There are numerous AI courses and tutorials available online, catering to different skill levels and interests, many offerred free of charge. You've heard about AI, but how much do you really know? Learn more about this technology from these course providers.
These courses introduce the essential concepts behind modern AI.
Typical topics include:
- What AI is and how it works
- Machine learning vs.
deep learning
- Neural networks
- Data, training, and evaluation
- Ethical considerations
Great for beginners or anyone building a broad curriculum.
ML courses focus on algorithms that learn from data.
Common modules:
- Supervised vs. unsupervised learning
- Regression,
classification, clustering
- Decision trees, random forests, SVMs
-
Model evaluation and tuning
- Intro to Python ML libraries
(scikit-learn, pandas, NumPy)
These are the backbone of most AI programs.
Deep learning courses dive into neural networks and large-scale models.
Topics often include:
- Feedforward networks
- Convolutional neural networks
(CNNs)
- Recurrent networks (RNNs, LSTMs)
- Transformers
- GPU acceleration
- Training large models
This is where modern AI systems (like language models) come from.
Courses on NLP teach how machines understand and generate language.
Modules typically include:
- Tokenization and embeddings
- Language modeling
-
Sentiment analysis
- Text classification
- Chatbots
- Large
language models (LLMs) and prompt engineering
Perfect for anyone working with text, chatbots, or generative AI.
These courses focus on AI that creates content.
Topics include:
- Image generation
- Text generation
-
Audio/music generation
- Diffusion models
- Prompt engineering
-
Safety and responsible use
This is the fastest-growing category and highly relevant to your creative projects.
Courses tailored to real-world use cases:
- AI in business and productivity
- AI for education
- AI in healthcare
- AI for law and policy
- AI for creative
industries
- AI for research and analysis
These are great for building practical, job-ready skills.
A growing field focused on responsible AI.
Topics include:
- Bias and fairness
- Transparency
- Safety
frameworks
- Regulation and governance
- Societal impacts of AI
- Risk mitigation
Given your interest in AI history and regulation, this category aligns well with your work.
For learners who want to build and ship AI systems.
Modules include:
- MLOps
- Model deployment
- APIs and cloud services
- Data pipelines
- Monitoring and scaling
- Security
considerations
This is the "production" side of AI.
Harvard's Introduction to Artificial Intelligence with Python: A comprehensive seven-week course focusing on AI algorithms and applications.
AI For Everyone by Andrew Ng: : An introductory course designed for non-engineers to understand AI's impact on business and society.
Some of the best sourcs of free AI training courses are tech companies working to incorporate AI in their products and services
Azure AI is a light technical course that introduces generative AI concepts and how to use Microsoft Azure's services.
IBM offers various free resources including:
Amazon's Free AI Courses: Over 100 free and low-cost courses covering machine learning, generative AI, and foundational models.
A self-paced course that introduces the principles of AI and machine learning, along with real-world applications.
Offers dozens of self-paced courses on topics such as deep learning and natural language processing.
AI has moved from a specialty within computer science to a stand-alone major at many American universities. Below is a list of these institutions:
According to CNBC's 2025 report on AI majors:
- Carnegie Mellon University (CMU): First U.S. university to offer a
Bachelor of Science in Artificial Intelligence (launched in 2018).
-
University of Pennsylvania (UPenn): Offers an AI major as part of its
engineering programs.
- Rice University
- Arizona State University
- University of Texas at San Antonio
- Illinois Institute of Technology
- Worcester Polytechnic Institute (WPI)
- Rensselaer Polytechnic
Institute (RPI)
- Purdue University
- Oregon State University
-
University of Colorado Boulder
- University of Florida
- University of
South Carolina
- University of Georgia
These 14 institutions currently offer full bachelor's degrees in AI, not just concentrations.
According to U.S. News, here are the leading undergraduate AI programs within computer science departments:
- Carnegie Mellon University
- Massachusetts Institute of Technology
(MIT)
- Stanford University
- University of California Berkeley
- University of Illinois Urbana-Champaign
- Georgia Institute of
Technology
- University of Washington
- Cornell University
-
University of Texas at Austin
- University of Michigan
These schools may not all offer a stand-alone AI major, but they do offer deep AI coursework, labs, and research opportunities.
Business Insider's 2025 roundup confirms that many universities now offer AI majors, AI graduate degrees, or AI specializations. These are:
- University of Pennsylvania
- Carnegie Mellon University
- Rice
University
- University of Texas at San Antonio
- Rensselaer
Polytechnic Institute
- Worcester Polytechnic Institute
- Illinois
Institute of Technology
- Oregon State University
- University of
Colorado Boulder
- University of Georgia
- University of Florida
- Purdue University
- Arizona State University
- University of South
Carolina
Learn.org's 2026 list highlights top AI degree programs across the U.S., including:
- Carnegie Mellon University
- MIT
- Stanford
- UC Berkeley
- Georgia Tech
- University of Washington
- University of
Illinois Urbana-Champaign
- University of Texas at Austin
-
University of Michigan
- Cornell University
simplilearn.com/best-ai-courses-online-free-articlea>
fortune.com/education/articles/free-ai-classes-you-can-take-online/
skillsbuild.org/students/course-catalog/artificial-intelligence
ininfobip.com/blog/free-online-ai-courses
coursera.org/learn/ai-for-everyone