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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

    • Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Sport Sponsorship. Let them Play

      Skills you'll gain: Event Marketing, Promotional Strategies, Business Planning, Event Management, Stakeholder Management, Proposal Development, Brand Management, Brand Strategy, Strategic Partnership, Stakeholder Communications, Business Development, Advertising, Employee Engagement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      278 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      MathWorks

      Systems Engineering

      Skills you'll gain: Model Based Systems Engineering, Systems Engineering, Systems Architecture, Systems Design, Functional Design, Requirements Analysis, System Requirements, Requirements Elicitation, Functional Requirement, Verification And Validation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      218 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Snowflake

      Intro to Snowflake for Devs, Data Scientists, Data Engineers

      Skills you'll gain: Data Manipulation, Data Lakes, Data Warehousing, SQL, Data Pipelines, Cloud Applications, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Generative AI, Large Language Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      National Taiwan University

      3D CAD Application

      Skills you'll gain: SketchUp (3D Modeling Software), 3D Modeling, Construction, Building Design, Architectural Drawing, Architecture and Construction, Computer-Aided Design

      4.8
      Rating, 4.8 out of 5 stars
      ·
      156 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      E

      EIT Digital

      Cybersecurity Awareness and Innovation

      Skills you'll gain: Email Security, Computer Security Awareness Training, Cybersecurity, Security Awareness, Cyber Attacks, Identity and Access Management, Threat Management, Threat Detection, Data Security, User Accounts, Entrepreneurship

      4.6
      Rating, 4.6 out of 5 stars
      ·
      739 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Leading for Equity, Diversity and Inclusion in Higher Education

      Skills you'll gain: Higher Education, Diversity Equity and Inclusion Initiatives, Leadership, Strategic Planning, Initiative and Leadership, Cultural Diversity, Social Justice, Cultural Responsiveness, Accountability, Advocacy, Collaboration, Creative Thinking, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      296 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      ISAE-SUPAERO

      Flight mechanics - The basis

      Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Energy and Utilities, Engineering Analysis, Algebra

      4.7
      Rating, 4.7 out of 5 stars
      ·
      446 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Learn Interpersonal Psychotherapy

      Skills you'll gain: Psychosocial Assessments, Psychotherapy, Interpersonal Communications, Mental Health Therapies, Clinical Psychology, Conflict Management, Mental Health, Mental Health Diseases and Disorders, Rapport Building, Interactive Learning, Patient Evaluation, Patient Education And Counseling, Behavioral Health, Cultural Sensitivity, Case Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      57 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Introduction to Basic Game Development using Scratch

      Skills you'll gain: Event-Driven Programming, Debugging, Programming Principles, Algorithms, Computer Programming Tools, Game Design, Computer Programming, Program Development, Animation and Game Design, Interactive Design, Integrated Development Environments, Software Development Tools, Computer Science, Computational Thinking

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Case Western Reserve University

      Women in Leadership: Inspiring Positive Change

      Skills you'll gain: Negotiation, Leadership Development, Professional Development, Organizational Leadership, Communication, Leadership, Influencing, Personal Development, Empowerment, Business Leadership, Relationship Building, Self-Awareness, Diversity and Inclusion

      4.7
      Rating, 4.7 out of 5 stars
      ·
      548 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Real Estate Property Management

      Skills you'll gain: Property Management, Property and Real Estate, Real Estate, Commercial Real Estate, Asset Management, Property Maintenance, Operational Performance Management, Operational Efficiency, Innovation, Technology Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      110 reviews

      Beginner · Course · 1 - 4 Weeks

    Deep Learning learners also search

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

    • Sport Sponsorship. Let them Play: Universitat Autònoma de Barcelona
    • Systems Engineering: MathWorks
    • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
    • 3D CAD Application: National Taiwan University
    • Cybersecurity Awareness and Innovation: EIT Digital
    • Leading for Equity, Diversity and Inclusion in Higher Education: University of Michigan
    • Flight mechanics - The basis: ISAE-SUPAERO
    • Learn Interpersonal Psychotherapy: University of Toronto
    • Introduction to Basic Game Development using Scratch: Coursera Project Network
    • Simulation and modeling of natural processes: University of Geneva

    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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