![[Featured Image] A woman works on a laptop computer at a wooden table outdoors.](https://images.ctfassets.net/wp1lcwdav1p1/71XqVEOYwIXYNFSJ4NiUpw/d9ee9b0f821cad14d958a97646831822/iStock-1182081392.jpg?w=330&h=216&q=60&fit=fill&f=faces&fm=jpg&fl=progressive)
How to Learn Artificial Intelligence: A Beginner’s Guide
This guide to learning artificial intelligence is suitable for any beginner, no matter where you’re starting from.
September 6, 2023
Article
8 Days Left! Get $70+ in savings and build skills with Coursera Plus. Save 40% for 3 months.
Explore articles about machine learning, AI, and deep learning. Learn about career paths, Python libraries, ML algorithms, and how to build skills for an entry-level machine learning engineer role.

Gain core machine learning skills with tech industry leaders

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Model Training, Applied Machine Learning, Machine Learning Algorithms, Transfer Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Model Evaluation, Responsible AI, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning
★ 4.9 (39K) · Beginner · Specialization · 1 - 3 Months

Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning
★ 4.5 (316) · Beginner · Course · 1 - 4 Weeks

University of Pennsylvania
Skills you'll gain: Statistical Machine Learning, Model Evaluation, Statistical Methods, Logistic Regression, Statistical Modeling, Python Programming, Supervised Learning, Machine Learning Methods, Machine Learning, Classification Algorithms, Regression Analysis, Statistical Analysis, Applied Machine Learning, Predictive Modeling, Probability & Statistics, Bayesian Statistics, Dimensionality Reduction, Statistical Hypothesis Testing, Model Optimization
★ 5 (6) · Intermediate · Course · 1 - 4 Weeks
Machine learning (ML) is an in-demand field spanning various industries, from health care to finance. As a machine learning engineer, you’ll work with a team of data scientists to research and develop machine learning solutions. You’ll create, test, and optimize ML algorithms to automate workflows and improve data management. Learn more about how to prepare for an entry-level machine learning engineer role and how Coursera can help:
Find your career track: Machine Learning Career Paths: Explore Roles & Specializations
Watch on YouTube: Career Spotlight: Machine Learning Engineer
Ready to start learning? Explore our catalog of machine learning courses or accelerate your career growth with a Coursera Plus subscription. When you enroll in either the monthly or annual option, you’ll get access to over 10,000 courses.
Machine learning skills can open the door to a wide range of careers, as more and more companies seek to harness these techniques and artificial intelligence (AI) to automate a growing range of processes. Some companies may specifically hire for machine learning engineers, but machine learning skills can also be important for data scientists, data analysts, and data engineers.
There are more specialized roles available for machine learning experts, too. Many companies in the financial industry may employ business intelligence analysts and decision scientists who can leverage machine learning skills to automate systems for delivering market insights. And companies building Internet of Things (IoT) that rely on voice recognition or other human inputs may employ natural language processing engineers or human-centered machine learning designers.
You can earn Course Certificates, Specialization Certificates, and Professional Certificates, as well as university credentials via MasterTrack Certificates and full degrees. Popular options include the IBM AI Developer Professional Certificate and IBM AI Engineering Professional Certificate.
The average base pay for a machine learning engineer in the US is $127,712 as of March 2024 [1].
According to a December 2020 study by Burning Glass, demand for AI and machine learning skills is projected to grow by 71 percent 2020-2025. The same study reports a $14,175 salary premium associated with these skills [2].

