Guided by real-world programming examples in TensorFlow and PyTorch, you’ll master neural network fundamentals, convolutional and recurrent architectures, and cutting-edge topics like transformers, large language models, and multimodal AI. By the end of this specialization, you’ll be equipped to build, train, and deploy deep learning models for image classification, language translation, and more—while understanding the ethical considerations essential for responsible AI innovation.
Learning Deep Learning Specialization
Discover new skills with 30% off courses from industry experts. Save now.
Learning Deep Learning Specialization
A Complete Guide to Deep Learning for AI. Learn the essential building blocks of deep neural networks and build advanced architectures.
Instructor: Pearson
Included with 
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
1 month at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Intermediate level
Recommended experience
1 month at 5 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Build and optimize deep learning models for tasks such as image classification, language modeling, machine translation, and multimodal applications using TensorFlow and PyTorch.
Understand and apply advanced architectures, including convolutional neural networks, recurrent neural networks, transformers, and large language models.
Develop practical skills in data handling, model evaluation, regularization, and ethical AI deployment for real-world scenarios.
Overview
Skills you'll gain
- Artificial Neural Networks
- Natural Language Processing
- Application Deployment
- Artificial Intelligence and Machine Learning (AI/ML)
- Performance Tuning
- Applied Machine Learning
- Deep Learning
- Machine Learning
- Computer Vision
- Image Analysis
- Algorithms
- Network Architecture
- Large Language Modeling
- Data Ethics
- Time Series Analysis and Forecasting
- Artificial Intelligence
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
August 2025
12 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from Pearson
Specialization - 3 course series
What you'll learn
Grasp the core concepts and history of deep learning, including neural network fundamentals and training algorithms.
Develop hands-on skills in building, training, and evaluating neural networks using TensorFlow and PyTorch.
Apply advanced techniques to solve real-world problems in image classification, language processing, and multimodal AI.
Understand practical considerations and ethical aspects of deploying deep learning in real-world applications.
Skills you'll gain
Category: Tensorflow
Category: Deep Learning
Category: PyTorch (Machine Learning Library)
Category: Artificial Neural Networks
Category: Machine Learning
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Network Architecture
Category: Linear Algebra
Category: Regression Analysis
Category: Large Language Modeling
Category: Python Programming
Category: Algorithms
What you'll learn
Build and optimize convolutional neural networks for advanced image classification tasks using TensorFlow and PyTorch.
Apply recurrent neural networks and LSTMs to sequential data problems, including time series forecasting and text autocompletion.
Develop neural language models and implement word embeddings for robust natural language processing.
Design and implement encoder-decoder architectures and Transformer models for machine translation and sequence-to-sequence tasks.
Skills you'll gain
Category: Deep Learning
Category: Natural Language Processing
Category: Time Series Analysis and Forecasting
Category: Tensorflow
Category: Artificial Neural Networks
Category: Applied Machine Learning
Category: Image Analysis
Category: Computer Vision
Category: PyTorch (Machine Learning Library)
Category: Large Language Modeling
Category: Network Architecture
What you'll learn
Master large language models and transformer architectures for advanced natural language processing applications.
Build and deploy multimodal networks that integrate multiple data types, such as text and images.
Implement multitask learning and solve advanced computer vision problems, including object detection and segmentation.
Apply ethical principles and practical strategies for tuning and deploying deep learning models in real-world settings.
Skills you'll gain
Category: Large Language Modeling
Category: Tensorflow
Category: PyTorch (Machine Learning Library)
Category: Deep Learning
Category: Computer Vision
Category: Prompt Engineering
Category: Data Ethics
Category: Artificial Intelligence
Category: Application Deployment
Category: Artificial Neural Networks
Category: Performance Tuning
Category: Natural Language Processing
Category: Image Analysis
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.
More questions
Financial aid available,