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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

    • M

      Meta

      Desarrollador de Meta de IOS

      Skills you'll gain: React Native, User Research, UI/UX Research, Persona (User Experience), Apple iOS, Restful API, Core Data (Software), Design Research, Version Control, Swift Programming, User Experience Design, Unix Commands, User Interface (UI), User Interface and User Experience (UI/UX) Design, Interaction Design, Git (Version Control System), Apple Xcode, Algorithms, Jest (JavaScript Testing Framework), Mobile Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      150 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • C

      Corporate Finance Institute

      BI Essentials for Finance Analysts (Tableau Edition)

      Skills you'll gain: Dashboard, Tableau Software, Interactive Data Visualization, Excel Formulas, Data Visualization Software, Data Modeling, SQL, Data Presentation, E-Commerce, Databases, Data Manipulation, Data Storytelling, Data Analysis, Performance Analysis, Relational Databases, Data Import/Export, Business Intelligence, Data Transformation, Regional Sales, Query Languages

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Washington

      Practical Predictive Analytics: Models and Methods

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Statistical Methods, Decision Tree Learning, Statistical Inference, Statistical Analysis, Machine Learning Algorithms, Machine Learning, Graph Theory, Probability & Statistics, Big Data

      4.1
      Rating, 4.1 out of 5 stars
      ·
      320 reviews

      Mixed · Course · 1 - 4 Weeks

    • M

      Microsoft

      Cybersecurity Tools and Technologies

      Skills you'll gain: Penetration Testing, Security Testing, System Testing, Vulnerability Scanning, Vulnerability Management, Cloud Security, Cybersecurity, Intrusion Detection and Prevention, Network Security, Microsoft Azure, Firewall, Virtual Private Networks (VPN)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      174 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Washington

      Data Science at Scale

      Skills you'll gain: Feature Engineering, Unsupervised Learning, Data Ethics, Statistical Visualization, Data Storytelling, Big Data, Relational Databases, Supervised Learning, Database Systems, Dataflow, Data Visualization Software, Data Science, Statistical Machine Learning, Predictive Analytics, Advanced Analytics, Data Governance, Data Analysis, Predictive Modeling, Data Processing, Data Wrangling

      4.2
      Rating, 4.2 out of 5 stars
      ·
      915 reviews

      Intermediate · Specialization · 3 - 6 Months

    • E

      Edureka

      Fundamentals of Data Governance

      Skills you'll gain: Data Governance, Data Management, Information Management, Metadata Management, Data Strategy, Governance, Data Integrity, Regulatory Requirements, Compliance Management, Data Quality, Data Security, Cloud Solutions, Cloud Security

      4.3
      Rating, 4.3 out of 5 stars
      ·
      41 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Geneva

      Global Health Security, Solidarity and Sustainability through the International Health Regulations

      Skills you'll gain: Health Care Procedure and Regulation, Public Health and Disease Prevention, Public Health, Infectious Diseases, Environment Health And Safety, Health Policy, Health Systems, International Relations, Public Safety and National Security, Emergency Response, Health Assessment, Program Evaluation, Governance

      4.7
      Rating, 4.7 out of 5 stars
      ·
      101 reviews

      Intermediate · Course · 1 - 3 Months

    • I

      IBM

      Generative AI Engineering and Fine-Tuning Transformers

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, PyTorch (Machine Learning Library), Natural Language Processing, Applied Machine Learning, Application Frameworks, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Macquarie University

      Create video, audio and infographics for online learning

      Skills you'll gain: Video Production, Infographics, Multimedia, Content Creation, Constructive Feedback, Design Thinking, Design, Graphic and Visual Design, Storytelling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      97 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Cybersecurity Solutions and Microsoft Defender

      Skills you'll gain: Security Information and Event Management (SIEM), Cloud Security, Cyber Security Policies, Microsoft Azure, Identity and Access Management, Cybersecurity, Malware Protection, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Threat Management, Firewall, Security Controls, Endpoint Security, Threat Detection, Virtual Machines, Encryption

      4.6
      Rating, 4.6 out of 5 stars
      ·
      149 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Adobe Premiere Pro for Beginners: Quickstart Video-Editing

      Skills you'll gain: Video Editing, Adobe Premiere, Post-Production, Content Creation, Adobe Creative Cloud, Media Production, Timelines, Storytelling, Blogs

      4.4
      Rating, 4.4 out of 5 stars
      ·
      26 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • C

      Coursera Project Network

      Terraform for absolute beginners

      Skills you'll gain: Terraform, Infrastructure as Code (IaC), Infrastructure As A Service (IaaS), Microsoft Azure, Cloud Infrastructure

      4.3
      Rating, 4.3 out of 5 stars
      ·
      183 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Desarrollador de Meta de IOS: Meta
    • BI Essentials for Finance Analysts (Tableau Edition): Corporate Finance Institute
    • Practical Predictive Analytics: Models and Methods: University of Washington
    • Cybersecurity Tools and Technologies: Microsoft
    • Data Science at Scale: University of Washington
    • Fundamentals of Data Governance: Edureka
    • Global Health Security, Solidarity and Sustainability through the International Health Regulations: University of Geneva
    • Generative AI Engineering and Fine-Tuning Transformers: IBM
    • Create video, audio and infographics for online learning : Macquarie University
    • Cybersecurity Solutions and Microsoft Defender: Microsoft

    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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