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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: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI & ML Engineering

    Skills you'll gain: Unsupervised Learning, Generative AI, Large Language Modeling, Data Management, Natural Language Processing, MLOps (Machine Learning Operations), Supervised Learning, Microsoft Azure, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Infrastructure Architecture, LLM Application, Responsible AI, Generative AI Agents, Applied Machine Learning, Reinforcement Learning, Data Ethics, Prompt Engineering, Data Processing, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    290 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free
    Free
    M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    425 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Artificial Intelligence on Microsoft Azure

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

    4.5
    Rating, 4.5 out of 5 stars
    ·
    962 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Microsoft

    Microsoft AI Agents: From Foundations to Applications

    Skills you'll gain: Responsible AI, Containerization, Prompt Engineering, Scalability, Docker (Software), Application Deployment, Kubernetes, Generative AI Agents, Microservices, Program Development, Microsoft Azure, LangChain, Artificial Intelligence and Machine Learning (AI/ML), System Testing, Artificial Intelligence, Test Case, Distributed Computing, Serverless Computing, Natural Language Processing, Reinforcement Learning

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Data Visualization

    Skills you'll gain: Data Storytelling, Data Analysis Expressions (DAX), Data Presentation, Power BI, Data Ethics, Dashboard, Data Modeling, Data Governance, Extract, Transform, Load, Data Visualization, Interactive Data Visualization, Business Intelligence, Data Visualization Software, Data Analysis, Statistical Analysis, Data Architecture, Correlation Analysis, Data Cleansing, Data Transformation, Database Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    140 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    M

    Microsoft

    Microsoft Power BI Data Analyst

    Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Literacy, Data Visualization, Data Storage, Microsoft Power Platform, Data Collection, Data Quality, Business Analytics, Timelines, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Business Intelligence, Data Integration, Data Storage Technologies, SQL, Data Manipulation

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    8.6K reviews

    Beginner · Professional Certificate · 3 - 6 Months

What brings you to Coursera today?

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft AI Product Manager

    Skills you'll gain: Competitive Analysis, Market Research, User Story, User Interface (UI), Product Roadmaps, Competitive Intelligence, AI Product Strategy, Usability, Persona Development, Product Development, Market Analysis, Product Management, Product Lifecycle Management, Customer Analysis, Market Intelligence, Design Thinking, User Interface (UI) Design, Quality Assurance and Control, Product Strategy, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    293 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Generative AI for Data Analysis

    Skills you'll gain: Prompt Engineering, Data Storytelling, Data Presentation, Dashboard, Interactive Data Visualization, Generative AI, Data Ethics, Responsible AI, Infographics, Data Visualization, Anomaly Detection, Excel Formulas, Predictive Modeling, Data Visualization Software, Microsoft Copilot, Business Reporting, Risk Analysis, Text Mining, Predictive Analytics, Automation

    4.2
    Rating, 4.2 out of 5 stars
    ·
    121 reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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

    Microsoft

    Microsoft SQL Server

    Skills you'll gain: Stored Procedure, Star Schema, Microsoft SQL Servers, Database Design, Relational Databases, Data Integrity, Database Development, Data Integration, SQL, Transaction Processing, Power BI, Data Warehousing, Database Management, Transact-SQL, Data Maintenance, Databases, Query Languages, Database Architecture and Administration, Database Systems, Data Management

    4.5
    Rating, 4.5 out of 5 stars
    ·
    148 reviews

    Beginner · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Building AI Cloud Apps with Microsoft Azure

    Skills you'll gain: Responsible AI, Cloud Development, Image Analysis, Anomaly Detection, Prompt Engineering, Microsoft Copilot, Microsoft Azure, Cloud Storage, Data Storage, Cloud Applications, Text Mining, Microsoft Development Tools, Unsupervised Learning, Data Storage Technologies, Natural Language Processing, Cloud Hosting, Continuous Deployment, Computer Vision, Cloud Computing, Machine Learning

    4.5
    Rating, 4.5 out of 5 stars
    ·
    667 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Generative AI for Software Developers

    Skills you'll gain: Generative AI, Microsoft Copilot, Prompt Engineering, Test Case, Responsible AI, Microsoft Visual Studio, Version Control, Code Review, Data Ethics, GitHub, Software Development Tools, Software Configuration Management, Software Documentation, Application Lifecycle Management, Program Development, Integrated Development Environments, Maintainability, Computer Programming Tools, Artificial Intelligence, Project Management

    4.3
    Rating, 4.3 out of 5 stars
    ·
    144 reviews

    Intermediate · Specialization · 1 - 3 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, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Microsoft AI & ML Engineering: Microsoft
  • Build a computer vision app with Azure Cognitive Services: Microsoft
  • Artificial Intelligence on Microsoft Azure: Microsoft
  • Microsoft AI Agents: From Foundations to Applications: Microsoft
  • Microsoft Data Visualization: Microsoft
  • Microsoft Power BI Data Analyst: Microsoft
  • Microsoft AI Product Manager: Microsoft
  • Microsoft Generative AI for Data Analysis: Microsoft
  • Microsoft SQL Server: Microsoft
  • Building AI Cloud Apps with Microsoft Azure: 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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