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    • Artificial Intelligence

    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 Artificial Intelligence Course for Your Goals

    • Status: Free
      Free
      U

      Università Bocconi

      Food & Beverage Management

      Skills you'll gain: Food and Beverage, Hospitality Management, Restaurant Management, Product Quality (QA/QC), Global Marketing, Market Dynamics, Business Strategy, Consumer Behaviour, Value Propositions, Competitive Analysis, Innovation, Brand Management, Growth Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.9K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Linear Algebra for Machine Learning and Data Science

      Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Machine Learning Methods, Jupyter, Data Manipulation, Data Science, Applied Mathematics, Python Programming, Artificial Intelligence

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • T

      The University of North Carolina at Chapel Hill

      Positive Psychology

      Skills you'll gain: Positivity, Resilience, Personal Development, Emotional Intelligence, Adaptability, Relationship Building, Psychology, Creativity, Mindfulness, Community Health

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Mixed · Course · 1 - 3 Months

    • D

      DeepLearning.AI

      Natural Language Processing with Classification and Vector Spaces

      Skills you'll gain: Natural Language Processing, Supervised Learning, Dimensionality Reduction, Feature Engineering, Machine Learning Algorithms, Artificial Intelligence, Tensorflow, Linear Algebra, Probability & Statistics

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.6K reviews

      Intermediate · Specialization · 3 - 6 Months

    • G

      Google

      Satisfaction Guaranteed: Develop Customer Loyalty Online

      Skills you'll gain: Loyalty Programs, Customer Retention, Customer Relationship Management, E-Commerce, Customer Service, Google Analytics, Professional Networking, Web Analytics, Marketing Analytics, Digital Marketing, Customer Insights, Generative AI Agents, Interviewing Skills, Business Metrics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • L

      LearnQuest

      Ethics in the Age of AI

      Skills you'll gain: Data Ethics, Predictive Modeling, OpenAI, Algorithms, Data Collection, Machine Learning, Predictive Analytics, Artificial Intelligence, Information Privacy, Game Theory, Large Language Modeling, Ethical Standards And Conduct, Personally Identifiable Information, Statistical Modeling, Machine Learning Algorithms, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Analysis, Data Security, Business Ethics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      754 reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Alberta

      Sample-based Learning Methods

      Skills you'll gain: Reinforcement Learning, Sampling (Statistics), Machine Learning Algorithms, Simulations, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Algorithms, Probability Distribution

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Assess for Success: Marketing Analytics and Measurement

      Skills you'll gain: Media Planning, A/B Testing, Marketing Budgets, Key Performance Indicators (KPIs), Marketing Analytics, Marketing Effectiveness, Performance Measurement, Data Visualization, Google Analytics, Google Ads, Return On Investment, Spreadsheet Software, Data Presentation, Web Analytics, Online Advertising, Digital Marketing, Pivot Tables And Charts, Stakeholder Communications, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New AI skills
      New AI skills
      A

      Adobe

      Adobe Content Creator

      Skills you'll gain: Color Theory, Social Media Content, Target Audience, Video Production, Typography, Color Matching, Multimedia, Content Creation, Generative AI, Graphic and Visual Design, Social Media Strategy, Content Performance Analysis, Social Media Marketing, Visual Design, Storyboarding, Design, Prompt Engineering, Adobe Creative Cloud, Data Ethics, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      755 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • P

      PwC

      Data-driven Decision Making

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Data Literacy, Big Data, Data Storytelling, Statistical Analysis, Microsoft Excel, Data Visualization Software, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Michigan

      AI for Mechanical Engineers

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

      4.2
      Rating, 4.2 out of 5 stars
      ·
      37 reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • Food & Beverage Management: Università Bocconi
    • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
    • Positive Psychology : The University of North Carolina at Chapel Hill
    • Natural Language Processing with Classification and Vector Spaces: DeepLearning.AI
    • Machine Learning on Google Cloud: Google Cloud
    • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
    • Ethics in the Age of AI: LearnQuest
    • Sample-based Learning Methods: University of Alberta
    • Assess for Success: Marketing Analytics and Measurement: Google
    • Adobe Content Creator: Adobe

    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

    • Strong mathematics foundation (calculus, linear algebra, probability)
    • Basic programming experience (typically Python)
    • Understanding of basic statistics
    • However, there are also introductory courses specifically designed for beginners with no technical background. These courses focus on AI concepts and applications before diving into technical implementation.‎
    • Broader coverage of intelligence simulation (natural language processing, computer vision, robotics)
    • Focus on decision-making and reasoning systems
    • Coverage of symbolic AI and knowledge representation
    • Ethics and philosophical implications of AI
    • Machine learning courses focus more specifically on algorithms that learn from data. Many learners find it beneficial to start with machine learning before moving to broader AI topics.‎
    • Building and deploying AI models
    • Working with popular AI frameworks (TensorFlow, PyTorch)
    • Implementing natural language processing systems
    • Developing computer vision applications
    • Creating autonomous decision-making systems
    • Ethical AI development and deployment
    • Projects are designed to mirror real-world scenarios you'll encounter in AI roles.‎

    AI expertise opens doors to various roles:

    • AI Engineer/Developer
    • Machine Learning Engineer
    • Natural Language Processing (NLP) Specialist
    • Computer Vision Engineer
    • AI Research Scientist
    • AI Ethics Consultant
    • AI Product Manager
    • The field continues to grow with new specializations emerging regularly. Many courses include guidance on career paths and job preparation. Use this decision tree guide to explore AI career paths.‎

    Yes, Coursera offers a variety of free courses across many topics, including artificial intelligence. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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