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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: New
    New
    G

    Google

    Google AI

    Skills you'll gain: Vibe coding, Prompt Patterns, AI powered creativity, Brainstorming, Planning, AI literacy, Visual Storytelling, Responsible AI, Prompt Engineering Tools, Generative AI, Data Wrangling, Data Analysis, Content Creation, Artificial Intelligence, Presentations, Business Communication, Data Visualization, Research, Project Management, Machine Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3K reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Illinois Tech

    Artificial Intelligence

    Skills you'll gain: Responsible AI, Machine Learning Methods, Data Ethics, Artificial Intelligence, Machine Learning Algorithms, Generative AI, AI Product Strategy, Machine Learning, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, OpenAI, Anthropic Claude, Supervised Learning, AI Integrations, Market Intelligence, ChatGPT, Emerging Technologies, Deep Learning, Human Factors

    4.3
    Rating, 4.3 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Introduction to Artificial Intelligence

    Skills you'll gain: Generative AI, Generative Model Architectures, Generative Adversarial Networks (GANs), Applied Machine Learning, Statistical Machine Learning, Deep Learning, Responsible AI, Machine Learning Methods, Artificial Intelligence, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, AI Enablement, Machine Learning Algorithms, AI literacy, Artificial Neural Networks, Convolutional Neural Networks, AI Product Strategy, Regression Analysis, Law, Regulation, and Compliance

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    66 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: an Overview

    Skills you'll gain: Machine Learning Methods, Unsupervised Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Intellectual Property, AI literacy, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Legal Risk, Reinforcement Learning, Artificial Intelligence, General Data Protection Regulation (GDPR), Dimensionality Reduction, Cloud Platforms, Deep Learning, Social Impact, Hardware Architecture, Artificial Neural Networks

    4.6
    Rating, 4.6 out of 5 stars
    ·
    840 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to Artificial Intelligence (AI)

    Skills you'll gain: Responsible AI, Generative AI, Generative Model Architectures, LLM Application, AI literacy, Natural Language Processing, Robotics, Risk Mitigation

    4.7
    Rating, 4.7 out of 5 stars
    ·
    23K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free
    Free
    A

    Amazon Web Services

    Exploring Artificial Intelligence Use Cases and Applications

    Skills you'll gain: Generative AI, Business Metrics, Generative Model Architectures, Machine Learning Methods, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Machine Learning Algorithms, AI literacy, Model Evaluation, LLM Application, Artificial Intelligence, Key Performance Indicators (KPIs), Performance Measurement, Performance Metric, Business Solutions

    4.5
    Rating, 4.5 out of 5 stars
    ·
    265 reviews

    Beginner · Course · 1 - 4 Weeks

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

    Skills you'll gain: Responsible AI, Anomaly Detection, Microsoft Azure, Data Ethics, AI Workflows, Artificial Intelligence, Image Analysis, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, AI literacy, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University of Virginia

    Artificial Intelligence in Marketing

    Skills you'll gain: AI Personalization, Marketing Strategies, Data-Driven Marketing, Digital Transformation, Marketing, Marketing Analytics, Network Model, Data-Driven Decision-Making, Machine Learning Algorithms, Personalized Campaigns, Artificial Intelligence, Digital Marketing, Business Strategy, Case Studies, Customer Insights, Competitive Analysis, Network Analysis, Customer Engagement, AI Integrations

    4.6
    Rating, 4.6 out of 5 stars
    ·
    352 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Artificial Intelligence: An Overview

    Skills you'll gain: Artificial Intelligence, AI literacy, Artificial Neural Networks, Computer Vision, Machine Learning, Natural Language Processing, Deep Learning, Robotics, Computer Hardware

    4.5
    Rating, 4.5 out of 5 stars
    ·
    202 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Madecraft

    Artificial Intelligence for Marketing

    Skills you'll gain: AI Personalization, MarTech, Applied Machine Learning, Machine Learning Methods, AI Enablement, Data-Driven Marketing, Marketing, Generative AI, Machine Learning, Natural Language Processing, Data Strategy, Data Quality, Data Literacy, Personalized Campaigns, Text Mining, Culture Transformation, Artificial Intelligence, Prompt Engineering, AI Workflows, Computer Vision

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Illinois Urbana-Champaign

    Advanced Topics in Artificial Intelligence

    Skills you'll gain: Responsible AI, Automation, Artificial Intelligence, Cloud Infrastructure, Infrastructure Architecture, Agentic systems, AI Integrations, AI Personalization, Predictive Modeling, Business Operations

    Build toward a degree

    4.2
    Rating, 4.2 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Understand and Apply Artificial Intelligence Fundamentals

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), AI literacy, Machine Learning Methods, Applied Machine Learning, Machine Learning Algorithms, Decision Intelligence, Data Ethics, Data-Driven Decision-Making, Agentic systems

    Beginner · Course · 1 - 4 Weeks

1234…183

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

  • Google AI: Google
  • Artificial Intelligence: Illinois Tech
  • Introduction to Artificial Intelligence: University of Illinois Urbana-Champaign
  • Artificial Intelligence: an Overview: Politecnico di Milano
  • Introduction to Artificial Intelligence (AI): IBM
  • Exploring Artificial Intelligence Use Cases and Applications: Amazon Web Services
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Artificial Intelligence in Marketing: University of Virginia
  • Artificial Intelligence: An Overview: Politecnico di Milano
  • Artificial Intelligence for Marketing: Madecraft

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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