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    Artificial Intelligence Courses

    Artificial intelligence courses can help you learn how to build systems that solve problems, recognize patterns, and make decisions using data and algorithms.

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    Find the Best AI Course for Your Goals

    • Status: Free Trial
      Free Trial
      T

      Technical University of Munich (TUM)

      Digitalisation in Aeronautics and Space

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

      4.6
      Rating, 4.6 out of 5 stars
      ·
      464 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      T

      Technical University of Munich (TUM)

      Digitalisation in the Aerospace Industry

      Skills you'll gain: Human Factors, Manufacturing and Production, Manufacturing Processes, Production Process, Automation, Leadership, Human Machine Interfaces, Digital Transformation, Robotic Process Automation, Maintenance, Repair, and Facility Services, Artificial Intelligence, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      265 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      N

      Northwestern University

      Modern Robotics: Mechanics, Planning, and Control

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      R

      Real Madrid Graduate School Universidad Europea

      Future of AI in Sports and Practical Applications

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

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      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

    • 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, Robotic Process Automation, Manufacturing Processes, Control Systems, Computer-Aided Design, Manufacturing Operations, Programmable Logic Controllers, Automation, Internet Of Things, Production Process, Mechanical Design, Cyber Engineering, Lean Manufacturing, Digital Transformation, Business Technologies, Engineering Analysis, C (Programming Language)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      19 reviews

      Intermediate · Specialization · 1 - 3 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Robotics with Webots

      Skills you'll gain: Robotic Process Automation, Data Mapping, Artificial Intelligence, Automation, Graph Theory, Planning, Algorithms, Simulation and Simulation Software, Mechanics, Real-Time Operating Systems, Computer Programming, Control Systems, Simulations, Computer Science, Computer Vision, Engineering, Global Positioning Systems, Computer Graphics, Linear Algebra, Design

      Build toward a degree

      4.5
      Rating, 4.5 out of 5 stars
      ·
      56 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      U

      UiPath

      Introduction to agentic automation

      Skills you'll gain: Agentic systems, Business Process Automation, Automation, Robotic Process Automation, Workflow Management, Artificial Intelligence, Data Ethics, Decision Making, Accountability, Data Security

      Beginner · Course · 1 - 4 Weeks

    • 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, Emerging Technologies, Medical Equipment and Technology, Computer Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      47 reviews

      Beginner · Course · 1 - 4 Weeks

    • A

      Alfaisal University | KLD

      أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI

      Skills you'll gain: Computer Vision, Natural Language Processing, Machine Learning, Big Data, Artificial Intelligence, Supervised Learning, Deep Learning, Reinforcement Learning, Robotic Process Automation, Data Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      209 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      R

      Rutgers the State University of New Jersey

      Generative AI & Governmental Financial Reporting

      Skills you'll gain: Prompt Engineering, Scalability, Large Language Modeling, Governmental Accounting, Unstructured Data, Financial Data, Generative AI, Accounting, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Robotic Process Automation, Data Processing, Automation, Application Programming Interface (API), Decision Making, User Interface (UI)

      Intermediate · Course · 1 - 4 Weeks

    • U

      Universidades Anáhuac

      Introducción a la Robótica e Industria 4.0

      Skills you'll gain: Data Ethics, Robotic Process Automation, Automation, Internet Of Things, Emerging Technologies, Business Technologies, Artificial Intelligence, Big Data, Data Analysis Software, Cybersecurity, Augmented and Virtual Reality (AR/VR), Artificial Intelligence and Machine Learning (AI/ML), Data Collection, Real Time Data, Programming Principles, Data-Driven Decision-Making

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8 reviews

      Beginner · Course · 1 - 3 Months

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    12

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

    • Digitalisation in Aeronautics and Space: Technical University of Munich (TUM)
    • Digitalisation in the Aerospace Industry: Technical University of Munich (TUM)
    • Modern Robotics: Mechanics, Planning, and Control: Northwestern University
    • Future of AI in Sports and Practical Applications: Real Madrid Graduate School Universidad Europea
    • El futuro de la inteligencia artificial en el deporte: Real Madrid Graduate School Universidad Europea
    • Digital Technology in Manufacturing: L&T EduTech
    • Introduction to Robotics with Webots: University of Colorado Boulder
    • Introduction to agentic automation: UiPath
    • How to Get Into Robotics: University of Leeds
    • أساسيات الذكاء الاصطناعي والبيانات الضخمة | AI: Alfaisal University | KLD

    Why Learn Artificial Intelligence?

    Artificial intelligence (AI) is the field of developing systems that can perform tasks typically requiring human intelligence—like recognizing patterns, making decisions, and learning from data. It’s driving innovation across industries, from healthcare and finance to robotics and software development. Learning AI can help you understand emerging technologies and contribute to solutions that shape the future.

    Frequently Asked Questions about Artificial Intelligence

    Start by considering how you want to apply AI—whether you're aiming to build foundational knowledge, develop models, or explore applied uses like chatbots or computer vision.

    • For foundational AI theory and applications, start with AI For Everyone by Andrew Ng (no coding required).
    • For hands-on model development and machine learning, explore the Machine Learning Specialization also by Andrew Ng.
    • Interested in building with AI tools? Consider Generative AI with Large Language Models from DeepLearning.AI and AWS.‎

    If you're new to AI or don't have a technical background, these beginner-friendly courses provide a solid starting point:

    • AI For Everyone – A non-technical overview of AI.
    • Introduction to Artificial Intelligence (AI) by IBM – Offers beginner-level instruction on AI concepts and practical use cases.
    • Fundamentals of Reinforcement Learning by the University of Alberta is accessible to those new to AI, with some math background. ‎
    • A course focuses on a specific topic. For example, AI For Everyone introduces AI without requiring coding skills.
    • A Specialization is a sequence of courses that build deeper expertise, like the AI Foundations for Everyone Specialization from IBM.
    • A Professional Certificate prepares you for specific job roles with portfolio-building and career insights—like the IBM AI Engineering Certificate.‎

    Click here to ask ChatGPT to find the right AI course on Coursera for your learning goals.‎

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

    • Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
    • 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.‎

    AI courses cover a range of topics, including algorithms, supervised and unsupervised learning, deep learning, and how AI is used in fields like healthcare, finance, and robotics. Some courses also introduce tools like Python, TensorFlow, and PyTorch.‎

    Not necessarily. Some beginner AI courses are designed to help you learn the basics without prior experience. However, for more advanced topics, a background in Python and math (especially linear algebra and probability) can be helpful.‎

    AI course content often covers machine learning, deep learning, neural networks, natural language processing, and computer vision. It may also include hands-on projects using tools like Python and TensorFlow. Courses like AI For Everyone by Andrew Ng on Coursera offer an accessible starting point, while more advanced programs dive deeper into algorithms and model training.‎

    AI design is the process of creating user experiences and systems that incorporate artificial intelligence. It includes designing for adaptability, transparency, and user trust in AI-driven products. Courses like Foundations in Human-Centered AI from Northeastern University on Coursera teach how to build intuitive, ethical, and effective AI-powered experiences.‎

    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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