Expand your skill set and help your organization make data-informed predictions.
The AI revolution has brought about extensive technological advances: conversational systems like Siri or Alexa, driverless cars, and even automated traders that compete with their human counterparts on Wall Street. The subset of machine learning known as deep learning is the force behind many of these incredible applications.
With the rapid rise of big data across a multitude of industries, the ability to analyze it in order to detect trends and make data-driven predictions has become a necessity for organizations. And having both a solid theoretical foundation and a practical understanding of the basic building blocks of deep learning could be a differentiating factor for professionals in nearly any sector. This online course provides such expertise, backed by the reputation of one of the world’s leading research institutions in AI: MIT.
Throughout this course, you will:
- Explore the core mathematical and conceptual ideas underlying deep neural networks.
- Experiment with deep learning models and algorithms using available machine learning toolkits.
- Examine application approaches and case studies where deep learning is being used throughout a variety of industries.
This course is aimed at
- Tech enthusiasts who wish to learn more about deep learning and gain hands-on experience with the vast array of techniques and applications it offers.
- IT professionals looking to expand their skill set with some of the most common and powerful machine and deep learning algorithms.
- Professionals from nearly any industry (finance, logistics, biotech, manufacturing, and consulting, among others) that want to improve their data management abilities to generate valuable insights.
A basic knowledge of Python programming language is a prerequisite for this program. The course will, however, explain the necessary foundational concepts of machine learning and programming, allowing those without previous experience to fully participate.
Certificate
Meet your Instructor
Duane S. Boning
Clarence J. LeBel Professor of Electrical Engineering | Professor de Electrical Engineering y Computer Science en el departamento EECS de MIT.
The MIT xPRO learning experience
LEARN BY DOING
Practice processes and methods through simulations, evaluations, case studies, and tools.
LEARN FROM OTHERS
Connect with an international community of professionals while working on projects based on real-world examples.
LEARN ON DEMAND
Access all content online and watch videos on the go.
REFLECT AND APPLY
Apply your newly acquired skills in your organization, using examples from technical working environments and informed, practical advice.
DEMONSTRATE YOUR SUCCESS
Earn a Professional Certificate and 4.8 Continuing Education Units (CEUs) from MIT.
LEARN FROM THE BEST
Gain insights from MIT faculty and industry experts.
What is the course comprised of?
This course content is designed to maximize practicality through:
- Multiple-choice activities
- Interactive contents
- Projects to be developed as a team, adding value to your experience
- "Action Plan" activities (designed to apply what you have learned to your own company)
- Video content taught by mit faculty and experts from different industries
- Live webinars to clear up doubts and discuss what you have learned
- Additional recommended resources
Registering for the Course
STEP 1
Fill out the online registration form you’ll find below by clicking on “REGISTER.”
STEP 2
Make your secure payment.
STEP 3
Your spot will be confirmed upon receipt of your payment.
STEP 4
You’ll receive your virtual campus credentials to begin exploring the platform.