Artificial Intelligence

Learn Artificial Intelligence from the best Artificial Intelligence tutorials, including the most popular Artificial Intelligence online courses, videos, books, podcasts, and blogs.

Artificial Intelligence Foundations: Machine Learning (LinkedIn Learning)

In this course, we review the definition and types of machine learning: supervised, unsupervised, and reinforcement. Then you can see how to use popular algorithms such as decision trees, clustering, and regression analysis to see patterns in your massive data sets.

Uncertain Knowledge and Reasoning in Artificial Intelligence

Learn how to take informed decisions based on probabilities and expert knowledge

Problem Solving with Artificial Intelligence

Learn how to solve problems using factors such as searching, informed search, Adversarial Search and Games, Constraint Satisfaction, Local Search, and Applications.

Introduction to Artificial Intelligence

Learn what exactly AI is, what are its different facets. Basic introduction to, "What is AI?", AI schools of thoughts, Alan Turing's contribution, etc. 3+ hours of content geared towards explaining basic ideas behind AI.

Introduction to AI

Learn Artificial Intelligence Learning Approaches, Tools, Problems, and Applications.

Learn the fundamentals of Artificial Intelligence (edX)

Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems.

Applied AI: Artificial Intelligence with IBM Watson Specialization (Coursera)

Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.

AI Foundations for Everyone Specialization

This specialization is designed for those with little or no background in AI, whether you have technology background or not, and does not require any programming skills.

IBM Applied AI Professional Certificate (Coursera)

Kickstart your career in artificial intelligence. Learn Python, build a chatbot, explore machine learning and computer vision, and leverage IBM Watson.

IBM AI Engineering Professional Certificate

This 6-course Professional Certificate is designed to equip you with the tools you need to succeed in your career as an AI or ML engineer. Learn how to provide business insights from big data using machine learning and deep learning techniques.

Neural Networks and Deep Learning (Coursera)

Neural Networks and Deep Learning - In the first course of the Deep Learning Specialization, you will study the foundational concept of neural networks and deep learning.

Machine Learning for Investment Professionals (Coursera)

This course is uniquely tailored to the needs of investment professionals or those with investment industry knowledge who want to develop a basic, practical understanding of machine learning techniques and how they are used in the investment process. This course is part of the Data Science for Investment Professionals Specialization offered by CFA Institute.

Machine Learning from Stanford University (Coursera)

This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

Introduction to Artificial Intelligence (Coursera)

In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks.

ntroduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (Coursera)

If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This course is part of the upcoming Machine Learning in Tensorflow Specialization and will teach you best practices for using TensorFlow, a popular open-source framework for machine learning.

AI For Everyone (Coursera)

AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take.

AI Crash Course: A Fun and Hands On Introduction

Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning.

Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach, 3e offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Number one in its field, this textbook is ideal for one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence.

Knowledge-Based AI: Cognitive Systems by Georgia Tech (Udacity)

This is a core course in artificial intelligence. It is designed to be a challenging course, involving significant independent work, readings, assignments, and projects. It covers structured knowledge representations, as well as knowledge-based methods of problem solving, planning, decision-making, and learning.

AI Programming with Python (Udacity)

AI Programming with Python Learn Python, NumPy, Pandas, Matplotlib, PyTorch, Calculus, and Linear Algebra, and the foundations for building your own neural network.