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AI (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 AI Courses and Certifications


  • 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

    4.6 stars, 406 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.6 (406) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    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 stars, 288 reviews, Intermediate, Course, 1 - 3 Months

    ★ 4.5 (288) · Intermediate · Course · 1 - 3 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 stars, 1.1K reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.5 (1.1K) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Microsoft AI Business Professional

    Skills you'll gain: Microsoft Copilot, Generative AI, Microsoft Excel, Analytics, Microsoft 365, Data Ethics, Presentations, Analytical Skills, Management Reporting, Prompt Engineering, Spreadsheet Software, Business Analytics, Risking, Communication Planning, Advanced Analytics, Performance Reporting, Collaboration, Project Coordination, Proposal Development, Content Creation

    4.4 stars, 7 reviews, Beginner, Professional Certificate, 3 - 6 Months

    ★ 4.4 (7) · Beginner · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Category: New
    New
    Status: Free trial
    Free trial
  • Unlock 3 months of Google AI Pro at no extra cost today.

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  • M

    Microsoft

    Build a computer vision app with Azure Cognitive Services

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

    4.5 stars, 548 reviews, Intermediate, Guided Project, Less Than 2 Hours

    ★ 4.5 (548) · Intermediate · Guided Project · Less Than 2 Hours

    Category: Free
    Free

What brings you to Coursera today?

  • M

    Microsoft

    Intro to Artificial Intelligence on Microsoft Azure

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

    4.3 stars, 26 reviews, Beginner, Course, 1 - 4 Weeks

    ★ 4.3 (26) · Beginner · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Microsoft Azure AI Fundamentals AI-900 Exam Prep

    Skills you'll gain: Responsible AI, Anomaly Detection, Image Analysis, Text Mining, Unsupervised Learning, Microsoft Azure, Data Ethics, Natural Language Processing, AI Workflows, Computer Vision, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Software, Model Training, Regression Analysis, Artificial Intelligence, AI literacy, Predictive Modeling, Machine Learning, No-Code Development

    4.5 stars, 1.7K reviews, Beginner, Specialization, 3 - 6 Months

    ★ 4.5 (1.7K) · Beginner · Specialization · 3 - 6 Months

    Status: Top AI program
    Top AI program
    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

    3.4 stars, 29 reviews, Intermediate, Course, 1 - 4 Weeks

    ★ 3.4 (29) · Intermediate · Course · 1 - 4 Weeks

    Status: Free trial
    Free trial
  • M

    Microsoft

    Generative AI for Sales Professionals

    Skills you'll gain: Microsoft Copilot, Forecasting, Sales Enablement, Revenue Forecasting, Prompt Engineering, Sales Strategy, Customer Analysis, Data Cleansing, Sales Development, Sales, Sales Operations, Sales Management, Responsible AI, General Sales Practices, Sales Process, Sales Support, Sales Presentations, Customer Relationship Management (CRM) Software, Sales Pipelines, Data Ethics

    4.4 stars, 30 reviews, Beginner, Specialization, 1 - 3 Months

    ★ 4.4 (30) · Beginner · Specialization · 1 - 3 Months

    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, Generative AI, Data Ethics, 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 stars, 216 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.3 (216) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • M

    Microsoft

    Microsoft Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Generative AI, Responsible AI, Generative Model Architectures, Multimodal Prompts, MLOps (Machine Learning Operations), Generative Adversarial Networks (GANs), Azure DevOps Pipelines, AI Orchestration, AI Workflows, Model Deployment, Azure DevOps, ChatGPT, AI Integrations, Microsoft Azure, OpenAI, Fine-tuning, Model Evaluation, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

    4.3 stars, 35 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 4.3 (35) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial
  • 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 stars, 35 reviews, Intermediate, Professional Certificate, 3 - 6 Months

    ★ 3.3 (35) · Intermediate · Professional Certificate · 3 - 6 Months

    Status: Top AI program
    Top AI program
    Status: Free trial
    Free trial

What brings you to Coursera today?

12345

Best Artificial Intelligence courses from Microsoft

Top-rated Artificial Intelligence courses offered by Microsoft on Coursera.

  1. 1
    Microsoft AI & ML Engineering
    MicrosoftIntermediate3 - 6 Months4.6(406)Microsoft
  2. 2
    Foundations of AI and Machine Learning
    MicrosoftIntermediate1 - 3 Months4.5(288)Microsoft
  3. 3
    Artificial Intelligence on Microsoft Azure
    MicrosoftBeginner1 - 4 Weeks4.5(1,119)Microsoft

Best Artificial Intelligence certificate programs

Earn a certificate in Artificial Intelligence from top universities and companies.

  1. 1
    Microsoft AI Business Professional
    MicrosoftBeginner3 - 6 Months4.4(7)Professional Certificate
  2. 2
    Microsoft Azure AI Fundamentals AI-900 Exam Prep
    MicrosoftBeginner3 - 6 Months4.5(1,653)Specialization
  3. 3
    Generative AI for Sales Professionals
    MicrosoftBeginner1 - 3 Months4.4(30)Specialization

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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