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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

    • C

      Coursera Instructor Network

      How to Build a Product Flow Diagram

      Skills you'll gain: Product Flow Diagram, Process Flow Diagrams, New Product Development, Go To Market Strategy, Product Development, Product Roadmaps, Product Improvement, Product Design, Process Mapping, Microsoft Visio, Customer experience strategy (CX), User Research, User Feedback

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Lightning App Builder

      Skills you'll gain: Salesforce Development, Salesforce, User Experience Design, Cloud Applications, UI Components, Requirements Analysis, Configuration Management

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Rust for Beginners: Building Target Proximity Game

      Skills you'll gain: Game Design, Rust (Programming Language), Algorithms, Application Programming Interface (API), Programming Principles, Mobile Development, Data Structures, Real Time Data

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Platform Product Management

      Skills you'll gain: Application Development, User Experience, User Interface (UI), Data Modeling, Sprint Retrospectives, Platform As A Service (PaaS), Service Recovery, Digital Transformation, Drive Engagement, Technology Solutions, User Feedback, Application Deployment, Customer Engagement, Cloud Platforms, Technical Product Management, Workflow Management, Cloud Applications, Product Management, System Implementation, Systems Integration

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      P

      Packt

      Cluster Analysis and Unsupervised Machine Learning in Python

      Skills you'll gain: Unsupervised Learning, Data Visualization, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Scikit Learn (Machine Learning Library), Exploratory Data Analysis, Data Science, Statistical Methods, Algorithms, NumPy, Python Programming

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Computational and Graphical Models in Probability

      Skills you'll gain: Network Analysis, Statistical Modeling, Bayesian Network, R Programming, Simulations, Applied Mathematics, Graph Theory, Data Analysis, Probability, Statistical Analysis, Markov Model, Probability Distribution, Machine Learning

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Instructor Network

      What are GPTs and How can they work for my business?

      Skills you'll gain: ChatGPT, Market Research, OpenAI, Business Process Automation, Financial Forecasting, Market Analysis, Innovation, Generative AI, Strategic Thinking, Supply Chain Management, Business Strategy, Artificial Intelligence, Prompt Engineering, Strategic Decision-Making, Customer Support, Decision Making, Content Creation

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Instructor Network

      Databricks Mosaic AI

      Skills you'll gain: Databricks, Scalability, Workflow Management, Organizational Leadership, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Business Strategy, Process Optimization, Data Pipelines, Applied Machine Learning, Real Time Data

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Highway Planning, Pavement Design and Construction

      Skills you'll gain: Construction Inspection, Construction, Construction Management, Civil Engineering, Civil and Architectural Engineering, Engineering Practices, Hydraulics, Grading (Landscape), Structural Analysis, Engineering Plans And Specifications, Environmental Engineering, Failure Analysis, Laboratory Testing, Engineering Software, Engineering Design Process, Plant Operations and Management, Technical Standard, Engineering Calculations, Engineering Analysis, Safety Assurance

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      S

      S.P. Jain Institute of Management and Research

      Effective Employee Retention Strategies to Combat Attrition

      Skills you'll gain: Employee Retention, Mentorship, Talent Management, Human Resource Strategy, Employee Coaching, Employee Engagement, Diversity and Inclusion, Workforce Development, Team Motivation, People Analytics, Employee Onboarding, Leadership Development, Overcoming Obstacles, Performance Metric

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Agentic AI with LangChain and LangGraph

      Skills you'll gain: Generative AI Agents, Agentic systems, Artificial Intelligence, Large Language Modeling, Prompt Engineering, Reinforcement Learning, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Information Security and Incident Handling

      Skills you'll gain: Computer Security Incident Management, Incident Response, Incident Management, Vulnerability Management, Risk Management Framework, Security Management, Threat Management, Disaster Recovery, Vulnerability Assessments, Information Assurance, Cyber Security Policies, Computer Security Awareness Training, Continuous Monitoring, Security Controls, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

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

    • How to Build a Product Flow Diagram: Coursera Instructor Network
    • Lightning App Builder: LearnKartS
    • Rust for Beginners: Building Target Proximity Game: Coursera Project Network
    • Platform Product Management: University of Maryland, College Park
    • Cluster Analysis and Unsupervised Machine Learning in Python: Packt
    • Computational and Graphical Models in Probability: Johns Hopkins University
    • What are GPTs and How can they work for my business?: Coursera Instructor Network
    • Databricks Mosaic AI: Coursera Instructor Network
    • Highway Planning, Pavement Design and Construction: L&T EduTech
    • Effective Employee Retention Strategies to Combat Attrition: S.P. Jain Institute of Management and Research

    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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