of the course; it’s simply the challenge of learning in a field that evolves in weeks rather than years. Despite these challenges, I’m very happy with the course and grateful for the knowledge and inspiration it has given me.
By Wen on 5/4/2026
I wish there were non auto generate captions. He speaks clearly but there are a few words here and there I need to go back to and listen again.
By Toby Fan on 5/4/2026
I really wanted to give it a 5, it's very thorough and well thought out. However, it would be so much better if he showed a demo or actually showed what we were building (tangibly) and why we're doing it - before he got into the step by step weeds. there are a lot of steps (and a lot of tangents) understandably so it's so tedious wondering what's next and what the end goal looks like, constantly in the trees wondering what the forest looks like. Feels way rigidly sequential, rather than mirroring what a result-oriented person might actually want (fast, efficient, flexible in where and how to learn). Overall though good
By Udemy User on 4/5/2026
The course? Very demure, very cutesy, very engaging ///// definitely not boring, and truly insightful! If that’s what you’re looking for, this is perfect.
By Michael Olson on 4/2/2026
Absolutely amazed by the amount of AI content Arnie has generated. Just hope to grok enough of it to identify and build some useful applications for myself and implement in part through my Voxhead 'Socrates' bot. It's a new compute intelligence revolution going on now moving at warp speed. Try not to be left behind. Now if Arnie would add robot development tools & insights? Wow!
By Tia C on 3/23/2026
No matter how much you think you know, there'll always be something new to learn from this guy's courses. Plus he makes them engaging and humorous.
By Hoang Duy Nam on 2/11/2026
Not very professional. I was quite surprised that the instructor used the Pen tool to explain concepts, but the drawings and writing were unclear and messy.
By Satish Nandi on 2/5/2026
Arnie seems truly passionate about teaching. Also I feel the course is a value for the content that is purposed. I would be interested in learning more about his work and business. Seems like he is also interested in financial markets like me and it would be a treat exchanging ideas.
By Steven Johnston on 2/2/2026
The whole course was very entertaining, well-explained, and offered great insight. Thank you, Arnie. Is not the first course of yours I have purchased? And I'm sure it won't be the last one. See you again soon, my friend.
By Irina Holler on 1/13/2026
I’m genuinely thrilled I came across this instructor’s courses. This one made me feel excited to learn again, and I finally understand what’s going on, and not just what to do, but why it works. There’s a bit more theory, but in the best way: it builds real understanding and confidence. Huge thank you! P.S. And when I finish this course, I’ll very likely join another one.
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 92 / 100






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