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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

    • J

      Johns Hopkins University

      Practical Machine Learning

      Skills you'll gain: Predictive Modeling, Machine Learning Algorithms, Statistical Machine Learning, Feature Engineering, Supervised Learning, Classification And Regression Tree (CART), Applied Machine Learning, Decision Tree Learning, Machine Learning, Random Forest Algorithm, Regression Analysis, Data Processing, Data Collection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.3K reviews

      Mixed · Course · 1 - 4 Weeks

    • I

      Imperial College London

      Introduction to Digital health

      Skills you'll gain: Health Technology, Telehealth, Health Disparities, Health Informatics, Health Care, Health Systems, Electronic Medical Record, Interoperability, Public Health, Epidemiology, Big Data, Digital Transformation, Health Information Management, Machine Learning, Artificial Intelligence

      4.5
      Rating, 4.5 out of 5 stars
      ·
      228 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      M

      Microsoft

      Microsoft Data Visualization

      Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Visualization Software, Data Modeling, Data Governance, Extract, Transform, Load, Interactive Data Visualization, Business Intelligence, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • D

      DeepLearning.AI

      Advanced Computer Vision with TensorFlow

      Skills you'll gain: Computer Vision, Tensorflow, Image Analysis, Applied Machine Learning, Deep Learning, Feature Engineering, Artificial Neural Networks, Visualization (Computer Graphics), Data Processing, Network Architecture

      4.7
      Rating, 4.7 out of 5 stars
      ·
      520 reviews

      Intermediate · Course · 1 - 4 Weeks

    • R

      Rutgers the State University of New Jersey

      AI Concepts and Strategy

      Skills you'll gain: OpenAI, Generative AI, Artificial Intelligence, ChatGPT, Strategic Thinking, Risk Management, Computer Vision, Thought Leadership, Business Ethics, Natural Language Processing, Public Policies

      4.4
      Rating, 4.4 out of 5 stars
      ·
      14 reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Apply Generative Adversarial Networks (GANs)

      Skills you'll gain: Generative AI, PyTorch (Machine Learning Library), Image Analysis, Data Ethics, Computer Vision, Deep Learning, Applied Machine Learning, Machine Learning, Unsupervised Learning, Information Privacy, Artificial Intelligence

      4.8
      Rating, 4.8 out of 5 stars
      ·
      544 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Illinois Urbana-Champaign

      Accounting Data Analytics

      Skills you'll gain: Machine Learning Algorithms, Jupyter, Tableau Software, Matplotlib, Data Visualization Software, Unsupervised Learning, Pandas (Python Package), Scikit Learn (Machine Learning Library), Data Manipulation, Machine Learning, Excel Macros, Text Mining, Applied Machine Learning, Time Series Analysis and Forecasting, Data Processing, Analytics, SQL, Supervised Learning, Accounting and Finance Software, Specialized Accounting

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      562 reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      GPU Programming

      Skills you'll gain: Artificial Neural Networks, Image Analysis, Event-Driven Programming, C and C++, Scalability, Deep Learning, Software Development, Machine Learning Methods, Performance Tuning, Linear Algebra, Distributed Computing, System Programming, Computer Graphics, Computer Hardware, Computer Vision, Numerical Analysis, Computer Architecture, OS Process Management, Data Structures, Performance Testing

      Build toward a degree

      2.7
      Rating, 2.7 out of 5 stars
      ·
      145 reviews

      Intermediate · Specialization · 3 - 6 Months

    • K

      Kennesaw State University

      Cybersecurity: Developing a Program for Your Business

      Skills you'll gain: Cyber Threat Intelligence, Security Management, Internet Of Things, Incident Response, Risk Management, Cyber Security Policies, Cyber Security Strategy, Cyber Governance, Threat Detection, Human Factors (Security), Business Risk Management, Cybersecurity, Threat Management, Security Awareness, Enterprise Risk Management (ERM), Information Management, Mobile Security, Business Ethics, Performance Measurement, Network Security

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Maryland, College Park

      Fundamentals of Technology Sales

      Skills you'll gain: Closing (Sales), Sales Process, Sales Presentation, Technical Sales, Sales, Sales Management, Sales Strategy, Solution Sales Engineering, Prospecting and Qualification, Emerging Technologies, Outside Sales, Inside Sales, Needs Assessment, Consultative Approaches, Negotiation, Overcoming Objections, Cloud Computing, Cybersecurity

      4.7
      Rating, 4.7 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      Wharton Business and Financial Modeling Capstone

      Skills you'll gain: Portfolio Management, Financial Modeling, Presentations, Microsoft PowerPoint, Investment Management, Business Modeling, Data Modeling, Business Analytics, Risk Modeling, Microsoft Excel, Financial Analysis, Regression Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      498 reviews

      Mixed · Course · 1 - 3 Months

    • U

      University of Minnesota

      Recommender Systems

      Skills you'll gain: AI Personalization, Machine Learning Algorithms, Taxonomy, Applied Machine Learning, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Benchmarking, Usability Testing, Exploratory Data Analysis, A/B Testing, Analysis, Artificial Intelligence and Machine Learning (AI/ML), Technical Design, Algorithms, System Design and Implementation, Predictive Modeling

      4.3
      Rating, 4.3 out of 5 stars
      ·
      818 reviews

      Intermediate · Specialization · 3 - 6 Months

    Artificial Intelligence learners also search

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

    • Practical Machine Learning: Johns Hopkins University
    • Introduction to Digital health: Imperial College London
    • Microsoft Data Visualization: Microsoft
    • Advanced Computer Vision with TensorFlow: DeepLearning.AI
    • AI Concepts and Strategy: Rutgers the State University of New Jersey
    • Apply Generative Adversarial Networks (GANs): DeepLearning.AI
    • Accounting Data Analytics: University of Illinois Urbana-Champaign
    • GPU Programming: Johns Hopkins University
    • Cybersecurity: Developing a Program for Your Business: Kennesaw State University
    • Fundamentals of Technology Sales: University of Maryland, College Park

    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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