• For Individuals
  • For Businesses
  • For Universities
  • For Governments
Coursera
  • Online Degrees
  • Careers
  • Log In
  • Join for Free
    Coursera
    • Browse
    • Deep Learning

    Deep Learning Courses Online

    Study deep learning for advanced machine learning. Learn about neural networks, backpropagation, and deep learning frameworks.

    Skip to search results

    Filter by

    Subject
    Required
     *

    Language
    Required
     *

    The language used throughout the course, in both instruction and assessments.

    Learning Product
    Required
     *

    Build job-relevant skills in under 2 hours with hands-on tutorials.
    Learn from top instructors with graded assignments, videos, and discussion forums.
    Learn a new tool or skill in an interactive, hands-on environment.
    Get in-depth knowledge of a subject by completing a series of courses and projects.
    Earn career credentials from industry leaders that demonstrate your expertise.
    Earn career credentials while taking courses that count towards your Master’s degree.
    Earn your Bachelor’s or Master’s degree online for a fraction of the cost of in-person learning.
    Complete graduate-level learning without committing to a full degree program.
    Earn a university-issued career credential in a flexible, interactive format.

    Level
    Required
     *

    Duration
    Required
     *

    Skills
    Required
     *

    Subtitles
    Required
     *

    Educator
    Required
     *

    Explore the Deep Learning Course Catalog

    • Placeholder
      D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning, Text Mining, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Deep Learning for Object Detection

      Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Data Visualization, Applied Machine Learning, Data Cleansing, Data Analysis, Machine Learning, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      AI ML with Deep Learning and Supervised Models

      Skills you'll gain: Supervised Learning, Data Modeling, Applied Machine Learning, Data Analysis, Machine Learning Algorithms, Regression Analysis, Unsupervised Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Data Science, Keras (Neural Network Library), Machine Learning, Predictive Modeling, Data Mining, Artificial Neural Networks, Predictive Analytics, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics

      Beginner · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Jupyter, Data Manipulation, Data Science, Machine Learning Algorithms, Applied Mathematics, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Deep Learning Methods for Healthcare

      Skills you'll gain: Deep Learning, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Artificial Neural Networks, Computer Vision, Machine Learning, Medical Science and Research, Health Care, Medical Records, Jupyter, Python Programming, Electronic Medical Record

      3.8
      Rating, 3.8 out of 5 stars
      ·
      13 reviews

      Advanced · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Natural Language Processing in TensorFlow

      Skills you'll gain: Tensorflow, Natural Language Processing, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Text Mining, Applied Machine Learning, Machine Learning, Data Processing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.5K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      D

      DeepLearning.AI

      Generative Deep Learning with TensorFlow

      Skills you'll gain: Generative AI, Tensorflow, Image Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Methods, Unsupervised Learning, Computer Vision, Supervised Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      305 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      Status: New
      New
      W

      Whizlabs

      NVIDIA: Fundamentals of Deep Learning

      Skills you'll gain: Deep Learning, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Network Model, Network Architecture

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Deep Learning: Recurrent Neural Networks with Python

      Skills you'll gain: PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Application Deployment, Text Mining, Machine Learning, Natural Language Processing, Predictive Modeling, Time Series Analysis and Forecasting, Predictive Analytics, Network Architecture, Algorithms

      Beginner · Specialization · 1 - 3 Months

    • Placeholder
      U

      University of Colorado Boulder

      Deep Learning Applications for Computer Vision

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Applied Machine Learning, Deep Learning, Machine Learning Methods, Machine Learning Algorithms, Machine Learning, Artificial Intelligence, Algorithms

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      P

      Packt

      Foundations of Deep Learning and Neural Networks

      Skills you'll gain: Deep Learning, Artificial Neural Networks, Image Analysis, Keras (Neural Network Library), Tensorflow, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Network Architecture, Machine Learning Algorithms, Linear Algebra

      Intermediate · Course · 1 - 3 Months

    • Placeholder
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Tensorflow, Deep Learning, Image Analysis, Bayesian Statistics, Artificial Neural Networks, Machine Learning, Statistics, Unsupervised Learning, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      108 reviews

      Advanced · Course · 1 - 3 Months

    Deep Learning learners also search

    Beginner Deep Learning
    Deep Learning Projects
    Advanced Deep Learning
    Machine Learning
    Applied Machine Learning
    Beginner Machine Learning
    Machine Learning Projects
    Advanced Machine Learning
    1…567…421

    In summary, here are 10 of our most popular deep learning courses

    • Sequence Models: DeepLearning.AI
    • Deep Learning for Object Detection: MathWorks
    • AI ML with Deep Learning and Supervised Models: Simplilearn
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
    • Natural Language Processing in TensorFlow: DeepLearning.AI
    • Generative Deep Learning with TensorFlow: DeepLearning.AI
    • NVIDIA: Fundamentals of Deep Learning: Whizlabs
    • Deep Learning: Recurrent Neural Networks with Python: Packt
    • Deep Learning Applications for Computer Vision: University of Colorado Boulder

    Skills you can learn in Machine Learning

    Python Programming (33)
    Tensorflow (32)
    Deep Learning (30)
    Artificial Neural Network (24)
    Big Data (18)
    Statistical Classification (17)
    Reinforcement Learning (13)
    Algebra (10)
    Bayesian (10)
    Linear Algebra (10)
    Linear Regression (9)
    Numpy (9)

    Frequently Asked Questions about Deep Learning

    Deep learning is a powerful application of machine learning (ML) algorithms modeled after biological systems of information processing called artificial neural networks (ANN). Machine learning is an artificial intelligence (AI) technique that allows computers to automatically learn from data without explicit programming, and deep learning harnesses multiple layers of interconnected neural networks to generate more sophisticated insights.

    While this field of computer science is quite new, it is already being used in a growing range of important applications. Deep learning excels at automated image recognition, also known as computer vision, which is used for creating accurate facial recognition systems and safely driving autonomous vehicles. This approach is also used for speech recognition and natural language processing (NLP) applications, which allow for computers to interact with human users via voice commands.

    Machine learning algorithms such as logistic regression are key to creating deep learning applications, along with commonly used programming languages such as Tensorflow and Python. These programming languages are generally preferred for teaching and learning in this field due to their flexibility and relative accessibility - an important priority given the relevance of deep learning to a wide range of professionals without a computer science background.‎

    A familiarity with the capabilities and development process for deep learning applications can be an asset in a growing number of careers. For example, the use of deep learning is being explored in healthcare for automatic reading of radiology images, as well as searching for patterns in genes and pharmaceutical interactions that can aid in the discovery of new types of medicines. In many fields, even a basic understanding of deep learning can help professionals identify new potential applications of this powerful technology.

    Those with a deeper expertise in deep learning may become computer research scientists in this field, responsible for inventing new algorithms and finding new applications for these techniques. Given the wide range of uses for deep learning, computer scientists in this field are in high demand for jobs at private companies as well as government agencies and research universities. According to the Bureau of Labor Statistics, computer research scientists earned a median annual salary of $122,840 as of 2019, and these jobs are expected to grow much faster than average.‎

    Certainly - in fact, Coursera is one of the best places to learn about deep learning. Through partnerships with deeplearning.ai and Stanford University, Coursera offers courses as well as Specializations taught by some of the pioneering thinkers and educators in this field. You can also learn via courses and Specializations from industry leaders such as Google Cloud and Intel, or get a professional certificate from IBM. Guided Projects also offer an opportunity to build skills in deep learning through hands-on tutorials led by experienced instructors, allowing you to learn with confidence.‎

    The skills or experience you may need to have before studying deep learning, and which can help you better understand an advanced concept such as deep learning, can include sign language reading, music generation, and natural language processing (NLP), in addition to many others. If you have knowledge of Python 3 and understand the basic concepts of general machine-learning algorithms and deep learning, you may have the necessary skills to learn this specialization. You may also want to know about probability and statistics to study deep learning concepts. Basic math, such as algebra and calculus, is also an important prerequisite to deep learning because it relates to machine learning and data science. Also, if you have worked in the tech or artificial intelligence (AI) fields, you may have the necessary experience to study deep learning.‎

    The type of person who is best suited to study deep learning is someone comfortable working with statistics, programming, advanced calculus, advanced algebra, and engineering. Deep learning benefits someone passionate about working in the AI fields which can create types of deep learning networks that help machines perform human functions. A person best suited to learn about deep learning has a vested interest in understanding how the intelligence is built to run everything from driverless cars, mobile devices, stock trading systems, and robotic surgery equipment, for example. Deep learning benefits someone with a goal of working with systems such as computer vision, speech recognition, NLP, audio recognition bioinformatics systems, and medical image analysis.‎

    Deep learning may be right for you if you want to break into AI. The specialization may benefit you if you are a machine learning researcher or practitioner who is seeking to learn the next generation of machine learning, and you want to develop practical skills in the popular deep learning framework TensorFlow. Deep learning is one of the most highly sought-after skills in tech, and mastering it may lead you to many opportunities in the field of AI. It may also benefit you if you want to learn how to build neural networks and how to lead successful machine learning projects, and if you have a passion for learning about convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and how to master concepts in Python and TensorFlow.‎

    Online Deep Learning courses offer a convenient and flexible way to enhance your knowledge or learn new Deep Learning skills. Choose from a wide range of Deep Learning courses offered by top universities and industry leaders tailored to various skill levels.‎

    Yes, Coursera offers a variety of free courses across many topics, including deep learning. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

    Other topics to explore

    Placeholder
    Arts and Humanities
    338 courses
    Placeholder
    Business
    1095 courses
    Placeholder
    Computer Science
    668 courses
    Placeholder
    Data Science
    425 courses
    Placeholder
    Information Technology
    145 courses
    Placeholder
    Health
    471 courses
    Placeholder
    Math and Logic
    70 courses
    Placeholder
    Personal Development
    137 courses
    Placeholder
    Physical Science and Engineering
    413 courses
    Placeholder
    Social Sciences
    401 courses
    Placeholder
    Language Learning
    150 courses

    Coursera Footer

    Technical Skills

    • ChatGPT
    • Coding
    • Computer Science
    • Cybersecurity
    • DevOps
    • Ethical Hacking
    • Generative AI
    • Java Programming
    • Python
    • Web Development

    Analytical Skills

    • Artificial Intelligence
    • Big Data
    • Business Analysis
    • Data Analytics
    • Data Science
    • Financial Modeling
    • Machine Learning
    • Microsoft Excel
    • Microsoft Power BI
    • SQL

    Business Skills

    • Accounting
    • Digital Marketing
    • E-commerce
    • Finance
    • Google
    • Graphic Design
    • IBM
    • Marketing
    • Project Management
    • Social Media Marketing

    Career Resources

    • Essential IT Certifications
    • High-Income Skills to Learn
    • How to Get a PMP Certification
    • How to Learn Artificial Intelligence
    • Popular Cybersecurity Certifications
    • Popular Data Analytics Certifications
    • What Does a Data Analyst Do?
    • Career Development Resources
    • Career Aptitude Test
    • Share your Coursera Learning Story

    Coursera

    • About
    • What We Offer
    • Leadership
    • Careers
    • Catalog
    • Coursera Plus
    • Professional Certificates
    • MasterTrack® Certificates
    • Degrees
    • For Enterprise
    • For Government
    • For Campus
    • Become a Partner
    • Social Impact
    • Free Courses
    • ECTS Credit Recommendations

    Community

    • Learners
    • Partners
    • Beta Testers
    • Blog
    • The Coursera Podcast
    • Tech Blog
    • Teaching Center

    More

    • Press
    • Investors
    • Terms
    • Privacy
    • Help
    • Accessibility
    • Contact
    • Articles
    • Directory
    • Affiliates
    • Modern Slavery Statement
    • Manage Cookie Preferences
    Learn Anywhere
    Placeholder
    Placeholder
    Placeholder
    © 2025 Coursera Inc. All rights reserved.
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder
    • Placeholder