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 programmers working together in an office learning how to become an AI engineer.

How to Become an AI Engineer

For an exciting career that combines cutting-edge technology and engineering, find out how to become an AI engineer. Discover what the job entails, what steps you need to take to get it, and how and where to start.

March 18, 2025

Article

[Featured image] Colleagues working together to decide whether precision vs recall machine learning is more appropriate to evaluate performance.

Precision vs. Recall in Machine Learning: What’s the Difference?

Learn about two important metrics, precision and recall, when it comes to evaluating a machine learning model beyond just accuracy and error percentage.

March 18, 2025

Article

[Featured Image] A person with long black hair works on their laptop in an office and navigates ChatGPT using OpenAI temperature.

What Is OpenAI Temperature?

OpenAI temperature is a crucial parameter in determining the type of output ChatGPT provides. Learn more about OpenAI temperature, how it works, and when and how to use it.

March 18, 2025

Article

[Featured Image] Two programmers working together in an office learning how to become an AI engineer.

How to Become an AI Engineer

For an exciting career that combines cutting-edge technology and engineering, find out how to become an AI engineer. Discover what the job entails, what steps you need to take to get it, and how and where to start.

March 18, 2025

Article

[Featured image] Colleagues working together to decide whether precision vs recall machine learning is more appropriate to evaluate performance.

Precision vs. Recall in Machine Learning: What’s the Difference?

Learn about two important metrics, precision and recall, when it comes to evaluating a machine learning model beyond just accuracy and error percentage.

March 18, 2025

Article

AI and machine learning courses

IBM

Skills you'll gain: Artificial Intelligence, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Artificial Neural Networks, Governance, Machine Learning, Business Transformation, Ethical Standards And Conduct, Computer Vision, Emerging Technologies, Natural Language Processing

4.7
Rating, 4.7 out of 5 stars
18K reviews

Beginner · Course · 1 - 4 Weeks

University of Pennsylvania

Skills you'll gain: Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Computational Thinking, Programming Principles, Computer Science

4.6
Rating, 4.6 out of 5 stars
15 reviews

Intermediate · Course · 1 - 4 Weeks

Google

Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Artificial Intelligence, Data Ethics, Security Awareness, Business Workflow Analysis, Innovation, Automation, Workflow Management, Information Privacy, Human Computer Interaction, Content Creation, Natural Language Processing, Complex Problem Solving

4.7
Rating, 4.7 out of 5 stars
11K reviews

Beginner · Course · 1 - 3 Months

[Feature Image] After preparing to answer OpenAI interview questions, applicants wait to meet with interviewers.

10 OpenAI Interview Questions

Prepare for your OpenAI interview with these essential questions and insights. Discover more about how to navigate the interview process effectively.

March 18, 2025

Article

[Featured image] Two machine learning colleagues working with NLP algorithms in an office.

Demystifying NLP Algorithms: A Comprehensive Guide

Natural Language Processing (NLP) algorithms teach computers to understand human language and respond to it in the most human-like way possible. Learn more about this exciting sub-field of artificial intelligence on Coursera.

March 18, 2025

Article

[Featured Image] A data scientist sits at a computer, using neural network visualization tools to simplify data.

Essential Tools for Neural Network Visualization

Explore the benefits of neural network visualization tools, such as optimizing model performance, aiding in debugging, and enhancing model transparency.

March 18, 2025

Article

[Featured image] A machine learning engineer using neural network regularization to correct overfitting using a touchpad.

Neural Network Regularization Techniques

Boost your neural network model performance and avoid the inconvenience of overfitting with these key regularization strategies. Understand how L1 and L2, dropout, batch normalization, and early stopping regularization can help.

March 18, 2025

Article

[Featured image] A machine learning engineer creating neural network graphs in an office.

Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models

Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and common visualization tools.

March 18, 2025

Article

[Featured image] A machine learning engineer using neural network classification to categorize data in an office.

What Is Neural Network Classification? Techniques and Applications

Neural network (NN) classification is a method of classifying data into categories using machine learning. Learn more about neural network classification algorithms and how they work.

March 18, 2025

Article

[Feature Image] After exploring the metaverse versus virtual reality, a gamer in a gray short-sleeved shirt wears virtual reality glasses to experience VR for themselves.

Metaverse vs. Virtual Reality: What’s the Difference?

Discover the benefits and potential drawbacks of these future-forward technologies. Explore the immersive world of virtual reality (VR), augmented reality (AR), and the metaverse and their expanding potential in various industries.

March 18, 2025

Article

[Featured Image] Two deep learning specialists look at computer screens and discuss LLM training.

Navigating LLM Training: A Comprehensive Guide

Large language models (LLMs) are machine learning programs trained to recognize patterns in massive data sets and, via predictive neural algorithms, produce human-like text responses to queries. Learn more about this exciting technological development.

March 17, 2025

Article

[Featured image] Machine learning professionals discussing layer normalization vs batch normalization.

Layer Normalization vs. Batch Normalization: What’s the Difference?

Explore the differences between layer normalization and batch normalization, how these methods improve the speed and efficiency of artificial neural networks, and how you can start learning more about using these methods.

March 17, 2025

Article

[Featured Image] A person with long black hair works on their laptop in an office and navigates ChatGPT using OpenAI temperature.

What Is OpenAI Temperature?

OpenAI temperature is a crucial parameter in determining the type of output ChatGPT provides. Learn more about OpenAI temperature, how it works, and when and how to use it.

March 18, 2025

Article

[Feature Image] After preparing to answer OpenAI interview questions, applicants wait to meet with interviewers.

10 OpenAI Interview Questions

Prepare for your OpenAI interview with these essential questions and insights. Discover more about how to navigate the interview process effectively.

March 18, 2025

Article

[Featured image] Two machine learning colleagues working with NLP algorithms in an office.

Demystifying NLP Algorithms: A Comprehensive Guide

Natural Language Processing (NLP) algorithms teach computers to understand human language and respond to it in the most human-like way possible. Learn more about this exciting sub-field of artificial intelligence on Coursera.

March 18, 2025

Article

[Featured Image] A data scientist sits at a computer, using neural network visualization tools to simplify data.

Essential Tools for Neural Network Visualization

Explore the benefits of neural network visualization tools, such as optimizing model performance, aiding in debugging, and enhancing model transparency.

March 18, 2025

Article

[Featured image] A machine learning engineer using neural network regularization to correct overfitting using a touchpad.

Neural Network Regularization Techniques

Boost your neural network model performance and avoid the inconvenience of overfitting with these key regularization strategies. Understand how L1 and L2, dropout, batch normalization, and early stopping regularization can help.

March 18, 2025

Article

[Featured image] A machine learning engineer creating neural network graphs in an office.

Exploring Neural Network Graphs: Understanding the Visual Representation of Deep Learning Models

Neural network graphs are an important part of designing and optimizing your neural network architecture. Explore the basic components of these graphs and common visualization tools.

March 18, 2025

Article

[Featured image] A machine learning engineer using neural network classification to categorize data in an office.

What Is Neural Network Classification? Techniques and Applications

Neural network (NN) classification is a method of classifying data into categories using machine learning. Learn more about neural network classification algorithms and how they work.

March 18, 2025

Article

[Feature Image] After exploring the metaverse versus virtual reality, a gamer in a gray short-sleeved shirt wears virtual reality glasses to experience VR for themselves.

Metaverse vs. Virtual Reality: What’s the Difference?

Discover the benefits and potential drawbacks of these future-forward technologies. Explore the immersive world of virtual reality (VR), augmented reality (AR), and the metaverse and their expanding potential in various industries.

March 18, 2025

Article

[Featured Image] Two deep learning specialists look at computer screens and discuss LLM training.

Navigating LLM Training: A Comprehensive Guide

Large language models (LLMs) are machine learning programs trained to recognize patterns in massive data sets and, via predictive neural algorithms, produce human-like text responses to queries. Learn more about this exciting technological development.

March 17, 2025

Article

[Featured image] Machine learning professionals discussing layer normalization vs batch normalization.

Layer Normalization vs. Batch Normalization: What’s the Difference?

Explore the differences between layer normalization and batch normalization, how these methods improve the speed and efficiency of artificial neural networks, and how you can start learning more about using these methods.

March 17, 2025

Article

AI and machine learning are changing the way we work, creating new roles and shifting the way businesses innovate. If you're interested in learning about AI and machine learning, we've gathered free articles and resources on those and other data-centric topics, including:

  • Data analytics

  • Data basics

  • Data science

  • Generative AI and ChatGPT

Frequently asked questions (FAQ)