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Artificial Intelligence Courses

Artificial intelligence courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, predictive modeling, and automating tasks using AI techniques. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing applications that leverage these advanced technologies.


Popular Artificial Intelligence Courses and Certifications


  • Status: Preview
    Preview
    U

    University of Glasgow

    Generative AI for Healthcare Students and Professionals

    Skills you'll gain: Responsible AI, Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Clinical Informatics, Telehealth, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology

    4.8
    Rating, 4.8 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Introduction to Generative AI in Healthcare

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, Health Care Procedure and Regulation, Healthcare Industry Knowledge, Medical Privacy, Artificial Intelligence, Healthcare Ethics, Health Informatics, Treatment Planning, Medical Imaging, Natural Language Processing, Decision Support Systems

    4.2
    Rating, 4.2 out of 5 stars
    ·
    38 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    AI for Mechanical Engineers

    Skills you'll gain: Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Precision Medicine, Machine Learning Software, Generative AI, Machine Learning, Artificial Intelligence, Machine Learning Algorithms, AI Product Strategy, Energy and Utilities, Image Analysis, Technical Design, Deep Learning, Computer Vision, Medical Imaging, Statistical Machine Learning, Reinforcement Learning, Electric Power Systems, Bioinformatics, Data-Driven Decision-Making

    4.3
    Rating, 4.3 out of 5 stars
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    119 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    MathWorks Computer Vision Engineer

    Skills you'll gain: Computer Vision, Image Analysis, Anomaly Detection, Applied Machine Learning, Deep Learning, Image Quality, Artificial Neural Networks, Unsupervised Learning, Matlab, Application Deployment, PyTorch (Machine Learning Library), Machine Learning, Motion Graphics, Supervised Learning, Data Visualization, Automation, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
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    337 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Preview
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    J

    Johns Hopkins University

    Artificial Intelligence for Breast Cancer Detection

    Skills you'll gain: Mammography, Artificial Intelligence, Medical Imaging, Image Analysis, Diagnostic Radiology, Computer Vision, Radiology, Bayesian Network, Artificial Neural Networks, Machine Learning Methods, Machine Learning, Epidemiology, Deep Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    77 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Introduction to Machine Learning

    Skills you'll gain: PyTorch (Machine Learning Library), Machine Learning Methods, Reinforcement Learning, Deep Learning, Image Analysis, Applied Machine Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Supervised Learning, Unsupervised Learning, Python Programming, Computer Vision, Medical Imaging

    4.7
    Rating, 4.7 out of 5 stars
    ·
    3.8K reviews

    Intermediate · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Computer Vision for Engineering and Science

    Skills you'll gain: Computer Vision, Image Analysis, Deep Learning, Matlab, Applied Machine Learning, Machine Learning, Motion Graphics, Supervised Learning, Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Geospatial Information and Technology, Data Integration, Medical Imaging, Data Validation, Estimation, Machine Learning Methods, Performance Tuning, Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    90 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Columbia University

    First Principles of Computer Vision

    Skills you'll gain: Computer Vision, Image Quality, Image Analysis, Computer Graphics, 3D Modeling, Photography, Virtual Reality, Visualization (Computer Graphics), Medical Imaging, Artificial Neural Networks, Unsupervised Learning, Graph Theory, Dimensionality Reduction, Mathematical Modeling, Estimation, Machine Learning Algorithms, Color Theory, Algorithms, Automation Engineering, Electronic Components

    4.7
    Rating, 4.7 out of 5 stars
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    233 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Computer Vision, Anomaly Detection, Image Analysis, Matlab, Deep Learning, Artificial Neural Networks, Unsupervised Learning, Application Deployment, PyTorch (Machine Learning Library), Data Visualization, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Data Synthesis, Performance Tuning, Data Analysis, Classification And Regression Tree (CART), Data Validation, Medical Imaging

    4.9
    Rating, 4.9 out of 5 stars
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    32 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    AI for Medical Diagnosis

    Skills you'll gain: Image Analysis, Diagnostic Radiology, Predictive Modeling, Data Processing, Artificial Intelligence, Tensorflow, Applied Machine Learning, Medical Imaging, Keras (Neural Network Library), Computer Vision, Deep Learning, Natural Language Processing, Machine Learning, Artificial Neural Networks, Magnetic Resonance Imaging, Probability & Statistics, X-Ray Computed Tomography

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    M

    MathWorks

    Medical Image Processing

    Skills you'll gain: Medical Imaging, Magnetic Resonance Imaging, Image Analysis, X-Ray Computed Tomography, Data Import/Export, Biomedical Engineering, Matlab, Computer Vision, Deep Learning, Software Visualization, Machine Learning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Detecting COVID-19 with Chest X-Ray using PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Artificial Neural Networks, Medical Imaging, Machine Learning, Computer Vision, X-Ray Computed Tomography

    4.5
    Rating, 4.5 out of 5 stars
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    339 reviews

    Intermediate · Guided Project · Less Than 2 Hours

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

  • Generative AI for Healthcare Students and Professionals: University of Glasgow
  • Introduction to Generative AI in Healthcare : Coursera
  • AI for Mechanical Engineers: University of Michigan
  • MathWorks Computer Vision Engineer: MathWorks
  • Artificial Intelligence for Breast Cancer Detection: Johns Hopkins University
  • Introduction to Machine Learning: Duke University
  • Computer Vision for Engineering and Science: MathWorks
  • First Principles of Computer Vision: Columbia University
  • Deep Learning for Computer Vision: MathWorks
  • AI for Medical Diagnosis: DeepLearning.AI

Frequently Asked Questions about Artificial Intelligence

Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. This technology is crucial because it has the potential to transform industries, enhance productivity, and improve decision-making processes. AI systems can analyze vast amounts of data quickly, identify patterns, and make predictions, which can lead to innovative solutions in various fields such as healthcare, finance, and education.‎

A variety of job opportunities exist in the field of artificial intelligence. Roles such as AI engineer, data scientist, machine learning engineer, and AI researcher are in high demand. Additionally, positions in AI ethics, data analysis, and AI project management are emerging as organizations increasingly integrate AI into their operations. These roles often require a blend of technical skills and domain knowledge, making them accessible to individuals from diverse backgrounds.‎

To pursue a career in artificial intelligence, you should focus on developing a strong foundation in programming languages such as Python and R, as well as understanding algorithms and data structures. Knowledge of machine learning, statistics, and data analysis is also essential. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, can enhance your skill set. Additionally, soft skills like problem-solving, critical thinking, and effective communication are valuable in this field.‎

There are numerous online courses available for learning about artificial intelligence. Some notable options include the Artificial Intelligence: an Overview Specialization and the Artificial Intelligence with Python: Foundations to Projects Specialization. These courses cover fundamental concepts and practical applications, making them suitable for learners at various levels.‎

Yes. You can start learning artificial intelligence on Coursera for free in two ways:

  1. Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in artificial intelligence, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn artificial intelligence effectively, start by identifying your current skill level and goals. Begin with introductory courses to build foundational knowledge, then progress to more advanced topics. Engage in hands-on projects to apply what you've learned, and consider joining online communities or forums to connect with other learners. Consistent practice and exploration of real-world applications will reinforce your understanding and boost your confidence.‎

Typical topics covered in artificial intelligence courses include machine learning, natural language processing, computer vision, and robotics. Courses often explore the ethical implications of AI, data bias, and algorithm limitations. Additionally, learners may study specific applications of AI in various industries, such as finance, healthcare, and scientific research, providing a comprehensive understanding of the field.‎

For training and upskilling employees in artificial intelligence, courses like the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate are particularly beneficial. These programs are designed to equip professionals with the necessary skills to implement AI solutions effectively in their organizations, fostering a culture of innovation and adaptability in the workforce.‎

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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