Track 2: AI ImplementationIntermediate LevelSkill 2 of 3

AI Automation & Workflow Engineering

Design and implement intelligent automation workflows that transform business processes

3 weeks Duration
12-15 hours/week
Multiple Projects

Prerequisites

Required Background

Track 1 completion or equivalent AI literacy

  • Commitment to 12-15 hours/week of study and practice
  • Strong foundation in previous track skills
  • Access to necessary tools and platforms

Learning Outcomes

Upon successful completion of this course, you will be able to:

1

Design end-to-end automation workflows using Zapier, Make, and n8n

2

Integrate AI capabilities into automation sequences

3

Build intelligent triggers and conditional logic

4

Automate data processing and transformation tasks

5

Create multi-step workflows connecting multiple tools and services

6

Monitor and optimize automation performance

Content Outline

Week 5: Automation Fundamentals & Platform Mastery
Week 5
  • Introduction to automation: When and why to automate
  • Zapier fundamentals: Triggers, actions, and filters
  • Make (Integromat): Visual workflow design and advanced logic
  • n8n: Open-source automation for complex workflows
  • Choosing the right platform for different automation needs
  • Project: Automate a personal productivity workflow
Week 6: AI-Powered Workflow Design
Week 6
  • Incorporating AI into automation: Use cases and patterns
  • AI content generation in workflows: Automated writing and summarization
  • AI decision-making: Classification, routing, and intelligent filtering
  • Multi-step AI workflows: Chaining AI operations
  • Error handling and fallback strategies in AI automation
  • Project: Build an AI-powered content curation and distribution system
Week 7: Advanced Automation & AI Agents
Week 7
  • Creating AI agents: Autonomous task completion
  • Workflow optimization: Reducing steps and improving efficiency
  • Scheduling and triggering: Time-based and event-based automation
  • Monitoring and logging: Tracking automation performance
  • Cost management: Optimizing API usage and automation runs
  • Project: Design and implement an AI customer service automation

Ready to Master AI Automation & Workflow Engineering?

Join the I-Gamify AI Academy and advance your AI expertise. This course is part of Track 2: AI Implementation.