Mastering AI Agents Advanced Automation with Python & n8nPublished 9/2026
Created by ARAS MAHMOOD MOHAMMED
MP4 |
Video: h264, 1920x1080 |
Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner |
Genre: eLearning |
Language: English |
Duration: 22 Lectures ( 2h 27m ) |
Size: 1.8 GB
⚡ Understand the core lifecycle, architectures, and design patterns of AI agents, including memory and decision-making.
⚡ Build and deploy custom AI agents using Python and integrate them with local models like Ollama.
⚡ Master advanced prompt engineering techniques such as ReAct, N-Shot, and Chain-of-Thought prompting.
⚡ Design and automate scalable single and multi-agent workflows using Python and n8n.
⚡ Implement AI guardrails and safety evaluations to ensure reliable human-in-the-loop systems.
⚡ Transition from basic AI chatbots to fully autonomous, practical agentic workflows for real-world tasks.
Requirements❗ Basic understanding of Python programming is recommended to follow along with the coding exercises.
❗ No prior experience with n8n, AI agents, or advanced prompt engineering is required; we cover everything from scratch.
❗ A computer with an internet connection to install and run Python, n8n, and local AI models like Ollama.
❗ A strong curiosity and desire to learn about automation and artificial intelligence.
DescriptionThis course contains the use of artificial intelligence.
Are you ready to move beyond basic chatbots and step into the future of Artificial Intelligence?Welcome to
Mastering AI Agents: Advanced Automation with Python & n8n, the definitive guide to building intelligent, autonomous systems that can think, plan, and execute tasks in the real world.
In this comprehensive bootcamp, you will learn the core lifecycle of AI agents, exploring how they use memory, decision trees, and planning to solve complex problems. We will dive deep into the architecture and design patterns of single and multi-agent systems, giving you the hands-on skills needed to build your own custom agents from scratch.
What sets this course apart is its heavy focus on practical applications. You won't just learn theory; you will build real-world AI agents using Python and n8n. We will explore advanced prompt engineering techniques, including Zero-Shot, Few-Shot, Chain-of-Thought, and the highly effective ReAct framework. Furthermore, you will learn how to run and call local AI models like Ollama directly through Python, ensuring you have complete control over your AI workflows without relying entirely on expensive cloud APIs.
We will also cover crucial aspects of AI safety, guardrails, and Human-in-the-Loop systems, ensuring the agents you build are reliable, secure, and ready for production.
By the end of this course, you will be able to✨ Design and deploy autonomous AI agents.
✨ Automate complex workflows seamlessly using Python and n8n.
✨ Master advanced prompt engineering techniques.
✨ Implement AI safety guardrails and evaluation stages.
Whether you are a developer, an automation enthusiast, or a tech entrepreneur, this course will equip you with the cutting-edge skills to harness the true power of Agentic AI.
Enroll today and start building the next generation of AI automation!Who this course is for⭐ Python developers looking to upgrade their skills by building intelligent, autonomous AI agents.
⭐ Automation enthusiasts and professionals who want to integrate AI capabilities into n8n workflows.
⭐ Tech entrepreneurs and innovators wanting to leverage AI systems for real-world, practical tasks.
⭐ Anyone curious about Generative AI who wants to move beyond simple chatbots to advanced agentic automation.
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