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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: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Technology Strategies, Business Intelligence, Data Ethics, Business Ethics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D
      S

      Multiple educators

      Machine Learning

      Skills you'll gain: Unsupervised Learning, Machine Learning, Anomaly Detection, Reinforcement Learning, Supervised Learning, Feature Engineering, Decision Tree Learning, Classification And Regression Tree (CART), Data Ethics, Tensorflow, Regression Analysis, Machine Learning Algorithms, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Python Programming, NumPy, Artificial Neural Networks

      Build toward a degree

      4.9
      Rating, 4.9 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Image Analysis, Tensorflow, Deep Learning, Artificial Neural Networks, Natural Language Processing, Keras (Neural Network Library), Data-Driven Decision-Making, Large Language Modeling, Technical Management, Applied Machine Learning, Machine Learning, Debugging, Supervised Learning, Performance Tuning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Machine Learning Algorithms, Test Data

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Generative AI for Software Development

      Skills you'll gain: Prompt Engineering, Software Design Patterns, Large Language Modeling, Test Automation, Collaborative Software, Software Architecture, Software Testing, Debugging, Software Documentation, Dependency Analysis, Database Management, Technical Documentation, Software Systems, System Design and Implementation, Configuration Management, Generative AI, Software Engineering, Software Development, Code Review, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      611 reviews

      Beginner · Professional Certificate · 1 - 3 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI for Everyone

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, OpenAI, ChatGPT, Artificial Intelligence, Data Ethics, Business Process Automation, Artificial Intelligence and Machine Learning (AI/ML), Automation, Feasibility Studies, Supervised Learning, Cost Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Artificial Intelligence, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20K reviews

      Intermediate · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free
      Free
      D

      DeepLearning.AI

      Multi AI Agent Systems with crewAI

      Skills you'll gain: Generative AI Agents, Business Process Automation, Agentic systems, Automation, Coordinating, Artificial Intelligence, Prompt Engineering, Team Oriented, Debugging

      4.8
      Rating, 4.8 out of 5 stars
      ·
      211 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, Descriptive Statistics, Statistical Hypothesis Testing, Bayesian Statistics, Probability Distribution, Probability & Statistics, Sampling (Statistics), Calculus, Applied Mathematics, Advanced Mathematics, A/B Testing, Statistics, Probability, Numerical Analysis, Mathematical Modeling, Statistical Analysis, Data Science, Machine Learning Algorithms, Dimensionality Reduction, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Feature Engineering, Regression Analysis, Applied Machine Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning, Python Programming, NumPy, Statistical Modeling, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Building Systems with the ChatGPT API

      Skills you'll gain: Large Language Modeling, ChatGPT, Jupyter, Prompt Engineering, OpenAI, Generative AI, Computational Thinking

      4.7
      Rating, 4.7 out of 5 stars
      ·
      246 reviews

      Beginner · Project · Less Than 2 Hours

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI Python for Beginners

      Skills you'll gain: Jupyter, Large Language Modeling, Data Storage, Data Manipulation, Python Programming, Prompt Engineering, Data Processing, Artificial Intelligence, OpenAI, Data Structures, Automation, Application Programming Interface (API), Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      155 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      Generative AI with Large Language Models

      Skills you'll gain: Large Language Modeling, Generative AI, Prompt Engineering, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Scalability, Reinforcement Learning, Natural Language Processing, Machine Learning, Performance Tuning, Python Programming, Software Architecture

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.4K reviews

      Intermediate · Course · 1 - 4 Weeks

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    1234…9

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

    • AI For Everyone: DeepLearning.AI
    • Machine Learning: DeepLearning.AI
    • Deep Learning: DeepLearning.AI
    • Generative AI for Software Development: DeepLearning.AI
    • Generative AI for Everyone: DeepLearning.AI
    • Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning: DeepLearning.AI
    • Multi AI Agent Systems with crewAI: DeepLearning.AI
    • Mathematics for Machine Learning and Data Science: DeepLearning.AI
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI
    • Building Systems with the ChatGPT API: DeepLearning.AI

    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.‎

    Take our short quiz to find the artificial intelligence course that best aligns with your interests and goals. Whether you're exploring foundational concepts, machine learning, or tools like chatbots and generative AI, the quiz can help guide your next step. Start the quiz.

    Prefer to explore options interactively? Use ChatGPT to compare top-rated courses based on your preferences.‎

    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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