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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

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Databricks to Local LLMs

      Skills you'll gain: Databricks, Generative AI, Data Lakes, Extract, Transform, Load, MLOps (Machine Learning Operations), Data Transformation, Data Pipelines, Large Language Modeling, Apache Spark, Analytics, Data Analysis, Data Ethics, Data Science, CI/CD, Data Governance

      4.4
      Rating, 4.4 out of 5 stars
      ·
      7 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Natural Language Processing with Real-World Projects

      Skills you'll gain: Matplotlib, Natural Language Processing, Data Visualization, Deep Learning, Linear Algebra, Semantic Web, Seaborn, Python Programming, Machine Learning, NumPy, Supervised Learning, Pandas (Python Package), Artificial Neural Networks, Data Processing, Text Mining, Data Science, Unstructured Data, Applied Machine Learning, Markov Model, Dimensionality Reduction

      4.7
      Rating, 4.7 out of 5 stars
      ·
      7 reviews

      Beginner · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      Data Analysis in R: Predictive Analysis with Regression

      Skills you'll gain: Ggplot2, Data Visualization, Regression Analysis, Predictive Analytics, Data-Driven Decision-Making, Statistical Modeling, R Programming, Descriptive Statistics, Exploratory Data Analysis, Statistics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      13 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Quantum Computing with Qiskit and Advanced Algorithms

      Skills you'll gain: Algorithms, IBM Cloud, Python Programming, Theoretical Computer Science, Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Computational Thinking, Jupyter, Emerging Technologies, Linear Algebra, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Interpretable Machine Learning Applications: Part 1

      Skills you'll gain: Feature Engineering, Classification And Regression Tree (CART), Decision Tree Learning, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Import/Export, Data Analysis, Machine Learning, Data-Driven Decision-Making, Regression Analysis

      4.4
      Rating, 4.4 out of 5 stars
      ·
      52 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Politecnico di Milano

      Water: an essential resource

      Skills you'll gain: Water Resources, Environmental Engineering, Sanitation, Environmental Monitoring, Civil Engineering, Environment and Resource Management, Environmental Science, Chemical Engineering, Pollution Prevention, Human Centered Design, Risk Analysis, Continuous Monitoring, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      52 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

      Skills you'll gain: Feature Engineering, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning, MLOps (Machine Learning Operations), Dataflow, Unsupervised Learning, Supervised Learning, Data Pipelines, Artificial Neural Networks, Machine Learning Algorithms, PyTorch (Machine Learning Library), Data Processing, Applied Machine Learning, Performance Tuning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      92 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      Digging Deeper into Audience Reports in Google Analytics

      Skills you'll gain: Google Analytics, Web Analytics, Benchmarking, Customer Engagement, Customer Analysis, Performance Analysis, Management Reporting, Customer Retention, User Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      54 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Informed Clinical Decision Making using Deep Learning

      Skills you'll gain: Deep Learning, Data Ethics, Health Informatics, ICD Coding (ICD-9/ICD-10), Clinical Data Management, Data Mining, Descriptive Analytics, Database Design, Electronic Medical Record, Precision Medicine, Healthcare Ethics, Electocardiography, Machine Learning, Machine Learning Methods, Patient Flow, Artificial Neural Networks, Predictive Analytics, Applied Machine Learning, Image Analysis, Time Series Analysis and Forecasting

      4.3
      Rating, 4.3 out of 5 stars
      ·
      33 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Instructor Network

      GenAI for Financial Data Analysis

      Skills you'll gain: Generative AI, Financial Data, Complex Problem Solving, Microsoft Copilot, Data Ethics, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Modeling, Financial Analysis, Artificial Intelligence, Business Ethics

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IESE Business School

      Persuasive Communication

      Skills you'll gain: Persuasive Communication, Public Speaking, Verbal Communication Skills, Communication, Storytelling, Influencing, Business Communication, Leadership, Trustworthiness, Emotional Intelligence, Organizational Skills

      4.8
      Rating, 4.8 out of 5 stars
      ·
      51 reviews

      Beginner · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Perplexity.AI for Beginners: AI-Powered Search

      Skills you'll gain: Prompt Engineering, Artificial Intelligence, Information Architecture, Data Compilation, Data Presentation, Generative AI

      3.3
      Rating, 3.3 out of 5 stars
      ·
      12 reviews

      Beginner · Guided Project · Less Than 2 Hours

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

    • Databricks to Local LLMs: Duke University
    • Natural Language Processing with Real-World Projects: Packt
    • Data Analysis in R: Predictive Analysis with Regression: Coursera Project Network
    • Quantum Computing with Qiskit and Advanced Algorithms: Packt
    • Interpretable Machine Learning Applications: Part 1: Coursera Project Network
    • Water: an essential resource: Politecnico di Milano
    • Machine Learning with TensorFlow on Google Cloud em Português Brasileiro: Google Cloud
    • Digging Deeper into Audience Reports in Google Analytics: Coursera Project Network
    • Informed Clinical Decision Making using Deep Learning: University of Glasgow
    • GenAI for Financial Data Analysis: Coursera Instructor Network

    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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