A variety of platforms offer AI tutorials and courses for all skill levels, from non-technical overviews to advanced, specialized programs. Many are developed in partnership with leading tech companies and universities.
AI fundamentals and overviews
For beginners and non-technical learners
These courses provide a general understanding of AI, its applications, and its societal implications, without requiring a technical background.
- AI for Everyone (Coursera): Taught by AI leader Andrew Ng, this popular, non-technical course covers AI concepts, business strategy, and ethical considerations.
- Elements of AI (University of Helsinki): A series of free online courses teaching the basics of AI to a wide audience. The program includes both a theoretical and a practical component.
- Google AI Essentials (Grow with Google): This beginner-friendly course teaches how to use generative AI tools, write effective prompts, and use AI responsibly in your work.
- Introduction to AI (IBM Skills Network): A beginner-level course covering machine learning, deep learning, and neural networks, with hands-on projects.
Generative AI and prompt engineering
These resources focus on the rapidly evolving field of generative AI, including large language models (LLMs) and tools like ChatGPT.
- Generative AI Learning Path (Google Cloud Skills Boost): An on-demand path that explores the basics of generative AI, with an introductory course, interactive labs, and practical applications.
- Generative AI: Prompt Engineering Basics (Coursera): An IBM course focusing on the fundamentals of prompt engineering for large language models.
- Foundations of Prompt Engineering (AWS): A free course covering the principles and best practices of crafting effective prompts.
- Prompt Engineering for ChatGPT (Vanderbilt University via Coursera): An intermediate course for crafting effective prompts for ChatGPT.
- OpenAI Academy: A new program that aims to democratize access to AI knowledge, with free enrollment and resources on prompt engineering.
Technical and developer courses
For aspiring AI and machine learning engineers
- Machine Learning Specialization (Coursera): A popular, beginner-friendly program from DeepLearning.AI and Stanford Online, also taught by Andrew Ng. It covers the fundamentals of machine learning, including supervised and unsupervised learning.
- Deep Learning Specialization (Coursera): Another DeepLearning.AI offering that focuses on deep learning, neural networks, computer vision, and natural language processing (NLP).
- CS50's Introduction to Artificial Intelligence with Python (Harvard via edX): This advanced course explores search algorithms and other AI concepts, with hands-on projects in Python. It is recommended for those who have taken CS50 or have similar programming experience.
- AI Developer Career Path (Codecademy): A structured program that covers end-to-end AI application development.
- AWS Certified AI Practitioner Certification (Codecademy): A certification path that prepares you for the AWS exam, covering basics like machine learning, AI services, and model deployment.
AI for business and professionals
These programs help business leaders, project managers, and others understand how to leverage AI within their organizations.
- AI for Business (Wharton School via Coursera): A specialization for business professionals covering AI fundamentals, applications in marketing and finance, and strategy.
- AI Foundations for Everyone (IBM): A program that explores AI applications and ethical concerns for all professionals.
- Generative AI for Executives (AWS): A course covering the fundamentals and business value of generative AI, and how to implement it successfully.
Other useful resources
- Kaggle Learn: An online learning platform with free courses covering deep learning, micro-challenges, and practical tutorials.
- MIT Open Learning: Provides access to free courses on AI-related topics through MIT OpenCourseWare and paid options via MIT xPRO.
- Tutorials on YouTube: Free, high-quality video content from experts and creators. For instance, you can find a condensed version of Google's beginner AI course.
- GitHub: Explore open-source projects, including repositories for popular AI libraries like TensorFlow, PyTorch, and Hugging Face, to gain hands-on experience.
To begin learning about artificial intelligence (AI), you can choose from numerous online courses and tutorials depending on your skill level and career goals. Major technology companies like Google, IBM, and Microsoft, as well as university-backed platforms like Coursera and edX, offer extensive learning paths.For beginnersIf you have little to no technical background, these courses provide a foundation in AI concepts and applications.
- AI for Everyone (Coursera): Taught by AI leader Andrew Ng, this course from DeepLearning.AI explains what AI is, what it can and can't do, and how to use it strategically in business.
- Google AI Essentials (Google AI): This course teaches beginners how to use generative AI tools to boost daily productivity. It awards an industry-recognized certificate upon completion.
- Introduction to AI (Coursera): Offered by IBM, this beginner-friendly course covers core AI concepts, generative AI, natural language processing, and other foundational topics.
- Learn How to Use ChatGPT (Codecademy): A free, one-hour course to get started with generative AI, teaching the basics of how ChatGPT works and how to write effective prompts.
- Introduction to Generative AI (Google AI): This is a short, no-charge video course that explains what generative AI is and how it differs from traditional machine learning.
For developers and practitionersFor those with programming experience, these courses offer hands-on training for building and deploying AI and machine learning models.- AI Programming with Python Nanodegree (Udacity): This program is designed to help you become proficient in AI programming using the popular Python language.
- Practical Deep Learning for Coders (Fast.ai): This is a free, practical course focusing on how to get started with deep learning and train high-performance models.
- Machine Learning (Coursera): Stanford University offers this classic, highly-rated machine learning course that covers key algorithms and techniques.
- Intro to PyTorch and Neural Networks (Codecademy): A free, intermediate course on how to use the PyTorch framework to build, train, and test neural networks.
- OpenAI API Coding with Python (Codecademy): An intermediate course on using the OpenAI API within Python code to integrate AI into your applications.
- Azure AI Fundamentals (AI-900) (Codecademy / Microsoft Learn): This certification path prepares you for the AI-900 exam by teaching core AI and machine learning concepts on Microsoft's Azure platform.
For business and strategyThese options are for leaders and professionals who want to understand AI's business impact without needing deep technical expertise.- AI: Implications for Business Strategy (MITx on edX): An executive-level program that explores how to create and implement AI strategies within an organization.
- AI for Business Users (edX): This professional certificate is tailored for business users who need to leverage AI applications effectively.
- AI for Marketing (edX): This professional certificate teaches marketers how to apply AI to their work.
For formal certifications and degreesIf you are looking for credentials to advance your career, consider these programs.- IBM AI Engineering Professional Certificate (Coursera): This program is built to train professionals for a career in AI engineering and covers a wide range of AI technologies.
- Professional Certificate in Computer Science for Artificial Intelligence (HarvardX on edX): A professional certificate covering the algorithms that drive AI programs.
- Post-Baccalaureate Certificate in Fundamentals of Artificial Intelligence (edX): An undergraduate-level certificate for those looking for a more formal introduction to the field.
How to choose the right pathTo decide on the best option for you, consider these factors:- Your experience level: Are you a complete beginner, or do you have a background in programming or data science?
- Your goals: Are you seeking a general overview, a new professional skill, a certification, or a full degree?
- Learning style: Do you prefer interactive tutorials, long-form courses, or quick, project-based lessons?
- Budget: Many platforms offer free and low-cost options, while formal certificates and degrees are a greater financial investment.
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