Skillmaxing

Python with AI · Inference engineering · System design

303 lessons · 131 narrated videos · 10 free, start to finish.

Python with AI · Inference engineering · System design

See how agents work. Then build it.

Narrated, animated lessons and written notes for building AI backends in Python and designing systems that scale, with one real project running through every course.

10 people learning right now
03.01 CONCURRENCY VS PARALLELISMThree requests on one thread, drawn against a 300 millisecond axis
Figure 2Three requests on one thread. The blue is work; everything pale is the request waiting on someone else.
303
lessons
131
narrated videos
222
animated figures
10
free, start to finish
Inside every lesson
Watch · Read · Build

Every lesson is made three ways

The video, the notes and the exercise use the same drawing, so nothing is lost moving between them.

  1. 01

    Watch

    Four minutes, narrated, with the diagram changing as the explanation moves.

  2. 02

    Read

    The same figures in writing, numbered and captioned, honest about what breaks.

  3. 03

    Build

    A Try it that adds one working piece to the project you are carrying.

Inside Skillmaxing

What an account actually gets you

Six things you use every week, drawn the way they actually work.

One figure

One idea, drawn once

Every lesson is built around a single drawing. Read the notes and you are looking at the same figure the video animates, so nothing is lost moving between them.

Watch · Read · Build

Three ways through the same thing

Four narrated minutes, the written version with numbered captions, and a Try it that adds one working piece to the project you are carrying.

Reading order

36 papers, in sequence

Landmark papers ordered so each one prepares you for the next, each with a brief, the key ideas, and a question to keep in mind while you read.

One a day

A brief every morning

Ten focused minutes on one paper, summarised and placed in context. Mark it read and the calendar fills in behind you.

Your dashboard

Everything you finish, counted

Mark a lesson understood and it lands on your dashboard with the date, the streak, and the next lesson waiting in that course.

Interactive

Change a number, watch it react

Move one control — a cache size, a fan-out, a timeout — and watch the latency curve answer. The numbers are the lesson.

Plans

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$50 paid once
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All current tracks, every future course, and every update.

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FAQ

Questions people ask before joining.

Everything worth knowing before you pick a path. If it is not here, ask and it will be added.

Where should I start?
Start free. If you want to build AI backends in Python, open Python with AI. If you want architecture judgment and interview practice, open System Design. If you want papers and models, open AI Research.
What is actually inside AI Research?
Twelve modules that move from math foundations to modern LLM practice, with landmark papers sequenced so each one builds on the last.
What is actually inside Python with AI?
Fifteen modules that take you from Python itself to a production AI backend: FastAPI and Pydantic, databases and real-time transport, calling OpenAI and Anthropic models, agents with the OpenAI Agents SDK and LangGraph, MCP servers, Langfuse tracing, and deployment, all built around one running project.
What is actually inside System Design?
Thirty modules of notes, design walkthroughs, company cases, and from-scratch implementations, ending with an interview module and a capstone.
Is this only for interview prep?
No. Interviews are one module. The rest is written for the work itself: designing, operating, and changing real systems.
Can I use it before paying?
Yes. Every course opens with free lessons, and the free ones are complete lessons rather than teasers.
How often does the material change?
Weekly. New lessons, corrections, and rewrites land continuously, and every plan includes them.
Start free
$10.50 for the first month

Then $15 a month, every course included. Cancel from your billing portal.

Or $50 once, for everything published now and later.

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