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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

    • U

      University of Michigan

      JSON and Natural Language Processing in PostgreSQL

      Skills you'll gain: PostgreSQL, JSON, Text Mining, SQL, Databases, Natural Language Processing, Database Management, Data Processing, Application Programming Interface (API), Data Storage, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      137 reviews

      Intermediate · Course · 1 - 4 Weeks

    • H

      H2O.ai

      Practical Machine Learning on H2O

      Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Applied Machine Learning, Machine Learning Algorithms, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Random Forest Algorithm, Data Import/Export, Artificial Neural Networks, Data Modeling, Data Manipulation, Feature Engineering

      4.5
      Rating, 4.5 out of 5 stars
      ·
      74 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Digital Marketing Strategy with Goldman Sachs 10,000 Women

      Skills you'll gain: Social Media Campaigns, Social Media, Paid media, Digital Media Strategy, Online Advertising, Search Engine Marketing, Digital Advertising, Digital Marketing, Pay Per Click Advertising, Marketing Strategy and Techniques, Owned Media, Marketing Planning, Earned Media

      4.7
      Rating, 4.7 out of 5 stars
      ·
      672 reviews

      Mixed · Course · 1 - 4 Weeks

    • T

      Technion - Israel Institute of Technology

      From Idea to Startup

      Skills you'll gain: Business Planning, Value Propositions, Entrepreneurship, Ideation, Business Strategy, New Product Development, Product Strategy, Risk Management, Innovation, Communication, Feasibility Studies, Verification And Validation, Interviewing Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      777 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Teach English: Intermediate Grammar

      Skills you'll gain: Video Production, Grammar, Developing Training Materials, English Language, Vocabulary, Language Competency, Language Learning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      148 reviews

      Beginner · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      L’IA pour tous

      Skills you'll gain: Business Strategy, Artificial Intelligence, Data Ethics, Technology Strategies, Artificial Neural Networks, Business Intelligence, Data Science, Cross-Functional Collaboration, Deep Learning, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      32 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Predictive Modeling and Analytics

      Skills you'll gain: Predictive Analytics, Data Visualization, Data Modeling, Business Analytics, Data Analysis, Statistical Modeling, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Supervised Learning, Decision Tree Learning, Data Cleansing, Artificial Neural Networks

      3.6
      Rating, 3.6 out of 5 stars
      ·
      601 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Application Development, Generative AI, Python Programming, Natural Language Processing, Open Source Technology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      MathWorks

      Practical Data Science with MATLAB

      Skills you'll gain: Data Storytelling, Feature Engineering, Data Visualization, Supervised Learning, Dimensionality Reduction, Data Integration, Interactive Data Visualization, Exploratory Data Analysis, Data Import/Export, Technical Communication, Data Analysis, Applied Machine Learning, Data Visualization Software, Matlab, Regression Analysis, Data Processing, Descriptive Statistics, Data Cleansing, Predictive Modeling, Data Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      University of California, Davis

      AI Agents: From Prompts to Multi-Agent Systems

      Skills you'll gain: Prompt Engineering, Generative AI Agents, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), OpenAI, Artificial Intelligence, ChatGPT, Automation, Algorithms

      4.1
      Rating, 4.1 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California San Diego

      Code Free Data Science

      Skills you'll gain: Predictive Modeling, Data Manipulation, Predictive Analytics, Big Data, Data Mining, Statistical Methods, Data Analysis, Data Science, Data-Driven Decision-Making, Unsupervised Learning, Analytics, Software Installation

      4.3
      Rating, 4.3 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      Utrecht University

      Professionalism in an era of change

      Skills you'll gain: Industrial and Organizational Psychology, Lifelong Learning, Professionalism, Professional Development, Social Sciences, Organizational Change, Adaptability, Ethical Standards And Conduct, Organizational Structure, Sociology, Psychology, Employee Engagement, Organizational Effectiveness, Leadership

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 3 Months

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    1…136137138…430

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

    • JSON and Natural Language Processing in PostgreSQL: University of Michigan
    • Practical Machine Learning on H2O: H2O.ai
    • Digital Marketing Strategy with Goldman Sachs 10,000 Women: Goldman Sachs
    • From Idea to Startup: Technion - Israel Institute of Technology
    • Teach English: Intermediate Grammar: University of California, Irvine
    • L’IA pour tous: DeepLearning.AI
    • Predictive Modeling and Analytics : University of Colorado Boulder
    • Llama for Python Programmers: University of Michigan
    • Practical Data Science with MATLAB: MathWorks
    • AI Agents: From Prompts to Multi-Agent Systems: University of California, Davis

    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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