AI Automation Full Course: 18 Days from Basics to Agents

AI automation, laid out as a path rather than a pile of tutorials — eighteen days, each one a lesson and a hands-on exercise. The problem with learning this field is that everything connects to everything: you can't build an agent without understanding APIs, can't use RAG without knowing why embeddings matter, can't ship anything without error handling.
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⏱️ Chapters:
0:00:00 Day 1: AI Automation Fundamentals
0:08:07 Hands-On: Map Your First Automation Opportunity
0:10:12 Day 2: Automation Thinking
0:20:10 Hands-On: Convert a Manual Process into a Workflow Map
0:22:06 Day 3: APIs and Webhooks Basics
0:31:58 Hands-On: Make Your First API Call and Trigger a Webhook
0:33:35 Day 4: No-Code Automation Platforms
0:42:57 Hands-On: Build a Simple Cross-App Workflow
0:44:35 Day 5: Build Your First Automation
0:53:02 Project: Form Submission to Data Capture to Notification
0:55:05 Day 6: Data Handling in Automations
1:04:10 Hands-On: Create a Structured Data Transformation Workflow
1:06:05 Day 7: Logic and Error Handling
1:15:04 Hands-On: Add Error Handling to Your Workflow
1:16:44 Day 8: AI Model Basics
1:25:56 Hands-On: Test Prompts Across Models
1:27:44 Day 9: Using AI Inside Automations
1:35:53 Project: Build an AI-Powered Classification Workflow
1:37:39 Day 10: Prompt Design for Automation
1:46:00 Hands-On: Convert Messy AI Output into Structured Data
1:47:49 Day 11: Text-Based Task Automation
1:56:16 Hands-On: AI Email Reply Generator
1:58:08 Day 12: Knowledge Automation (RAG Basics)
2:06:41 Hands-On: Build a Simple Document Q&A System
2:08:58 Day 13: AI Agents Basics
2:17:40 Hands-On: Create a Simple Task-Executing Agent
2:19:22 Day 14: Business Use Case Automation
2:27:40 Project: AI-Powered Support Triage System
2:29:26 Day 15: Sales and Marketing Automation
2:38:07 Hands-On: AI-Powered Outbound Campaign Builder
2:39:54 Day 16: Operations Automation
2:48:29 Hands-On: Build an Internal AI Ops Bot
2:51:58 Day 17: Monitoring and Optimization
3:00:10 Hands-On: Add Logging and Performance Tracking
3:02:10 Day 18: Build and Ship Your System
3:10:22 Capstone: Build a Complete AI Automation System
No prior AI experience needed — it starts from fundamentals. Basic comfort with web applications is enough, and familiarity with spreadsheets helps but isn't required.
📌 On scope: each day is around ten minutes, which is enough to understand a concept and complete a guided exercise — not enough to become an expert in RAG or agent architecture. Treat this as the map: it shows you how the pieces connect and what to go deeper on. The individual topics each have a full course of their own on this channel.
💰 On costs: the exercises involve API calls and automation platform accounts. Most platforms have free tiers that cover learning, but model API usage is billed per request. Set a spending limit before you start building, especially around the RAG and agent sections where a loop can run up calls quickly.
ℹ️ Parts of this course were produced with AI assistance.
ℹ️ This course is independent and is not affiliated with, endorsed by, or sponsored by any platform or tool mentioned. For educational purposes only, and not business advice.
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