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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

    • G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud en Español

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Data Quality, Applied Machine Learning, Keras (Neural Network Library), Machine Learning, Google Cloud Platform, MLOps (Machine Learning Operations), Data Strategy, Supervised Learning, Machine Learning Algorithms, Data Analysis, Performance Tuning, Big Data, Data Pipelines, Artificial Neural Networks, Data Ethics, Cloud Computing, Deep Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      448 reviews

      Intermediate · Specialization · 3 - 6 Months

    • P

      Packt

      CompTIA A+ Certification Core 1 (220-1101)

      Skills you'll gain: Hardware Troubleshooting, Computer Displays, TCP/IP, Computer Hardware, Augmented and Virtual Reality (AR/VR), Data Storage Technologies, Virtualization and Virtual Machines, Virtual Local Area Network (VLAN), Virtual Private Networks (VPN), Network Administration, Wireless Networks, Local Area Networks, General Networking, Network Security, Network Architecture, Peripheral Devices, Network Routers, Hardware Architecture, Computer Architecture, Desktop Support

      4.6
      Rating, 4.6 out of 5 stars
      ·
      36 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      J

      Johns Hopkins University

      Introduction to AI: Key Concepts and Applications

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Performance Metric, Strategic Leadership, Strategic Decision-Making, Data Quality, Applied Machine Learning, Data Ethics, Machine Learning, Supervised Learning, Algorithms, Artificial Neural Networks, Data Validation, Random Forest Algorithm, Resource Utilization, System Requirements

      4.8
      Rating, 4.8 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free
      Free
      U

      Universitat Autònoma de Barcelona

      Superar el estrés rompiendo mitos

      Skills you'll gain: Personal Development, Stress Management, Critical Thinking, Independent Thinking, Social Studies, Resilience, Lifelong Learning, Research, Media and Communications, Emotional Intelligence, Journalism, Self-Awareness, Community Development, Education and Training, Adult Education, Mental Health, Psychology, Communication Strategies, Public Affairs, Leadership

      4.9
      Rating, 4.9 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      G

      Goldman Sachs

      Fundamentals of Leadership, with Goldman Sachs 10,000 Women

      Skills you'll gain: Leadership Development, Strategic Leadership, Visionary, Business Leadership, Entrepreneurship, Leadership, Culture Transformation, Organizational Leadership, Growth Strategies, Leadership and Management, Business Strategy, Goal Setting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      618 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free
      Free
      V

      Vanderbilt University

      Generative AI for University Leaders

      Skills you'll gain: Generative AI, Operational Efficiency, Innovation, Technology Roadmaps, OpenAI, Business Transformation, Data Ethics, ChatGPT, Prompt Engineering, Artificial Intelligence, Strategic Leadership, Automation, Workforce Development, Strategic Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      869 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Maryland, College Park

      Successful Interviewing

      Skills you'll gain: Interviewing Skills, Oral Expression, Concision, Persuasive Communication, Cultural Responsiveness, Communication, Business Research, Non-Verbal Communication, Professionalism, Negotiation

      4.5
      Rating, 4.5 out of 5 stars
      ·
      172 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Creating a Free Business Page with Blogger

      Skills you'll gain: Blogs, Google Analytics, Web Analytics, Promotional Strategies, Customer Engagement, Social Media, Content Marketing, Content Creation, Content Management Systems, Business Writing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      208 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • M

      Michigan State University

      Forest Carbon Credits and Initiatives

      Skills you'll gain: Project Design, Sustainability Reporting, Project Finance, Verification And Validation, Project Scoping, Environment and Resource Management, Continuous Monitoring, Feasibility Studies, Cost Benefit Analysis, Market Analysis, Estimation, Corporate Sustainability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      AI for Design and Optimization

      Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Artificial Intelligence, Computer-Aided Design, Design Thinking, Technical Design, Machine Learning Methods, Machine Learning, Artificial Neural Networks, Data-Driven Decision-Making, Deep Learning, Applied Machine Learning, Machine Learning Algorithms, Algorithms

      4.2
      Rating, 4.2 out of 5 stars
      ·
      16 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      G

      Georgia Institute of Technology

      Lesson | Get Ready for the Interview

      Skills you'll gain: Verbal Communication Skills, Professionalism, Communication Strategies, Communication, Executive Presence, Self-Awareness

      4.3
      Rating, 4.3 out of 5 stars
      ·
      111 reviews

      Mixed · Course · 1 - 4 Weeks

    • P

      Packt

      Prerequisites and Advanced Machine Learning for NLP

      Skills you'll gain: Matplotlib, Linear Algebra, Data Visualization, Machine Learning Algorithms, Deep Learning, NumPy, Seaborn, Pandas (Python Package), Python Programming, Machine Learning, Artificial Neural Networks, Natural Language Processing, Supervised Learning, Regression Analysis, Data Manipulation, Data Structures

      Intermediate · Course · 1 - 3 Months

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    1…142143144…431

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

    • Machine Learning with TensorFlow on Google Cloud en Español: Google Cloud
    • CompTIA A+ Certification Core 1 (220-1101): Packt
    • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
    • Superar el estrés rompiendo mitos: Universitat Autònoma de Barcelona
    • Fundamentals of Leadership, with Goldman Sachs 10,000 Women: Goldman Sachs
    • Generative AI for University Leaders : Vanderbilt University
    • Successful Interviewing: University of Maryland, College Park
    • Creating a Free Business Page with Blogger: Coursera Project Network
    • Forest Carbon Credits and Initiatives: Michigan State University
    • AI for Design and Optimization: University of Michigan

    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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