Description
“Mastering AI Agents: Advanced Automation with Python & n8n” is a course on building intelligent workflows and advanced AI agents using Python and n8n, published by the online academy Udemy. If you wish to transform repetitive, complex tasks into reliable, automated systems, this course offers a clear path forward. You will learn to combine custom Python logic with visual workflow automation to build AI-driven systems capable of processing information, utilizing external tools, interacting with APIs, making decisions, and executing multi-step tasks. You will begin by exploring the lifecycle, architectures, and design patterns of AI agents—including the mechanics of memory and decision-making. This theoretical foundation helps you understand how an agent perceives its environment, selects actions, and why certain designs are more robust than others. Subsequently, you will build and deploy custom AI agents using Python and integrate them with local models such as Ollama.
You will also master advanced prompt engineering techniques—including ReAct, N-Shot, and Chain-of-Thought—to elicit more accurate responses and predictable behavior from your agents. Finally, you will design and automate scalable single-agent and multi-agent workflows using Python and n8n. In this section, you will explore agent architecture, tool integration, workflow orchestration, data processing, API connectivity, and automation triggers, while learning techniques to build more reliable and reusable workflows. Throughout the course, hands-on projects and real-world scenarios will help you integrate AI models into business processes and automate repetitive or complex tasks. Each concept is accompanied by examples, enabling you to immediately implement what you learn. This course is designed for beginners; by the end, you will have a clear understanding of how to build intelligent agents and workflows, and you will be able to design your own automation projects.
What you will learn in Mastering AI Agents: Advanced Automation with Python & n8n:
- 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.
- and …
Course specifications
Publisher: Udemy
Instructors: ARAS MAHMOOD MOHAMMED
Language: English
Level: Introductory to Advanced
Number of Lessons: 22
Duration: 2 hours and 27 minutes
Course topics
Mastering AI Agents: Advanced Automation with Python & n8n Prerequisites
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.
Pictures
Mastering AI Agents: Advanced Automation with Python & n8n introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
1.6 GB