Skip to content
Program

AI Automation Engineer

Every company has workflows made of copy-paste, spreadsheets, and email. We train builders who turn those into reliable, monitored AI systems.

Apply for this programTuition (TBD)
Duration
16 weeks
Format
Live online + project studio
Commitment
12–18 hrs/week (part-time track available)
Level
Beginner friendly
Tuition
TBD
Next cohort
February 9, 2027
What you will do

The shape of the program.

  • Ship six production automations — from document intake to full agentic workflows.

  • Learn evaluation, guardrails, and cost control so your automations survive contact with reality.

  • Graduate ready to freelance, build internally, or launch your own automation practice.

By graduation you can

  • Map a business process and quantify automation ROI before writing code
  • Build retrieval-augmented systems over messy real-world documents
  • Design multi-step agents with tools, memory, and human-in-the-loop checkpoints
  • Evaluate outputs systematically instead of eyeballing them
  • Deploy, monitor, and cost-control automations in production

Tools & platforms

  • Python
  • OpenAI API
  • Claude API
  • LangGraph
  • n8n
  • Make
  • Pinecone
  • pgvector
  • FastAPI
  • Supabase
  • Airflow
  • Model Context Protocol

Certifications you will be ready for

  • AI Skool USA Automation Engineer
  • Microsoft AI-900
  • AWS AI Practitioner

Roles graduates target

  • AI Automation EngineerTBD
  • AI Solutions ConsultantTBD
  • Workflow / RevOps EngineerTBD
  • Independent automation consultantTBD

Roles our graduates target. Compensation data is not published here and no particular outcome is guaranteed.

Curriculum

16 weeks, four phases, one portfolio.

Each phase ends with a graded lab reviewed by an instructor. Nothing is auto-marked.

  1. Weeks 1–4

    Automation Foundations

    • Python for automation and API integration
    • Process mapping, ROI modelling, and scoping
    • Prompt engineering that survives production
    • No-code and low-code orchestration (n8n, Make, Zapier)

  2. Weeks 5–8

    Retrieval & Document Intelligence

    • Embeddings, vector stores, and hybrid search
    • Chunking strategies for contracts, invoices, and tickets
    • Structured extraction with schema validation
    • Evaluation harnesses and regression testing

  3. Weeks 9–13

    Agents & Tool Use

    • Tool calling, function schemas, and the MCP pattern
    • Multi-agent orchestration and task decomposition
    • Guardrails, approvals, and failure handling
    • Integrating CRMs, ticketing, email, and databases

  4. Weeks 14–16

    Production & Studio

    • Deployment, observability, and token cost control
    • Security and data-handling for AI systems
    • Client discovery, pricing, and proposals
    • Capstone: a live automation delivered to a real stakeholder
Other programs

Not quite the right fit?

Advisors regularly steer applicants toward a different track. Nobody benefits from you being in the wrong one.

Cybersecurity with AI

Defend real infrastructure with AI-assisted detection, threat hunting, and automated response.

View program

DevOps Engineering with AI

Ship reliable systems with infrastructure as code, CI/CD, Kubernetes, and AI-assisted operations.

View program
Compare all programs

Ready to start AI Automation Engineer?

The next cohort begins February 9, 2027. Applications take about ten minutes and there is no fee.

Apply for AdmissionTalk to an advisor

Tuition: TBD — pricing information available upon request at admissions@aiskool.us