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
- 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
– 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 María Armingol, David Martín Gómez, Fernando García, 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
– 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
- 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++ (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 GPU (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
