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Deep Learning: Mastering Neural Networks
Transform Raw Data into Cutting-Edge AI Solutions
Deep Learning: Mastering Neural Networks
Dive into this subset of machine learning and discover the foundations, techniques, architectures, applications, and benefits that deep learning can offer your organization in this 8-week online course.
START DATE
April 22, 2025
DURATION
8 weeks
COMMITMENT
6-8 hours per week
PRICE
US$2,100
LANGUAGE
English
FORMAT
Online
Deep Learning: Mastering Neural Networks
Expand your skill set and help your organization make data-informed predictions.
Deep learning has transformed how organizations analyze data and make data-driven decisions, making it crucial for professionals to gain AI-related skills to stay competitive. This 8-week course from MIT xPRO offers you a comprehensive introduction to this field, combining theory and hands-on practice. You will gain skills and tools like Python to design and optimize neural networks for classification, regression, and sequential data processing. Also, master techniques like transfer learning, convolutional (CNN) and recurrent neural networks (RNN).
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.
- Understand advanced neural network architectures for application in software products.
- Gain strategic insights into AI and its potential impact on business models.
THIS COURSE IS AIMED AT
- Software engineers and developers aiming to build and optimize AI-driven applications.
- Data scientists and analysts looking to deepen their expertise in AI and machine learning.
- AI & ML professionals seeking to leverage neural network techniques to solve complex problems with innovative solutions.
- Technology professionals eager to explore cutting-edge advancements in AI and deep learning.
A basic knowledge of programming languages 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 participate fully.
CERTIFICATE
MEET YOUR INSTRUCTOR
DUANE S. BONING
Clarence J. LeBel Professor in Electrical Engineering | Professor of Electrical Engineering and Computer Science in the EECS Department at MIT
THE MIT XPRO LEARNING EXPERIENCE
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
