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A.B. Labs

AI / Machine Learning

Python for AI & Machine Learning

Learn Python, data analysis and core machine learning by working with real datasets — the practical foundation for building with AI.

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Overview

Machine learning starts with solid programming and a clear understanding of data. This course builds both: you will learn Python from the ground up, then use it to clean, explore and visualize data before training and evaluating your first machine learning models.

The emphasis is on intuition and practice. Every concept is applied to real datasets, so you learn not only how models work, but how to judge whether they work well.

Who it's for

  • Beginners interested in data science and AI
  • Developers moving into Python and machine learning
  • Analysts who want to add machine learning to their toolkit

Before you start

  • No prior programming experience required
  • Comfort with school-level mathematics
  • A computer that can run Python and Jupyter

Outcomes

What you'll learn.

  1. 01

    Write clear, idiomatic Python

  2. 02

    Load, clean and transform data with pandas

  3. 03

    Visualize data to find patterns and communicate findings

  4. 04

    Understand core machine learning concepts and trade-offs

  5. 05

    Train, tune and evaluate models with scikit-learn

  6. 06

    Frame a real problem as a machine learning task

Curriculum

Module by module.

  1. Module 01Python Fundamentals
    • Syntax, variables and data types
    • Control flow and functions
    • Lists, dictionaries and comprehensions
    • Working in Jupyter notebooks
  2. Module 02Writing Better Python
    • Modules, packages and virtual environments
    • Object-oriented programming basics
    • Error handling and debugging
    • Reading and writing files
  3. Module 03Numerical Computing with NumPy
    • Arrays and vectorized operations
    • Indexing, slicing and broadcasting
    • Linear algebra essentials for machine learning
    • Random numbers and simulation
  4. Module 04Data Analysis with pandas
    • Series and DataFrames
    • Cleaning messy, real-world data
    • Grouping, joining and reshaping
    • Working with dates and categorical data
  5. Module 05Visualization & Exploratory Analysis
    • Plotting with Matplotlib
    • Choosing the right chart
    • Finding patterns, outliers and relationships
    • Communicating findings clearly
  6. Module 06Machine Learning Foundations
    • Supervised and unsupervised learning
    • Regression and classification
    • Train/test splits and cross-validation
    • Overfitting, underfitting and the bias–variance trade-off
  7. Module 07Models in Practice
    • Feature engineering and pipelines
    • Decision trees, ensembles and clustering
    • Metrics that match the problem
    • Capstone: an end-to-end machine learning project

Projects

What you'll build.

  1. 01

    An exploratory analysis of a public dataset

  2. 02

    A prediction model for a real-world regression problem

  3. 03

    An end-to-end classification project with a written evaluation

We build this too

Need it built for you instead?

Machine learning models, LLM-powered applications and intelligent automation — designed around your data, evaluated rigorously and deployed into real products.

Explore AI / Machine Learning

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FAQ

Course questions.

Who are the courses for?

Most courses start from the fundamentals and suit motivated beginners. More advanced courses list their prerequisites clearly on the course page, so you can choose the right starting point.

How are the courses taught?

Every course is project-based: you learn a concept, then apply it by building something real. Schedules, delivery format and fees are announced with each cohort — register your interest and we will share the details once they are confirmed.

Do I need prior experience?

Not for beginner-level courses. Each course page lists its level and prerequisites. If you are unsure which course fits, contact us and we will help you decide.

Will I build real projects?

Yes — projects are the core of every course. Each course page lists the projects you will build, ending with a capstone that brings everything together.

Do you offer training for teams?

If you are interested in training for a team or organization, get in touch and choose “Training”. Tell us about your team, its current skills and what you want to achieve.

Not sure where to start?

Let's find the right course.

Tell us about your background and goals, and we'll help you choose a starting point.

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