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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

    • Status: Free
      Free
      C

      Commonwealth Education Trust

      Foundations of Teaching for Learning: Being a Professional

      Skills you'll gain: Teaching, Professional Development, Lifelong Learning, Ethical Standards And Conduct, Professionalism, Personal Development, Education and Training, Willingness To Learn, Pedagogy, Instructing, Working With Children, Collaboration, Leadership

      4.8
      Rating, 4.8 out of 5 stars
      ·
      210 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic)

      Skills you'll gain: Computational Logic, Artificial Intelligence, Simulations, Computational Thinking, Programming Principles, Theoretical Computer Science, Algorithms, Machine Learning, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      314 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft Azure SQL

      Skills you'll gain: Database Systems, Microsoft Azure, Databases, Relational Databases, MySQL, SQL, Database Management, Cloud Services, PostgreSQL, Data Storage Technologies, Data Security

      4.6
      Rating, 4.6 out of 5 stars
      ·
      250 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera

      Navigating Generative AI: A CEO Playbook

      Skills you'll gain: Generative AI, Business Transformation, Strategic Leadership, Google Cloud Platform, Business Strategy, Change Management, Prompt Engineering, Business Ethics, Employee Training, Risk Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      86 reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Pennsylvania

      Retail Marketing Strategy

      Skills you'll gain: Customer experience strategy (CX), Brand Strategy, Brand Management, Marketing Strategies, Customer Insights, Brand Loyalty, Brand Awareness, Market Trend, Consumer Behaviour, Competitive Analysis, Business Strategy, Innovation, E-Commerce

      4.8
      Rating, 4.8 out of 5 stars
      ·
      270 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Microsoft Program Management

      Skills you'll gain: Earned Value Management, Stakeholder Management, Program Management, Agile Project Management, Stakeholder Engagement, Project Management Office (PMO), Agile Methodology, Project Performance, Project Schedules, Virtual Teams, Team Building, Conflict Management, Change Management, Project Management Life Cycle, Procurement, Team Management, Solution Delivery, Cost Management, Return On Investment, Teamwork

      4.7
      Rating, 4.7 out of 5 stars
      ·
      63 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • A

      Arizona State University

      Resilience for Everyone

      Skills you'll gain: Empathy, Positivity, Growth Mindedness, Optimism, Stress Management, Resilience, Compassion, Goal Setting, Overcoming Obstacles, Personal Development, Emotional Intelligence, Empowerment, Social Skills, Time Management, Persistence, Adaptability, Self-Awareness, Independent Thinking, Lifelong Learning, Organizational Skills

      4.5
      Rating, 4.5 out of 5 stars
      ·
      88 reviews

      Beginner · Specialization · 3 - 6 Months

    • A

      Aptly

      Marketing with TikTok

      Skills you'll gain: TikTok, Content Performance Analysis, Social Media Content, Social Media Marketing, Storytelling, Social Media Strategy, Content Creation, Performance Measurement, Web Analytics, Video Editing, Advertising, Digital Media Strategy, Advertising Campaigns, Performance Analysis, Marketing, Performance Metric, Digital Advertising, Marketing Analytics, Social Media, Brand Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      98 reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free
      Free
      A

      Alfaisal University | KLD

      التفكير الناقد | Critical Thinking

      Skills you'll gain: Critical Thinking, Overcoming Obstacles, Analytical Skills, Creative Thinking, Problem Solving, Learning Strategies, Cognitive flexibility, Decision Making, Open Mindset, Self-Motivation

      4.9
      Rating, 4.9 out of 5 stars
      ·
      1.1K reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Cybersecurity Threat Vectors and Mitigation

      Skills you'll gain: Encryption, Cybersecurity, Cyber Attacks, Threat Management, Authentications, Security Strategy, Threat Detection, Network Security, Authorization (Computing), Cryptography, Data Security, Active Directory, Identity and Access Management, Firewall, Multi-Factor Authentication

      4.7
      Rating, 4.7 out of 5 stars
      ·
      279 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Michigan

      Fitting Statistical Models to Data with Python

      Skills you'll gain: Statistical Modeling, Statistical Methods, Bayesian Statistics, Statistical Inference, Statistical Analysis, Statistical Programming, Regression Analysis, Predictive Modeling, Jupyter, Exploratory Data Analysis, Statistical Hypothesis Testing, Correlation Analysis, Probability Distribution

      4.4
      Rating, 4.4 out of 5 stars
      ·
      699 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of California San Diego

      Graph Analytics for Big Data

      Skills you'll gain: Graph Theory, Database Design, Big Data, Network Analysis, Analytics, Data Management, Data Structures, Query Languages, Scalability, Unsupervised Learning, Distributed Computing, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    Deep Learning learners also search

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

    • Foundations of Teaching for Learning: Being a Professional: Commonwealth Education Trust
    • 人工智慧:搜尋方法與邏輯推論 (Artificial Intelligence - Search & Logic): National Taiwan University
    • Microsoft Azure SQL: Microsoft
    • Navigating Generative AI: A CEO Playbook: Coursera
    • Retail Marketing Strategy: University of Pennsylvania
    • Microsoft Program Management: Microsoft
    • Resilience for Everyone: Arizona State University
    • Marketing with TikTok: Aptly
    • التفكير الناقد | Critical Thinking: Alfaisal University | KLD
    • Cybersecurity Threat Vectors and Mitigation: Microsoft

    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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