Deep Learning for AI

Leveraging Neural Networks: Models and Applications

Go Deeper With Carnegie Mellon University Deep Learning Skills for What’s Next

Expertise in deep learning is an in-demand skill for technical positions in software engineering and data science. Applications of artificial networks are wide-reaching and include solutions for problems in the language (speech recognition, translation), transportation (autonomous driving, real-time analysis), imaging (disease diagnosis, facial recognition), and many more areas across sports, and the healthcare industry.

Over the course of 10 weeks, you will gain an understanding of how neural networks operate and how to identify the right architecture for addressing your current and future challenges.

Carnegie Mellon University Is Ranked #1 in Artificial Intelligence (AI) Specialty and Graduate Programs for Computer Science

SOURCE: U.S. NEWS & WORLD REPORT

Key Outcomes

This 10-week online program is designed to provide software engineers, developers, data scientists, and AI and ML (Machine Learning) professionals with deeper technical skills, allowing you to solve more complex challenges and add more value to your organization.

Develop an understanding of deep learning techniques
Understand the structure, function, and training of key neural network architectures for building tools and systems
Build the confidence to apply deep learning methods to real-world problems

Program Modules

1Module 1: Introduction and Universal Approximation

2Module 2: Training Multilayer Perceptrons

3Module 3: Stochastic Gradient Descent and Optimizers

4Module 4: Basics of Convolutional Neural Networks (CNNs)

5Module 5: CNNs: Training and Variants

6Module 6: Basics of Recurrent Neural Networks (RNNs)

7Module 7: Connectionist Temporal Classification and Sequence-to-Sequence Models

8Module 8: Attention and Translation

9Module 9: Representations and Autoencoders

10Module 10: Transformers and Graph Networks, Variational Autoencoders, Generative Adversarial Networks

Program Experience

Office Hours With Learning Facilitators

Three Two-part Graded Programming Assignments

Graphic-Rich Lecture Videos

Knowledge Checks

Dedicated Program Support Team

Mobile Learning App

Peer Discussion

Capstone Project

Bonus Content on Advanced Topics

Who Should Attend?

This program is designed for participants seeking a more sophisticated understanding of neural network architectures and the confidence to deploy their skills to solve real-world artificial intelligence problems. This program is most suitable for:

Software Engineers
Software Developers
Data Scientists & Teams
AI & ML Professionals
Technology Professionals

Prerequisites: The subject matter in this program is rigorous. To ensure success, participants must have a strong working knowledge of linear algebra, calculus, statistics, probability, and object-oriented programming including Python.

Faculty

Bhiksha Raj

Professor, Language Technologies Institute, School of Computer Science, Carnegie Mellon University

Bhiksha Raj works on a variety of areas related to AI, with a focus on speech processing, and more generally on intelligent systems that can learn to understand and respond to...

Rita Singh

Professor, School of Computer Science, Carnegie Mellon University

Rita Singh works on research in the area of AI-based techniques for advanced human sensing and is currently focused on AI-driven voice forensics. She has worked in the areas o...

Certificate

Upon successful completion of the program, participants will receive a verified digital certificate of completion from Carnegie Mellon University School of Computer Science Executive Education. This is a training program and it is not eligible for academic credit.

Your digital certificate will be issued in your legal name and emailed to you at no additional cost upon completion of the program, per the stipulated requirements. All certificate images are for illustrative purposes only and may be subject to change at the discretion of Carnegie Mellon University’s School of Computer Science Executive Education.

The Carnegie Mellon School of Computer Science Executive Education learning experience

At Carnegie Mellon’s Executive Education Program in the School of Computer Science, we provide organizations and people access to the skills and tools necessary to solve real world technical problems by equipping the next generation of technology leaders with the experience, insights, and novel solutions developed by our community of computer science experts. From custom training programs to online individualized learning, our cutting-edge programming—backed by faculty who pioneered the field—takes your skillset to the next level, giving you the tools to tackle your company’s next great technological challenge.

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Didn't find what you were looking for? Write to us at learner.success@emeritus.org or Schedule a call with one of our Program Advisors or call us at +1 315 756 3771 (US) / +44 203 835 5826 (UK) / +65 3138 2533 (SG)

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Flexible payment options available.

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