| Bonus Resources.txt | 102.4 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ~Get Your Files Here ! | |||
| 1 - Introduction to AI Agents | |||
| 1. Introduction1.1 Introduction to AI, Generative AI & Agentic AI.mp4 | 78.9 MB | ||
| 2 - Core Concepts & Agent Lifecycle | |||
| 10. 2.6 Decision Making & Decision Trees.mp4 | 59 MB | ||
| 3 - Architectures & Design Patterns | |||
| 11. 3.1 Understanding AI Agent Architectures.mp4 | 128.6 MB | ||
| 12. 3.2 AI Agent Design Patterns.mp4 | 150.3 MB | ||
| 13. 3.3 ReAct Explained Visually.mp4 | 99.2 MB | ||
| 14. 3.4 Single Agents vs. Multi-Agent Systems (With Practical Demos).mp4 | 106.5 MB | ||
| 15. 3.5 Calling an Ollama AI Model Through Python.mp4 | 77.7 MB | ||
| 4 - Prompt Engineering & Safety | |||
| 16. 4.1 Writing Effective Prompts (Hands-on Practical Demos).mp4 | 71.3 MB | ||
| 17. 4.2 Learning N-Shot Prompting Zero, One & Few-Shot (With Practical Examples).mp4 | 41.2 MB | ||
| 18. 4.3 Chain-of-Thought Prompting (With Practical Demos).mp4 | 71 MB | ||
| 19. 4.4 Prompt Optimization and Tool Use (With Practical Learning Examples).mp4 | 103.5 MB | ||
| 20. 4.5 AI Guardrails & Safety Evaluation.mp4 | 107.1 MB | ||
| 5 - Evaluation & Practical Relation | |||
| 0. 5.1 AI and Stages of Evaluation.mp4 | 201.7 MB | ||
| 21. 5.2 Your Relation With AI (With Hands-on Practical Examples).mp4 | 84.8 MB | ||
| 5. 2.1 Understanding the AI Agent Lifecycle.mp4 | 35.6 MB | ||
| 6. 2.2 Memory, Planning & Decision Making in AI Agents.mp4 | 51.3 MB | ||
| 7. 2.3 Types of AI Agents.mp4 | 60 MB | ||
| 8. 2.4 Human-in-the-Loop AI Agents.mp4 | 48.8 MB | ||
| 9. 2.5 Building an Agent with Python.mp4 | 48.8 MB | ||
| 2. 1.2 AI Chatbots, Assistants, Agents & Workflows.mp4 | 37.7 MB | ||
| 3. 1.3 Real-World AI Agents Examples.mp4 | 53.6 MB | ||
| 4. 1.4 Mini Practical Building an AI Agent.mp4 | 30.3 MB |
Mastering AI Agents: Advanced Automation with Python & n8n
https://WebToolTip.com
Published 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
Build autonomous AI agents, master advanced prompt engineering, and automate workflows using Python, n8n, and Ollama.
What you'll learn
⚡ 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.
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