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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: Free Trial
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    Technical University of Munich (TUM)

    Digitalisation in Aeronautics and Space

    Skills you'll gain: Global Positioning Systems, Human Factors, Manufacturing Processes, Digital Transformation, Environmental Monitoring, Control Systems, Aerospace Basic Quality System Standards, Automation, Structural Analysis, Engineering Analysis, Big Data, Communication Systems, Human Machine Interfaces, Production Process, Cybersecurity, Cyber Engineering, Spatial Data Analysis, Robotic Process Automation, Mathematical Modeling, Artificial Intelligence

    4.6
    Rating, 4.6 out of 5 stars
    ·
    483 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    U

    University of Colorado Boulder

    Current Issues in Ethics and AI

    Skills you'll gain: Generative AI, Responsible AI, Ethical Standards And Conduct, Healthcare Ethics, Workforce Planning, Information Privacy, Information Technology, Robotic Process Automation, Large Language Modeling, Energy and Utilities

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    T

    Technical University of Munich (TUM)

    Digitalisation in the Aerospace Industry

    Skills you'll gain: Human Factors, Manufacturing Processes, Automation, Human Machine Interfaces, Cyber Engineering, Digital Transformation, Robotic Process Automation, Maintenance, Repair, and Facility Services, Product Lifecycle Management, Artificial Intelligence, Simulation and Simulation Software

    4.6
    Rating, 4.6 out of 5 stars
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    273 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
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    Empower School of Health

    Technological advancement in Healthcare

    Skills you'll gain: Health Technology, Healthcare Ethics, Data Ethics, Telehealth, Medical Privacy, Health Informatics, Responsible AI, Clinical Research Ethics, Emerging Technologies, Healthcare Industry Knowledge, Digital Transformation, Health Systems, Health Disparities, Health Care, Health Equity, Information Privacy, Blockchain, Cloud Storage, Robotic Process Automation, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Digital Technology in Manufacturing

    Skills you'll gain: Product Lifecycle Management, Embedded Systems, Embedded Software, Manufacturing and Production, Manufacturing Processes, Robotic Process Automation, Control Systems, Computer-Aided Design, Programmable Logic Controllers, Automation, Internet Of Things, Production Process, Cyber Engineering, Digital Transformation, Engineering Analysis, C (Programming Language), Computer Engineering, Enterprise Resource Planning, Industrial Engineering, Geometric Dimensioning And Tolerancing

    4.5
    Rating, 4.5 out of 5 stars
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    24 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: New
    New
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    Empower School of Health

    Innovations in Digital Health

    Skills you'll gain: Health Informatics, Health Technology, Emerging Technologies, Big Data, Health Care, Telehealth, Blockchain, Artificial Intelligence, Medical Equipment and Technology, Automation, Interoperability, Robotic Process Automation, Predictive Analytics, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

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    Packt

    MuleSoft for Salesforce Developers

    Skills you'll gain: API Design, Restful API, Application Programming Interface (API), Data Mapping, Application Deployment, Scripting, Salesforce, Robotic Process Automation, Business Process Automation, Software Testing, Development Testing, Data Integration, Unit Testing, Cloud API, Middleware, Cloud-Based Integration, Application Performance Management, Architectural Design, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML)

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
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    Northwestern University

    Modern Robotics: Mechanics, Planning, and Control

    Skills you'll gain: Machine Controls, Control Systems, Automation Engineering, Mathematical Modeling, Mathematical Software, Simulation and Simulation Software, Engineering Calculations, Engineering, Mechanics, Mechanical Engineering, Artificial Intelligence, Applied Mathematics, Engineering Analysis, Automation, Virtual Environment, Robotic Process Automation, Torque (Physics), Graph Theory, Matlab, Numerical Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    1.2K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    R

    Rutgers the State University of New Jersey

    Robotic Process Automation (RPA) in Accounting and Auditing

    Skills you'll gain: Robotic Process Automation, Business Process Automation, Automation, Workflow Management, Artificial Intelligence, Accounting and Finance Software, Excel Macros, Emerging Technologies, Digital Transformation, Natural Language Processing, Systems Integration, Unstructured Data, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    Status: Free Trial
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    R

    Real Madrid Graduate School Universidad Europea

    El futuro de la inteligencia artificial en el deporte

    Skills you'll gain: AI Personalization, Artificial Intelligence, Governance, Data Governance, Emerging Technologies, Automation, Cognitive flexibility, Augmented and Virtual Reality (AR/VR), Advanced Analytics, Innovation, Robotic Process Automation, Law, Regulation, and Compliance, Ethical Standards And Conduct, Predictive Analytics, Performance Appraisal, Decision Making, Consumer Behaviour, Product Roadmaps, Investment Management, Private Cloud

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Robot Localization with Python and Particle Filters

    Skills you'll gain: Spatial Data Analysis, Artificial Intelligence, Robotic Process Automation, Simulations, NumPy

    4.5
    Rating, 4.5 out of 5 stars
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    25 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    U

    University of Leeds

    How to Get Into Robotics

    Skills you'll gain: Automation, Robotic Process Automation, Artificial Intelligence, Manufacturing and Production, Engineering, Healthcare Ethics, Surgery, Emerging Technologies, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Biomedical Engineering, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
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    56 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Digitalisation in Aeronautics and Space: Technical University of Munich (TUM)
  • Current Issues in Ethics and AI: University of Colorado Boulder
  • Digitalisation in the Aerospace Industry: Technical University of Munich (TUM)
  • Technological advancement in Healthcare: Empower School of Health
  • Digital Technology in Manufacturing: L&T EduTech
  • Innovations in Digital Health: Empower School of Health
  • MuleSoft for Salesforce Developers: Packt
  • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
  • Robotic Process Automation (RPA) in Accounting and Auditing: Rutgers the State University of New Jersey
  • El futuro de la inteligencia artificial en el deporte: Real Madrid Graduate School Universidad Europea

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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