Resources building AI Systems

data analytics → data science → building AI systems.

If I had to start again, these are the resources I’d come back to:

➤ 𝗚𝗶𝘁

Track changes, explore safely, and never lose work again.

• Git book (free): https://lnkd.in/e6Zs274V

➤ 𝗙𝗮𝘀𝘁𝗔𝗣𝗜

Wrap your logic into clean, production-ready APIs.

• Practical guide: https://lnkd.in/eugRp4vY

• Video: https://lnkd.in/eej-pAvt

➤ 𝗦𝘁𝗿𝗲𝗮𝗺𝗹𝗶𝘁

Turn scripts into lightweight frontends in minutes.

• Streamlit tutorial: https://lnkd.in/eb7pgnys

➤ 𝗣𝘆𝗱𝗮𝗻𝘁𝗶𝗰

Validate your data before it causes silent failures.

• Examples repo: https://lnkd.in/eFcnPxtR

• Video: https://lnkd.in/eFK4ar7q

➤ 𝗧𝗲𝘀𝘁𝗶𝗻𝗴 (𝗽𝘆𝘁𝗲𝘀𝘁)

Make changes without breaking everything else.

• pytest docs: https://lnkd.in/e-8GtR2N

• Good intro examples: https://lnkd.in/erYVykz5

• pytest video: https://lnkd.in/eW6NFaXq

➤ 𝗟𝗼𝗴𝗴𝗶𝗻𝗴

You stop guessing. You start seeing.

• Guide: https://lnkd.in/eRAYnsMY

• Video: https://lnkd.in/exW6eNYN

➤ 𝗔𝘀𝘆𝗻𝗰𝗜𝗢 / 𝗖𝗲𝗹𝗲𝗿𝘆

Handle tasks in parallel without blocking your app.

• AsyncIO guide (official): https://lnkd.in/eT5SaPA2

• AsyncIO video: https://lnkd.in/e6bnzxhn

• Celery docs: https://lnkd.in/eVChTsNH

• Celery video: https://lnkd.in/egSTD3uy

➤ 𝗖𝗼𝗻𝘁𝗮𝗶𝗻𝗲𝗿𝘀 (𝗗𝗼𝗰𝗸𝗲𝗿)

Run the same code anywhere, without “works on my machine.”

• Docker Getting Started: https://lnkd.in/evcgPBhZ

• Practical examples: https://lnkd.in/eR7JYbkE

➤ 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀

Understand what breaks OCR and document extraction.

• OpenCV guide: https://lnkd.in/e-PKv443

• OpenCV tutorial: https://lnkd.in/eVwnRfT8

➤ 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗽𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴

Real docs are messy, and these tools help you handle them.

• DeepSeek OCR: https://lnkd.in/e-QkKijW

• Docling: https://lnkd.in/e3ztFjyX

• EasyOCR quickstart: https://lnkd.in/epiiSENj

➤ 𝗖𝗜/𝗖𝗗

Turn manual deployment into a repeatable flow.

• GitHub Actions basics: https://lnkd.in/ezVZ6Nkn

• Example workflows: https://lnkd.in/eCSScPeq

• GitHub Actions video: https://lnkd.in/e4bmDsMq

➤ 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 (𝗦𝗤𝗟𝗔𝗹𝗰𝗵𝗲𝗺𝘆 + 𝗔𝗹𝗲𝗺𝗯𝗶𝗰)

Use proper schema and versioning to persist state across builds.

• SQLAlchemy video: https://lnkd.in/efX4TRPn

• SQLAlchemy + Alembic video: https://lnkd.in/eQrXCjWg

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