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    Deep Learning Courses Online

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

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    Explore the Deep Learning Course Catalog

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      488 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: Keras (Neural Network Library), PyTorch (Machine Learning Library), Deep Learning, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      651 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Supervised Learning, Unsupervised Learning, Generative AI, Image Analysis, Health Informatics, Computer Programming, Medical Records, Tensorflow, Artificial Neural Networks, Applied Machine Learning, Machine Learning, Computer Vision, PyTorch (Machine Learning Library), Keras (Neural Network Library), Python Programming, Network Model, Predictive Modeling, Health Care, Big Data

      3.3
      Rating, 3.3 out of 5 stars
      ·
      47 reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Software Design Patterns, Databases, Software Architecture, Artificial Intelligence, Database Systems, Web Applications, Large Language Modeling, NoSQL, OpenAI, Flask (Web Framework), Application Frameworks, Decision Support Systems, Data Storage Technologies, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      108 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Data Ethics, Statistics, Unsupervised Learning, Data Presentation, Data Visualization Software, Data Visualization, Data Analysis, Machine Learning, Data Manipulation, Data Science, Tableau Software, Interviewing Skills, Python Programming, Advanced Analytics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.6K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Deep Learning Methods for Healthcare

      Skills you'll gain: Deep Learning, Image Analysis, Computer Programming, Artificial Neural Networks, Computer Vision, Python Programming, Machine Learning, Health Informatics, Applied Machine Learning, Unsupervised Learning, Dimensionality Reduction

      3.9
      Rating, 3.9 out of 5 stars
      ·
      15 reviews

      Advanced · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • C

      Coursera Project Network

      Deep Learning with PyTorch : Siamese Network

      Skills you'll gain: Image Analysis, PyTorch (Machine Learning Library), Artificial Neural Networks, Deep Learning, Feature Engineering, Computer Vision

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Advanced · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google

      The Nuts and Bolts of Machine Learning

      Skills you'll gain: Unsupervised Learning, Feature Engineering, Machine Learning, Machine Learning Algorithms, Applied Machine Learning, Supervised Learning, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Deep Learning, Decision Tree Learning, Data Validation, Workflow Management, Predictive Modeling, Python Programming, Random Forest Algorithm, Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      543 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Probabilistic Deep Learning with TensorFlow 2

      Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Bayesian Statistics, Keras (Neural Network Library), Statistical Modeling, Predictive Modeling, Artificial Neural Networks, Machine Learning, Probability Distribution, Probability & Statistics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      109 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google IT Automation with Python

      Skills you'll gain: GitHub, Version Control, Git (Version Control System), Puppet (Configuration Management Tool), Infrastructure as Code (IaC), Cloud Services, Cloud Management, Bash (Scripting Language), Restful API, Incident Management, Code Review, Debugging, Unix Shell, Interviewing Skills, Web Services, Automation, Configuration Management, Python Programming, Programming Principles, Applicant Tracking Systems

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Advanced Deep Learning Methods for Healthcare

      Skills you'll gain: Deep Learning, Generative AI, Health Informatics, Tensorflow, Image Analysis, Applied Machine Learning, PyTorch (Machine Learning Library), Artificial Neural Networks, Keras (Neural Network Library), Network Model, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Predictive Modeling, Natural Language Processing, Python Programming

      3.5
      Rating, 3.5 out of 5 stars
      ·
      14 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Environmental Engineering, Hazard Communication (HazCom), Safety Assurance, Accident Prevention, Failure Analysis, Failure Mode And Effects Analysis, Risk Analysis, Transportation Operations, Environmental Regulations, Risk Management, Environment and Resource Management, Applied Machine Learning, Plant Operations and Management, Production Process, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Chemical Engineering, Anomaly Detection, Manufacturing and Production

      4.6
      Rating, 4.6 out of 5 stars
      ·
      151 reviews

      Advanced · Specialization · 3 - 6 Months

    Deep Learning learners also search

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    1234…22

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

    • MLOps | Machine Learning Operations: Duke University
    • AI Capstone Project with Deep Learning : IBM
    • Deep Learning for Healthcare: University of Illinois Urbana-Champaign
    • IBM RAG and Agentic AI: IBM
    • Google Advanced Data Analytics: Google
    • Deep Learning Methods for Healthcare: University of Illinois Urbana-Champaign
    • Deep Learning with PyTorch : Siamese Network: Coursera Project Network
    • The Nuts and Bolts of Machine Learning: Google
    • Probabilistic Deep Learning with TensorFlow 2: Imperial College London
    • Google IT Automation with Python: Google

    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.‎

    Yes. You can start learning deep learning on Coursera for free in two ways:

    • Preview the first module of many deep learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

    If you want to keep learning, earn a certificate in deep learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

    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.‎

    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.

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