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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 Trial
      Free Trial
      C

      Case Western Reserve University

      Inspired Leadership

      Skills you'll gain: Employee Coaching, Coaching, Negotiation, Emotional Intelligence, Empathy, Leadership Development, Compassion, Leadership, Organizational Change, Organizational Development, Organizational Leadership, Empowerment, Culture Transformation, Strategic Leadership, People Development, Active Listening, Personal Development, Drive Engagement, Professional Development, Leadership and Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Business English: Management and Leadership

      Skills you'll gain: Meeting Facilitation, Business Writing, Business Communication, Active Listening, Business Correspondence, Telephone Skills, Management Training And Development, Employee Coaching, English Language, Delegation Skills, Staff Management, Recruitment, Leadership, Verbal Communication Skills, Team Building, Communication, Vocabulary

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.5K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      School Health for Children and Adolescents

      Skills you'll gain: Autism Spectrum Disorders, Individualized Education Programs (IEP), Special Education, Nutrition Education, Community Health, School Psychology, Chronic Diseases, Student Support and Services, Nutrition and Diet, School Counseling, Public Health, Public Health and Disease Prevention, Mental and Behavioral Health Specialties, Care Management, Child Health, Patient Evaluation, Care Coordination, Disabilities, Medical Emergency, Social and Human Services

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Microsoft Azure AI Fundamentals AI-900 Exam Prep

      Skills you'll gain: Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Computer Vision, Artificial Intelligence, Natural Language Processing, Microsoft Azure, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Data Ethics, Machine Learning, Large Language Modeling, Regression Analysis, Predictive Modeling, Machine Learning Methods, Statistical Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Automation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to CSS3

      Skills you'll gain: Cascading Style Sheets (CSS), Web Content Accessibility Guidelines, HTML and CSS, Web Design, Hypertext Markup Language (HTML), Responsive Web Design, Usability, Browser Compatibility, Javascript, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      9.6K reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Introduction to Microsoft Azure Cloud Services

      Skills you'll gain: Microsoft Azure, Cloud Services, Virtualization, Cloud Computing, Virtual Machines, Cloud Platforms, Cloud Storage, Cloud Infrastructure, Virtual Private Networks (VPN), Public Cloud, General Networking, Database Management Systems, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.6K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Developing Mobile Apps with React Native

      Skills you'll gain: React Native, Flutter (Software), Mobile Development, React Redux, React.js, Front-End Web Development, JavaScript Frameworks, Ajax, Cross Platform Development, Javascript, Apple iOS, UI Components, Data Structures, Back-End Web Development, Debugging, iOS Development, User Story, Full-Stack Web Development, Web Applications, Android Development

      4.4
      Rating, 4.4 out of 5 stars
      ·
      809 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Business English: Making Presentations

      Skills you'll gain: Presentations, Sales Presentation, Persuasive Communication, Microsoft PowerPoint, Public Speaking, Verbal Communication Skills, Data Visualization, Business Communication, Marketing Materials, English Language

      4.8
      Rating, 4.8 out of 5 stars
      ·
      761 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Database Design, Software Documentation, Software Design Patterns, Database Systems, Collaborative Software, Software Testing, ChatGPT, Technical Documentation, Generative AI, Code Review, Software Architecture, System Design and Implementation, API Design, Dependency Analysis, Artificial Intelligence, Software Development Tools, Security Testing, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      544 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Georgia Institute of Technology

      Take Your English Communication Skills to the Next Level

      Skills you'll gain: Sales Presentation, Presentations, Verbal Communication Skills, Public Speaking, Business Correspondence, English Language, Cultural Diversity, Business Communication, Professional Networking, Communication, Cultural Sensitivity, Business Writing, Interviewing Skills, Language Competency

      4.7
      Rating, 4.7 out of 5 stars
      ·
      902 reviews

      Mixed · Course · 1 - 4 Weeks

    • K

      Knowledge Accelerators

      Customer Service Fundamentals

      Skills you'll gain: Service Level Agreement, Problem Solving, Customer Service, Customer Support, Desktop Support, Technical Communication, Help Desk Support, Technical Support, Critical Thinking and Problem Solving, Issue Tracking, Rapport Building, Patience, Empathy, Time Management, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Questions, Present Progressive and Future Tenses

      Skills you'll gain: Grammar, Vocabulary, English Language, Language Learning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Inspired Leadership: Case Western Reserve University
    • Business English: Management and Leadership: Arizona State University
    • School Health for Children and Adolescents: University of Colorado System
    • Microsoft Azure AI Fundamentals AI-900 Exam Prep: Microsoft
    • Introduction to CSS3: University of Michigan
    • Introduction to Microsoft Azure Cloud Services: Microsoft
    • Developing Mobile Apps with React Native: IBM
    • Business English: Making Presentations: University of Washington
    • Generative AI for Software Development: DeepLearning.AI
    • Take Your English Communication Skills to the Next Level: Georgia Institute of Technology

    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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