Docker for AI & Python Developers¶
Helps you containerise Python and LLM apps correctly, from the Dockerfile to GPUs, Ollama and vLLM.
Containerise Python and LLM apps: production Dockerfiles, Compose for an AI stack, GPUs, Ollama and vLLM, troubleshooting and security. 6 parts on 4 printable pages. Free.
- For
- Python and AI developers
- Level
- Intermediate
- Format
- PDF · 4 pages · light + dark
- Pages
- 4
- Language
- English
- Delivery
- Instant download after you enter your email
- Licence
- Free to share unchanged, with credit
- Support
- aiwithpriyabrat@gmail.com
Who it's for¶
For: Python and AI developers. Level: Intermediate.
What you get¶
| File | What it is |
|---|---|
docker-cheat-sheet.pdf | Light version, 4 pages |
docker-cheat-sheet-dark.pdf | Dark version, 4 pages |
Highlights
- 4-page PDF, light and dark versions
- A production Dockerfile and Compose for an AI stack
- Troubleshooting and security checklists
What's inside¶
- Images, containers, run flags and everyday commands
- A production Dockerfile, layer caching, .dockerignore and multi-stage builds
- Volumes, networking, Compose for an AI app and secrets
- GPUs, Ollama, vLLM, vector databases and Jupyter in containers
- Troubleshooting, cleanup, security, CI and interview answers
Preview and sample pages¶
Real pages rendered from the PDF.
Requirements and compatibility¶
| You need | Any PDF reader — your web browser is enough |
| Works on | Desktop, tablet and phone Light version for printing, dark version for screens |
| Format | PDF · 4 pages · light + dark |
| Pages | 4 |
| Paper size | A4 |
| Language | English |
How to use it¶
- Open the PDF in any PDF reader, including your web browser.
- Print the light version on A4 paper; use the dark version on a screen.
What's included and what's not¶
Included
- docker-cheat-sheet.pdf
- docker-cheat-sheet-dark.pdf
Not included
- Editable source files: the download is the PDF
Licence¶
Free downloads may be downloaded, printed and shared unchanged, with credit: keep the author's name, the website link and the footer on every page. You may not sell them, include them in a paid product, or remove or change the author credit. Full wording: Terms, section 2.
Delivery and support¶
The download starts as soon as you enter your email or continue with Google.
Support: email aiwithpriyabrat@gmail.com or use the contact page. We reply within 2 working days (Monday–Friday).
FAQ¶
Is it really free?
Yes. Enter your email (or continue with Google) and the download starts straight away. No payment and no account. You'll get an occasional email about new free notes and cheat sheets; unsubscribe any time.
Which version should I download?
The light version prints well; the dark version is easier on screens. The content is the same.
Can I share it?
Yes, unchanged and with credit: keep the author's name, the website link and the footer on every page. You may not sell it or include it in a paid product.
Your next step¶
Next: Deploy your AI app for free. Take the container you built and put it online.
Go further: LLMOps: The Production Guide (coming soon, ₹99 at launch). The Docker sheet covers containers. LLMOps: The Production Guide covers the rest of running an LLM app in production: serving, caching, rate limits, observability, evals in CI, cost and security.
Related products¶
Free to start with: Dockerize a Python AI app (free tutorial)
LLMOps: The Production Guide
Take a GenAI app from demo to production: deployment, serving, caching, observability, evals, cost and security.
Level: Intermediate For: Engineers shipping LLM apps
- 36-page PDF in 9 chapters, personalised with your name
- Production code: Dockerfile, token rate limiter, CI eval gate
- A go-live checklist and 30+ interview answers
REST API Design Cheat Sheet
Design REST APIs that are easy to use and hard to break, including streaming LLM APIs.
Level: Intermediate For: Backend developers
- 6-page PDF, light and dark versions
- 14 status codes and one error format
- 3 worked API designs and interview answers
Developer Templates Pack
25 copy-ready templates to start a Python or AI project the right way.
Level: All levels For: Developers starting a Python or AI project
- 4-page PDF, light and dark versions
- README, CI, Dockerfile and Makefile templates
- A FastAPI skeleton, a prompt file and eval cases