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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

    • I

      Infosec

      Execution, persistence, privilege escalation and evasion

      Skills you'll gain: Cybersecurity, Cyber Operations, Cyber Threat Hunting, Intrusion Detection and Prevention, Scripting, Python Programming, Authorization (Computing), Command-Line Interface, Operating Systems

      4.5
      Rating, 4.5 out of 5 stars
      ·
      85 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      V

      Vanderbilt University

      ChatGPT + Excel: Master AI-driven Formulas & Visualizations

      Skills you'll gain: Excel Macros, Excel Formulas, Microsoft Excel, Data Visualization, ChatGPT, Spreadsheet Software, Interactive Data Visualization, Productivity Software, Generative AI, Business Process Automation, Prompt Engineering, Data Validation, Prototyping, Data Import/Export, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      44 reviews

      Beginner · Course · 1 - 4 Weeks

    • E

      Edureka

      Machine Learning and NLP Basics

      Skills you'll gain: Natural Language Processing, Deep Learning, Predictive Modeling, Text Mining, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Tensorflow, Applied Machine Learning, Machine Learning Algorithms, Supervised Learning, Artificial Neural Networks, Unstructured Data

      3.4
      Rating, 3.4 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Secure Access with Azure Active Directory

      Skills you'll gain: Azure Active Directory, Active Directory, Microsoft Azure, Multi-Factor Authentication, Authentications, User Accounts, Role-Based Access Control (RBAC), Authorization (Computing), Identity and Access Management, User Provisioning, Cloud Security, Single Sign-On (SSO), Hybrid Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      71 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Machine Learning - Anomaly Detection via PyCaret

      Skills you'll gain: Anomaly Detection, Jupyter, Exploratory Data Analysis, Application Deployment, Unsupervised Learning, Data Visualization, Predictive Modeling, Interactive Data Visualization, Applied Machine Learning, Machine Learning Software, Machine Learning Algorithms

      3.8
      Rating, 3.8 out of 5 stars
      ·
      17 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      UBITS

      Fundamentos de la gestión del talento humano

      Skills you'll gain: Constructive Feedback, Talent Management, Human Resources Management and Planning, Course Development, Recruitment, Human Resources, Training and Development, Employee Training, Instructional Design, Performance Appraisal, Employee Performance Management, Recruitment Strategies, Organizational Structure, Educational Materials, Student Engagement, Organizational Effectiveness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      176 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Create Serverless Applications

      Skills you'll gain: Microsoft Azure, Serverless Computing, Cloud Development, Microsoft Power Automate/Flow, Event-Driven Programming, Cloud Applications, Business Process Automation, Cloud API, Application Programming Interface (API), GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      114 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      Unilever

      Supply Chain Software Tools

      Skills you'll gain: Supply Chain Systems, Supply Chain Management, Data Management, Data Lakes, Supply Chain Planning, Data Analysis Software, Real Time Data, Business Technologies, Data Storage Technologies, Inventory Management System, Forecasting, Analytics, Demand Planning, Advanced Analytics, Predictive Analytics, Data-Driven Decision-Making, Enterprise Resource Planning, AI Personalization

      4.8
      Rating, 4.8 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Frontiers in Dentistry

      Skills you'll gain: Dental Procedures, Dentistry, Dental Care, Oral and Dental Care, Disabilities, Precision Medicine, Emerging Technologies, Innovation, Medical Imaging, Health Care, Computer-Aided Design, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      39 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Work with Components in Figma

      Skills you'll gain: Figma (Design Software), UI Components, Style Guides, Wireframing, Software Design, Mockups

      4.4
      Rating, 4.4 out of 5 stars
      ·
      153 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • D

      DeepLearning.AI

      Последовательные модели

      Skills you'll gain: Deep Learning, Natural Language Processing, Tensorflow, PyTorch (Machine Learning Library), Applied Machine Learning, Artificial Neural Networks

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Universidad Autónoma Metropolitana

      Conciencia Lingüística

      Skills you'll gain: Grammar, Language Competency, Spanish Language, Language Learning, Vocabulary

      4.8
      Rating, 4.8 out of 5 stars
      ·
      90 reviews

      Beginner · Course · 1 - 4 Weeks

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

    • Execution, persistence, privilege escalation and evasion: Infosec
    • ChatGPT + Excel: Master AI-driven Formulas & Visualizations: Vanderbilt University
    • Machine Learning and NLP Basics: Edureka
    • Secure Access with Azure Active Directory: Microsoft
    • Machine Learning - Anomaly Detection via PyCaret: Coursera Project Network
    • Fundamentos de la gestión del talento humano: UBITS
    • Create Serverless Applications : Microsoft
    • Supply Chain Software Tools: Unilever
    • Frontiers in Dentistry: University of Pennsylvania
    • Work with Components in Figma: Coursera Project Network

    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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