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 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

[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

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, Theoretical Computer Science

4.4
Rating, 4.4 out of 5 stars
36 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

British Standards Institution

Skills you'll gain: Responsible AI, Artificial Intelligence, Quality Management Systems, AI literacy, Data Ethics, Stakeholder Analysis, Systems Development Life Cycle, Stakeholder Management, Governance, Risk Management

Mixed · Course · 1 - 3 Months

[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] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

Article

[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

Article

[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

Article

[Featured Image] A machine learning engineer uses quantization to increase efficiency in their models.

What Is Quantization? Optimizing Data Compression

Explore quantization and why it’s used to optimize large machine learning models. Learn about how this technique might affect the speed, efficiency, accuracy, and resource requirements of your model.

March 18, 2025

Article

[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

Article

[Featured Image] A diverse group of professionals collaborating in a modern workspace, discussing reinforcement learning algorithms while engaging with a computer.

Reinforcement Learning Algorithms and Use Cases

Reinforcement learning algorithms allow artificial intelligence agents to learn the optimal way to perform a task through trial and error without human intervention. Explore reinforcement learning algorithms such as Q-learning and actor-critic.

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] Two data scientists look at a computer screen in their office and discuss Spark versus MapReduce.

Spark vs. MapReduce: What’s the Difference?

Learn about two Apache Software Foundation big data architectures, Spark and MapReduce, by exploring how they differ, their use cases, and when you need one or both for your data processing needs.

March 18, 2025

Article

[Feature Image] An aspiring computer vision professional researches semantic segmentation versus instance segmentation on a laptop to learn more about the two algorithms’ uses.

Semantic Segmentation vs. Instance Segmentation: What’s the Difference?

Explore two fundamental computer vision algorithms: semantic segmentation and instance segmentation. Learn how each operates and how to pick the proper option for your task.

March 18, 2025

Article

[Featured Image] Three machine learning professionals look at a computer screen in an office setting and discuss scaling laws for neural language models.

Understanding Scaling Laws for Neural Language Models

Scaling laws for neural language models explain how performance improves with increased model size, data, and computational resources. Explore neural language scaling laws, their users, and their importance when developing and deploying AI technology.

March 18, 2025

Article

[Featured Image] A machine learning engineer uses quantization to increase efficiency in their models.

What Is Quantization? Optimizing Data Compression

Explore quantization and why it’s used to optimize large machine learning models. Learn about how this technique might affect the speed, efficiency, accuracy, and resource requirements of your model.

March 18, 2025

Article

[Featured Image]: A person uses tools from a Python NLP library as they work on a language processing project.

Navigating a Python NLP Library: What You Need to Know

Explore the benefits of a Python NLP library and learn how to leverage these tools for your language processing projects.

March 18, 2025

Article

[Featured Image] A diverse group of professionals collaborating in a modern workspace, discussing reinforcement learning algorithms while engaging with a computer.

Reinforcement Learning Algorithms and Use Cases

Reinforcement learning algorithms allow artificial intelligence agents to learn the optimal way to perform a task through trial and error without human intervention. Explore reinforcement learning algorithms such as Q-learning and actor-critic.

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)