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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 AI Course for Your Goals

    • G

      Google

      Google Business Intelligence

      Skills you'll gain: Business Intelligence, Data Modeling, Dashboard, Database Design, Extract, Transform, Load, Data Integration, Stakeholder Engagement, Professional Networking, Data Warehousing, Data Presentation, Performance Tuning, Data Pipelines, Data Visualization Software, Business Reporting, Data Integrity, Business Analytics, Interviewing Skills, Professional Development, LinkedIn, Relationship Building

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      I

      IBM

      IBM RAG and Agentic AI

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Generative AI Agents, Database Management, OpenAI, Database Systems, Databases, Tensorflow, Artificial Intelligence, PyTorch (Machine Learning Library), Database Architecture and Administration, Agentic systems, Image Analysis, Natural Language Processing, Application Development, NoSQL, Data Management, Full-Stack Web Development, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      10 reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      458 reviews

      Advanced · Specialization · 3 - 6 Months

    • L

      L&T EduTech

      Petroleum Engineering with AI Applications

      Skills you'll gain: Energy and Utilities, Safety Assurance, Environmental Regulations, Accident Prevention, Environment and Resource Management, Big Data, Plant Operations and Management, Waste Minimization, Process Engineering, Chemical Engineering, Risk Analysis, Environmental Engineering, Failure Mode And Effects Analysis, Data Processing, Process Control, Electric Power Systems, Applied Machine Learning, Manufacturing and Production, Manufacturing Operations, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Advanced · Specialization · 3 - 6 Months

    • G

      Google Cloud

      Advanced Machine Learning on Google Cloud

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

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

      Advanced · Specialization · 3 - 6 Months

    • G

      Google

      Foundations of Business Intelligence

      Skills you'll gain: Business Intelligence, Data Integration, Stakeholder Engagement, Dashboard, Data Modeling, Business Analytics, Real Time Data, Requirements Elicitation, Data Warehousing, Data-Driven Decision-Making, Data Analysis, Key Performance Indicators (KPIs), Data Pipelines, Project Implementation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.8K reviews

      Advanced · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Graph Theory, Machine Learning Algorithms, Probability Distribution, Statistical Modeling, Bayesian Statistics, Markov Model, Decision Support Systems, Machine Learning, Probability & Statistics, Network Analysis, Statistical Inference, Sampling (Statistics), Statistical Methods, Natural Language Processing, Algorithms, Computational Thinking

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

      Advanced · Specialization · 3 - 6 Months

    • I

      IBM

      IBM AI Enterprise Workflow

      Skills you'll gain: Feature Engineering, Data Visualization, Data Ethics, Exploratory Data Analysis, Unsupervised Learning, Data Presentation, Tensorflow, Application Deployment, Dimensionality Reduction, MLOps (Machine Learning Operations), Apache Spark, Statistical Hypothesis Testing, Supervised Learning, Data Pipelines, Design Thinking, Dashboard, Unit Testing, Artificial Neural Networks, Data Science, Artificial Intelligence

      4.3
      Rating, 4.3 out of 5 stars
      ·
      320 reviews

      Advanced · Specialization · 3 - 6 Months

    • I

      Imperial College London

      Advanced Creative Thinking and AI: Tools for Success

      Skills you'll gain: Design Thinking, Creative Thinking, Creativity, Brainstorming, Cognitive flexibility, Ideation, Innovation, Artificial Intelligence, Critical Thinking, Problem Solving

      4.7
      Rating, 4.7 out of 5 stars
      ·
      79 reviews

      Advanced · Course · 1 - 3 Months

    • T

      Tecnológico de Monterrey

      Leadership and Critical Thinking

      Skills you'll gain: Critical Thinking, Organizational Leadership, Independent Thinking, Positivity, Self-Awareness, Stress Management, Leadership, Resilience, Influencing, Motivational Skills, Decision Making, Personal Development, Leadership Development, Industrial and Organizational Psychology, Strategic Thinking, Leadership and Management, Emotional Intelligence, Optimism, Research, Complex Problem Solving

      4.6
      Rating, 4.6 out of 5 stars
      ·
      293 reviews

      Advanced · Specialization · 1 - 3 Months

    • U

      University of Illinois Urbana-Champaign

      Deep Learning for Healthcare

      Skills you'll gain: Deep Learning, Health Informatics, Generative AI, Image Analysis, Machine Learning, Keras (Neural Network Library), Applied Machine Learning, Health Care, Artificial Neural Networks, Supervised Learning, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, PyTorch (Machine Learning Library), Graph Theory, Computer Vision, Network Analysis, Machine Learning Software, Unsupervised Learning, Program Development

      3.1
      Rating, 3.1 out of 5 stars
      ·
      44 reviews

      Advanced · Specialization · 1 - 3 Months

    • E

      ESSEC Business School

      Strategic Business Analytics

      Skills you'll gain: Marketing Analytics, Business Analytics, Forecasting, Peer Review, Data Presentation, Predictive Analytics, R Programming, Customer Analysis, Information Technology, Digital Transformation, Business Marketing, Advanced Analytics, Marketing Strategies, Statistical Analysis, Complex Problem Solving, Analytics, Business Analysis, Data Synthesis, Data Analysis, Data Storytelling

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

      Advanced · Specialization · 3 - 6 Months

    Searches related to artificial intelligence

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    1234…11

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

    • Google Business Intelligence: Google
    • IBM RAG and Agentic AI: IBM
    • MLOps | Machine Learning Operations: Duke University
    • Petroleum Engineering with AI Applications: L&T EduTech
    • Advanced Machine Learning on Google Cloud: Google Cloud
    • Foundations of Business Intelligence: Google
    • Probabilistic Graphical Models: Stanford University
    • IBM AI Enterprise Workflow: IBM
    • Advanced Creative Thinking and AI: Tools for Success: Imperial College London
    • Leadership and Critical Thinking: Tecnológico de Monterrey

    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

    Coursera features AI courses and programs from leading institutions like Stanford University, DeepLearning.AI, and IBM. You’ll find options that cover core concepts, machine learning, neural networks, and real-world AI applications.‎

    Yes, many AI courses offer a free audit option. This means you can access videos and readings at no cost. If you want a certificate or access to graded assignments, you’ll need to pay 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.‎

    Yes. AI is one of the fastest-growing fields, with demand in areas like data science, automation, and software development. Completing an AI course or certificate on Coursera can help you build the skills needed to work on real-world projects and show employers what you’ve learned.‎

    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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