Udemy - AI Automation Mastery in 18 Days

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Udemy - AI Automation Mastery in 18 Days (Size: 2.6 GB)
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
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  1 - Foundations of Automation Thinking
  1. Day 1 – AI Automation Fundamentals.mp4 141.1 MB
  2 - No-Code Workflow Building
  3 - AI Model Integration
  10. Day 10 – Prompt Design for Automation.mp4 151.2 MB
  4 - Knowledge & Text Automation
  11. Day 11 – Text-Based Task Automation.mp4 141.2 MB
  12. Day 12 – Knowledge Automation (RAG Basics).mp4 139.6 MB
  5 - AI Agents & Business Automation
  13. Day 13 – AI Agents Basics.mp4 143.8 MB
  14. Day 14 – Business Use Case Automation.mp4 144.4 MB
  15. Day 15 – Sales & Marketing Automation.mp4 136.6 MB
  6 - Operations & Production Systems
  16. Day 16 – Operations Automation.mp4 142.9 MB
  17. Day 17 – Monitoring & Optimization.mp4 120.2 MB
  18. Day 18 – Build & Ship Your System.mp4 131.3 MB
  8. Day 8 – AI Model Basics.mp4 162.2 MB
  9. Day 9 – Using AI Inside Automations.mp4 144.3 MB
  4. Day 4 – No-Code Automation Platforms.mp4 152.3 MB
  5. Day 5 – Build Your First Automation.mp4 144.4 MB
  6. Day 6 – Data Handling in Automations.mp4 161.8 MB
  7. Day 7 – Logic & Error Handling.mp4 172.9 MB
  2. Day 2 – Automation Thinking.mp4 160.9 MB
  3. Day 3 – APIs & Webhooks Basics.mp4 147.9 MB

Description


AI Automation Mastery in 18 Days

https://WebToolTip.com

Published 2/2026
Created by School of AI
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 18 Lectures ( 2h 37m ) | Size: 2.6 GB

Build real AI-powered automations, workflows, and agents — from APIs to RAG to full production systems.

What you'll learn
✓ Design and build end-to-end AI-powered automation systems from trigger to production deployment
✓ Integrate LLMs (Large Language Models) into workflows using APIs, structured prompts, and JSON outputs
✓ Implement Retrieval-Augmented Generation (RAG) using embeddings and vector databases for knowledge-based AI systems
✓ Develop and deploy AI agents capable of multi-step reasoning and tool usage with proper guardrails
✓ Create intelligent business automation workflows for sales, support, operations, and KPI monitoring
✓ Apply error handling, monitoring, logging, and cost optimization techniques for production-grade reliability
✓ Distinguish between deterministic workflows and autonomous agents, and choose the right architecture for a given use case
✓ Ship a complete, production-ready AI automation system with governance, oversight, and measurable performance metrics

Requirements
● No prior AI experience required — this course starts from fundamentals and builds step-by-step
● Basic computer literacy (comfortable using web applications and online tools)
● Familiarity with spreadsheets or simple digital tools is helpful but not mandatory
● An interest in automation, AI systems, or improving business workflows
● A laptop or desktop computer with reliable internet access
● Willingness to experiment, test workflows, and learn by building

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