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    • Artificial Intelligence

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    1417 results for "artificial intelligence"

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      Duke University

      Introduction to Machine Learning

      Skills you'll gain: Natural Language, Deep Learning, Theoretical Computer Science, Convolutional Neural Network, Artificial Neural Networks, Logistic Regression, Probability & Statistics, Computer Vision, General Statistics, Supply Chain, Regression, Algorithms, Natural Language Processing, Machine Learning, Machine Learning Algorithms, Language, PyTorch

      4.7

      (3k reviews)

      Intermediate · Course · 1-3 Months

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      University of Colorado System

      Clinical Data Science

      Skills you'll gain: Accounting, Algorithms, Analysis, Career, Clinical Data Management, Communication, Computational Logic, Computer Programming, Data Analysis, Data Management, Data Model, Databases, Extract, Transform, Load, Finance, Leadership and Management, Machine Learning, Marketing, Mathematical Theory & Analysis, Mathematics, Natural Language Processing, Programming Principles, R Programming, Regulations and Compliance, SQL, Statistical Programming, Theoretical Computer Science

      4.5

      (383 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Colorado Boulder

      Advanced Business Analytics

      Skills you'll gain: Algorithms, Analysis, Analytics, Applied Machine Learning, Artificial Neural Networks, Big Data, Business Analysis, Business Analytics, Cloud Computing, Computer Vision, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Clustering Algorithms, Data Management, Data Visualization, Databases, Exploratory Data Analysis, General Statistics, Machine Learning, Machine Learning Algorithms, Markov Model, Mathematical Theory & Analysis, Modeling, Plot (Graphics), Probability & Statistics, Regression, SQL, Simulation, Spreadsheet Software, Statistical Analysis, Statistical Programming, Theoretical Computer Science

      4.6

      (4.8k reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Cape Town

      Fintech Startups in Emerging Markets

      Skills you'll gain: Accounting, Advertising, Banking, BlockChain, Business Analysis, Business Design, Business Model Canvas, Communication, Cryptography, Data Analysis, Entrepreneurship, FinTech, Finance, Financial Analysis, Financial Management, Machine Learning, Marketing, Modeling, Regulations and Compliance, Research and Design, Risk Management, Security Engineering, Software Architecture, Software Engineering, Theoretical Computer Science

      4.6

      (169 reviews)

      Beginner · Specialization · 3-6 Months

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      University of Illinois at Urbana-Champaign

      Business Analytics

      Skills you'll gain: Accounting, Algorithms, Analysis, Analytics, Audit, Big Data, BlockChain, Business Analysis, Business Analytics, Data Analysis, Data Analysis Software, Data Management, Data Mining, Data Visualization, Design and Product, Entrepreneurship, Exploratory Data Analysis, Finance, Graph Theory, Human Computer Interaction, Machine Learning, Machine Learning Algorithms, Market Research, Mathematics, Natural Language Processing, Network Analysis, Probability & Statistics, R Programming, Regression, Research and Design, Software Engineering, Software Testing, Statistical Analysis, Statistical Classification, Statistical Programming, Theoretical Computer Science, User Research

      4.6

      (732 reviews)

      Beginner · Specialization · 3-6 Months

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      University at Buffalo

      Digital Manufacturing & Design Technology

      Skills you'll gain: Analysis, Application Development, Big Data, Bioinformatics, Business Analysis, Business Process Management, Cloud Computing, Cloud Infrastructure, Cloud Storage, Communication, Computer Architecture, Computer Graphics, Computer Networking, Computer Security Incident Management, Data Analysis, Data Management, Design and Product, Entrepreneurship, Finance, Human Computer Interaction, Interactive Design, Internet Of Things, Inventory Management, Leadership and Management, Machine Learning, Manufacturing Process Management, Marketing, Modeling, Network Architecture, Operating Systems, Probability & Statistics, Process, Process Analysis, Product Design, Product Lifecycle, Product Management, Risk Management, Sales, Security Engineering, Security Strategy, Social Media, Software As A Service, Software Engineering, Strategy, Strategy and Operations, Supply Chain Systems, Supply Chain and Logistics, System Security

      4.6

      (6.2k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Minnesota

      Recommender Systems

      Skills you'll gain: Applied Machine Learning, Basic Descriptive Statistics, Business Analysis, Change Management, Computer Programming, Data Analysis, Data Analysis Software, Digital Marketing, Entrepreneurship, General Statistics, Human Computer Interaction, Java Programming, Leadership and Management, Linear Algebra, Machine Learning, Marketing, Mathematics, Microsoft Excel, Mobile Development, Probability & Statistics, Spreadsheet Software, Statistical Analysis, Strategy and Operations, Supply Chain and Logistics, User Experience

      4.4

      (768 reviews)

      Intermediate · Specialization · 3-6 Months

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      University of Illinois at Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Algorithms, Apache, Big Data, Cloud Computing, Cloud Engineering, Cloud Infrastructure, Computational Thinking, Computer Architecture, Computer Networking, Computer Programming, Cryptography, Data Architecture, Data Management, Data Warehousing, Database Theory, Databases, Deep Learning, Distributed Computing Architecture, Google Cloud Platform, Graph Theory, Leadership and Management, Machine Learning, Mathematics, Network Architecture, Sales, Security Engineering, Software Architecture, Software As A Service, Software Engineering, Tensorflow, Theoretical Computer Science

      4.4

      (1.9k reviews)

      Intermediate · Specialization · 3-6 Months

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      Johns Hopkins University

      Data Science

      Skills you'll gain: Algorithms, Analysis, Application Development, Applied Machine Learning, Business Analysis, Computer Programming, Data Analysis, Data Management, Data Visualization, Econometrics, Exploratory Data Analysis, Extract, Transform, Load, General Statistics, Interactive Data Visualization, Interactivity, Knitr, Machine Learning, Machine Learning Algorithms, Natural Language Processing, Plot (Graphics), Probability & Statistics, Probability Distribution, R Programming, Regression, Regression Analysis, Software, Software Engineering Tools, Statistical Analysis, Statistical Programming, Statistical Tests, Theoretical Computer Science

      4.5

      (49.2k reviews)

      Beginner · Specialization · 3-6 Months

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      University of London

      Virtual Reality

      Skills you'll gain: Applied Machine Learning, Computer Graphic Techniques, Computer Graphics, Human Computer Interaction, Interactive Design, Machine Learning, Modeling, Virtual Reality

      4.7

      (1.9k reviews)

      Beginner · Specialization · 3-6 Months

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      CFA Institute

      Data Science for Investment Professionals

      Skills you'll gain: Accounting, Basic Descriptive Statistics, Business Analysis, Communication, Computer Programming, Corporate Accouting, Correlation And Dependence, Data Analysis, Data Visualization, Deep Learning, Finance, General Statistics, Investment Management, Machine Learning, Machine Learning Algorithms, Marketing, Modeling, Probability & Statistics, Probability Distribution, Python Programming, Regression, Risk Management, Statistical Analysis, Statistical Programming, Statistical Tests

      4.6

      (25 reviews)

      Beginner · Specialization · 3-6 Months

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      MathWorks

      Image Processing for Engineering and Science

      Skills you'll gain: Analysis, Computer Graphic Techniques, Computer Graphics, Computer Vision, Data Analysis, Data Analysis Software, Linear Algebra, Machine Learning, Mathematics, Matlab, Operations Management, Strategy and Operations

      4.8

      (39 reviews)

      Beginner · Specialization · 1-3 Months

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    In summary, here are 10 of our most popular artificial intelligence courses

    • Introduction to Machine Learning: Duke University
    • Clinical Data Science: University of Colorado System
    • Advanced Business Analytics: University of Colorado Boulder
    • Fintech Startups in Emerging Markets: University of Cape Town
    • Business Analytics: University of Illinois at Urbana-Champaign
    • Digital Manufacturing & Design Technology: University at Buffalo
    • Recommender Systems: University of Minnesota
    • Cloud Computing: University of Illinois at Urbana-Champaign
    • Data Science: Johns Hopkins University
    • Virtual Reality: University of London

    Frequently Asked Questions about Artificial Intelligence

    • Artificial intelligence (AI) is a fast-growing branch of computer science focused on enabling computers to perform a wide range of tasks that previously required human intelligence. Today, AI is used to power a wide range of tasks, such as image recognition, language translation, and prioritization of email or business workflows. So, if you have a smartphone, chances are you use software with AI capabilities every day.

      AI is often discussed in tandem with the closely related concept of machine learning. Machine learning is the use of step-by-step processes called algorithms to allow computers to solve problems on their own - and, over time, get steadily better at doing so. Well-designed machine learning algorithms give computers the ability to solve a wide range of problems much more effectively and flexibly than if programmers had to provide detailed instructions for one specific use case.

      While machine learning is used to create many simple AI applications, this approach typically requires massive, clearly-defined datasets to properly “train” the program. To create more sophisticated AI applications, an advanced type of machine learning called deep learning is used. Deep learning uses artificial neural networks that, as its name implies, are patterned after the human brain and do not require such structured datasets and human guidance to be successful. Instead, the AI application can be fed diverse, unstructured datasets and learn itself how to achieve a specified goal.

      Even today’s most powerful deep learning approaches are not capable of mimicking the complexity and creativity of the human brain and its tens of billions of neurons. However, the field of artificial intelligence has made incredible strides in recent years, and is changing the way we live and work in ways that would have seemed outlandish a decade ago. Who knows what the next decade of progress in this exciting field will yield? Students learning skills in this area today may end up producing even more radical breakthroughs.‎

    • As artificial intelligence (AI) touches more and more areas of our daily lives, it is becoming useful to more and more career paths. Indeed, at least some background in this field is required for a growing number of jobs, and it can help give you a significant advantage over the competition in many others.

      Naturally, AI and its subfields are in very high demand for popular computer science jobs. Data scientists rely on machine learning and deep learning skills in their daily work, applying various data mining techniques to both structured and unstructured big data in order to produce valuable insights for a wide variety of businesses. Skills in natural language processing (NLP) are needed to create useful chatbots for customer service as well as voice-activated assistants like Amazon’s Alexa. And advanced AI skills can put you on the cutting edge of computer programming, working on teams seeking to achieve ambitious goals like self-driving cars or autonomous robots.

      A background in AI can help you in more and more jobs outside the realm of computer science, as well - it’s not much of an exaggeration to say that if a job requires human intelligence to do, artificial intelligence can help.

      For example, a familiarity with machine learning can help business analysts understand and use sophisticated tools for predicting movements in the market - or develop these tools themselves. Doctors and other healthcare professionals are leveraging AI to assist with diagnosing illnesses, prescribing treatments, and analyzing medical data. Even creative professionals in visual arts and music can take advantage of AI tools to help them generate images and melodies.‎

    • Coursera offers online courses in an incredibly wide range of computer science topics, and artificial intelligence is no exception. If you’re a computer science student interested in this fast-growing field, online courses can give you an introduction to AI and machine learning, or help you hone your Python skills for data science. More advanced learners can dive deep, with courses and Specializations in AI engineering and deep learning. Even non-computer scientists can benefit from courses geared towards their field, such as the use of machine learning for trading and other business professionals.

      Whatever your level of expertise and area of interest, online courses let you learn remotely on a flexible schedule and, typically, a lower cost than on-campus alternatives. And thanks to Coursera’s partnerships with top-ranked schools like Stanford University and Imperial College London, as well as industry leaders like IBM and Google Cloud, students can get all the advantages of online learning while still getting a high-quality education in this exciting field.‎

    • The skills or experience you may need to have before learning artificial intelligence (AI) includes having a solid knowledge of math, science, and computer science, specifically data science. You may want to have experience with advanced math, such as calculus and algebra, Bayesian algorithms, plus probability and statistics. In addition, a science background may be good to have for learning AI, including an understanding of physics, mechanics, cognitive learning theory, and language processing. It will also help to have a good command of computer science, including programming languages and tools such as Python, C++, and Java. Understanding the basic foundations of machine learning, deep learning, and neural networks may also be helpful to you before learning AI. If you already have some experience in software development, automotive manufacturing, and aerospace manufacturing fields, you may already have some necessary understanding of the way AI is applied in these industries.‎

    • The kind of people who are best suited for roles in AI are interested in highly scientific concepts and tools. People well suited to work in roles in AI feel comfortable experimenting with advanced technologies and concepts, such as machine learning, a part of AI that has given the world self-driving cars, for example. They also feel energized working with sophisticated pieces of software that can make decisions by analyzing data. In addition, the type of people well suited to work in roles in AI may want to learn to have the ability to build sophisticated pieces of equipment, such as robotics, which operate on internal software.‎

    • Learning artificial intelligence may be right for you if you plan on becoming an AI developer, machine learning engineer, data scientist, or research engineer or if you want your company to become better at using AI. In addition, learning AI may be beneficial if you are in the medical field, which AI is transforming when it comes to diagnosing, treating, and predicting outcomes. Learning AI may benefit you if you want to understand what AI realistically can and can't do and if you want to be able to spot opportunities to apply AI to your organization’s problems and know how to navigate the ethics of machine learning, along with other dimensions of AI.‎

    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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