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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

    • G

      Google Cloud

      Applying Machine Learning to your Data with Google Cloud

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Big Data, Supervised Learning, Predictive Modeling, Deep Learning, Natural Language Processing, Computer Vision

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      Universidad Nacional Autónoma de México

      Sesenta años de inteligencia artificial

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Social Sciences, Generative AI, Natural Language Processing, Deep Learning, Emerging Technologies, Human Computer Interaction, Information Privacy

      4.8
      Rating, 4.8 out of 5 stars
      ·
      446 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      E

      EDHEC Business School

      Building Strategic Foresight Capabilities

      Skills you'll gain: Systems Thinking, Strategic Thinking, Forecasting, Strategic Decision-Making, Stakeholder Engagement, Organizational Strategy, Complex Problem Solving, Business Transformation, Business Strategy, Trend Analysis, Innovation, Emerging Technologies

      4.9
      Rating, 4.9 out of 5 stars
      ·
      223 reviews

      Intermediate · Course · 1 - 3 Months

    • S

      Starweaver

      Management Skills for New Managers

      Skills you'll gain: Delegation Skills, Emotional Intelligence, Intercultural Competence, Team Leadership, Team Management, Conflict Management, Empathy, Cultural Diversity, Employee Performance Management, Leadership and Management, Trustworthiness, Communication, Leadership, Active Listening, Constructive Feedback, Employee Onboarding

      4.8
      Rating, 4.8 out of 5 stars
      ·
      65 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free
      Free
      I

      Infosec

      AI Security

      Skills you'll gain: Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Governance, Law, Regulation, and Compliance, Program Development, Information Privacy, Legal Strategy, Generative AI, Machine Learning, Ethical Standards And Conduct, Risk Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 3 Months

    • U

      UNSW Sydney (The University of New South Wales)

      Remote Sensing Image Acquisition, Analysis and Applications

      Skills you'll gain: Image Analysis, Unsupervised Learning, Geospatial Information and Technology, Geospatial Mapping, Computer Vision, Feature Engineering, Spatial Analysis, Machine Learning, Dimensionality Reduction, Deep Learning, Supervised Learning, Probability & Statistics, Artificial Neural Networks

      4.7
      Rating, 4.7 out of 5 stars
      ·
      167 reviews

      Intermediate · Course · 3 - 6 Months

    • A

      Aptly

      Marketing with TikTok

      Skills you'll gain: TikTok, Content Performance Analysis, Social Media Content, Social Media Marketing, Storytelling, Social Media Strategy, Content Creation, Performance Measurement, Web Analytics, Video Editing, Advertising, Digital Media Strategy, Advertising Campaigns, Performance Analysis, Marketing, Performance Metric, Digital Advertising, Marketing Analytics, Social Media, Brand Awareness

      4.8
      Rating, 4.8 out of 5 stars
      ·
      98 reviews

      Beginner · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Computer Vision Fundamentals with Google Cloud

      Skills you'll gain: Tensorflow, Computer Vision, Image Analysis, Applied Machine Learning, Artificial Neural Networks, Deep Learning, Supervised Learning, Google Cloud Platform, Machine Learning Methods, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Small Data, Data Processing, Cloud API

      4.5
      Rating, 4.5 out of 5 stars
      ·
      543 reviews

      Advanced · Course · 1 - 3 Months

    • M

      Microsoft

      Microsoft Power Platform Fundamentals

      Skills you'll gain: Microsoft Power Platform, Power BI, Microsoft Power Automate/Flow, Dashboard, Data Visualization, Business Process Automation, Business Intelligence, Workflow Management, Application Development, ChatGPT, Data Analysis Software, Customer Engagement

      4.3
      Rating, 4.3 out of 5 stars
      ·
      151 reviews

      Beginner · Course · 1 - 3 Months

    • M

      Microsoft

      Create Machine Learning Models in Microsoft Azure

      Skills you'll gain: Unsupervised Learning, Scikit Learn (Machine Learning Library), PyTorch (Machine Learning Library), Exploratory Data Analysis, Deep Learning, Microsoft Azure, Data Visualization, Applied Machine Learning, Regression Analysis, Predictive Modeling, Data Analysis, Image Analysis, Pandas (Python Package), Artificial Intelligence and Machine Learning (AI/ML), Data Science, MLOps (Machine Learning Operations), Machine Learning, Supervised Learning, Tensorflow, NumPy

      4.5
      Rating, 4.5 out of 5 stars
      ·
      292 reviews

      Intermediate · Course · 1 - 4 Weeks

    • K

      Korea Advanced Institute of Science and Technology(KAIST)

      Math for AI beginner part 1 Linear Algebra

      Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning, Supervised Learning

      4.4
      Rating, 4.4 out of 5 stars
      ·
      29 reviews

      Beginner · Course · 1 - 3 Months

    • L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Deep Learning, Predictive Modeling, Artificial Neural Networks

      3.2
      Rating, 3.2 out of 5 stars
      ·
      74 reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to artificial intelligence

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    1…484950…219

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

    • Applying Machine Learning to your Data with Google Cloud: Google Cloud
    • Sesenta años de inteligencia artificial: Universidad Nacional Autónoma de México
    • Building Strategic Foresight Capabilities: EDHEC Business School
    • Management Skills for New Managers: Starweaver
    • AI Security: Infosec
    • Remote Sensing Image Acquisition, Analysis and Applications: UNSW Sydney (The University of New South Wales)
    • Marketing with TikTok: Aptly
    • Computer Vision Fundamentals with Google Cloud: Google Cloud
    • Microsoft Power Platform Fundamentals: Microsoft
    • Create Machine Learning Models in Microsoft Azure: Microsoft

    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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