🦞 Docker Basics for AI Engineers

30-min lesson · Certificate included · Beginner

$9 Enroll Now →
● Beginner 🐳 Course 4 ⏱ 30 min

Docker Basics
for AI Engineers:
Containers That
Actually Make Sense.

Docker is non-negotiable for production AI agents. But most Docker tutorials are built for web developers, not AI engineers. This course teaches Docker exactly as it applies to agent workloads — no wasted concepts, no irrelevant detours.

Containers vs VMs
Build Docker images
Volumes & persistence
Network agents together
Dockerize OpenClaw
Docker Compose
20Slides
30mDuration
1Full Build
Production Ready
🐳
20 slides
$9 $29 Launch Price

One-time · Lifetime access

Enroll in Docker Basics for AI Engineers →

🔒 30-day money-back guarantee

This course includes

📊 20 structured slides
🎬 Full video walkthrough
🔨 Live build demonstration
✍️ End-of-course quiz
📜 Personalized PDF certificate
♾️ Lifetime access
🏅
Counts toward Level 1 Certification

This course is a required module for your Claw Operator certification.

★★★★★
4.9/5 from early students
🦞Official OpenClaw curriculum
📜Certificate auto-issued on pass
🔒30-day money-back guarantee
Instant access after purchase

After 30 Minutes, You Will Understand
Docker Like You've Never Seen It Explained.

Not abstract concepts. Not generic Docker tutorials. The specific, testable Docker knowledge an AI engineer needs.

01
Explain the difference between containers and virtual machines and articulate why containers are the right choice for AI agent workloads
02
Write a Dockerfile for an AI agent application from scratch, understanding every instruction and why it's there
03
Configure persistent volumes so your agents' memory, logs, and data survive container restarts
04
Set up Docker networking to connect OpenClaw, Ollama, and other services so they can communicate correctly
05
Write a complete docker-compose.yml that runs the full OpenClaw stack — runtime, LLM, and memory — with a single command
06
Apply basic container security practices — non-root users, resource limits, and environment variable management

Every Slide. Every Minute.
Nothing Wasted.

20 dense, structured slides across 4 teaching blocks. Each block ends with a checkpoint before moving to the next concept.

Block 1 — Container Fundamentals (Slides 1–5) ~7 min
01🎯Why Docker Matters for AI Agents (Not Web Apps)Concept
02📦Containers vs Virtual Machines — The Real DifferenceConcept
03🖼️Images, Containers, and Layers — Mental ModelConcept
04🗂️The Dockerfile — How Images Are BuiltConcept
05Running Your First ContainerDemo
Block 2 — Docker for AI Workloads (Slides 6–12) ~11 min
06🤖Containerizing an LLM — How Ollama Works in DockerDemo
07💾Volumes — How Agents Persist Data Between RunsConcept
08🌐Docker Networking — Connecting Agents to ServicesConcept
09🔌Environment Variables — Config Without HardcodingConcept
10🏗️Docker Compose — Running Multi-Container Agent StacksDemo
11🦞Dockerizing OpenClaw — The Complete SetupDemo
12Checkpoint: Docker Mental Model QuizRecap
Block 3 — Live Build (Slides 13–17) ~9 min
13🔴Live: Writing the OpenClaw Dockerfile from ScratchDemo
14🔴Live: Building and Tagging the ImageDemo
15🔴Live: docker-compose.yml for OpenClaw + OllamaDemo
16🔍Inspecting a Running Container — Logs, Shell, StatsDemo
17🛡️Security Basics — Non-Root Users and Resource LimitsConcept
Block 4 — Production Patterns (Slides 18–20) ~3 min
18🚀Container Best Practices for Agent WorkloadsConcept
19📚What's Next: Prompt Engineering Fundamentals (Course 5)Recap
20✍️End-of-Course Quiz — Unlock Your CertificateQuiz

Every Lesson Includes
a Real Build. Not a Mockup.

In Block 3, you'll write a complete Dockerfile and docker-compose.yml for the full OpenClaw stack from scratch — every line explained, every decision justified.

01# Dockerfile
02FROM python:3.11-slim
03WORKDIR /openclaw
04COPY . .
05RUN pip install -r requirements.txt

07# docker-compose.yml
08services:
09 openclaw:
10 build: .
11 volumes:
12 - ./data:/openclaw/data
13 ollama:
14 image: ollama/ollama
15 volumes:
16 - ollama_data:/root/.ollama

18# Start everything
19$ docker compose up -d
20# ✓ OpenClaw running
21# ✓ Ollama with Llama3 ready
22# ✓ Data persisted to volume

The Complete Docker Build You Do in Block 3

You'll write a Dockerfile and docker-compose.yml for the full OpenClaw stack from scratch in Block 3. Every line explained, every decision justified — by the end you'll understand exactly why production AI stacks are always containerized.

  • Write a production-ready Dockerfile for an AI agent application
  • Build and tag your Docker image correctly
  • Set up persistent volumes so agent data survives restarts
  • Create a complete docker-compose.yml for multi-container orchestration
  • Start the entire OpenClaw + Ollama stack with a single command

Taught by the Person
Who Built OpenClaw.

🦞
Founder — AaronWiseAI / OpenClaw
Aaron Wise
AI Agent Engineer · Automation Architect · Creator of OpenClaw
Aaron built the OpenClaw platform to solve a real problem: deploying and managing AI agents in production without enterprise budgets or bloated tooling. He created ClawAcademy because the structured, engineering-grade training he needed when he started didn't exist. Every lesson in this course reflects real production experience — not YouTube summaries, not theoretical frameworks. If Aaron teaches it, he's built it in the real world first.
AI Agent Systems OpenClaw Creator Multi-Agent Architecture Prompt Security LLM Infrastructure Production AI Deployments

What Builders Said After
Taking Docker Basics

★★★★★
"I'd copy-pasted Docker commands for years without understanding them. Slide 3's mental model of images, containers, and layers was the first time it actually clicked. The whole thing suddenly made sense."
AM
Aisha M.
Claw Builder · Full Stack Developer
★★★★★
"The volumes explanation in slide 7 saved my agent data. I'd been running containers without volumes and wondering why my memory store kept disappearing. A $9 lesson that saved hours of confusion."
RP
Ricardo P.
Claw Operator · Automation Engineer
★★★★★
"The docker-compose.yml for OpenClaw + Ollama in Block 3 is exactly what I needed. I had both services running separately but couldn't get them talking. Slide 10 fixed everything."
YT
Yuki T.
Claw Engineer · AI Infrastructure

Pass the Quiz.
Get the Certificate. Earn the Level.

ClawAcademy · Official Certificate
CLAWACADEMY
This certifies that
Your Name Here
has successfully completed
Docker Basics for AI Engineers
🏅 Level 1 — Claw Operator Path

Your Certificate Is
Automatically Issued.

No waiting, no approval queue, no manual process. Complete the quiz, hit the passing score, and your personalized PDF certificate lands in your inbox within minutes — generated by Autocrat with your full name and a unique certificate ID.

  • 01
    Complete the 30-minute lesson Watch the slides, follow the live demo, and take in the full curriculum.
  • 02
    Pass the end-of-course quiz Hit the required score on the Google Form quiz. You can retake as many times as needed.
  • 03
    Receive your PDF certificate Autocrat generates a personalized certificate with your name and unique ID. Delivered to your inbox automatically.
  • 04
    Count it toward Claw Operator This course is a required module for your official Level 1 certification. Every course builds toward your ladder.

Thirty Minutes From Now,
Your Agent Stack Will Run in Docker.

Docker Basics for AI Engineers

Beginner Course 4 · 30 min · Certificate included

$9
  • Full 20-slide Docker curriculum
  • AI-specific focus (not generic web-dev Docker)
  • Live Dockerfile + docker-compose build
  • End-of-course quiz (retake unlimited)
  • Personalized PDF certificate on pass
  • Counts toward Level 1 Claw Operator cert
  • Lifetime access
Enroll in Docker Basics for AI Engineers — $9 → 🦞 Get All 17 Courses — Founders Access $67/yr
🔒 30-day money-back guarantee — no questions asked
Want all 17 courses + all 5 cert levels? Founders Access unlocks the entire ClawAcademy curriculum for $67/yr — launching at $97. Lock in now.
See Founders Access →

Questions About
Docker Basics for AI Engineers

None. This course starts from zero — what a container is, why it exists, and how it differs from a virtual machine. If you've never typed a Docker command before, this is the right starting point.
You should install Docker Desktop before the hands-on sections in Block 2. It's free for personal use. The course covers where to get it and how to verify it's working, but the installation itself is straightforward and not the focus of this course.
No — it's specifically designed for AI engineers working with agent workloads. Every concept is explained in the context of AI agents, LLM containers, and OpenClaw. If you want to containerize a Rails app, there are better courses. If you want to containerize an AI agent stack, this is it.
You'll understand containerization fully, but production VPS deployment is covered in Course 11: VPS Deployment. That course builds directly on this one — you need Docker basics before you can deploy a containerized agent to a server correctly.
Yes, in detail. Block 2 covers Docker Compose and Block 3's live build creates a complete docker-compose.yml for the OpenClaw + Ollama stack. By the end of the live demo you'll have a working multi-container agent environment running with a single command.
Prompt Engineering Fundamentals (Course 5). After the infrastructure foundation is set, the curriculum shifts to agent intelligence — how you instruct your agents, structure system prompts, and engineer the inputs that drive agent behavior.
Yes. 30 days, no questions asked. If you complete this course and Docker still doesn't make sense in the context of AI agents, we'll refund you completely.