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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

    • C

      Columbia University

      First Principles of Computer Vision

      Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Dimensionality Reduction, 3D Modeling, Photography, Artificial Neural Networks, Virtual Reality, Medical Imaging, Visualization (Computer Graphics), Color Theory, Unsupervised Learning, Deep Learning, Graph Theory, Automation Engineering, Mathematical Modeling, Machine Learning Algorithms, Estimation, Electronic Components, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      212 reviews

      Beginner · Specialization · 3 - 6 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

    • S

      Snowflake

      Intro to Snowflake for Devs, Data Scientists, Data Engineers

      Skills you'll gain: Data Manipulation, Data Lakes, Data Warehousing, SQL, Data Pipelines, Cloud Applications, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Generative AI, Large Language Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      77 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Columbia University

      The Construction Industry: The Way Forward

      Skills you'll gain: Construction, Business Transformation, Innovation, Architecture and Construction, Construction Management, Workforce Development, Civil Engineering, Emerging Technologies, Digital Transformation, Thought Leadership, Building Information Modeling, Automation, Data-Driven Decision-Making, Sustainability Reporting, Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      359 reviews

      Beginner · Course · 1 - 3 Months

    • U

      UBITS

      Mindfulness para ser más efectivo

      Skills you'll gain: Productivity, Self-Awareness, Time Management, Mindfulness, Personal Development, Emotional Intelligence, Assertiveness, Stress Management, Resilience, Relationship Building, Communication, Interpersonal Communications, Mental Concentration

      4.7
      Rating, 4.7 out of 5 stars
      ·
      250 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Natural Language Processing on Google Cloud

      Skills you'll gain: Natural Language Processing, Large Language Modeling, Tensorflow, Google Cloud Platform, Keras (Neural Network Library), Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Cloud API, Cloud Solutions, Feature Engineering, Application Programming Interface (API)

      4.4
      Rating, 4.4 out of 5 stars
      ·
      534 reviews

      Advanced · Course · 1 - 3 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, Fire And Life Safety, 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, Artificial Intelligence and Machine Learning (AI/ML)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      126 reviews

      Advanced · Specialization · 3 - 6 Months

    • S

      SkillUp EdTech

      Tableau Data Analyst Certification Preparation

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Peer Review, Data Visualization Software, Presentations, Interactive Data Visualization, Data Visualization, Data Cleansing, Business Intelligence, Real Time Data, Data Manipulation, Data Presentation, Data Analysis Expressions (DAX), Data Quality, Data Transformation, Data Sharing, Data Integration, Pivot Tables And Charts, Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      60 reviews

      Advanced · Specialization · 1 - 3 Months

    • I

      IBM

      Generative AI: Elevate your Software Development Career

      Skills you'll gain: Large Language Modeling, Generative AI, CI/CD, ChatGPT, Software Development, Software Development Life Cycle, Prompt Engineering, DevSecOps, Data Ethics, Artificial Intelligence, OpenAI, Natural Language Processing, Prototyping, Software Architecture, Code Review, Software Testing, Software Design Patterns

      4.5
      Rating, 4.5 out of 5 stars
      ·
      149 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Scrimba

      Generative AI for Web Development

      Skills you'll gain: Prompt Engineering, OpenAI, ChatGPT, Debugging, Generative AI, Large Language Modeling, Pseudocode, Integrated Development Environments, Artificial Intelligence, Software Development Tools, Software Installation, Cloud Applications, Code Review, Application Programming Interface (API), System Configuration, Web Development, Application Development, Data Ethics, Program Development, Application Deployment

      4.3
      Rating, 4.3 out of 5 stars
      ·
      27 reviews

      Intermediate · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      GenAI for Data Analysis : OpenAI Assistant API

      Skills you'll gain: Prompt Engineering, Data Analysis, Generative AI, OpenAI, Data Storytelling, Data Visualization Software, Exploratory Data Analysis, Data Manipulation, Artificial Intelligence, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • U

      University of Leeds

      How to Get Into AI

      Skills you'll gain: Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Automation, Ethical Standards And Conduct, Machine Learning, Analytical Skills, Natural Language Processing

      4.1
      Rating, 4.1 out of 5 stars
      ·
      10 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…505152…219

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

    • First Principles of Computer Vision: Columbia University
    • DevOps, DataOps, MLOps: Duke University
    • Intro to Snowflake for Devs, Data Scientists, Data Engineers: Snowflake
    • The Construction Industry: The Way Forward: Columbia University
    • Mindfulness para ser más efectivo: UBITS
    • Natural Language Processing on Google Cloud: Google Cloud
    • Petroleum Engineering with AI Applications: L&T EduTech
    • Tableau Data Analyst Certification Preparation: SkillUp EdTech
    • Generative AI: Elevate your Software Development Career: IBM
    • Generative AI for Web Development: Scrimba

    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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