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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: New
      New
      Status: Free Trial
      Free Trial
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Agentic systems, Generative AI Agents, Artificial Intelligence and Machine Learning (AI/ML), Application Development, Software Design Patterns, Databases, Software Architecture, Artificial Intelligence, Database Systems, Web Applications, Large Language Modeling, NoSQL, OpenAI, Flask (Web Framework), Application Frameworks, Decision Support Systems, Data Storage Technologies, Software Development

      4.6
      Rating, 4.6 out of 5 stars
      ·
      117 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Business Intelligence

      Skills you'll gain: Dashboard, Stakeholder Engagement, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Modeling, Data Pipelines, Database Design, Data Storytelling, Data Warehousing, Stakeholder Communications, Interviewing Skills, Data Visualization, Business Analysis, Data Integration, Business Process, SQL, Data Analysis, Applicant Tracking Systems, Resilience

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Data Storytelling, Exploratory Data Analysis, Sampling (Statistics), Statistical Hypothesis Testing, Regression Analysis, Statistical Analysis, Data Ethics, Statistics, Unsupervised Learning, Data Presentation, Data Visualization Software, Data Visualization, Data Analysis, Machine Learning, Data Manipulation, Data Science, Tableau Software, Interviewing Skills, Python Programming, Advanced Analytics

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7.7K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), AWS SageMaker, Cloud Technologies, Microsoft Azure, Data Ethics, Data Pipelines, Pandas (Python Package), Exploratory Data Analysis, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), CI/CD, Data Manipulation, Cloud Computing, Machine Learning, DevOps, Python Programming, GitHub, Big Data, Data Management, Data Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      488 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Information Extraction in Python

      Skills you'll gain: Python Programming, Machine Learning Methods, Data Pipelines, Data Manipulation, Machine Learning Algorithms

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Statistical Modeling, Markov Model, Probability Distribution, Graph Theory, Network Model, Decision Support Systems, Data-Driven Decision-Making, Probability & Statistics, Statistical Machine Learning, Sampling (Statistics), Statistical Inference, Unsupervised Learning, Supervised Learning, Machine Learning, Machine Learning Methods, Network Analysis, Statistical Methods, Algorithms, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    What brings you to Coursera today?

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Advanced Creative Thinking and AI: Tools for Success

      Skills you'll gain: Creative Thinking, Design Thinking, Creative Problem-Solving, Brainstorming, Cognitive flexibility, User Research, Human Centered Design, Innovation, Artificial Intelligence, Generative AI, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      88 reviews

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Advanced Machine Learning on Google Cloud

      Skills you'll gain: MLOps (Machine Learning Operations), Natural Language Processing, Computer Vision, Google Cloud Platform, Large Language Modeling, Reinforcement Learning, Tensorflow, Image Analysis, Applied Machine Learning, Systems Architecture, Artificial Intelligence and Machine Learning (AI/ML), Systems Design, Cloud Computing Architecture, Software Architecture, Cloud API, Hybrid Cloud Computing, Machine Learning, Deep Learning, Machine Learning Algorithms, Performance Tuning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Environmental Engineering, Hazard Communication (HazCom), Safety Assurance, Accident Prevention, Failure Analysis, Failure Mode And Effects Analysis, Risk Analysis, Transportation Operations, Environmental Regulations, Risk Management, Environment and Resource Management, Applied Machine Learning, Plant Operations and Management, Production Process, Artificial Intelligence and Machine Learning (AI/ML), Process Engineering, Chemical Engineering, Anomaly Detection, Manufacturing and Production

      4.6
      Rating, 4.6 out of 5 stars
      ·
      153 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Exploratory Data Analysis, Unsupervised Learning, Data Ethics, Apache Spark, Data Pipelines, Probability Distribution, PySpark, Data Processing, Data Cleansing, MLOps (Machine Learning Operations), Data Storytelling, Data Visualization Software, Supervised Learning, Business Process, Unit Testing, Applied Machine Learning, Data Science, Machine Learning, Python Programming

      4.3
      Rating, 4.3 out of 5 stars
      ·
      327 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Mobile App Developers

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, AI Personalization, Mobile Development, Marketing Strategies, Large Language Modeling, React Native, Mobile Development Tools, Marketing, Marketing Analytics, Software Engineering, iOS Development, Software Development, Software Testing, Application Development, Data Ethics, DevSecOps, Test Case, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8K reviews

      Advanced · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      ESSEC Business School

      Strategic Business Analytics

      Skills you'll gain: Marketing Analytics, Business Analytics, Peer Review, Customer Analysis, Forecasting, Predictive Analytics, Analytics, Data Visualization, Strategic Thinking, Digital Transformation, Business Marketing, People Analytics, Business Strategy, Customer Insights, Research Reports, Trend Analysis, Data Presentation, Data Analysis, Business Intelligence, R Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      1.3K reviews

      Advanced · Specialization · 3 - 6 Months

    Searches related to artificial intelligence

    artificial intelligence essentials
    artificial intelligence specialization
    artificial intelligence ethics
    artificial intelligence fundamentals
    artificial intelligence (ai)
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    1234…12

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

    • IBM RAG and Agentic AI: IBM
    • Google Business Intelligence: Google
    • Google Advanced Data Analytics: Google
    • MLOps | Machine Learning Operations: Duke University
    • Applied Information Extraction in Python: University of Michigan
    • Probabilistic Graphical Models: Stanford University
    • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Petroleum Engineering with AI Applications: L&T EduTech
    • IBM AI Enterprise Workflow: IBM

    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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