AI and Machine Learning

AI and machine learning are driving innovation across industries. Learn more about generative AI, large language models, and more with these resources.

Coursera logo C cutout
[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization? Batch normalization explained

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

Article

[Featured Image] A professional creating an infographic on a laptop to share with her team in their next meeting.

What Is an Infographic?

Let's look at what infographics are, including the different types and what makes them effective communication tools.

March 18, 2025

Article

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

Article

[Feature Image] An aspiring data scientist searches “What is batch normalization” on their laptop as they plan their coursework for their degree.

What Is Batch Normalization? Batch normalization explained

Begin your understanding of batch normalization, a technique revolutionizing neural network training, by learning what batch normalization is and why it’s important in deep learning.

March 18, 2025

Article

[Featured Image] A professional creating an infographic on a laptop to share with her team in their next meeting.

What Is an Infographic?

Let's look at what infographics are, including the different types and what makes them effective communication tools.

March 18, 2025

Article

AI and machine learning courses

Status: Free Trial

University of Pennsylvania

Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, AI literacy, Python Programming, Responsible AI, Programming Principles

4.4
Rating, 4.4 out of 5 stars
37 reviews

Intermediate · Course · 1 - 4 Weeks

Status: Free Trial

IBM

Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

4.7
Rating, 4.7 out of 5 stars
23K reviews

Beginner · Course · 1 - 4 Weeks

Status: Free Trial
Status: AI skills

Google

Skills you'll gain: Prompt Patterns, Google Gemini, Generative AI, AI literacy, Model Training, AI Integrations, Google Sheets, Critical Thinking, Innovation

4.8
Rating, 4.8 out of 5 stars
23K reviews

Beginner · Specialization · 3 - 6 Months

[Featured Image] Two data engineers are using neural networks to recognize patterns and process data.

What Are Neural Networks?

Learn more about artificial neural networks, including different types, real-world applications, and careers that may use them.

March 18, 2025

Article

[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters? Types and Tuning Techniques

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

Article

[Featured Image] A development team uses their newly learned technical and design VR skills to test updated hardware and software.

10 Essential VR Skills

To start a career as a virtual reality (VR) developer, you will need to learn technical skills like VR hardware and software, as well as design principles like user experience design. Explore 10 VR skills you’ll need to be successful in the field.

March 18, 2025

Article

[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

Article

[Featured Image] A person sits in their home office using their phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

Article

[Featured Image] A data scientist dressed in business casual attire sits at their home office and studies statistical learning vs. machine learning on their computer.

Statistical Learning vs. Machine Learning: What’s the Difference?

Explore different ways to analyze your data by learning more about statistical learning versus machine learning, when to use each, and what to consider when choosing your model.

March 18, 2025

Article

[Featured Image] A business person using a facial recognition device integrated with AI in a professional workspace.

How to Write a Computer Vision Resume (Step by Step With Examples)

Learn how to write a computer vision resume in a concise and visually pleasing way to get the attention of hiring managers and potential employers.

March 18, 2025

Article

[Feature Image] A learner meets with their teaching assistant to review discriminative vs. generative models and gain a deeper understanding of the differences.

Discriminative vs. Generative Models: What’s the Difference?

You can use discriminative models to classify data into categories and generative models to generate new images, text, or other data. Explore the differences between discriminative and generative models.

March 18, 2025

Article

[Featured Image] Two AI professionals are collaborating in an office and discussing generative AI job responsibilities.

Generative AI Job Description

Explore what generative AI is, learn more about potential generative AI careers and job descriptions, and discover the growth opportunities within the industry.

March 18, 2025

Article

[Featured Image] A computer engineer is programming the appropriate batch size on a computer.

What Does Batch Size Mean in Deep Learning? An In-Depth Guide

Learn about the hyperparameter batch size and how it affects the speed at which you train a deep learning model such as a neural network.

March 18, 2025

Article

[Featured Image] Two data engineers are using neural networks to recognize patterns and process data.

What Are Neural Networks?

Learn more about artificial neural networks, including different types, real-world applications, and careers that may use them.

March 18, 2025

Article

[Featured Image] Two aspiring data scientists search “what are hyperparameters” as they complete an assignment collaborating on a machine-learning project.

What Are Hyperparameters? Types and Tuning Techniques

Explore the role hyperparameters play in designing effective machine learning models.

March 18, 2025

Article

[Featured Image] A development team uses their newly learned technical and design VR skills to test updated hardware and software.

10 Essential VR Skills

To start a career as a virtual reality (VR) developer, you will need to learn technical skills like VR hardware and software, as well as design principles like user experience design. Explore 10 VR skills you’ll need to be successful in the field.

March 18, 2025

Article

[Feature Image] An aspiring big data analyst discusses the best ways to measure veracity in big data with their mentor.

What Is Veracity in Big Data?

Learn why veracity is one of the five Vs of big data, what it is, and how it affects modern industries.

March 18, 2025

Article

[Featured Image] A person sits in their home office using their phone and laptop to analyze stock market trends using VAE technology.

VAE vs. GAN: What’s the Difference?

Both variational autoencoders and generative adversarial networks can generate novel data and multimedia. However, each technology takes a different approach. Explore VAEs and GANs, including how they work and what you can do with them.

March 18, 2025

Article

[Featured Image] A data scientist dressed in business casual attire sits at their home office and studies statistical learning vs. machine learning on their computer.

Statistical Learning vs. Machine Learning: What’s the Difference?

Explore different ways to analyze your data by learning more about statistical learning versus machine learning, when to use each, and what to consider when choosing your model.

March 18, 2025

Article

[Featured Image] A business person using a facial recognition device integrated with AI in a professional workspace.

How to Write a Computer Vision Resume (Step by Step With Examples)

Learn how to write a computer vision resume in a concise and visually pleasing way to get the attention of hiring managers and potential employers.

March 18, 2025

Article

[Feature Image] A learner meets with their teaching assistant to review discriminative vs. generative models and gain a deeper understanding of the differences.

Discriminative vs. Generative Models: What’s the Difference?

You can use discriminative models to classify data into categories and generative models to generate new images, text, or other data. Explore the differences between discriminative and generative models.

March 18, 2025

Article

[Featured Image] Two AI professionals are collaborating in an office and discussing generative AI job responsibilities.

Generative AI Job Description

Explore what generative AI is, learn more about potential generative AI careers and job descriptions, and discover the growth opportunities within the industry.

March 18, 2025

Article

GenAI is poised to be the largest technological revolution since the internet. In today's technologically evolving world, professionals skilled in AI and machine learning are in high demand across many industries. A career in this fast-growing field provides opportunities to use technical skills to drive meaningful business impact. Explore the diverse career paths, essential skills, and job types within AI and machine learning to start your journey in this exciting and rewarding domain.

Ready to start learning? Explore our catalog of artificial intelligence, machine learning, and natural language processing courses for beginners and experienced professionals.

Frequently asked questions (FAQ)