Skill Path

Data and Programming Foundations for AI

Learn the coding, data science, and math you need to get started as a Machine Learning or AI engineer.

Includes Python, Probability, Linear Algebra, Statistics, matplotlib, pandas, and more.

To start this Skill Path, upgrade your plan.
This skill path includes
23,409 learners enrolled
This skill path includes
  • Skill level

  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
    39 hours
  • Projects

  • Prerequisites


About this skill path

Machine Learning and AI are at the forefront of some of the most exciting modern technologies. From fraud detection systems to dating apps, machine learning engineering is changing the world. Joining this movement and becoming a Machine Learning Engineer requires a solid foundation in data literacy, programming, mathematics, statistics, and visualization. This Skill Path is that foundation.

Skills you'll gain

  • Code in Python
  • Explore and summarize data
  • Know the math behind ML/AI


9 units • 35 lessons • 25 projects • 26 quizzes
  • 1

    Welcome to Machine Learning/AI Engineering Foundations

    See what you will learn in Machine Learning/AI Engineering Foundations!

  • 2

    Principles of Data Literacy

    Discover the world of data in this fully conceptual course where you will learn how to think about, visualize, and analyze data.

  • 3

    Python Fundamentals for ML/AI Engineers (Part I)

    Build a foundation in programming with Python!

  • 4

    Python Fundamentals for ML/AI Engineers (Part II)

    Continue building your Python Skills while applying them to real challenges including finding and working with real data.

  • 5

    Portfolio Project: U.S. Medical Insurance

    Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!

  • 6

    Python Pandas for ML/AI Engineers

    Learn how to use the Python pandas library and lambda functions.

  • 7

    Exploratory Data Analysis in Python

    Learn about exploratory data analysis (EDA) techniques for Data Science

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

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Earn a certificate of completion

Show your network you've done the work by earning a certificate of completion for each course or path you finish.
  • Show proofReceive a certificate that demonstrates you've completed a course or path.
  • Build a collectionThe more courses and paths you complete, the more certificates you collect.
  • Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.

Reviews from learners

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    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    Codecademy Learner @ USA

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How it works

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    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.