Complete AI

Python and Fast API

Full beginner-to-practice Python path for AI engineers: taught in syllabus order—from setup and syntax through numbers, collections, iterators, advanced functions, files and errors, object-oriented patterns, typing, the standard library, HTTP/FastAPI serving, concurrency, pytest, and packaging. Lessons use detailed explanations plus runnable in-browser examples.

Beginner 36 hours · Self-paced 99.0 USD · 49 lessons · ~499 min read

15 topics 49 lessons Start anywhere

What you’ll get out of this course

Build practical skill in “Python and Fast API” with text-first lessons and clear checkpoints.
Level: Beginner—follow the syllabus in order or jump to the modules you need.
Reinforce ideas with end-of-topic checks and (where available) hands-on coding tasks.

Trust & quality

Content is designed and maintained by the Deep AI Minds team—structured for working adults, with frequent updates as tooling and best practices evolve.

Content currency: ~100% of lessons on the current curriculum revision

Instructor & outcomes

Deep AI Minds

Curriculum & instruction

Structured, industry-relevant paths with clear checkpoints and refresh cadence.

Satisfaction & billing

30-day satisfaction: if the syllabus or access is not as described, contact support and we will help (refunds for eligible purchases, case by case for integrations).

Common questions

You keep access for the lifetime of the catalog item you purchased, subject to fair use and our terms.

Yes—add your company name at checkout (where available) or contact us for team licensing and PO-based billing.

Review the full syllabus before buying. If something is wrong on our side, reach out and we will make it right.

Syllabus

We structured this course to build your skills step by step

Scroll through each module below—open lessons in place or jump into a topic. Everything runs in order, but you’re free to explore.

Topic 1

Learning module

Getting started with Python

Getting Started with Python builds a strong conceptual understanding of Python before writing code. It covers why Python, key features, Python’s ecosystem, where Python is used, and how Python compares with other languages. You’ll understand concepts such as high-level, interpreted, and general-purpose programming. The goal is to understand what Python is, why it is popular, and how it fits into programming.

What is python ? 14 min

Setting Up Python 14 min

Notebooks and scripts 14 min

Topic 2

Learning module

Python essentials

The small set of language ideas you will use every day in AI work.

Variables and types 14 min

Control flow 13 min

Functions and modules 14 min

Topic 3

Learning module

Numbers and operators

Integers, floats, math helpers, and precision pitfalls you will hit in real ML code.

Integers and floats 7 min

Arithmetic and the math module 7 min

Precision, rounding, and money 8 min

Topic 4

Learning module

Collections deep dive

Lists, tuples, sets, dicts, and comprehensions — the daily working set for any Python programmer.

Lists in detail 8 min

Tuples and sets 7 min

Dictionaries in detail 9 min

Comprehensions, mastered 8 min

Topic 5

Learning module

Working with data

From lists to arrays—how data looks in memory before models.

Lists and dictionaries 13 min

Toward arrays 14 min

Topic 6

Learning module

Iterators and generators

Lazy sequences, the iterator protocol, yield, and the itertools combinators you will reach for.

The iterator protocol 8 min

Generators with yield 9 min

itertools you will actually use 8 min

Topic 7

Learning module

Functions, advanced

Default arguments, *args / **kwargs, lambdas, closures, and decorators — the patterns behind every framework.

*args, **kwargs, and defaults 9 min

Lambdas and higher-order functions 7 min

Closures and scope (LEGB) 8 min

Decorators explained 10 min

Topic 8

Learning module

Python in practice

Strings, files, error handling, and small classes—patterns you use in every real script and service.

Strings, formatting, and parsing 16 min

try, except, and useful errors 15 min

Files and pathlib 16 min

Classes for structure (basics) 17 min

Topic 9

Learning module

Object-oriented Python

Classes, inheritance, dunder methods, dataclasses, and properties — modeling real things with code.

Classes and instances 9 min

Inheritance and polymorphism 9 min

Dunder methods (operators) 9 min

Dataclasses 8 min

Properties and encapsulation 8 min

Topic 10

Learning module

Type hints and protocols

Annotate inputs and outputs, document intent, and let your editor catch bugs before they run.

Type hints, the practical guide 9 min

Generics and protocols 8 min

Topic 11

Learning module

Standard library tour

datetime, json, re, collections, itertools, functools — the batteries you already have installed.

datetime essentials 8 min

json and csv 8 min

Regular expressions with re 9 min

The collections module 8 min

functools essentials 7 min

Topic 12

Learning module

FastAPI and APIs

HTTP, JSON, and how to expose models and tools behind stable endpoints.

HTTP, JSON, and status codes 14 min

Routes and dependency injection 15 min

Serving models safely 15 min

Topic 13

Learning module

Concurrency basics

Threads, processes, and asyncio — when to use which, and how to keep the GIL out of your way.

Threads vs processes vs async 9 min

asyncio fundamentals 10 min

Async iteration and task groups 8 min

Topic 14

Learning module

Testing with pytest

Write fast, expressive tests with fixtures and parametrize so refactors stop being scary.

Writing your first tests 8 min

Fixtures and parametrize 8 min

Mocking external calls and coverage 8 min

Topic 15

Learning module

Packaging and distribution

Project layout, pyproject.toml, virtual environments, and shipping a library other people can pip-install.

Project layout and virtual envs 8 min

pyproject.toml and publishing 9 min

Learner stories

What Our Learners Say

Feedback about Python and Fast API. New submissions are reviewed before they appear here.

No published stories yet for this course — be the first to share yours below.

Python and Fast API

How long do I keep access?

Can I get an invoice for my company?

What if the content doesn’t match what I need?

What Our Learners Say

Share your experience