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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

    • P

      Packt

      Linux Fundamentals

      Skills you'll gain: Linux, Linux Administration, Linux Commands, OS Process Management, Command-Line Interface, User Accounts, File Systems, Scripting, Unix Shell, File Management, Docker (Software), Operating Systems, TCP/IP, Remote Access Systems, Containerization, System Monitoring

      Intermediate · Course · 1 - 3 Months

    • 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: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Applied Sustainability Engineering

      Skills you'll gain: Energy and Utilities, Sustainability Reporting, Corporate Sustainability, Strategic Leadership, Product Engineering, Initiative and Leadership, Electrical Power, Leadership Development, Product Development, Environmental Engineering, Industrial Design, Waste Minimization, Product Design, Packaging and Labeling, Engineering Management, Systems Engineering, Product Lifecycle Management, Environmental Issue, Environmental Science, Electric Power Systems

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      36 reviews

      Intermediate · Course · 1 - 3 Months

    • 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: Free Trial
      Free Trial
      S

      Splunk Inc.

      Splunk Knowledge Manager 103

      Skills you'll gain: Splunk, Interactive Data Visualization, Data Mapping, Performance Tuning, Geospatial Mapping, Wireframing, Extensible Markup Language (XML)

      5
      Rating, 5 out of 5 stars
      ·
      9 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      How to Use Data

      Skills you'll gain: Data Storytelling, Data Presentation, Feature Engineering, Data Visualization Software, Unsupervised Learning, SQL, Data Analysis, Seaborn, Tableau Software, Predictive Modeling, Exploratory Data Analysis, Predictive Analytics, Analytics, Presentations, Interactive Data Visualization, Database Management, Verbal Communication Skills, Business Analytics, Decision Tree Learning, Classification And Regression Tree (CART)

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Instructor Network

      User Awareness and Education for Generative AI

      Skills you'll gain: Data Ethics, Generative AI, Artificial Intelligence, Ethical Standards And Conduct, AI Personalization, Business Ethics, ChatGPT, End User Training and Support, User Feedback, Education and Training, Information Privacy, Intellectual Property

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      Illinois Tech

      Introduction to Open Source Application Development

      Skills you'll gain: Unified Modeling Language, Debugging, Object Oriented Programming (OOP), Python Programming, Computer Programming, System Programming, Pseudocode, Software Design, User Interface (UI), Data Structures, File Management

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      19 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Product Management Cert: Agile, Scrum & Product Owner

      Skills you'll gain: Backlogs, Product Roadmaps, Sprint Planning, Sprint Retrospectives, Agile Product Development, Product Management, Product Strategy, Product Planning, Product Requirements, Agile Project Management, Agile Methodology, User Story, Prioritization, Stakeholder Communications

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Immersify

      Interactive 3D Anatomy & Physiology: A Gamified Experience

      Skills you'll gain: Respiration, Cardiology, Respiratory Care, Pulmonology, Clinical Nutrition, Anatomy, Nephrology, Orthopedics, Kinesiology, Medical Imaging, Patient Evaluation, Radiography, Urology, Gynecology, Electocardiography, General Medical Tests and Procedures, Radiology, Medical Terminology, Health Assessment, Biology

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Welding Processes in Heavy Manufacturing & Quality Controls

      Skills you'll gain: Manufacturing Processes, Automation, Internet Of Things, Manufacturing Standards, Quality Assurance, Manufacturing Operations, Production Process, Construction Inspection, Process Control, Emerging Technologies

      4.3
      Rating, 4.3 out of 5 stars
      ·
      13 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Arizona

      Introduction to the Orbital Perspective

      Skills you'll gain: Teamwork, Empathy, Visionary, Cultural Diversity, Collaboration, Critical Thinking and Problem Solving, Systems Thinking, International Relations, Environment and Resource Management, Proactivity, Planning, Innovation, Advocacy

      4.4
      Rating, 4.4 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 3 Months

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

    • Linux Fundamentals: Packt
    • Secure & Scalable Cloud Infrastructure with Microsoft Azure: Microsoft
    • Applied Sustainability Engineering: University of Colorado Boulder
    • Translating Research to Healthcare Policy : University of Michigan
    • Splunk Knowledge Manager 103: Splunk Inc.
    • How to Use Data: University of Pennsylvania
    • User Awareness and Education for Generative AI : Coursera Instructor Network
    • Introduction to Open Source Application Development: Illinois Tech
    • Product Management Cert: Agile, Scrum & Product Owner: Packt
    • Interactive 3D Anatomy & Physiology: A Gamified Experience: Immersify

    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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