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Deep Learning Courses

Deep learning courses can help you learn neural networks, convolutional networks, and recurrent networks, along with their applications in image recognition and natural language processing. You can build skills in model training, hyperparameter tuning, and performance evaluation, which are crucial for developing effective AI solutions. Many courses introduce tools like TensorFlow and PyTorch, allowing you to implement algorithms and optimize models, making your learning experience hands-on and relevant to current industry practices.


Popular Deep Learning Courses and Certifications


  • U

    University of Colorado Boulder

    Master of Science in Data Science

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Artificial Intelligence

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Computer Science

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Science in Electrical and Computer Engineering

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

  • I

    Illinois Institute of Technology

    Master of Business Administration (MBA)

    Skills you'll gain: Process Improvement, Pay Per Click Advertising, Digital Marketing, Responsible AI, Process Management, Global Marketing, Business Process, Financial Statement Analysis, Machine Learning Algorithms, Culture Transformation, Product Lifecycle Management, Digital Transformation, Market Dynamics, Paid media, Capital Budgeting, Design Thinking, Leadership and Management, Game Theory, Microsoft Excel, Business Strategy

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of Colorado Boulder

    Master of Engineering in Engineering Management

    Skills you'll gain: Object Oriented Design, User Story, Real-Time Operating Systems, Systems Engineering, Unsupervised Learning, New Product Development, Field-Programmable Gate Array (FPGA), Failure Analysis, Sustainable Business, Delegation Skills, Sampling (Statistics), Supplier Management, Computer Vision, Accountability, Data Ethics, Data Mining, Sustainability Reporting, Database Design, Generative AI, Sustainable Design

    Earn a degree

    Degree · 1 - 4 Years

What brings you to Coursera today?

  • C

    Clemson University

    Master of Science in Computer Science

    Skills you'll gain: Human Computer Interaction, MySQL, Dimensionality Reduction, Data Cleansing, Matplotlib, Generative AI, Database Design, Software Development Methodologies, Databases, Usability, Relational Databases, Database Management Systems, Graph Theory, Responsible AI, Data Structures, Reinforcement Learning, Data Mining, Data Ethics, Systems Development Life Cycle, Deep Learning

    Earn a degree

    Degree · 1 - 4 Years

  • U

    University of London

    Bachelor of Science in Computer Science

    Skills you'll gain: Virtual Reality, Game Design, Full-Stack Web Development, Mobile Development, Human Computer Interaction, Agile Software Development, Animations, Data Ethics, Event-Driven Programming, Git (Version Control System), Web Applications, Incident Response, Data Science, Natural Language Processing, Unsupervised Learning, Combinatorics, Database Design, Web Development, Generative AI, Usability Testing

    Earn a degree

    Degree · 1 - 4 Years

  • P

    Pontificia Universidad Católica de Chile

    Magíster en Ciencia de Datos

    Skills you'll gain: Revenue Management, Database Design, Large Language Modeling, Data Ethics, Customer Analysis, Descriptive Analytics, FinTech, Biostatistics, Social Network Analysis, People Analytics, Time Series Analysis and Forecasting, Predictive Analytics, Social Determinants Of Health, Gerontology, Cloud Security, Unsupervised Learning, Data Visualization, Risk Analysis, Bayesian Statistics, Spatial Data Analysis

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Data Science

    Skills you'll gain: Data Ethics, Machine Learning Algorithms, Supervised Learning, SQL, Unsupervised Learning, Graph Theory, Database Systems, Software Development Methodologies, Financial Statement Analysis, Statistical Hypothesis Testing, Statistical Methods, Data Wrangling, SAS (Software), Object Oriented Programming (OOP), Spatial Analysis, Text Mining, Statistical Software, R Programming, Artificial Intelligence, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • B

    Ball State University

    Master of Science in Computer Science

    Skills you'll gain: Full-Stack Web Development, Data Ethics, Machine Learning Algorithms, File Systems, SQL, Graph Theory, Database Systems, Software Development Methodologies, Database Management Systems, Statistical Methods, Data Wrangling, Software Engineering, Theoretical Computer Science, Application Security, Cryptography, Object Oriented Programming (OOP), Statistical Hypothesis Testing, Text Mining, Artificial Intelligence, Natural Language Processing

    Earn a degree

    Degree · 1 - 4 Years

  • P

    Pontificia Universidad Católica de Chile

    Magíster en Business Analytics

    Skills you'll gain: Revenue Management, Database Design, Large Language Modeling, Customer Analysis, Descriptive Analytics, FinTech, Biostatistics, Social Network Analysis, People Analytics, Time Series Analysis and Forecasting, Predictive Analytics, Social Determinants Of Health, Gerontology, Cloud Security, Data Visualization, Health Informatics, Risk Analysis, Bayesian Statistics, Spatial Data Analysis, Unsupervised Learning

    Earn a degree

    Degree · 1 - 4 Years

Searches related to deep learning

deep learning specialization
deep learning for computer vision
deep learning with pytorch
deep learning and reinforcement learning
deep learning for object detection
deep learning for natural language processing
deep learning with keras and tensorflow
deep learning: recurrent neural networks with python
123

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

  • Master of Science in Data Science: University of Colorado Boulder
  • Master of Science in Artificial Intelligence: University of Colorado Boulder
  • Master of Science in Computer Science: University of Colorado Boulder
  • Master of Science in Electrical and Computer Engineering: University of Colorado Boulder
  • Master of Business Administration (MBA): Illinois Institute of Technology
  • Master of Engineering in Engineering Management: University of Colorado Boulder
  • Master of Science in Computer Science: Clemson University
  • Bachelor of Science in Computer Science: University of London
  • Magíster en Ciencia de Datos: Pontificia Universidad Católica de Chile
  • Master of Science in Data Science: Ball State University

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.‎

Yes. You can start learning deep learning on Coursera for free in two ways:

  • Preview the first module of many deep learning courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  • Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in deep learning, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

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.‎

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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