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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

    • G

      Google Cloud

      Google Cloud Product Fundamentals em Português Brasileiro

      Skills you'll gain: Digital Transformation, Google Workspace, Google Cloud Platform, Productivity Software, Cost Management, Leadership, Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Expense Management, Cloud Applications, Infrastructure Architecture, Technology Strategies, Cloud Computing, Cloud Platforms, Cloud Storage, Machine Learning, Application Development, Cloud Security, Data Storage

      4.6
      Rating, 4.6 out of 5 stars
      ·
      46 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      T

      Tecnológico de Monterrey

      Analíticas en Páginas Web

      Skills you'll gain: Web Analytics, Search Engine Marketing, Marketing Analytics, Market Research, Digital Marketing, Search Engine Optimization, Analytical Skills, Online Advertising, Email Marketing, Marketing Effectiveness, Analytics, Content Performance Analysis, Market Intelligence, Customer Insights, Consumer Behaviour, Digital Advertising, Pay Per Click Advertising, Customer Relationship Management, Browser Compatibility, Advertising Campaigns

      4.9
      Rating, 4.9 out of 5 stars
      ·
      27 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      DevOps and Jenkins Fundamentals

      Skills you'll gain: Jenkins, Continuous Delivery, Devops Tools, CI/CD, Continuous Integration, DevOps, Software Development Tools, Software Development, Software Installation, Linux Servers

      3.5
      Rating, 3.5 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Translating Research to Healthcare Policy

      Skills you'll gain: Health Equity, Policy Development, Health Care Procedure and Regulation, Policy Analysis, Advocacy, Health Care, Public Policies, Healthcare Industry Knowledge, Medical Science and Research, Public Health, Research

      4.4
      Rating, 4.4 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Secure & Scalable Cloud Infrastructure with Microsoft Azure

      Skills you'll gain: Microsoft Azure, Identity and Access Management, Cloud Infrastructure, Cloud Computing, Virtual Machines, Kubernetes, Role-Based Access Control (RBAC), Windows PowerShell, Cloud Security, Application Deployment, Load Balancing, Security Information and Event Management (SIEM), Command-Line Interface, Network Security, Scalability

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Career Launchpad Essentials: SOP, Resume & Interview Prep

      Skills you'll gain: Active Listening, Business Writing, Interviewing Skills, Presentations, Applicant Tracking Systems, Public Speaking, Communication, Conflict Management, Storytelling, Business Communication, Verbal Communication Skills, Stress Management, Interpersonal Communications, Personal Development, Writing, Content Development and Management, Generative AI Agents, LinkedIn, Recruitment, Continuous Improvement Process

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Introduction of Pile Foundation

      Skills you'll gain: Construction, Structural Engineering, Construction Engineering, Building Codes, Civil Engineering, Structural Analysis, Engineering Design Process, Engineering Drawings, Engineering Calculations

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      Advanced AI Techniques for the Supply Chain

      Skills you'll gain: Image Analysis, Supervised Learning, Applied Machine Learning, Predictive Modeling, Anomaly Detection, Statistical Modeling, Supply Chain Management, Machine Learning, Computer Vision, Supply Chain, Deep Learning, Classification And Regression Tree (CART), Random Forest Algorithm, Natural Language Processing, Artificial Neural Networks, Customer Demand Planning, Forecasting, Unsupervised Learning, Performance Tuning

      3.4
      Rating, 3.4 out of 5 stars
      ·
      14 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Coursera Project Network

      Host a Quiz Review with Blooket

      Skills you'll gain: Student Engagement, Interactive Learning, Curriculum Development, Drive Engagement, Teaching, Education Software and Technology, Test Tools

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Practical Python for AI Coding 2

      Skills you'll gain: Matplotlib, Data Visualization, Tensorflow, NumPy, Pandas (Python Package), Object Oriented Programming (OOP), Seaborn, Python Programming, Keras (Neural Network Library), Artificial Intelligence, Scikit Learn (Machine Learning Library), Data Manipulation, Development Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      26 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Space is Everywhere

      Skills you'll gain: Journalism, Music, Culture, Media and Communications, Liberal Arts, Art History, Storytelling, Creativity, World History, Innovation, Science and Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Reigniting Employee Engagement

      Skills you'll gain: Employee Engagement, Interactive Learning, Stress Management, Drive Engagement, Strategic Planning, Personal Development, Empathy, Organizational Change, Self-Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      25 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Google Cloud Product Fundamentals em Português Brasileiro: Google Cloud
    • Analíticas en Páginas Web: Tecnológico de Monterrey
    • DevOps and Jenkins Fundamentals: LearnKartS
    • Translating Research to Healthcare Policy : University of Michigan
    • Secure & Scalable Cloud Infrastructure with Microsoft Azure: Microsoft
    • Career Launchpad Essentials: SOP, Resume & Interview Prep: Board Infinity
    • Introduction of Pile Foundation: L&T EduTech
    • Advanced AI Techniques for the Supply Chain: LearnQuest
    • Host a Quiz Review with Blooket: Coursera Project Network
    • Practical Python for AI Coding 2: Korea Advanced Institute of Science and Technology(KAIST)

    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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