Become an AI Automation
Engineer in 6 Months
Build end-to-end automated workflows for real businesses, connect AI to the tools companies use, and charge $500–5k/mo delivering real ROI.
End-to-End AI Automation
Skills You'll Master
From Python foundations to production-ready agent systems — every skill needed to charge real rates and deliver measurable results.
Workflow Automation Foundations
Learn Make, n8n, and Zapier to build automated pipelines. Understand APIs, webhooks, and JSON — the backbone of every integration.
AI Integration & Prompt Engineering
Connect OpenAI and Anthropic APIs into real workflows. Master structured outputs, function calling, and cost-aware design.
CRM & Business Tool Automation
Automate lead gen, outreach sequencing, CRM updates, meeting transcripts, and content pipelines for measurable business impact.
AI Agents & Multi-Agent Systems
Build autonomous agents with LangChain and CrewAI. Design multi-step orchestration, tool routing, and human-in-the-loop systems.
Production Deployment & DevOps
Deploy workflows with FastAPI and Docker. Add logging, monitoring, prompt versioning, and security practices for live systems.
Client Acquisition & Pricing
Package your skills, write case studies, run outreach to SMBs and agencies, and move from one-off projects to monthly retainers.
Your 6-Month Learning Roadmap
A structured, project-based curriculum — build real things while you learn, every single month.
Get Your Foundation Right
- Python basics — functional, not senior-level
- How APIs work: HTTP, JSON, auth, webhooks
- No-code tools: Make, n8n, or Zapier — go deep on one
- Reading API docs and connecting two tools together
- Basic prompt engineering: inputs, outputs, instructions
- What LLMs are good at vs. what they're not
Automate something in your own life with Make or n8n
Master AI + Workflow Automation
- OpenAI / Anthropic API basics & structured outputs
- Embed AI into a workflow — not just ChatGPT manually
- Function/tool calling: how AI decides what to do
- Chaining: trigger → AI decision → action → output
- Error handling and fallback logic
- Cost awareness: tokens, API pricing, when AI is overkill
AI workflow: reads an email, classifies it, routes it automatically
Build the Core Automation Use Cases
- Lead generation: scraping, enrichment, outreach sequencing
- AI-powered cold outreach personalization at scale
- CRM automation: auto-update fields, log calls, create tasks
- Content pipelines: brief → draft → format → publish
- Meeting automation: transcript → summary → CRM entry
- Internal knowledge bots (Notion/Drive → Q&A interface)
Full lead gen → outreach → CRM pipeline for a real or fake client
AI Agents & Multi-Step Systems
- What agents actually are — and what they're not
- When to use agents vs. simple chains
- Tool selection and routing logic
- State management across multiple steps
- Human-in-the-loop checkpoints
- Multi-agent setups: when one agent hands off to another
Support agent that handles tier-1 tickets, escalates edge cases, logs everything
Make It Production-Ready & Sellable
- Deploy workflows: n8n self-hosted, Make teams, FastAPI
- Logging and observability — know when things break first
- Prompt versioning: no random changes to live systems
- Security: API keys, access control, no exposed credentials
- Rate limits, retries, and graceful downtime handling
- Document and hand off to non-technical clients
Take a Month 3–4 build and make it client-ready with docs and monitoring
Specialize, Get Clients, Start Charging
- Pick a direction: Freelance, In-house, or Agency
- Build 2–3 repeatable workflow templates
- Write a simple case study for each
- Outreach to SMBs, agencies, coaches, SaaS founders
- Charge $500–2k/project, then move to retainers
- Niche down: real estate, e-commerce, recruiting
Land your first paying client and deliver measurable ROI
From Zero to AI Engineer in Days
A clear, proven onboarding so you're building from day one.
Discovery Call
We map your current skills, goals, time availability, and target direction — freelance, in-house, or agency.
Custom Learning Plan
We tailor the roadmap to your pace and industry focus — real estate, e-commerce, SaaS, or general SMB automation.
Build & Deploy Projects
Hands-on monthly projects with code reviews, feedback, and real deliverables you can show potential clients.
Land & Retain Clients
Go live with a portfolio, outreach templates, pricing strategy, and a support network that keeps you growing.
Three Career Directions
Pick one at Month 6 and go all in on outreach and portfolio.
Freelance Automation Builder
Build repeatable workflow templates, create case studies, and charge per-project then move to monthly retainers.
- 2–3 repeatable workflow templates
- A simple case study for each
- Outreach to SMBs, agencies, coaches
- $500–2k/project → retainers
In-House Automation Engineer
Work inside one company, connect AI to their existing stack, and show measurable time and cost savings.
- Ops and internal tooling use cases
- Connect AI to Slack, Notion, HubSpot
- Build internal agents & dashboards
- Show measurable time/cost savings
AI Automation Agency
Build a repeatable service, niche by industry, and productize workflows into templates you sell or license.
- Repeatable service with clear deliverables
- Hire or partner to fulfill
- Niche: real estate, e-commerce, recruiting
- Productize into sellable templates
Common Questions
No. Month 1 covers functional Python — just enough to read, write, and debug scripts. You don't need to be a senior developer. No-code tools like Make and n8n handle most workflows without deep coding.
Expect 10–15 hours per week to stay on the 6-month timeline. The curriculum is project-based, so actual building time matters more than passive watching. You can adjust pace based on your schedule.
Yes — if you build real projects and do outreach. $500–2k for initial projects is realistic by Month 5–6. Monthly retainers in the $1k–5k range come after you've delivered results for 1–2 clients and have a track record.
OpenAI GPT-4, Anthropic Claude, LangChain, CrewAI, AutoGen, LangGraph, Make, n8n, FastAPI, and more. We take a vendor-agnostic approach so you're not locked into one ecosystem.
Yes. Every package includes a support period. Professional and Enterprise plans include ongoing access to community, resources, and mentors. We keep you updated as the AI landscape evolves.
Ready to Deploy Your
AI Automation Career?
Book a free consultation. We'll map your requirements and have your roadmap live within days.
