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.

[Featured Image] A group of people are having a meeting at a table.

10 Machine Learning Interview Questions (+ Tips to Answer Them)

Machine learning interviews give you the opportunity to showcase your skills, knowledge, and work. Read on to find some of the most common questions you can expect to be asked and find tips on how you can answer them with confidence.

April 1, 2022

Article

[Featured Image] A woman stands in a darkened room lined with video monitors and reviews information on a tablet.

3 Types of Machine Learning You Should Know

Machine learning is an exciting field and a subset of artificial intelligence. Use this guide to discover more about real-world applications, and the three types of machine learning you should know.

March 14, 2022

Article

[Featured Image] Two machine learning engineers discuss the best algorithm to use for their statistical model.

What Is a Machine Learning Engineer? (+ How to Get Started)

Machine learning (ML) engineers work with algorithms, data, and artificial intelligence (AI). Learn about salary potential, job outlook, and steps to becoming a machine learning engineer.

February 22, 2022

Article

10 Machine Learning Interview Questions (+ Tips to Answer Them)

April 1, 2022

Article

3 Types of Machine Learning You Should Know

Machine learning is an exciting field and a subset of artificial intelligence. Use this guide to discover more about real-world applications, and the three types of machine learning you should know.

March 14, 2022

Article

AI and machine learning courses

Status: Free Trial

Google

Google AI Essentials

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation

Status: Free Trial

IBM

Introduction to Artificial Intelligence (AI)

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation

Status: Preview

Amazon Web Services

AWS Artificial Intelligence Practitioner

Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), AWS SageMaker, Amazon Web Services, Artificial Intelligence, Applied Machine Learning, Prompt Engineering, Large Language Modeling, Machine Learning, Data Governance, Cloud Security

[Featured Image] A woman works on a laptop at a living room table.

Deep Learning vs. Machine Learning: A Beginner’s Guide

Deep learning is machine learning, and machine learning is artificial intelligence. But how do they fit together (and how do you get started learning)?

June 4, 2021

Article

What Is a Machine Learning Engineer? (+ How to Get Started)

Machine learning (ML) engineers work with algorithms, data, and artificial intelligence (AI). Learn about salary potential, job outlook, and steps to becoming a machine learning engineer.

February 22, 2022

Article

Deep Learning vs. Machine Learning: A Beginner’s Guide

Deep learning is machine learning, and machine learning is artificial intelligence. But how do they fit together (and how do you get started learning)?

June 4, 2021

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.

Interested in artificial intelligence? Start by learning more about artificial intelligence and possible AI career paths.

Interested in machine learning? Read about core machine learning concepts, and explore machine learning certifications.

Interested in natural language processing? Dive into natural language processing applications and the skills required to succeed in this growing field.

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)

Machine learning is in some ways a hybrid field, existing at the intersection of computer science, data science, and algorithms and mathematical theory. On the computer science side, machine learning engineers and other professionals in this field typically need strong software engineering skills, from fundamentals like confident programming and coding ability to big picture familiarity with system design principles.

A familiarity with data science concepts is also important, particularly skills in data modeling and evaluation to ensure that the algorithms perform well and become more, not less accurate over time. And, because machine learning relies heavily on algorithms as well as the statistics and probability principles that underlie them, a solid theoretical background in mathematics can also be invaluable.‎