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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

    • I

      IESE Business School

      Marketing estratégico: claves para competir con éxito

      Skills you'll gain: Strategic Marketing, Product Marketing, Marketing, Marketing Strategy and Techniques, Value Propositions, Target Market, Promotional Strategies, Branding, Market Analysis, Marketing Channel, Customer experience strategy (CX), Product Development, Market Dynamics, Customer Insights, Brand Awareness, Consumer Behaviour

      4.8
      Rating, 4.8 out of 5 stars
      ·
      682 reviews

      Beginner · Course · 1 - 4 Weeks

    • M

      Microsoft

      Preparing for AI-900: Microsoft Azure AI Fundamentals exam

      Skills you'll gain: Natural Language Processing, Microsoft Azure, Large Language Modeling, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      136 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      GenAI for Execs & Business Leaders: Integration Strategy

      Skills you'll gain: Return On Investment, Data Strategy, Business Leadership, Generative AI, Business Strategy, Scalability, Strategic Leadership, Compliance Management, Data-Driven Decision-Making, Business Ethics, Artificial Intelligence, Human Resources, Finance, Information Technology Operations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      50 reviews

      Beginner · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Build a Machine Learning Web App with Streamlit and Python

      Skills you'll gain: Machine Learning Algorithms, Data Visualization, Dashboard, Interactive Data Visualization, Data Visualization Software, Applied Machine Learning, Machine Learning, Scikit Learn (Machine Learning Library), Web Applications, Predictive Modeling, Classification And Regression Tree (CART), Python Programming, Pandas (Python Package)

      4.7
      Rating, 4.7 out of 5 stars
      ·
      404 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free
      C

      Coursera Instructor Network

      Leveraging Virtual Assistants for Personal Productivity

      Skills you'll gain: Productivity, Personal Development, Time Management, Automation, ChatGPT, Self Service Technologies, Artificial Intelligence, Prompt Engineering, Business Process Automation, Natural Language Processing, Generative AI

      4.4
      Rating, 4.4 out of 5 stars
      ·
      122 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      Universidad Nacional Autónoma de México

      Database systems

      Skills you'll gain: NoSQL, Data Warehousing, Database Systems, Relational Databases, Database Management, Extract, Transform, Load, SQL, Databases, Data Mining, Business Intelligence, Big Data, Information Systems, MySQL, Predictive Analytics, Database Design, MongoDB, Analytics, Data Modeling, Scalability, Data Store

      4.3
      Rating, 4.3 out of 5 stars
      ·
      680 reviews

      Intermediate · Specialization · 3 - 6 Months

    • C

      Coursera Project Network

      ChatGPT Playground for Beginners: Intro to NLP AI

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI, Telehealth, Patient Education And Counseling, Health Technology, Artificial Intelligence, Natural Language Processing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      65 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • T

      Technical University of Munich (TUM)

      Digitalisation in the Aerospace Industry

      Skills you'll gain: Human Factors, Manufacturing Processes, Production Process, Automation, Leadership, Human Machine Interfaces, Digital Transformation, Maintenance, Repair, and Facility Services, Artificial Intelligence, Simulation and Simulation Software

      4.6
      Rating, 4.6 out of 5 stars
      ·
      260 reviews

      Intermediate · Course · 1 - 4 Weeks

    • M

      Microsoft

      Cybersecurity Solutions and Microsoft Defender

      Skills you'll gain: Security Information and Event Management (SIEM), Cloud Security, Cyber Security Policies, Microsoft Azure, Identity and Access Management, Cybersecurity, Malware Protection, Network Security, Distributed Denial-Of-Service (DDoS) Attacks, Threat Management, Firewall, Security Controls, Endpoint Security, Threat Detection, Virtual Machines, Encryption

      4.6
      Rating, 4.6 out of 5 stars
      ·
      148 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Probabilistic Graphical Models 3: Learning

      Skills you'll gain: Bayesian Network, Applied Machine Learning, Machine Learning Algorithms, Markov Model, Machine Learning, Statistical Modeling, Unstructured Data, Statistical Methods, Probability & Statistics, Algorithms, Test Data

      4.6
      Rating, 4.6 out of 5 stars
      ·
      303 reviews

      Advanced · Course · 1 - 3 Months

    • I

      IBM

      Building Generative AI-Powered Applications with Python

      Skills you'll gain: Generative AI, Large Language Modeling, Web Applications, IBM Cloud, Python Programming, OpenAI, Serverless Computing, Cloud Applications, Front-End Web Development, Prompt Engineering, Application Development, Flask (Web Framework), Artificial Intelligence, Natural Language Processing, Back-End Web Development

      4.7
      Rating, 4.7 out of 5 stars
      ·
      158 reviews

      Intermediate · Course · 1 - 3 Months

    • C

      Copenhagen Business School

      AI and the Illusion of Intelligence

      Skills you'll gain: Artificial Intelligence, Large Language Modeling, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Statistical Machine Learning, OpenAI, Human Learning, Artificial Neural Networks, Generative AI, Computational Thinking, Human Computer Interaction, Emerging Technologies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      24 reviews

      Beginner · Course · 1 - 4 Weeks

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    1…515253…219

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

    • Marketing estratégico: claves para competir con éxito: IESE Business School
    • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
    • GenAI for Execs & Business Leaders: Integration Strategy: IBM
    • Build a Machine Learning Web App with Streamlit and Python: Coursera Project Network
    • Leveraging Virtual Assistants for Personal Productivity: Coursera Instructor Network
    • Database systems: Universidad Nacional Autónoma de México
    • ChatGPT Playground for Beginners: Intro to NLP AI: Coursera Project Network
    • Digitalisation in the Aerospace Industry: Technical University of Munich (TUM)
    • Cybersecurity Solutions and Microsoft Defender: Microsoft
    • Probabilistic Graphical Models 3: Learning: Stanford University

    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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