Research: Top Online Artificial Intelligence Courses and Programs
March 26, 2019
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.
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– 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 IntelligenceÂ
- 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
- 9 courses + final project; 8-16 hours per course.
- Program fees: $99 per course / $990 for the entire program
- Courses presented in a suggested order that builds your skills.
- Curriculum titles:
- Microsoft Professional Program for Artificial Intelligence
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– Georgia Tech – edX.org
- 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 MarÃa Armingol, David MartÃn Gómez, Fernando GarcÃa, Abdulla H. Al-Kaff
– Stanford University – Coursera.org
- 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
- 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
- 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
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– 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
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– 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
- 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
- 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
- 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
- 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
- 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
- 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
- Fundamentals of Deep Learning for Computer Vision (Self-paced, 8 hours, $90)
- Fundamentals of Accelerated Computing with CUDA C/C++Â (Self-paced, 8 hours, $90)
- Fundamentals of Accelerated Computing with CUDA Python  (Self-paced, 8 hours, $90)
– IBM Cognitive Class .ai
- Deep Learning Fundamentals (5 hours, free)
- Deep Learning with TensorFlow (10 hours, free)
- Accelerating Deep Learning with GPUÂ (5 hours, free)
- Introduction to Machine Learning with Sound (4 hours, free)
– 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
- 10 weeks (10-20 hours per week)
- YouTube videos
– University College London (UCL)
Introduction to Reinforcement Learning
Advanced Deep Learning & Reinforcement Learning
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