Research: Top Online Artificial Intelligence Courses and Programs

Artificial Intelligence (AI) and Machine Learning algorithms are transforming entire industries and defining the next generation of software solutions.

Experts in these data-driven technologies who understand natural language, speech, vision, etc. are in high demand.

AI is estimated to create an additional $13 trillion of value annually by 2030, according to McKinsey Global Institute.

This list features the most successful programs collected by IBL News.

 

– MIT Management Executive Education and MIT CSAIL

Artificial Intelligence: Implications for Business Strategy – Online Short Course

  • In collaboration with online education provider GetSmarter, subsidiary of 2U, Inc.
  • 6 weeks, excluding 1-week orientation; 6-8 hours per week, self-paced, entirely online; weekly modules, flexible learning
  • Program fees: $2,800
  • Certificate of completion from the MIT Sloan School of Management
  • 6 modules; personalized, people-mediated online learning experience
  • Brochure


– MIT

Deep Learning, Self-Driving Cars, Artificial General Intelligence

  • Collection of MIT courses and lectures on deep learning, deep reinforcement learning, autonomous vehicles, and artificial intelligence taught by Lex Fridman.


– Imperial College London – Coursera.org

Master of Science of Machine Learning

 

– Emeritus Institute of Management

Postgraduate Diploma in Machine Learning and Artificial Intelligence 

  • In collaboration with Columbia Engineering Executive Education
  • Starts on March 28, 2019
  • Duration: 9 months, online, 6-8 hours per week
  • Program Fees: $3,000. Payable in two equal installments. Non-refundable application fee: $50
  • Learning journey includes video lectures, discussions, quizzes, application assignments, capstone project, and live online teaching sessions
  • Two modules (Applied machine learning; Applied artificial intelligence) and a capstone project
  • Access upon completion to the Emeritus network

 

– Emeritus Institute of Management

Applied Artificial Intelligence Advanced Program

  • In collaboration with Columbia Engineering Executive Education
  • Starts on 28 Febrero 2019
  • Duration: 3 months, online, 6-8 hours per week. Twelve modules.
  • Program Fees: $1,200.
  • Pre-Requisites: Undergraduate knowledge of linear algebra (vectors, matrices, derivatives), calculus, basic probability theory. You should be comfortable with Python or any other programming language. All assignments/application projects will be done using the Python programming language.
  • Learning journey includes video lectures, discussions, quizzes, application assignments, capstone project, and live online teaching sessions

 

– Columbia University – ColumbiaX on edX

MicroMasters Program in Artificial Intelligence

  • 4 Courses for $1,080. Free Audit, with no certificate, graded assignments, and limited access
  • Each course is 8-10 hours per week, for 12 weeks, with an individual cost of $300
  • Courses in this program: Artificial Intelligence (AI), Machine Learning, Robotics, Animation and CGI Motion
  • Instructor-led format, with assignments and exams with due dates
  • Credit-eligible MicroMasters program credential
    If the learner is accepted in the Master of Computer Science, it will count 7.5 of the 30 credits required for graduation on-campus or online Master of Computer Science program. The program represents 25% of the coursework toward a Master’s degree in Computer Science at Columbia.
  • Video

 

– Microsoft – edX.org

Professional Program in Artificial Intelligence

 

– Georgia Tech – edX.org

Machine Learning

  • 14 weeks, 8-10 hours per week
  • Free. Add a Verified Certificate for $99
  • Intermediate level
  • English. Subtitles: English
  • Taught by Charles Isbell

 

– Universidad Carlos III de Madrid (UC3M) – edX.org

Introducción a la visión por computador: desarrollo de aplicaciones con OpenCV

  • 7 weeks, 5-7 hours per week
  • Free. Add a Verified Certificate for $50
  • Intermediate level
  • Spanish. Subtitles: Spanish
  • Taught by Arturo de la Escalera, José María Armingol, David Martín Gómez, Fernando García, Abdulla H. Al-Kaff

 

– Stanford University – Coursera.org

Machine Learning

  • 100% online, flexible deadlines, free online course (audit)
  • Approx. 55 hours to complete; 11-weeks; suggested: 7 hours/week
  • English. Subtitles in English, Chinese (Simplified), Hebrew, Spanish, Hindi, Japanese, Korean, Portuguese
  • Enrolling for a Certificate gives access to all course materials, including all videos, quizzes, and programming and graded assignments
  • One of the best and most popular courses at Coursera, with 2.2 million students
  • Taught by Andrew Ng, AI guru, Co-Founder at Corsera and Adjunct Professor at Stanford University

 

– Deeplearning.ai – Coursera.org

AI For Everyone

  • 100% online, flexible deadlines, free online course except for graded items (audit)
  • Approx. 11 hours to complete. Suggested: 4 weeks of study, 2-3 hours/week. Beginner level
  • $49
  • Certificate
  • English. Subtitles: English.
  • 4 Weeks: What is AI, Building All Projects, AI in Your Company, AI and Society
  • Taught by AI guru Andrew Ng

 

– Deeplearning.ai – Coursera.org

Deep Learning Specialization

  • 100% online, flexible deadlines
  • Approx. 3 months to complete. Suggested 11 hours/week. Intermediate level
  • $49 per month
  • English. Subtitles: English, Chinese (Traditional), Arabic, Ukrainian, Chinese (Simplified), Portuguese (Brazilian), Korean, Turkish, Japanese
  • 5 courses: Neural Networks and Deep Learning, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Structuring Machine Learning Projects, Convolutional Neural Networks, Sequence Models.
  • Taught by AI guru Andrew Ng, with two teaching assistants.
  • NVIDIA’s Deep Learning Institute as an industry partner.

 

– Google Cloud – Coursera.org

Machine Learning with TensorFlow on Google Cloud Platform Specialization

  • 100% online, flexible deadlines
  • Approx. 1 month to complete. Suggested: 15 hours/week. Intermediate level
  • $49 per month
  • English. Subtitles: English, French, Portuguese (Brazilian), German, Spanish, Japanese
  • 5 courses: How Google does Machine Learning, Launching into Machine Learning, Intro to TensorFlow, Feature Engineering, Art and Science of Machine Learning.

 

– University of Washington – Coursera.org

Machine Learning Specialization

  • 100% online, flexible deadlines
  • Approx. 8 months to complete. Suggested 6 hours/week. Intermediate level
  • $49 per month
  • English. Subtitles in English, Korean, Vietnamese, Chinese (Simplified), Arabic
  • 4 courses: Machine Learning Foundations: A Case Study Approach; Machine Learning: Regression; Machine Learning: Classification; Machine Learning: Clustering & Retrieval
  • Taught by Carlos Guestrin, Amazon Professor of Machine Learning; and Emily Fox, Amazon Professor of Machine Learning

 

– NYU Tandon School of Engineering – Coursera.org

Machine Learning and Reinforcement Learning in Finance Specialization

  • 100% online, flexible deadlines
  • Approx. 5 months to complete. Suggested: 9 hours/week. Intermediate level
  • $49 per month
  • English. Subtitles: English.
  • 4 courses: Guided Tour of Machine Learning in Finance, Fundamentals of Machine Learning in Finance, Reinforcement Learning in Finance, Overview of Advanced Methods of Reinforcement Learning in Finance.
  • Taught by Dr. Igor Halperin

 

– Imperial College London – Coursera.org

Mathematics for Machine Learning Specialization

  • 100% online, flexible deadlines
  • Approx. 2 months to complete. Suggested: 12 hours/week. Beginner level
  • $49 per month
  • English. Subtitles: English.
  • 3 courses: Mathematics for Machine Learning: Linear Algebra, Mathematics for Machine Learning: Multivariate Calculus, Mathematics for Machine Learning: PCA.

 

– National Research University – Higher School of Economics (HSE) (Russia) – Coursera.org

Advanced Machine Learning Specialization

  • 100% online, flexible deadlines
  • Advanced level
  • $49 per month
  • English. Subtitles in English
  • 7 courses: Introduction to Deep Learning, How to Win a Data Science Competition: Learn from Top Kagglers, Bayesian Methods for Machine Learning, Practical Reinforcement Learning, Deep Learning in Computer Vision, Natural Language Processing, Addressing Large Hadron Collider Challenges by Machine Learning.
  • Taught by 21 instructors

 

– School of Artificial Intelligence – Udacity

Intro to Artificial Intelligence

  • Free online, self-paced
  • Approx. 4 months. Two lessons
  • Intermediate level
  • Taught by Sebastian Thurn (Udacity) and Peter Norvig (Google)

 

– School of Artificial Intelligence – Udacity

Artificial Intelligence for Robotics

  • Free online, self-paced
  • Approx. 2 months. Seven lessons
  • Advanced level
  • Taught by Sebastian Thurn, Founder at Udacity

 

–  Georgia Tech – Udacity

Knowledge-Based AI: Cognitive Systems

  • Free online, self-paced
  • Approx. 7 weeks. Nine lessons
  • Advanced level
  • Taught by Ashok Goel, David Joyner

 

–  Georgia Tech – Udacity

Artificial Intelligence (CS 6601)

  • Free online, self-paced
  • Approx. 4 months. Three lessons
  • Intermediate level
  • Taught by Thad Starner


–  Georgia Tech – Udacity

Machine Learning (Supervised, Unsupervised & Reinforcement)

  • Free online, self-paced
  • Approx. 4 months. Three lessons
  • Intermediate level
  • Taught by Michael Littman, Charles Isbell, Puskar Kolhe



–  Georgia Tech – Udacity

Machine Learning: Unsupervised Learning (Conversations on Analyzing Data)

  • Free online, self-paced
  • Approx. 4 months. Six lessons
  • Intermediate level
  • Taught by Charles Isbell, Michael Littman, Puskar Kolhe

 

–  Georgia Tech – Udacity

Introduction to Computer Vision (CS 6476)

  • Free online, self-paced
  • Approx. 4 months. Ten lessons
  • Intermediate level
  • Taught by Aaron Bobick, Irfan Essa, Arpan Chakraborty

 

–  Google – Udacity

Intro to Deep Learning

  • Free online, self-paced
  • Approx. 3 months. Four lessons
  • Intermediate level
  • Taught by Vincent Vanhoucke, Arpan Chakraborty

 

– School of Artificial Intelligence – Udacity

Intro to Self-Driving Cars Nanodegree

  • One 4-month term. Study 10 hours/week and complete in four months. Intermediate level
  • $999 one time payment or $84 per month
  • Prerequisites: Programming & Mathematics
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Taught by Sebastian Thurn, Founder at Udacity

 

– School of Artificial Intelligence – Udacity

Self Driving Car Engineer – Nanodegree Program

  • Two 3-months terms. Study 15 hours/week and complete in six months. Advanced level
  • $1,199 one time payment or $100 per month
  • Prerequisites: Python, C++, Mathematics
  • Term 1: Computer Vision, Deep Learning, and Sensor Fusion. Term 2: Location Path Planning, Control, and System Integration.
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in partnership with Mercedes Benz, Nvidia, Uber ATG, Didi, BMW, McLaren
  • Taught by Sebastian Thurn, Founder at Udacity

 

– School of Artificial Intelligence – Udacity

Flying Car and Autonomous Flight Engineer Nanodegree

  • One 4-month term. Study 15 hours/week and complete in four months. Intermediate level
  • $1,199 one time payment or $100 per month
  • Prerequisites: Programming & Mathematics
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Taught by Sebastian Thurn, Nicholas Roy, Angela Schoelig, Raffaello D’Andrea, Sergei Lupashin

 

–  School of Artificial Intelligence – Udacity

Deep Learning – Nanodegree Program

  • One 4-month term. Study 12 hours/week and complete in four months.
  • $999 one time payment or $84 per month
  • Concepts covered: Deep learning, Neural Networks, Jupyter Notebooks, CNNs, GANS
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in collaboration with AWS, Facebook Artificial Intelligence
  • Taught by Sebastian Thurn, Ian Goodfellow, Jun-Yan Zhu, Andrew Trask

 

–  School of Artificial Intelligence – Udacity

Natural Language Processing – Nanodegree Program

  • One 3-month term. Study 10-15 hours/week and complete in three months.
  • $999 one time payment or $84 per month
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in collaboration with Amazon Alexa, IBM Watson
  • Taught by Luis Serrano, Jay Alammar, Arpan Chakraborty, Dana Sheahen

 

–  School of Artificial Intelligence – Udacity

Machine Learning Engineer

  • Two 2-month terms. Study 10 hours/week and complete in six months.
  • $999 one time payment or $84 per month (Per-term)
  • Concepts covered: Machine Learning, Supervised Learning, Unsupervised Learning, Reinforcement Learning, Deep Learning
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in collaboration with Kaggle, AWS
  • Taught by Arpan Chakraborty, Mat Leonard, Alexis Cook, Jay Alammar, Sebastian Thurn, Ortal Arel

 

–  School of Artificial Intelligence – Udacity

Artificial Intelligence

  • One 3-month term. Study 10-15 hours/week and complete in three months.
  • $999 one time payment or $84 per month
  • Concepts covered: AI Algorithms, Search Algorithms, Optimization, Planning, Pattern Recognition
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Taught by Peter Norvig (Google), Sebastian Thurn (Udacity), Thad Starner (Georgia Tech)

 

–  School of Artificial Intelligence – Udacity

Computer Vision

  • One 3-month term. Study 10-15 hours/week and complete in three months.
  • $999 one time payment or $84 per month
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in collaboration with Affectiva, Nvidia’s Deep Learning Institute
  • Taught by Sebastian Thurn, Founder at Udacity

 


–  School of Artificial Intelligence – Udacity

Deep Reinforcement Learning

  • One 4-month term. Study 10-15 hours/week and complete in four months.
  • $999 one time payment or $84 per month
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in collaboration with Unity, Nvidia’s Deep Learning Institute

 

–  School of Artificial Intelligence – Udacity

AI Programming with Python

  • One 3-month term. Study 10 hours/week and complete in three months.
  • $599 one time payment or $50 per month
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Taught by Luis Serrano, Jennifer Staab, Juan Delgado, Grant Sanderson, Mat Leonard, Mike Yi, Juno Lee, Andrew Paster

 

–  School of Artificial Intelligence – Udacity

Artificial Intelligence for Trading

  • Two 3-month terms. Study 10 hours/week and complete in six months.
  • $999 one time payment or $80 per month (per term)
  • Prerequisites: Python programming & Mathematics
  • Term 1: Quantitative Trading; Term 2: AI Algorithm in Trading.
  • A dedicated personal mentor, weekly live Q&A sessions and webinars, personalized learning plan
  • Syllabus PDF
  • Built in partnership with WorldQuant
  • Taught by Arpan Chakraborty, Elizabeth Otto Hamel, Eddy Shyu, Brok Bucholtz, Parnian Barkatain, Juan Delgado, Luis Serrano, Cezanne Camacho, Mat Leonard


–  NVIDIA Deep Learning Institute

All of the courses

 

–  IBM Cognitive Class .ai

Deep Learning

 

–  Stanford University

CS224n: Natural Language Processing with Deep Learning

  • 3 months
  • Certification only for Stanford students
  • Supplement: YouTube videos

CS231n: Convolutional Neural Networks for Visual Recognition

  • 3 months
  • Certification only for Stanford students
  • Supplement: YouTube videos

 

–  Caltech

CS156: Machine Learning Course

 

–  University College London (UCL)

Introduction to Reinforcement Learning

Advanced Deep Learning & Reinforcement Learning

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