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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: New
      New
      Status: Free Trial
      Free Trial
      G

      Google

      Use AI as a Creative or Expert Partner

      Skills you'll gain: Prompt Engineering, Generative AI Agents, ChatGPT, AI Personalization, Generative AI, Artificial Intelligence, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      106 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Michigan

      The Finite Element Method for Problems in Physics

      Skills you'll gain: Finite Element Methods, Differential Equations, Engineering Analysis, Numerical Analysis, Mathematical Modeling, Mathematical Theory & Analysis, Advanced Mathematics, Applied Mathematics, Linear Algebra, C++ (Programming Language), Calculus, Open Source Technology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      551 reviews

      Intermediate · Course · 3 - 6 Months

    • J

      Johns Hopkins University

      The Unix Workbench

      Skills you'll gain: GitHub, Unix Shell, Unix, Git (Version Control System), Unix Commands, Version Control, Bash (Scripting Language), Command-Line Interface, Cloud Computing, Shell Script, Linux, Mac OS, Scripting, Programming Principles, File Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      A Complete Reinforcement Learning System (Capstone)

      Skills you'll gain: Reinforcement Learning, Solution Architecture, Artificial Intelligence, Performance Testing, Artificial Neural Networks, Machine Learning Algorithms, Markov Model, Algorithms, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      641 reviews

      Intermediate · Course · 1 - 3 Months

    • P

      Pontificia Universidad Católica de Chile

      Formación docente basada en la práctica para desarrollar habilidades del siglo XXI

      Skills you'll gain: Education Software and Technology, Pedagogy, Teaching, Training Programs, Blended Learning, Instructional Strategies, Research Methodologies, Student-Centred Learning, Interactive Learning, Curriculum Development, Social Justice, Instructional and Curriculum Design, Discussion Facilitation, Collaboration

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure Developer Associate (AZ-204) Exam Prep

      Skills you'll gain: Cloud Development, Microsoft Azure, Cloud Storage, Data Storage, Serverless Computing, Software Development, Cloud Security, Virtual Machines, Data Storage Technologies, CI/CD, Continuous Deployment, Development Environment, Cloud Management, Application Deployment, Cloud Applications, Data Security, Cloud Computing, Microsoft Power Automate/Flow, Event-Driven Programming, C# (Programming Language)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      259 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Y

      Yale University

      A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650)

      Skills you'll gain: Ancient History, World History, European History, Culture, Cultural Diversity, Art History, Liberal Arts, Storytelling, Higher Education

      4.8
      Rating, 4.8 out of 5 stars
      ·
      679 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      PMI-PMP® Certification Training Course

      Skills you'll gain: Cost Management, Scope Management, Agile Project Management, Agile Methodology, Stakeholder Engagement, Project Management, Project Schedules, Cost Estimation, Kanban Principles, Project Scoping, Project Risk Management, Lean Methodologies, Conflict Management, Project Management Institute (PMI) Methodology, Project Management Office (PMO), Project Coordination, Stakeholder Management, Project Planning, Project Management Life Cycle, Performance Analysis

      4.5
      Rating, 4.5 out of 5 stars
      ·
      280 reviews

      Intermediate · Specialization · 1 - 3 Months

    • U

      University of London

      Global Energy and Climate Policy

      Skills you'll gain: Environmental Policy, International Relations, Energy and Utilities, Environment, Governance, Policy Analysis, Economics, Security Strategy, Electric Power Systems, Mitigation, Emerging Technologies, Stakeholder Engagement

      4.7
      Rating, 4.7 out of 5 stars
      ·
      687 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Houston

      The Bilingual Brain

      Skills you'll gain: Language Competency, Language Learning, Human Learning, Non-Verbal Communication, Neurology, Human Development, Psychology, Child Development, Science and Research, Scientific Methods, Experimentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      703 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Machine Learning: Theory and Hands-on Practice with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Deep Learning, Machine Learning Algorithms, Dimensionality Reduction, Applied Machine Learning, Decision Tree Learning, Keras (Neural Network Library), Scikit Learn (Machine Learning Library), Matplotlib, Random Forest Algorithm, Predictive Modeling, Python Programming, Classification And Regression Tree (CART), Data Science, Computer Vision, Image Analysis, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Mathematical Modeling

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      114 reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Use AI as a Creative or Expert Partner: Google
    • The Finite Element Method for Problems in Physics: University of Michigan
    • The Unix Workbench: Johns Hopkins University
    • A Complete Reinforcement Learning System (Capstone): University of Alberta
    • Formación docente basada en la práctica para desarrollar habilidades del siglo XXI: Pontificia Universidad Católica de Chile
    • Microsoft Azure Developer Associate (AZ-204) Exam Prep: Microsoft
    • Feature Engineering: Google Cloud
    • A Journey through Western Christianity: from Persecuted Faith to Global Religion (200 - 1650) : Yale University
    • PMI-PMP® Certification Training Course: LearnKartS
    • Global Energy and Climate Policy: University of London

    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.

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