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    • Artificial Intelligence

    Artificial Intelligence Courses Online

    Master artificial intelligence for advanced problem-solving. Learn about machine learning, neural networks, and AI applications.

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    Explore the AI Course Catalog

    • I

      IBM

      AI Capstone Project with Deep Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Image Analysis, Data Manipulation, Deep Learning, Verification And Validation, Data Processing, Predictive Modeling, Applied Machine Learning, Computer Vision, Scientific Visualization, Artificial Neural Networks

      4.5
      Rating, 4.5 out of 5 stars
      ·
      632 reviews

      Advanced · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Giving Helpful Feedback

      Skills you'll gain: Constructive Feedback, Recognizing Others, Team Motivation, Tactfulness, Performance Review, Employee Performance Management, Emotional Intelligence, Coaching, Creativity, Communication

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      N

      National Taiwan University

      大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions)

      Skills you'll gain: Marketing Analytics, Social Media, Business Analytics, Market Analysis, Customer Insights, Financial Data, Banking, Business Intelligence, Big Data, Marketing Strategies, Analytics, Data-Driven Decision-Making, Financial Services, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      398 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Business Analytics Capstone

      Skills you'll gain: Data-Driven Decision-Making, Business Analytics, Business Intelligence, Analytics, Peer Review, Performance Measurement, Marketing Analytics, Business Planning, Business Strategy, Strategic Thinking, Strategic Planning, Key Performance Indicators (KPIs), Digital Advertising, Advertising

      4.5
      Rating, 4.5 out of 5 stars
      ·
      765 reviews

      Intermediate · Course · 1 - 3 Months

    • D

      Duke University

      DevOps, DataOps, MLOps

      Skills you'll gain: MLOps (Machine Learning Operations), Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Containerization, Rust (Programming Language), DevOps, Applied Machine Learning, Cloud Solutions, CI/CD, Python Programming, Serverless Computing, Application Frameworks, Docker (Software), Generative AI Agents, GitHub, Command-Line Interface

      4.1
      Rating, 4.1 out of 5 stars
      ·
      164 reviews

      Advanced · Course · 1 - 3 Months

    • D

      Duke University

      Explainable AI (XAI)

      Skills you'll gain: Large Language Modeling, Data Ethics, Decision Tree Learning, Regression Analysis, Generative AI, Artificial Intelligence, Predictive Modeling, Machine Learning, Applied Machine Learning, Statistical Modeling, Artificial Intelligence and Machine Learning (AI/ML), Python Programming, Natural Language Processing, Image Analysis, Machine Learning Methods, Deep Learning, Visualization (Computer Graphics), Predictive Analytics, Artificial Neural Networks, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 1 - 3 Months

    • D

      DeepLearning.AI

      Team Software Engineering with AI

      Skills you'll gain: Software Documentation, Collaborative Software, Software Testing, Technical Documentation, Large Language Modeling, Dependency Analysis, Software Development Tools, Security Testing, Debugging, Maintainability, Software Engineering, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      112 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      U

      University of Toronto

      Mental Health and Resilience for Healthcare Workers

      Skills you'll gain: Resilience, Mental Health, Stress Management, Emotional Intelligence, Mindfulness, Health Care, Crisis Intervention, Behavioral Health, Positive Behavior Support, Psychology

      4.8
      Rating, 4.8 out of 5 stars
      ·
      467 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Codio

      Programming in Java: A Hands-on Introduction

      Skills you'll gain: Apache Maven, Data Import/Export, Object Oriented Programming (OOP), JSON, Java Programming, Debugging, JUnit, Java, Software Documentation, Programming Principles, Data Structures, Computer Programming, Restful API, Integrated Development Environments, File Management, Data Validation, Package and Software Management, Network Protocols, Unit Testing, Computational Thinking

      4.6
      Rating, 4.6 out of 5 stars
      ·
      182 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Supervised Machine Learning: Classification

      Skills you'll gain: Supervised Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Applied Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Processing, Data Cleansing, Machine Learning, Regression Analysis, Data Manipulation, Business Analytics, Feature Engineering, Random Forest Algorithm, Statistical Modeling, Sampling (Statistics), Performance Metric

      4.8
      Rating, 4.8 out of 5 stars
      ·
      407 reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Desarrollador back-end de Meta

      Skills you'll gain: Full-Stack Web Development, Restful API, Django (Web Framework), Relational Databases, Version Control, SQL, Unix Commands, Git (Version Control System), GitHub, Database Design, Responsive Web Design, Database Management Systems, Front-End Web Development, Algorithms, MySQL, Bootstrap (Front-End Framework), Test Driven Development (TDD), Unit Testing, Pseudocode, Web Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      454 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • J

      Johns Hopkins University

      Linear Algebra from Elementary to Advanced

      Skills you'll gain: Linear Algebra, Algebra, Applied Mathematics, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Modeling, Advanced Mathematics, Engineering Analysis, Mathematical Theory & Analysis, Numerical Analysis, Geometry, Graph Theory, Applied Machine Learning, Markov Model, Probability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Beginner · Specialization · 3 - 6 Months

    Artificial Intelligence learners also search

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    1…454647…218

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

    • AI Capstone Project with Deep Learning : IBM
    • Giving Helpful Feedback: University of Colorado Boulder
    • 大數據分析:商業應用與策略管理 (Big Data Analytics: Business Applications and Strategic Decisions): National Taiwan University
    • Business Analytics Capstone: University of Pennsylvania
    • DevOps, DataOps, MLOps: Duke University
    • Explainable AI (XAI): Duke University
    • Team Software Engineering with AI: DeepLearning.AI
    • Mental Health and Resilience for Healthcare Workers: University of Toronto
    • Programming in Java: A Hands-on Introduction: Codio
    • Supervised Machine Learning: Classification: IBM

    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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