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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

    • D

      Duke University

      Art of the MOOC: Experiments with Sound

      Skills you'll gain: World Music, Music History, Music, Musical Composition, Music Theory, Multimedia, Public Affairs, Performing Arts, Music Performance, Electronic Media, Liberal Arts, Experimentation, Creativity, Cultural Diversity, Research

      4.8
      Rating, 4.8 out of 5 stars
      ·
      74 reviews

      Beginner · Course · 1 - 3 Months

    • A

      American Psychological Association

      Student Success

      Skills you'll gain: Stress Management, Resilience, Writing, Editing, Mental Health, Mindfulness, Learning Strategies, Learning Theory, Human Learning, Mental Concentration, Proofreading, Concision, Psychology, Productivity, Emotional Intelligence, Time Management, Critical Thinking, Behavioral Health, Scientific Methods, Organizational Skills

      4.9
      Rating, 4.9 out of 5 stars
      ·
      18 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      D

      DeepLearning.AI

      Python for Data Analytics

      Skills you'll gain: Pandas (Python Package), Time Series Analysis and Forecasting, Matplotlib, Data Visualization Software, Statistical Inference, Statistical Analysis, Seaborn, Data Analysis, Exploratory Data Analysis, Descriptive Statistics, NumPy, Data Manipulation, Programming Principles, Python Programming, Regression Analysis, Forecasting

      Beginner · Course · 1 - 3 Months

    • I

      ISC2

      Cryptography

      Skills you'll gain: Cryptography, Key Management, Public Key Infrastructure, Encryption, Data Security, Cybersecurity, Authentications, Email Security, Data Integrity, IT Security Architecture, Virtual Private Networks (VPN), Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      78 reviews

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Oracle Primavera P6 – Project Setup and Basic Management

      Skills you'll gain: Work Breakdown Structure, Calendar Management, Project Schedules, Project Management Software, Timelines, Scheduling, Project Management, Project Planning, Relationship Management, Data Visualization, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      31 reviews

      Beginner · Course · 1 - 3 Months

    • S

      Starweaver

      Introduction to Automotive Embedded Systems

      Skills you'll gain: Embedded Systems, Electronic Systems, Cybersecurity, Automation, Electronics, Control Systems, Internet Of Things, Software Development, Real-Time Operating Systems, Systems Integration, Artificial Intelligence

      4.4
      Rating, 4.4 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Azure Cybersecurity Tools and Solutions

      Skills you'll gain: Vulnerability Management, Azure Active Directory, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks, Penetration Testing, Generative AI, Vulnerability Assessments, Intrusion Detection and Prevention, Security Testing, Single Sign-On (SSO), Microsoft Azure, Cyber Security Policies, Security Management, Network Security, Identity and Access Management, Data Management, Authentications, System Monitoring, Data Ethics, Cybersecurity

      4.6
      Rating, 4.6 out of 5 stars
      ·
      28 reviews

      Beginner · Specialization · 3 - 6 Months

    • 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: Free
      Free
      P

      Pohang University of Science and Technology(POSTECH)

      Programming with Cloud IoT Platforms

      Skills you'll gain: Internet Of Things, Cloud Platforms, IBM Cloud, Application Development, Cloud Services, Cloud Computing, Google Cloud Platform, Infrastructure As A Service (IaaS), Microsoft Azure, Amazon Web Services, Middleware, Emerging Technologies, Automation, Network Protocols

      4.3
      Rating, 4.3 out of 5 stars
      ·
      318 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      Universidad de los Andes

      Comprender las dimensiones interculturales en la cotidianidad

      Skills you'll gain: Cultural Diversity, Intercultural Competence, Cultural Sensitivity, Language Learning, Recognizing Others, Empathy, Self-Awareness, Performing Arts, Communication, Mediation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      386 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Minnesota

      Recommender Systems: Evaluation and Metrics

      Skills you'll gain: Performance Metric, Data Collection, Performance Measurement, Benchmarking, Usability Testing, A/B Testing, Analysis, Data-Driven Decision-Making, Predictive Analytics, Customer Engagement

      4.4
      Rating, 4.4 out of 5 stars
      ·
      233 reviews

      Mixed · Course · 1 - 3 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

      4.3
      Rating, 4.3 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 3 Months

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    1…158159160…433

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

    • Art of the MOOC: Experiments with Sound: Duke University
    • Student Success: American Psychological Association
    • Python for Data Analytics: DeepLearning.AI
    • Cryptography : ISC2
    • Oracle Primavera P6 – Project Setup and Basic Management: Packt
    • Introduction to Automotive Embedded Systems: Starweaver
    • Microsoft Azure Cybersecurity Tools and Solutions: Microsoft
    • Forest Carbon Credits and Initiatives: Michigan State University
    • Programming with Cloud IoT Platforms: Pohang University of Science and Technology(POSTECH)
    • Comprender las dimensiones interculturales en la cotidianidad: Universidad de los Andes

    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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