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Artificial Intelligence Courses

Artificial intelligence courses can help you learn machine learning algorithms, natural language processing, computer vision, and neural networks. You can build skills in data analysis, predictive modeling, and automating tasks using AI techniques. Many courses introduce tools like TensorFlow, PyTorch, and Scikit-learn, that support implementing AI solutions and developing applications that leverage these advanced technologies.


Popular Artificial Intelligence Courses and Certifications


  • Status: Preview
    Preview
    D

    DeepLearning.AI

    AI For Everyone

    Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

    4.8
    Rating, 4.8 out of 5 stars
    ·
    51K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Pennsylvania

    AI For Business

    Skills you'll gain: AI Personalization, Fraud detection, Generative AI, Responsible AI, Data Ethics, Data Management, People Analytics, HR Tech, AI Product Strategy, Data Governance, Big Data, Machine Learning Algorithms, Governance, Business Strategy, Human Resources, Credit Risk, Business Transformation, Artificial Intelligence, Machine Learning, Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.7K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Deep Learning, Responsible AI, Artificial Intelligence, Machine Learning, Unsupervised Learning, Artificial Neural Networks, AI Product Strategy, Regression Analysis, Business Ethics, Computer Vision, Governance

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera

    AI for Business: Generation & Prediction

    Skills you'll gain: Responsible AI, Generative AI, Artificial Intelligence, Financial Forecasting, Analytical Skills, Artificial Intelligence and Machine Learning (AI/ML), Business Ethics, Digital Transformation, Data-Driven Decision-Making, Innovation, Content Creation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    114 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Artificial Intelligence in Finance and Wealth Management

    Skills you'll gain: Data Ethics, Responsible AI, Wealth Management, Supervised Learning, Machine Learning, Financial Services, Applied Machine Learning, AI Personalization, Artificial Intelligence and Machine Learning (AI/ML), Learning Management Systems, Artificial Intelligence, FinTech, Data Mining, Regulatory Compliance, Financial Planning, Relationship Building, Risk Modeling, Legal Risk, Mobile Development, Human Computer Interaction

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: AI Personalization, Marketing Strategies, Digital Transformation, Marketing, Marketing Analytics, Data-Driven Decision-Making, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Competitive Analysis, Network Analysis, Customer experience improvement, Customer Engagement

    4.6
    Rating, 4.6 out of 5 stars
    ·
    340 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Agentic AI and AI Agents for Leaders

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Workflow Management, Agentic systems, LLM Application, Productivity, OpenAI, Artificial Intelligence, AI Personalization, Business Process Automation, AI Product Strategy, Personalized Service, Large Language Modeling, Automation, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Expense Management

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Innovations in Investment Technology: Artificial Intelligence

    Skills you'll gain: Investment Management, Wealth Management, Asset Management, Investments, FinTech, Financial Trading, Portfolio Management, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Big Data, Financial Market, Artificial Neural Networks, Machine Learning, Predictive Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    416 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    L

    Lund University

    AI, Business & the Future of Work

    Skills you'll gain: Organizational Strategy, Artificial Intelligence, Responsible AI, Strategic Thinking, Business Transformation, Business Risk Management, Business Intelligence, Business Ethics, Automation, Thought Leadership, Interviewing Skills, Human Machine Interfaces

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Google Ads for Beginners

    Skills you'll gain: Google Ads, Keyword Research, Target Audience, Pay Per Click Advertising, Search Engine Marketing, Advertising Campaigns, Campaign Management, Online Advertising, Digital Advertising, Marketing, Digital Marketing, Return On Investment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    5.8K reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Strategic Leader

    Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, Workflow Management, LLM Application, Productivity, OpenAI, Agentic systems, Strategic Decision-Making, Business Intelligence, Business Leadership, Data-Driven Decision-Making, Organizational Leadership, Automation, Strategic Planning, Talent Acquisition, Procurement, Planning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.6K reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    GenAI for Executives & Business Leaders: An Introduction

    Skills you'll gain: Responsible AI, Generative AI, Data Ethics, Artificial Intelligence, Governance, Business Leadership, Business Transformation, Data-Driven Decision-Making, Competitive Intelligence, Digital Transformation, Customer Service, Operational Efficiency

    4.6
    Rating, 4.6 out of 5 stars
    ·
    479 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • AI For Everyone: DeepLearning.AI
  • AI For Business: University of Pennsylvania
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • AI for Business: Generation & Prediction: Coursera
  • Artificial Intelligence in Finance and Wealth Management: University of Illinois Urbana-Champaign
  • Artificial Intelligence in Marketing: University of Virginia
  • Agentic AI and AI Agents for Leaders: Vanderbilt University
  • Innovations in Investment Technology: Artificial Intelligence: University of Michigan
  • AI, Business & the Future of Work: Lund University
  • Google Ads for Beginners: Coursera

Frequently Asked Questions about Artificial Intelligence

Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think and learn like humans. This technology is crucial because it has the potential to transform industries, enhance productivity, and improve decision-making processes. AI systems can analyze vast amounts of data quickly, identify patterns, and make predictions, which can lead to innovative solutions in various fields such as healthcare, finance, and education.‎

A variety of job opportunities exist in the field of artificial intelligence. Roles such as AI engineer, data scientist, machine learning engineer, and AI researcher are in high demand. Additionally, positions in AI ethics, data analysis, and AI project management are emerging as organizations increasingly integrate AI into their operations. These roles often require a blend of technical skills and domain knowledge, making them accessible to individuals from diverse backgrounds.‎

To pursue a career in artificial intelligence, you should focus on developing a strong foundation in programming languages such as Python and R, as well as understanding algorithms and data structures. Knowledge of machine learning, statistics, and data analysis is also essential. Familiarity with AI frameworks and tools, such as TensorFlow or PyTorch, can enhance your skill set. Additionally, soft skills like problem-solving, critical thinking, and effective communication are valuable in this field.‎

There are numerous online courses available for learning about artificial intelligence. Some notable options include the Artificial Intelligence: an Overview Specialization and the Artificial Intelligence with Python: Foundations to Projects Specialization. These courses cover fundamental concepts and practical applications, making them suitable for learners at various levels.‎

Yes. You can start learning artificial intelligence on Coursera for free in two ways:

  1. Preview the first module of many artificial intelligence courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in artificial intelligence, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn artificial intelligence effectively, start by identifying your current skill level and goals. Begin with introductory courses to build foundational knowledge, then progress to more advanced topics. Engage in hands-on projects to apply what you've learned, and consider joining online communities or forums to connect with other learners. Consistent practice and exploration of real-world applications will reinforce your understanding and boost your confidence.‎

Typical topics covered in artificial intelligence courses include machine learning, natural language processing, computer vision, and robotics. Courses often explore the ethical implications of AI, data bias, and algorithm limitations. Additionally, learners may study specific applications of AI in various industries, such as finance, healthcare, and scientific research, providing a comprehensive understanding of the field.‎

For training and upskilling employees in artificial intelligence, courses like the CertNexus Certified Artificial Intelligence Practitioner Professional Certificate are particularly beneficial. These programs are designed to equip professionals with the necessary skills to implement AI solutions effectively in their organizations, fostering a culture of innovation and adaptability in the workforce.‎

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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