Artificial intelligence courses can help you learn how to build systems that solve problems, recognize patterns, and make decisions using data and algorithms.

Skills you'll gain: Responsible AI, Generative AI, Natural Language Processing, Business Intelligence, Content Creation, Risk Mitigation
Beginner · Course · 1 - 4 Weeks

DeepLearning.AI
Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Innovation, Critical Thinking
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Artificial Intelligence and Machine Learning (AI/ML), Productivity Software, Information Systems Security Assessment Framework (ISSAF), Operational Efficiency, Business Process Automation, Data Security, Critical Thinking, Analysis, Innovation
Beginner · Specialization · 1 - 3 Months

Amazon Web Services
Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, Machine Learning
Mixed · Course · 1 - 4 Weeks

University of Pennsylvania
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
Beginner · Specialization · 3 - 6 Months

Multiple educators
Skills you'll gain: Unsupervised Learning, Supervised Learning, Classification And Regression Tree (CART), Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Machine Learning, Jupyter, Data Ethics, Decision Tree Learning, Tensorflow, Responsible AI, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Python Programming
Beginner · Specialization · 1 - 3 Months

Google Cloud
Skills you'll gain: Prompt Engineering, Generative AI Agents, Google Gemini, Responsible AI, Google Workspace, Generative AI, Google Cloud Platform, AI Product Strategy, Productivity Software, LLM Application, Business Leadership, Unstructured Data, Tool Calling, Data Ethics, Customer experience improvement, Artificial Intelligence, Data Governance, Organizational Strategy, Cloud Computing, Collaboration
Beginner · Professional Certificate · 3 - 6 Months

Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, Responsible AI, IBM Cloud, ChatGPT, Workflow Management, Action Oriented, No-Code Development, Machine Learning Software, Natural Language Processing, Business Workflow Analysis, Machine Learning, Artificial Intelligence, Self Service Technologies, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Case Studies, Data Science
Beginner · Specialization · 3 - 6 Months

Skills you'll gain: Prompt Engineering, LangChain, Tool Calling, LangGraph, Agentic systems, Multimodal Prompts, Generative AI, LLM Application, Generative AI Agents, Responsible AI, OpenAI, Artificial Intelligence and Machine Learning (AI/ML), Application Design, Application Deployment, Application Development, Large Language Modeling, UI Components, Semantic Web, Artificial Intelligence, Software Development
Advanced · Professional Certificate · 3 - 6 Months

Microsoft
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
Intermediate · Professional Certificate · 3 - 6 Months

IBM
Skills you'll gain: Prompt Engineering, Prompt Patterns, Software Development Life Cycle, Large Language Modeling, Software Architecture, Computer Vision, Generative AI, LangChain, Responsive Web Design, Restful API, LLM Application, Flask (Web Framework), Responsible AI, IBM Cloud, Data Import/Export, Python Programming, Engineering Software, Workflow Management, Machine Learning, Data Science
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Browse the AI courses below—popular starting points on Coursera.
Start by considering how you want to apply AI—whether you're aiming to build foundational knowledge, develop models, or explore applied uses like chatbots or computer vision.
If you're new to AI or don't have a technical background, these beginner-friendly courses provide a solid starting point:
The Generative AI: Introduction and Applications course by IBM spans 8 hours and covers deeper aspects of:
In contrast, the Introduction to Generative AI course by Google Cloud can be completed in 1 hour, focusing more on:
Both courses address the core topics of generative AI but differ markedly in their depth and specialization. Choose based on your preference for credential recognition and specific skills needed for your career goals."
Take our short quiz to find the artificial intelligence course that best aligns with your interests and goals. Whether you're exploring foundational concepts, machine learning, or tools like chatbots and generative AI, the quiz can help guide your next step. Start the quiz.
Prefer to explore options interactively? Use ChatGPT to compare top-rated courses based on your preferences.
Yes. You can start learning artificial intelligence on Coursera for free in two ways:
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.
AI courses cover a range of topics, including algorithms, supervised and unsupervised learning, deep learning, and how AI is used in fields like healthcare, finance, and robotics. Some courses also introduce tools like Python, TensorFlow, and PyTorch.
Not necessarily. Some beginner AI courses are designed to help you learn the basics without prior experience. However, for more advanced topics, a background in Python and math (especially linear algebra and probability) can be helpful.
AI course content often covers machine learning, deep learning, neural networks, natural language processing, and computer vision. It may also include hands-on projects using tools like Python and TensorFlow. Courses like AI For Everyone by Andrew Ng on Coursera offer an accessible starting point, while more advanced programs dive deeper into algorithms and model training.
AI design is the process of creating user experiences and systems that incorporate artificial intelligence. It includes designing for adaptability, transparency, and user trust in AI-driven products. Courses like Foundations in Human-Centered AI from Northeastern University on Coursera teach how to build intuitive, ethical, and effective AI-powered experiences.