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.

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[Featured Image] Two colleagues discuss transfer learning from large language models during a video chat.

Transfer Learning from Large Language Models

Learn how transfer learning from large language models (LLMs) makes it possible for computers to translate languages, summarize texts, and perform other human-like communication tasks more easily, quickly, and accurately than before.

March 21, 2024

Article

[Featured Image] Two business professionals sit outside and use VR headsets that utilize VR eye tracking.

What Is VR Eye Tracking and How Does It Work?

Learn what virtual reality eye tracking is, how it works, and how it enhances virtual reality experiences.

March 21, 2024

Article

[Featured Image] A machine learning engineer uses a gradient descent to train a model.

What Is Gradient Descent in Machine Learning?

Augustin-Louis Cauchy, a mathematician, first invented gradient descent in 1847 to solve calculations in astronomy and estimate stars’ orbits. Learn about the role it plays today in optimizing machine learning algorithms.

March 21, 2024

Article

[Featured Image] Two colleagues discuss transfer learning from large language models during a video chat.

Transfer Learning from Large Language Models

Learn how transfer learning from large language models (LLMs) makes it possible for computers to translate languages, summarize texts, and perform other human-like communication tasks more easily, quickly, and accurately than before.

March 21, 2024

Article

[Featured Image] Two business professionals sit outside and use VR headsets that utilize VR eye tracking.

What Is VR Eye Tracking and How Does It Work?

Learn what virtual reality eye tracking is, how it works, and how it enhances virtual reality experiences.

March 21, 2024

Article

AI and machine learning courses

Status: Free Trial
Status: AI skills

Google

Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AI Security, Gemini, AI Enablement, Google Workspace, Productivity Software, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Model Evaluation, AI Workflows, Workplace inclusivity, Social Impact, Operational Efficiency, Human Factors, Critical Thinking, Analysis, Data Security, Natural Language Processing

4.8
Rating, 4.8 out of 5 stars
18K reviews

Beginner · Specialization · 3 - 6 Months

Status: Free Trial

IBM

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Robotics, Business Logic, Risk Mitigation

4.7
Rating, 4.7 out of 5 stars
22K reviews

Beginner · Course · 1 - 4 Weeks

Status: Preview

DeepLearning.AI

Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, AI Enablement, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Artificial Neural Networks

4.8
Rating, 4.8 out of 5 stars
51K reviews

Beginner · Course · 1 - 4 Weeks

[Featured Image] An engineer considers the six degrees of freedom while examining a model at their desk.

Six Degrees of Freedom Explained

What is six degrees of freedom, and how is it applied in the real world? Learn more about this concept and its uses.

March 21, 2024

Article

[Featured Image] A programmer explores the Pandas Python library on their computer while working from home.

What Is Pandas Python Library?

Pandas is a popular Python library. Read on to learn more about pandas and how you can use it for different programming projects, including those related to machine learning.

March 21, 2024

Article

[Featured Image] Two colleagues at a VR company test new technology.

10 VR Companies to Know About in 2026

Explore the types of industries that use virtual reality (VR) and discover 10 VR companies you should know about in 2026. Then, find out how you can learn more about virtual reality and experiment with different applications.

March 21, 2024

Article

[Featured Image] A data scientist sits with their laptop, using stemming to simplify data.

What Is Stemming?

By learning about stemming, you can understand how it works in natural language processing to affect our lives through chatbots, automated customer service lines, Alexa, and smart home devices. Also, read further to discover a career connected to stemming.

March 21, 2024

Article

[Featured Image] A machine learning engineer studies a confusion matrix on their laptop.

What Is a Confusion Matrix?

Learn what a confusion matrix is and why professionals across industries value this tool. Plus, discover how to calculate and interpret key performance indicators from your confusion matrix.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers sit at a computer and talk about tokenization in NLP.

Tokenization in NLP: What Is It?

Explore tokenization and learn about one of the key pieces of natural language processing. Plus, learn about tokenization uses across professional industries and how to decide whether tokenization is the right NLP method for your task.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers gather around a desk to talk about regularization in machine learning.

Understanding Regularization in Machine Learning

Learn what machine learning is and why regularization is an important strategy to improve your machine learning models. Plus, learn what bias-variance trade-off is and how lambda values play in regularization algorithms.

March 20, 2024

Article

[Featured Image] A video game developer sits at a desk and incorporates deep reinforcement learning into a project.

What Is Deep Reinforcement Learning?

Deep reinforcement learning is a subset of machine learning that results in nuanced insights. Learn more about deep reinforcement learning, including asynchronous methods for deep reinforcement learning and deep reinforcement learning tutorials.

March 20, 2024

Article

[Featured Image] A bioinformatics scientist works in a lab.

What Is a Bioinformatics Scientist?

Discover what a bioinformatics scientist does. Explore daily tasks and responsibilities, learn about the requirements for the job, and find out about possible next steps.

March 20, 2024

Article

[Featured Image] A machine learning engineer uses a gradient descent to train a model.

What Is Gradient Descent in Machine Learning?

Augustin-Louis Cauchy, a mathematician, first invented gradient descent in 1847 to solve calculations in astronomy and estimate stars’ orbits. Learn about the role it plays today in optimizing machine learning algorithms.

March 21, 2024

Article

[Featured Image] An engineer considers the six degrees of freedom while examining a model at their desk.

Six Degrees of Freedom Explained

What is six degrees of freedom, and how is it applied in the real world? Learn more about this concept and its uses.

March 21, 2024

Article

[Featured Image] A programmer explores the Pandas Python library on their computer while working from home.

What Is Pandas Python Library?

Pandas is a popular Python library. Read on to learn more about pandas and how you can use it for different programming projects, including those related to machine learning.

March 21, 2024

Article

[Featured Image] Two colleagues at a VR company test new technology.

10 VR Companies to Know About in 2026

Explore the types of industries that use virtual reality (VR) and discover 10 VR companies you should know about in 2026. Then, find out how you can learn more about virtual reality and experiment with different applications.

March 21, 2024

Article

[Featured Image] A data scientist sits with their laptop, using stemming to simplify data.

What Is Stemming?

By learning about stemming, you can understand how it works in natural language processing to affect our lives through chatbots, automated customer service lines, Alexa, and smart home devices. Also, read further to discover a career connected to stemming.

March 21, 2024

Article

[Featured Image] A machine learning engineer studies a confusion matrix on their laptop.

What Is a Confusion Matrix?

Learn what a confusion matrix is and why professionals across industries value this tool. Plus, discover how to calculate and interpret key performance indicators from your confusion matrix.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers sit at a computer and talk about tokenization in NLP.

Tokenization in NLP: What Is It?

Explore tokenization and learn about one of the key pieces of natural language processing. Plus, learn about tokenization uses across professional industries and how to decide whether tokenization is the right NLP method for your task.

March 20, 2024

Article

[Featured Image] A group of machine learning engineers gather around a desk to talk about regularization in machine learning.

Understanding Regularization in Machine Learning

Learn what machine learning is and why regularization is an important strategy to improve your machine learning models. Plus, learn what bias-variance trade-off is and how lambda values play in regularization algorithms.

March 20, 2024

Article

[Featured Image] A video game developer sits at a desk and incorporates deep reinforcement learning into a project.

What Is Deep Reinforcement Learning?

Deep reinforcement learning is a subset of machine learning that results in nuanced insights. Learn more about deep reinforcement learning, including asynchronous methods for deep reinforcement learning and deep reinforcement learning tutorials.

March 20, 2024

Article

[Featured Image] A bioinformatics scientist works in a lab.

What Is a Bioinformatics Scientist?

Discover what a bioinformatics scientist does. Explore daily tasks and responsibilities, learn about the requirements for the job, and find out about possible next steps.

March 20, 2024

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.

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