AI is everywhere, but don’t be discouraged if it seems confusing. This is a new field and most people are still learning.
We’ve scoured the corners of the internet to find clever (and often free!) courses. These great AI classes will help ensure everyone understands the advances in this cutting-edge field.
There are many free AI courses available online, so choose one that matches your current knowledge level. You can always move on to more advanced courses if you wish.
Understand what AI is and learn about related terms such as neural networks.
Understand what AI is and learn about related terms such as neural networks.
IBM offers this introductory AI course on the edX MOOC platform. This self-paced course can be completed in 4 weeks and is designed for beginners with no programming or computer science experience.
Topics include technical aspects of neural networks and deep learning, AI ethics, bias, work, and social impact.
Consider what benefits chatbots can bring to users and businesses.
IBM offers this free AI course on the edX platform. This module provides a hands-on introduction to creating chatbots using the free tier of Watson Assistant as a backend. The cordless approach is perfect for beginners learning AI for the first time.
Like the other free edX AI courses mentioned above, it’s free to audit, but graded assignments and certificates of completion cost extra.
33 intermediate lessons to introduce you to AI.
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Lecturers will be from renowned industry experts.
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Covers machine learning, probabilistic reasoning, robotics, and natural language processing.
Renowned computer scientist Peter Norvig is one of the instructors in this basic AI course offered by Stanford University through Udacity. No prior AI experience is required; this is an intermediate level course.
There are over 30 lessons covering topics such as game theory, computer vision, and robotics, with short videos for each topic to help you complete the AI class in one sitting.
Apply rapid engineering and patterns to build powerful LLM-based applications.
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This course is the first part of Vanderbilt University’s Prompted Engineering Specialization.
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Dive deep into prompt engineering using techniques such as Fewshot Prompts, ReAct Prompts, and more.
Enhance your engineering skills at speed with this 16-hour self-paced AI class. This example shows how to work with LLMs such as ChatGPT to create effective prompts for personal and professional use.
The six modules in this course are comprehensive and include practical assignments. Like all Coursera courses, it’s free to take, but you must pay for additional benefits like a shareable certificate of completion, graded assignments, and feedback.
An overview of generative AI concepts.
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The courses are short and perfect for microlearners.
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See how Google implements AI in its products.
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Earn badges by completing modules.
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As an introductory course, we do not provide practical exercises.
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Due to the focus on Google, other AI developments are not covered.
The search engine giant’s free AI courses are a great choice. This introductory microlearning course doesn’t require any technical background and will help you learn about generative AI.
This learning path begins with an introduction to Google’s seven AI principles and ends with implementing responsible AI in Google Cloud products.
Learn about content creation, leading models, trends, and tools like Copilot.
This 6-hour primer from Microsoft on LinkedIn provides a broad overview of the AI landscape and core concepts of generative AI.
The LinkedIn Learning Path combines six different courses that end with a quiz. You do not need a LinkedIn account or a LinkedIn Learning subscription to take this course.
Learn safety measures and core advanced prompt engineering techniques.
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A variety of free courses offered by Amazon Educate and AWS Skill Builder.
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Upgrading your skills will help you take advantage of the AWS Educate Job Board or the AWS Emerging Talent Community.
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Courses are constantly updated.
Amazon offers eight free AI courses aimed at a wide range of users, from non-technical backgrounds to executive decision makers. Explore courses like Introduction to Generative Artificial Intelligence on AWS Educate and Prompted Engineering Fundamentals on AWS Skill Builder.
These courses are part of Amazon’s “AI Ready” initiative, which aims to provide free AI skills training to 2 million people around the world. Most courses utilize the AWS cloud, the AWS console, and Amazon tools such as Amazon CodeWhisperer.
Learn prompt engineering, build custom LLM apps, and practice OpenAI APIs.
Isa Fulford teaches this AI tutorial from OpenAI along with Andrew Ng from DeepLearning.AI, so you can expect quality instruction. They cover two important principles for creating effective prompts and how to design and use solid prompts to build custom chatbots.
This is an important step in your AI learning journey. Leveraging large language models (LLM) with designed prompts is fundamental to building applications.
Learn about ML fundamentals, key algorithms, cross-validation, regularization, and recommendations.
To dig deeper into technical AI, it’s important to understand machine learning. In this Harvard University course on the edX Platform, you’ll learn how to build a movie recommendation system by covering common machine learning algorithms.
This self-paced course takes 8 weeks to complete. Like most edX courses, you can take it for free, but you won’t have access to course materials, assignments, or certificates without payment.
Learn AI principles, ML, graph search, reinforcement learning, and Python AI design.
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Get a solid understanding of machine learning in Python.
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Real projects and clear examples demonstrate the practical aspects of the theory.
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Covers key concepts of classic AI along with machine learning and NLP.
This Harvard University course is another foundational exploration that covers technologies such as gameplay engines, handwriting recognition, and machine translation. Teach theoretical frameworks through hands-on projects that enable students to design intelligent systems.
This self-paced course may take 5 months to complete. It’s part of Harvard University’s Artificial Intelligence Computer Science Professional Certification Program, but like most other edX courses, it can be audited for free.
Learn how AI, ML, and big data are driving business, ethics, governance, and marketing.
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We have combined four unique courses into one.
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Learn more about data analysis for decision making.
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Taught by experienced Professor Wharton.
In this business-focused curriculum, you’ll learn how to integrate AI, machine learning, and big data into your organization. The one-month course is perfect for decision makers who need to understand the ethical use of AI across industries.
This AI specialization from the University of Pennsylvania consists of four courses that cover the basics of AI for strategy and governance, human resources, marketing/finance, and non-data scientist. Courses can be taken in any order.
A non-technical guide to AI, its uses, limitations, and impact on society.
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Taught by one of the pioneers of machine learning.
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We will explain the use of AI with examples.
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Some topics are designed for non-technical managers.
Dr. Andrew Ng is a well-known figure in the world of AI. His engaging teaching style makes complex concepts easy to understand and enjoyable.
This 4-week course is well-structured and covers important topics related to AI, machine learning, and their impact on various industries. Managers can benefit from topics on building AI projects, working with the right team, and role examples.
Master AI project design and modeling through real-world environmental case studies.
AI for Good Specialization equips you with the knowledge and skills to use AI to make a positive impact. If you have a passion for improving air quality, wind energy, biodiversity monitoring or disaster management, this is a great starting point.
The case studies demonstrate how AI can be used to address some of the major social and environmental challenges we face today.
Learn how to implement responsible AI in your organization using Google Cloud best practices.
Although this short course focuses on Google, the ethical AI principles covered in this course are still broadly applicable.
This course consists of separate modules, each covering best practices followed by Google Cloud. These frameworks can help you develop an ethical AI strategy.
If you’re particularly interested in Google Cloud, consider checking out the next Google Cloud conference.
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