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
[Featured Image] A group of recruiters interviewing a candidate in a professional setting, reviewing a resume during the discussion about the prompt engineer role.

How to Write a Prompt Engineering Resume (Step-by-Step with Examples)

Prompt engineers design the inputs for generative artificial intelligence to get the desired outputs. Learn the important skills you need on your prompt engineer resume to land your ideal job.

May 14, 2025

Article

[Video thumbnail] Is AI Dangerous Uncover the Turth Behind the Hype

Let's Talk AI - What Are the Potential Risks and Benefits? [VIDEO]

AI is rapidly changing the world, but is it a force for good or a potential threat? This video dives into the risks and concerns surrounding AI, separating hype from legitimate dangers.

May 14, 2025

Article

[Featured Image] An engineer is learning the differences between AI and robotics while observing a robotic arm in a lab.

AI vs. Robotics: What’s the Difference?

Explore the key differences and intersections between artificial intelligence and robotics, their applications across industries, and their advantages and challenges in transforming workflows, decision-making, and automation.

May 9, 2025

Article

[Featured Image] A group of recruiters interviewing a candidate in a professional setting, reviewing a resume during the discussion about the prompt engineer role.

How to Write a Prompt Engineering Resume (Step-by-Step with Examples)

Prompt engineers design the inputs for generative artificial intelligence to get the desired outputs. Learn the important skills you need on your prompt engineer resume to land your ideal job.

May 14, 2025

Article

[Video thumbnail] Is AI Dangerous Uncover the Turth Behind the Hype

Let's Talk AI - What Are the Potential Risks and Benefits? [VIDEO]

AI is rapidly changing the world, but is it a force for good or a potential threat? This video dives into the risks and concerns surrounding AI, separating hype from legitimate dangers.

May 14, 2025

Article

AI and machine learning courses

Status: Free Trial

IBM

Skills you'll gain: Large Language Modeling, Artificial Intelligence, OpenAI, Generative AI, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), ChatGPT, Deep Learning, Business Transformation, Artificial Neural Networks, Digital Transformation, Prompt Engineering, Automation, Machine Learning, Governance, Business Technologies, Natural Language Processing, Computer Vision, Ethical Standards And Conduct, Applied Machine Learning

4.7
Rating, 4.7 out of 5 stars
19K reviews

Beginner · Course · 1 - 4 Weeks

DeepLearning.AI

Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Data Science, Needs Assessment, Deep Learning, Business Ethics, Artificial Neural Networks, Engineering Management

4.8
Rating, 4.8 out of 5 stars
48K reviews

Beginner · Course · 1 - 4 Weeks

Status: Free Trial

University of Pennsylvania

Skills you'll gain: Agentic systems, Artificial Intelligence, Algorithms, Python Programming, Theoretical Computer Science, Computer Science, Computer Programming

4.6
Rating, 4.6 out of 5 stars
21 reviews

Intermediate · Course · 1 - 4 Weeks

[Featured Image] A data scientist works with TensorFlow on their computer in a well-lit office while their colleagues work at nearby workstations.

TensorFlow Salary: Your 2025 Guide

Discover the average TensorFlow salary and how having knowledge and experience in this open-source library can enhance your salary in machine learning jobs. Consider other factors that affect your salary, including location, education, and experience.

May 9, 2025

Article

[Featured Image] A computer professional uses generative AI skills and programming skills to create content.

Essential Generative AI Skills

Expand your knowledge of the core competencies in generative AI (genAI), learn more about the technical and analytical skills necessary to excel with genAI, and discover its limitations.

May 8, 2025

Article

[Featured Image] Software developers answer the question, “What is lemmatization?” and discuss how it fits into natural language processing.

What Is Lemmatization?

Lemmatization is a common technique in natural language processing (NLP) that allows programmers to train algorithms efficiently and in a way that mirrors human language acquisition. Explore it in more detail to better understand its uses.

May 6, 2025

Article

[Featured image]: Two NLP researchers seated behind a computer, using latent space while developing a model.

What Is Latent Space?

Latent space is an abstract representation of complex data that is simpler, more compact, and more easily interpretable by computers. Explore how professionals use this concept to enhance machine learning models.

May 6, 2025

Article

[Featured Image] A computer programmer is hyperparameter tuning on a learning machine at work.

What Is Hyperparameter Tuning?

Learn what hyperparameter tuning is and how you can use different techniques to balance the performance, computational cost, and efficiency of your machine learning model.

May 6, 2025

Article

[Featured Image] A prompt engineer is at their computer practicing essential prompt engineering skills, including learning C++, a new computer language.

Essential Prompt Engineering Skills

Prompt engineering involves a human user guiding a generative artificial intelligence tool to provide a relevant and helpful output in response to a prompt. Discover the field of prompt engineering, the skills involved, and how to acquire them.

May 6, 2025

Article

[Featured Image] NLP professionals collaborating on code, with one software engineer pointing at the screen while discussing the natural language processing algorithms with their colleague in a tech workspace.

Natural Language Processing Job Description

Natural language processing job descriptions cover a variety of professionals working with language technologies. Some work primarily with data or machine learning programming; others develop applications people use daily. Learn more on Coursera.

May 6, 2025

Article

[Featured Image] A programmer analyzing code on a desktop PC in a work environment, focused on enhancing natural language processing skills.

Essential Natural Language Processing Skills

Natural language processing is an exciting subfield of artificial intelligence that involves training computers to learn human language in a human-like way. Discover several essential natural language processing skills and ways to build them.

May 6, 2025

Article

[Featured image: Three engineers on an NLP career path work together in a computer lab setting.]

4 Natural Language Processing Career Paths

Learn more about four distinct natural language processing (NLP) career paths, including NLP engineering, NLP research science, computational linguistics, and AI product management. Explore details about each of these potential NLP career paths.

May 6, 2025

Article

[Featured Image] An engineer is learning the differences between AI and robotics while observing a robotic arm in a lab.

AI vs. Robotics: What’s the Difference?

Explore the key differences and intersections between artificial intelligence and robotics, their applications across industries, and their advantages and challenges in transforming workflows, decision-making, and automation.

May 9, 2025

Article

[Featured Image] A data scientist works with TensorFlow on their computer in a well-lit office while their colleagues work at nearby workstations.

TensorFlow Salary: Your 2025 Guide

Discover the average TensorFlow salary and how having knowledge and experience in this open-source library can enhance your salary in machine learning jobs. Consider other factors that affect your salary, including location, education, and experience.

May 9, 2025

Article

[Featured Image] A computer professional uses generative AI skills and programming skills to create content.

Essential Generative AI Skills

Expand your knowledge of the core competencies in generative AI (genAI), learn more about the technical and analytical skills necessary to excel with genAI, and discover its limitations.

May 8, 2025

Article

[Featured Image] Software developers answer the question, “What is lemmatization?” and discuss how it fits into natural language processing.

What Is Lemmatization?

Lemmatization is a common technique in natural language processing (NLP) that allows programmers to train algorithms efficiently and in a way that mirrors human language acquisition. Explore it in more detail to better understand its uses.

May 6, 2025

Article

[Featured image]: Two NLP researchers seated behind a computer, using latent space while developing a model.

What Is Latent Space?

Latent space is an abstract representation of complex data that is simpler, more compact, and more easily interpretable by computers. Explore how professionals use this concept to enhance machine learning models.

May 6, 2025

Article

[Featured Image] A computer programmer is hyperparameter tuning on a learning machine at work.

What Is Hyperparameter Tuning?

Learn what hyperparameter tuning is and how you can use different techniques to balance the performance, computational cost, and efficiency of your machine learning model.

May 6, 2025

Article

[Featured Image] A prompt engineer is at their computer practicing essential prompt engineering skills, including learning C++, a new computer language.

Essential Prompt Engineering Skills

Prompt engineering involves a human user guiding a generative artificial intelligence tool to provide a relevant and helpful output in response to a prompt. Discover the field of prompt engineering, the skills involved, and how to acquire them.

May 6, 2025

Article

[Featured Image] NLP professionals collaborating on code, with one software engineer pointing at the screen while discussing the natural language processing algorithms with their colleague in a tech workspace.

Natural Language Processing Job Description

Natural language processing job descriptions cover a variety of professionals working with language technologies. Some work primarily with data or machine learning programming; others develop applications people use daily. Learn more on Coursera.

May 6, 2025

Article

[Featured Image] A programmer analyzing code on a desktop PC in a work environment, focused on enhancing natural language processing skills.

Essential Natural Language Processing Skills

Natural language processing is an exciting subfield of artificial intelligence that involves training computers to learn human language in a human-like way. Discover several essential natural language processing skills and ways to build them.

May 6, 2025

Article

[Featured image: Three engineers on an NLP career path work together in a computer lab setting.]

4 Natural Language Processing Career Paths

Learn more about four distinct natural language processing (NLP) career paths, including NLP engineering, NLP research science, computational linguistics, and AI product management. Explore details about each of these potential NLP career paths.

May 6, 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)