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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: Top AI Program
    Top AI Program
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Fine-tuning, Model Deployment, Generative AI, Large Language Modeling, Data Management, Generative Model Architectures, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Generative Adversarial Networks (GANs), Infrastructure Architecture, LLM Application, Responsible AI, Data Infrastructure, Data Preprocessing, Model Optimization

    4.5
    Rating, 4.5 out of 5 stars
    ·
    397 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • 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: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

    Skills you'll gain: Application Programming Interface (API), Microsoft Azure, Cloud API, Computer Vision, Artificial Intelligence and Machine Learning (AI/ML), User Accounts, Image Analysis, Artificial Intelligence, Cloud Computing, Software Development

    4.5
    Rating, 4.5 out of 5 stars
    ·
    543 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Foundations of AI and Machine Learning

    Skills you'll gain: Model Deployment, Data Management, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, Data Infrastructure, AI Integrations, MLOps (Machine Learning Operations), Application Deployment, AI Workflows, Model Evaluation, Data Cleansing, Artificial Intelligence, Data Security, Application Frameworks, Machine Learning, Data Preprocessing, Data Pipelines, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    280 reviews

    Intermediate · Course · 1 - 3 Months

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

    Microsoft

    Microsoft AI Business Professional

    Skills you'll gain: Microsoft Copilot, Generative AI, Responsible AI, Microsoft Teams, Microsoft Excel, Prompt Patterns, AI Orchestration, Analytics, AI literacy, Data Analysis, Prompt Engineering, AI Workflows, LLM Application, Email Automation, Advanced Analytics, Performance Reporting, Collaboration, Project Coordination, Proposal Development, Content Creation

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Generative AI for Data Analysis

    Skills you'll gain: Data Storytelling, Prompt Engineering, Data Presentation, Dashboard, Responsible AI, Dashboard Creation, Interactive Data Visualization, Data Ethics, Generative AI, Infographics, Applied Machine Learning, Data Visualization, Anomaly Detection, Time Series Analysis and Forecasting, Root Cause Analysis, Model Evaluation, AI literacy, Risk Modeling, Predictive Analytics, Automation

    4.3
    Rating, 4.3 out of 5 stars
    ·
    207 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Intro to Artificial Intelligence on Microsoft Azure

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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    25 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Microsoft

    Managing AI Projects with Microsoft

    Skills you'll gain: Responsible AI, MLOps (Machine Learning Operations), Azure DevOps, AI Product Strategy, Decision Intelligence, Business Leadership, AI Security, Microsoft Azure, Organizational Change, AI Enablement, Organizational Leadership, Strategic Leadership, Microsoft Copilot, Solution Delivery, Project Management, Cross-Functional Team Leadership, Business Metrics, Project Management Life Cycle, Agile Project Management, AI literacy

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Hot New Release
    Hot New Release
    M

    Microsoft

    Microsoft AI Agents: From Foundations to Applications

    Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, AI Orchestration, Scalability, Docker (Software), Application Deployment, Agentic Workflows, AI Workflows, Generative AI Agents, Retrieval-Augmented Generation, Prompt Patterns, Microsoft Azure, LangChain, Artificial Intelligence, Microservices, Natural Language Processing, Serverless Computing, Reinforcement Learning, Distributed Computing

    3.3
    Rating, 3.3 out of 5 stars
    ·
    32 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    AI agent fundamentals with Azure AI Foundry

    Skills you'll gain: Prompt Engineering, Agentic Workflows, AI Workflows, Generative AI Agents, AI Orchestration, Agentic systems, Artificial Intelligence and Machine Learning (AI/ML), LLM Application, Application Deployment, Cloud Deployment, Prompt Patterns, Model Deployment, Microsoft Azure, AI Integrations, Prompt Engineering Tools, Multimodal Prompts, Token Optimization, Persona (User Experience), Retrieval-Augmented Generation, Test Case

    3.3
    Rating, 3.3 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft 365 with Generative AI

    Skills you'll gain: Prompt Engineering, Microsoft Copilot, Responsible AI, Presentations, Microsoft Excel, Microsoft Outlook, Data Presentation, Data Ethics, Interactive Data Visualization, Microsoft PowerPoint, Microsoft Teams, Data Storytelling, Predictive Modeling, Microsoft Office, Email Automation, Microsoft 365, Data Visualization Software, Dashboard Creation, Microsoft Word, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    101 reviews

    Beginner · Professional Certificate · 3 - 6 Months

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

    Microsoft

    Practical AI Use in Leadership

    Skills you'll gain: Responsible AI, Risking, Microsoft Copilot, Decision Making, AI Enablement, Strategic Leadership, Business Ethics, Strategic Decision-Making, Accountability, Leadership, Strategic Thinking, Data-Driven Decision-Making, Analysis, Business Management, Generative AI

    Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

1234…23

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

  • Microsoft AI & ML Engineering: Microsoft
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Foundations of AI and Machine Learning: Microsoft
  • Microsoft AI Business Professional: Microsoft
  • Microsoft Generative AI for Data Analysis: Microsoft
  • Intro to Artificial Intelligence on Microsoft Azure: Microsoft
  • Managing AI Projects with Microsoft: Microsoft
  • Microsoft AI Agents: From Foundations to Applications: Microsoft
  • AI agent fundamentals with Azure AI Foundry: Microsoft

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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