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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
      Free
      I

      Imperial College London

      Science Matters: Let's Talk About COVID-19

      Skills you'll gain: Epidemiology, Public Health and Disease Prevention, Public Health, Infectious Diseases, Community Health, Infection Control, Economics, Policy, and Social Studies, Crisis Intervention, Health Systems, Socioeconomics, Health Policy, Emergency Response, Microbiology, Media and Communications, Molecular Biology, Pathology, Research Reports

      4.2
      Rating, 4.2 out of 5 stars
      ·
      214 reviews

      Beginner · Course · 1 - 3 Months

    • N

      Northeastern University

      Health Informatics for Healthcare Professionals

      Skills you'll gain: Health Informatics, Health Information Management, Health Systems, Health Technology, Health Care, Health Care Administration, Medical Records, Data Sharing, Electronic Medical Record, Interoperability, Decision Support Systems, Data Management, Data Storage, Artificial Intelligence, Deep Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      23 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      Introduction to Program Management

      Skills you'll gain: Program Management, Project Management Office (PMO), Project Management Life Cycle, Project Management, Stakeholder Management, Organizational Strategy, Team Management, Resource Management, Benefits Administration, Change Management, Governance, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      66 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      T

      Tecnológico de Monterrey

      Tecnologías para la Innovación Educativa

      Skills you'll gain: Education Software and Technology, Pedagogy, Technology Solutions, Learning Management Systems, Emerging Technologies, Innovation, Technology Strategies, Higher Education, Solution Design, Trend Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      249 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1))

      Skills you'll gain: Information Systems, Information Management, Business Logic, Data Structures, Transportation Operations, Production Planning, Operations Management, Business Operations, Inventory Control, Logistics, Algorithms, Programming Principles, Computer Programming, Python Programming, Decision Making

      4.9
      Rating, 4.9 out of 5 stars
      ·
      891 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Washington

      Programming Languages, Part C

      Skills you'll gain: Ruby (Programming Language), Object Oriented Programming (OOP), Scripting Languages, Computer Programming, Programming Principles, Functional Design, Computational Thinking, Software Design, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      461 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Lactation Biology

      Skills you'll gain: Anatomy, Obstetrics And Gynecology, Biochemistry, Pharmacology, Biology, Production Process, Nutrition and Diet, Molecular, Cellular, and Microbiology, Infectious Diseases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      38 reviews

      Beginner · Course · 1 - 3 Months

    • L

      L&T EduTech

      Fundamentals of Robotics & Industrial Automation

      Skills you'll gain: Automation Engineering, Programmable Logic Controllers, Control Systems, Automation, Simulation and Simulation Software, Robotic Process Automation, Electrical Systems, Human Machine Interfaces, Manufacturing and Production, Industrial Engineering, Electronics, Mechanical Engineering, Internet Of Things, Matlab, Process Control

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      IBM

      AI Workflow: Feature Engineering and Bias Detection

      Skills you'll gain: Feature Engineering, Data Ethics, Unsupervised Learning, Dimensionality Reduction, Text Mining, Applied Machine Learning, Data Transformation, Anomaly Detection, Exploratory Data Analysis, Natural Language Processing, Quality Assurance, Data Validation, Machine Learning Algorithms, Data Visualization

      4.4
      Rating, 4.4 out of 5 stars
      ·
      72 reviews

      Advanced · Course · 1 - 4 Weeks

    • E

      EIT Digital

      Security and Privacy for Big Data - Part 1

      Skills you'll gain: Data Security, Cryptography, Information Systems Security, Security Management, Security Requirements Analysis, Data Access, Vulnerability Assessments, Big Data, Authorization (Computing), Identity and Access Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      581 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Systems with the ChatGPT API

      Skills you'll gain: ChatGPT, Large Language Modeling, Prompt Engineering, OpenAI, Cloud API, Generative AI, Self Service Technologies, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      217 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: New
      New
      W

      Whizlabs

      Exam Prep (NCA-GENL): NVIDIA-Certified Generative AI LLMs

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, Deep Learning, Unsupervised Learning, Natural Language Processing, Time Series Analysis and Forecasting, Data Visualization, Supervised Learning, Data Ethics, Image Analysis, Machine Learning, Text Mining, Applied Machine Learning, Computer Vision, Data Processing, Artificial Intelligence, Scatter Plots, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML)

      Intermediate · Specialization · 3 - 6 Months

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

    • Science Matters: Let's Talk About COVID-19: Imperial College London
    • Health Informatics for Healthcare Professionals: Northeastern University
    • Introduction to Program Management: IBM
    • Tecnologías para la Innovación Educativa: Tecnológico de Monterrey
    • 用 Python 做商管程式設計(一)(Programming for Business Computing in Python (1)): National Taiwan University
    • Programming Languages, Part C: University of Washington
    • Lactation Biology: University of Illinois Urbana-Champaign
    • Fundamentals of Robotics & Industrial Automation: L&T EduTech
    • AI Workflow: Feature Engineering and Bias Detection: IBM
    • Security and Privacy for Big Data - Part 1: EIT Digital

    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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