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There is a lot of excitment around AI, but what is it and how could it be relevant to your career? Watch these videos to learn the basics of AI and Machine Learning.

Artificial Intelligence

In this video we will outline the AI life cycle and its elements. The AI lifecycle can be thought of in three stages - project scope, building the model, and deploying it to production. The six steps in the typical data science and AI process are explained, including asking the right questions, conducting research, choosing appropriate methods, validating assumptions, testing, and interpreting conclusions. Deployment of machine learning models is discussed, including considerations for when to deploy and different methods of deployment such as on-call systems, on-demand systems, and on-edge systems.

Artificial Intelligence (AI) Lifecycle

In this video, we'll explain how artificial intelligence works and identify the types of data that are used with AI. AI works by using large amounts of data, processing it iteratively with intelligent algorithms to learn from patterns or features in the data. It's important to use valid data and correct biases. Data can be classified into four major groups: structured, semi-structured, quasi-structured, and unstructured. Structured data is organized in tables, like in Microsoft Excel, and is easy to manipulate. Semi-structured data is labeled but not in table format, allowing for more versatility. Quasi-structured data has some patterns but lacks clear labels or structure, requiring more formatting. Unstructured data, like videos, podcasts, and pictures, lacks any pre-defined format. Big data is characterized by high volume (in terabytes, petabytes, or exabytes), high velocity (flowing rapidly from sources), and high variety (coming from different formats and sources).

How Does Artificial Intelligence (AI) Work?

In this video, we identify use cases for AI and how AI can be used in your industry. What AI can do can be broken up into six broad categories - Finding a needle in a haystack, prioritizing work to maximize impact, providing early warnings or detection against imminent threats, speeding up decisions and the decision-making process, optimizing the resources that you have available to you and enabling experiments to determine the best course of action.

What Can Artificial Intelligence (AI) Do?

In this video, we will identify the concepts and use cases for artificial intelligence (AI). Artificial intelligence (AI) provides cutting-edge tools to help organizations predict behaviors, identify key patterns, and drive decision-making in a world that is increasingly made up of data. It is the science of creating intelligent systems that can learn and solve tasks that typically require human intelligence. 

Examples of widely used AI-powered products include Netflix's recommendation engine, Google's search engine, and voice assistants like Siri and Alexa. The use of AI has increased significantly in recent years due to the collection of more data and increased computing power. Many business leaders believe AI will be the key to optimizing efficiency, improving productivity, and fostering innovation. However, it's important to understand that AI is not alive, sentient, creative, or ambitious. Its purpose and existence are defined by humans, and it requires human interpretation to provide the right context for its calculations.

What is Artificial Intelligence?

Join us for an assortment of livestreams where we cover topics such as interview prep, introductions to programming languages, project walkthroughs  — and so much more!

All Livestreams

Augmented reality is alive and well. Learn how to make your first AR experience using the popular web framework A-Frame — with guidance from our Curriculum Developers.

Augmented Reality

Learn how to build a Web Dev Portfolio with Codecademy.

Building a Web Dev Portfolio

No matter what your coding goals are, the best place to start is by building a strong foundation. In this live series, we learn Computer Science fundamentals that are similar to content you’d see in a first-semester CS101 college course.

CS101

Cloud computing and its related services have unlocked seemingly endless possibilities for organizations with an online presence. These videos give an overview of what cloud computing is and what business considerations are made when adopting cloud tools.

Cloud Computing

A playlist of Quick Tip videos for Codecademy Chapter Leaders.

Community: Chapter Leader Quick Tips

Join our Chapters for live conversations on various topics — including NFT art and how to break into a technical field.

Community: Chapters

We think that connecting with other learners is the best way to learn. Explore some of our past community-led events here!

Community: Events

Hackathons are a great way to test your knowledge and flex your skills. Check out our hackathon presentations here.

Community: Hackathon

Explore the world of creative coding with p5.js, an open-source JavaScript library. We'll create drawings, animations, and video sculptures in this beginner-friendly series.

Creative Coding with p5.js

Strong cybersecurity practices are essential to every organization, be it a school, hospital, or company. These videos review common cybersecurity strategies, as well as common threats and how to identify them.

Cybersecurity

Companies can collect vast amounts of data and struggle to properly use it. Data Analytics is used to interpret and communicate relevant patterns of data for a business. These videos explore how companies utilize data analytics, and current popular tools.

Data Analytics

Data Science is used in a variety of ways to help businesses make decisions. In these videos we explore data science best practices, considerations for what tools to use, and the basics of machine learning.

Data Science

How data is presented can be as important as how it is collected. These videos explore foundational strategies and best practices to ensure that your data visualizations are meaningful and accurate.

Data Visualization

There are a lot of terms and acronyms in the world of programming. Explore the definitions of common terms used in popular languages and frameworks.

Definitions

DevOps is a series of practices that fosters a culture of collaboration between the Development and Operations team in software development. This playlist explores the benefits of DevOps, and how it is practiced in organizations.

DevOps

An understanding of Github and Git commands is essential for anyone looking to work in a collaborative software development space. These videos explore the features of Git, as well as branching and merging, two of the most important skills for collaborating on Github.

Developer Tools

HTML and CSS lie at the heart of web development. We explore some of their uses with these tutorials and explainers.

HTML & CSS

Preparing for a career in a technical field? Check out these interview tips — including advice on building a portfolio and showcasing your skills.

Interview Prep

Emojicode is a real programming language with a playful emoji syntax in place of traditional programming keywords. Learning it can bring some smiles and fun to your programming journey. Join us for an introduction to this silly language.

Intro to Emojicode

TypeScript builds on your JavaScript foundation so you can develop higher-quality, less error-prone code faster. Learn more about this in-demand language as Codecademy Curriculum Developers guide us through an introduction.

Intro to TypeScript

JavaScript has many functionalities, from web development to gaming applications. We break down the programming language and explain how it works with these tutorials.

JavaScript

From Product Manager to Data Scientist, we take a look at different careers in tech and what these roles entail.

Jobs in Coding

Experience a full day of learning to code with interactive instruction and guided discussions by the Curriculum team at Codecademy.

Learn From Home Day

See how people around the world are reshaping their lives by learning to code.

Learner Stories

Linear regression is a fundamental machine learning algorithm used for predictive modeling and data analysis. Learn more about it as Codecademy Curriculum Developers guide you through our course: Linear Regression in Python

Linear Regression with Python

Machine learning is one of the fastest expanding fields in tech, with applications in all parts of life. Watch these videos to learn the basics of Machine Learning.

Machine Learning

Almost everything we do creates data, and knowing how to investigate and communicate it is key. Our Curriculum Developers show us how to summarize data and run hypothesis tests following our Skill Path: Master Statistics with Python.

Master Stats with Python

Mobile development is a massive field with a variety of unique tools. These videos explore two essential tools for mobile developers, the Android operating system and Flutter software development kit.

Mobile Development

Since its release in 1994, Python stands tall as many developers’ favorite programming language. Explore its many capabilities with these livestreams and tutorials.

Python

The R language is a popular tool for Data Analysts. Learn more about this free, open-source programming language with these livestreams.

We asked recruiters in our community to share advice for people navigating the job-hunting process — from tips for optimizing your resume to advice on acing the technical interview.

Recruiter Advice

We show you how to get started on your coding projects — from setting up developer tools to pushing your code to GitHub.

Setting Up

Just starting out on your coding journey? We’ve gathered tips for helping you start — including advice on how to choose your first programming language and how to remember everything you’re learning.

Tips

Our Curriculum Developers will lead you on a journey as you go from complete beginner to proficiency with data visualization, using Python. This is a weekly series that will lead you through our entire Visualize Data with Python Skill Path.

Visualize Data with Python

Web Design includes any skills used to create and maintain a website. These videos explore the foundational web design skills of adding styling to a website with CSS and HTML, as well as best practices in responsive web design.

Web Design

Join the millions learning to code with Codecademy.

Welcome to Codecademy

You know all of those app ideas you’ve been wanting to create? Swift and SwiftUI can help you bring them to life for iOS. Learn how to build your very own iPhone app from start to finish in this live series.

Artificial Intelligence

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