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Module 6

AI Automation & No-Code

Build systems that generate value while you sleep

AI Automation & No-Code animated lesson visual

Lessons

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6.1

Automation Architecture Thinking

Locked35 min

6.2

Make.com Deep Dive

Locked90 min

6.3

Zapier AI Workflows

Locked75 min

6.4

n8n: The Self-Hosted Powerhouse

Locked90 min

6.5

AI Customer Service Automation

Locked70 min

6.6

Document & Data Automation

Locked55 min

6.7

AI + CRM Automation

Locked60 min

Expert Lens

Founder

Think like a founder: what user pain, distribution channel, pricing, and retention loop does this AI capability unlock?

Systems

Think like a first-principles systems builder: separate demos from durable products, and measure the bottleneck the model actually removes.

Infrastructure

Think like an AI infrastructure leader: account for data, latency, cost, reliability, evaluation, and deployment constraints before scaling.

Objectives

  • Build complex multi-step automations confidently
  • Connect AI to hundreds of apps
  • Create autonomous business systems
  • Design workflows that replace manual labor

Capstone

Autonomous Business Unit

Build a complete automated function: lead capture, AI qualification, nurturing, support, and weekly reporting with AI at every step.

A running automation with documented ROI replacing 10+ hours of manual work weekly.

Real Examples

  • Ship a no-code lead qualification assistant before investing in custom infrastructure.
  • Automate internal reporting with Zapier/Make first, then replace brittle steps with code once usage proves value.
  • Route support requests, enrich records, draft responses, and keep human approval before customer-facing actions.

Mastery Checks

  • Explain the core concept without buzzwords.
  • Build a small working artifact, not just a note or prompt.
  • Define an evaluation rubric and test against at least five edge cases.
  • Estimate operational cost, failure modes, and human review requirements.

Resources

Back to catalog
OpenAI Prompt Engineering GuideOpenAI

Use as the baseline for practical prompting, context design, and structured task instructions.

Anthropic Prompt EngineeringAnthropic

Compare prompting guidance across model families and learn how to evaluate behavior, not just single outputs.

Hugging Face CourseHugging Face

Use this for model, dataset, transformer, and open-source deployment fundamentals.