Machine Learning and AI Fundamentals
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.
Time to complete2 months
Certificate of completionYes
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
Syllabus9 units • 35 lessons • 25 projects • 26 quizzes
Welcome to Machine Learning/AI Engineering Foundations
See what you will learn in Machine Learning/AI Engineering Foundations!
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.
Python Fundamentals for ML/AI Engineers (Part I)
Build a foundation in programming with Python!
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.
Portfolio Project: U.S. Medical Insurance
Use your understanding of Python syntax to sort and analyze data about U.S. medical insurance costs!
Python Pandas for ML/AI Engineers
Learn how to use the Python pandas library and lambda functions.
Exploratory Data Analysis in Python
Learn about exploratory data analysis (EDA) techniques for Data Science
Hands-on learningDon't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Projects in this skill path
Detecting Product Defects with ProbabilityDetermine the number of defective products made at a factory on a given day. Apply concepts from the Poisson distribution, including random variables, the probability mass function, the cumulative distribution function, and expected values.
Sampling Distributions Dance Party!Investigate sampling distributions of Spotify data!
Image Transformations with NumPyUse NumPy and linear algebra knowledge to do fun image transformations!
Reviews from learners
- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA
Our learners work at
What's included in skill paths
Practice ProjectsGuided projects that help you solidify the skills and concepts you're learning.
AssessmentsAuto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
Certificate of CompletionEarn a document to prove you've completed a course or path that you can share with your network.
Skill paths help you level-up
Get a specialized skillWant to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
Get step-by-step guidanceWe guide you through exactly where to start and what to learn next to build a new skill.
Get there quicklyWe’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.
Ready to learn a new skill?Get started on Machine Learning and AI Fundamentals with a free Codecademy account.
Looking for something else?
- Skill path
Analyze Data with Python (2022 Version)Learn to analyze and visualize data using Python and statistics.Includes 8 CoursesWith CertificateBeginner Friendly28 Lessons
- Career path
Data Scientist: Machine Learning SpecialistMachine Learning Data Scientists solve problems at scale, make predictions, find patterns, and more! They use Python, SQL, and algorithms.Includes 27 CoursesWith CertificateBeginner Friendly81 Lessons