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    • Deep Learning

    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

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics), Data-Driven Decision-Making, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      1.2K reviews

      Beginner Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      PMI-PMPĀ® 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
      Ā·
      281 reviews

      Intermediate Ā· Specialization Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      CertNexus

      CertNexus Certified Ethical Emerging Technologist

      Skills you'll gain: Crisis Management, Data Ethics, Governance, Business Ethics, Strategic Leadership, Corporate Communications, Media Relations, Strategic Thinking, Communication Strategies, Business Leadership, Accountability, Ethical Standards And Conduct, Emerging Technologies, Organizational Leadership, Public Relations, Risk Management, Operational Risk, Learning Strategies, Test Planning, Productivity

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      568 reviews

      Beginner Ā· Professional Certificate Ā· 3 - 6 Months

    • M

      Michigan State University

      Design and Make Infographics (Project-Centered Course)

      Skills you'll gain: Infographics, Adobe Illustrator, Graphic and Visual Design, Data Mapping, Typography, Design Elements And Principles, Graphical Tools, Storytelling, Color Theory

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      955 reviews

      Mixed Ā· Course Ā· 1 - 4 Weeks

    • U

      University of Cape Town

      Writing your World: Finding yourself in the academic space

      Skills you'll gain: Writing, Culture, Liberal Arts, Editing, Cultural Diversity, Peer Review, Proofreading, Research, Sociology, Style Guides, Creativity, Student Engagement, Learning Strategies

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      257 reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Production Machine Learning Systems

      Skills you'll gain: MLOps (Machine Learning Operations), Systems Design, Tensorflow, Hybrid Cloud Computing, Google Cloud Platform, Systems Architecture, Performance Tuning, Applied Machine Learning, Machine Learning, Distributed Computing, Scalability, Data Pipelines

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      1K reviews

      Advanced Ā· Course Ā· 1 - 3 Months

    • A

      Arizona State University

      English Communication for Tech Professionals

      Skills you'll gain: Business Writing, Presentations, Grammar, Rapport Building, Business Communication, Technical Communication, Verbal Communication Skills, Writing, Vocabulary, Business Correspondence, Interpersonal Communications, Communication, Interviewing Skills, English Language, LinkedIn, Communication Strategies, Technical Writing, Constructive Feedback, Professional Networking

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      67 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    • C

      Coursera

      Use Generative AI as Your Thought Partner

      Skills you'll gain: Prompt Engineering, Generative AI, Leadership, Strategic Decision-Making, Business Strategy, Workforce Development, Business Ethics, Change Management, Large Language Modeling

      4.7
      Rating, 4.7 out of 5 stars
      Ā·
      1.1K reviews

      Beginner Ā· Course Ā· 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      Ā·
      411 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • U

      Universiteit Leiden

      Introduction to Comparative Indo-European Linguistics

      Skills you'll gain: Ancient History, Culture, Language Learning, Language Interpretation, Translation, and Studies, Anthropology, Oral Comprehension, Grammar, Timelines, Literacy, Research, Research Methodologies

      4.6
      Rating, 4.6 out of 5 stars
      Ā·
      96 reviews

      Intermediate Ā· Course Ā· 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Semiconductor Devices

      Skills you'll gain: Semiconductors, Electrical Engineering, Electronic Components, Power Electronics, Electronic Systems, Electronics, Physics, Electronics Engineering, Differential Equations, Applied Mathematics

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      Ā·
      601 reviews

      Advanced Ā· Specialization Ā· 1 - 3 Months

    • H

      Hebrew University of Jerusalem

      Build a Modern Computer from First Principles: Nand to Tetris Part II (project-centered course)

      Skills you'll gain: Computer Science, Computer Engineering, Computer Architecture, Computer Programming, System Software, Virtual Machines, Operating Systems, Software Architecture, Algorithms, Software Design, Program Development, Object Oriented Programming (OOP), Data Structures, System Implementation, Computer Graphics

      4.9
      Rating, 4.9 out of 5 stars
      Ā·
      525 reviews

      Mixed Ā· Course Ā· 1 - 3 Months

    Deep Learning learners also search

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    1…909192…440

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

    • Data Science Ethics:Ā University of Michigan
    • PMI-PMPĀ® Certification Training Course:Ā LearnKartS
    • CertNexus Certified Ethical Emerging Technologist:Ā CertNexus
    • Design and Make Infographics (Project-Centered Course):Ā Michigan State University
    • Writing your World: Finding yourself in the academic space :Ā University of Cape Town
    • Production Machine Learning Systems:Ā Google Cloud
    • English Communication for Tech Professionals:Ā Arizona State University
    • Use Generative AI as Your Thought Partner:Ā Coursera
    • Supervised Machine Learning: Classification:Ā IBM
    • Introduction to Comparative Indo-European Linguistics:Ā Universiteit Leiden

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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.ā€Ž

    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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