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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
      U

      University of California, Irvine

      Conjunctions, Connectives, and Adverb Clauses

      Skills you'll gain: Grammar, English Language

      4.8
      Rating, 4.8 out of 5 stars
      ·
      734 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Michigan State University

      Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course)

      Skills you'll gain: Peer Review, Writing, Editing, Storytelling, Proofreading, Creativity

      4.5
      Rating, 4.5 out of 5 stars
      ·
      775 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Voxy

      English Language Skills A2-B1 CEFR: Low-Intermediate

      Skills you'll gain: Stress Management, Goal Setting, Nutrition and Diet, Professional Development, Personal Development, Organizational Skills, English Language, Planning, Technical Communication, Product Knowledge, Productivity, Language Learning, Interpersonal Communications, Media and Communications, Customer Service, Language Competency, Self-Awareness, Retail Sales, Calendar Management, Vocabulary

      4.6
      Rating, 4.6 out of 5 stars
      ·
      546 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Marketing Digital

      Skills you'll gain: Social Media, Social Media Strategy, Social Media Marketing, Google Ads, Digital Marketing, Customer Relationship Management, Media Buying, Digital Media Strategy, Marketing Analytics, Campaign Management, LinkedIn, Facebook, Web Analytics, Pay Per Click Advertising, Marketing Strategies, Marketing, Keyword Research, Paid media, Performance Analysis, Online Advertising

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Medical Terminology I

      Skills you'll gain: Medical Terminology, Orthopedics, Medical Records, Urology, Anatomy, Electronic Medical Record

      4.9
      Rating, 4.9 out of 5 stars
      ·
      669 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Macquarie University

      Leading transformations: Manage change

      Skills you'll gain: Change Management, Organizational Change, Business Transformation, Process Management, Influencing, Leadership, Adaptability, Innovation, Resource Management, Gap Analysis, Dealing With Ambiguity, Resilience, Creative Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Supervised Machine Learning: Regression

      Skills you'll gain: Supervised Learning, Regression Analysis, Predictive Modeling, Machine Learning, Statistical Modeling, Classification And Regression Tree (CART), Scikit Learn (Machine Learning Library), Feature Engineering, Statistical Analysis, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      741 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Arizona State University

      Business English: Marketing and Sales

      Skills you'll gain: Sales Presentations, Brainstorming, Selling Techniques, Marketing Communications, Business Correspondence, Advertising, Business Marketing, Business Communication, Promotional Strategies, Presentations, Consultative Selling, Persuasive Communication, Marketing, Employee Surveys, Public Speaking, Communication Strategies, Vocabulary

      4.7
      Rating, 4.7 out of 5 stars
      ·
      683 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      M

      Microsoft

      Build a computer vision app with Azure Cognitive Services

      Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Solutions

      4.4
      Rating, 4.4 out of 5 stars
      ·
      300 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Machine Learning Methods, Interviewing Skills, Portfolio Management

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • P

      Packt

      Recommender Systems: An Applied Approach using Deep Learning

      Skills you'll gain: Deep Learning, Tensorflow, Data Processing, AI Personalization, Data Manipulation, Applied Machine Learning, Predictive Modeling, Machine Learning, Artificial Neural Networks, Data Visualization Software, System Design and Implementation, Matplotlib

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Learning Linux for LFCA Certification

      Skills you'll gain: Package and Software Management, Linux Administration, Linux, Linux Commands, Linux Servers, Virtual Private Networks (VPN), System Monitoring, Public Key Infrastructure, File Management, Command-Line Interface, Intrusion Detection and Prevention, Git (Version Control System), File Systems, User Accounts, Firewall, Remote Access Systems, Cloud Computing Architecture, DevOps, Virtualization, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.1K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Conjunctions, Connectives, and Adverb Clauses: University of California, Irvine
    • Script Writing: Write a Pilot Episode for a TV or Web Series (Project-Centered Course): Michigan State University
    • English Language Skills A2-B1 CEFR: Low-Intermediate: Voxy
    • Marketing Digital: Universidad Austral
    • Medical Terminology I: Rice University
    • Leading transformations: Manage change: Macquarie University
    • Supervised Machine Learning: Regression: IBM
    • Business English: Marketing and Sales: Arizona State University
    • Build a computer vision app with Azure Cognitive Services: Microsoft
    • Google Advanced Data Analytics Capstone: 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.‎

    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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