Course Description

QUICK FACTS
Introduction to Agentic AI concepts: Agents vs. Chatbots vs. Basic Automation.
Core components of an AI agent: Trigger, LLM, Tools, Memory, and Human-in-the-loop.
Shifting mindset: Thinking in workflows instead of isolated tasks.
Identifying common agent failure patterns and how to avoid them.
Introduction to the no-code automation ecosystem.
Lab 1: Customer Support Ticket Triage Agent.
Lab 2: Internal Knowledge Assistant Agent.
Lab 3: Sales Lead Qualification Agent.
Lab 4: HR Resume Screening Agent.
Lab 5: Incident Reporting & Summary Agent.
Mastering error handling, logging, and decision branching in n8n.
Lab 6: Marketing Content Repurposing Agent.
Lab 7: Finance Invoice Processing Agent.
Lab 8: Meeting Notes & Action Item Agent.
Lab 9: Customer Feedback Analysis Agent.
Lab 10: Operations Daily Status Agent.
Designing visual multi-step workflows for high-complexity business logic.
Lab 11: AI Email Assistant for Executives.
Lab 12: Sales Follow-Up Agent.
Lab 13: HR Onboarding Agent.
Lab 14: Website Inquiry Auto-Responder Agent.
Lab 15: Personal Productivity Agent.
Techniques for lightweight automation and fast-tracking deployment.
Implementing guardrails for AI outputs and confidence scoring.
Designing human-in-the-loop approval workflows for high-stakes tasks.
Platform comparison: Choosing between n8n, Make, and Zapier for scalability.
Organizational rollout strategy and measuring Automation ROI.
Security, data privacy, and ethical AI deployment basics.
CAREER GROWTH
Climb the ladder of success with structured role progression.

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