A new report from IBM reveals that 87% of executives expect jobs to be augmented rather than replaced by generative AI.
As for the human element, the challenge today is that about half (47%) of executives say their people lack the knowledge and skills to effectively implement and scale AI across the enterprise.
The answer is that we need to invest in education and upskilling to fully reap the benefits of AI. People are crucial to this effort.
With that in mind, here are 8 FREE courses to master AI in 2025, providing you with comprehensive knowledge and skills in artificial intelligence.
1.) Google AI Courses
Google offers five different courses to help you learn generative AI from the ground up.
These courses guide you from an Introduction to AI to more advanced topics, ensuring you gain a solid understanding of AI concepts. The curriculum covers various aspects of AI, including machine learning, deep learning, and generative models, all tailored to help you build foundational and advanced AI skills.
The total estimated time varies depending on the course selection, but typically each course can be completed in 4-6 weeks.
🦾 Google AI Courses
2.) Microsoft AI Course
Microsoft’s AI course provides a thorough introduction to AI, starting with the basics and progressing to more complex topics such as neural networks and deep learning.
This course is designed to help learners develop a strong understanding of AI technologies and their applications, making it an excellent resource for beginners and intermediate learners alike.
The course is designed to be completed in 6 weeks, with a flexible learning schedule to accommodate different paces.
🦾 Microsoft AI Course
3.) Introduction to AI with Python (Harvard University)
Offered by Harvard University, this course explores the core concepts and algorithms of AI.
The curriculum covers the technologies behind AI, providing a deep dive into AI principles, machine learning libraries, and practical applications using Python. By the end of this course, you’ll have a robust understanding of AI and its real-world applications.
This course can be completed in 7 weeks as learners explore the core concepts and algorithms of AI.
4.) Prompt Engineering for ChatGPT (Vanderbilt University)
Vanderbilt University offers a 6-module course designed for beginners to learn effective prompt writing for AI models like ChatGPT.
This course starts with the basics of prompt engineering and culminates in advanced techniques to optimize and control AI outputs, equipping you with the skills to leverage ChatGPT effectively.
The course can typically be completed in 4-5 weeks, depending on the pace of the learner.
🦾 Prompt Engineering for ChatGPT
5.) ChatGPT Prompt Engineering for Devs (OpenAI)
This course, a collaboration between OpenAI and DeepLearning, is taught by Isa Fulford and Andrew Ng.
It offers practical lessons on prompt engineering, starting with best practices and culminating in hands-on exercises. You’ll learn how to craft prompts that yield the most effective responses from AI systems.
The course is designed to be completed in 2-3 weeks.
🦾 ChatGPT Prompt Engineering
6.) LLMOps (Google Cloud)
Google Cloud, in collaboration with DeepLearning, presents this cutting-edge course on LLMOps taught by Erwin Huizenga.
The course walks you through the entire LLMOps pipeline, from pre-processing training data to deploying a custom large language model (LLM). You’ll learn how to implement supervised tuning pipelines and optimize the deployment of AI models.
The course can be completed in 6 weeks, focusing on practical applications and deployment strategies.
🦾 LLMOps Course
7.) Big Data, Artificial Intelligence, and Ethics (University of California)
The University of California – Davis offers a 4-module course that delves into the intersection of big data, AI, and ethics.
The course starts with the opportunities presented by big data and AI, including an introduction to IBM’s Watson, and concludes with a critical examination of AI’s limitations and ethical considerations.
The course is designed to be completed in 5-6 weeks, providing a deep understanding of big data opportunities and AI’s ethical considerations.
🦾 Big Data & AI Ethics
8.) AI Applications and Prompt Engineering (edX)
This introductory course on prompt engineering by edX goes beyond the basics to explore the creation of AI applications.
Starting with foundational knowledge, you’ll progress to developing your own AI applications, learning how to effectively utilize prompt engineering techniques for various AI models.
It is typically completed in 6-8 weeks, allowing learners to develop foundational and advanced skills in AI applications.
🦾 AI Applications & Prompt Engineering
Bonus Tip: Take Coursera Courses for Free
To access Coursera courses without a trial, follow these steps:
- Go to the desired course and click “Enroll for free.”
- Select “Audit the course.” (Note: You will need to create an account, but you won’t have to pay anything.)
These courses provide a valuable opportunity to develop your AI skills for free, offering a range of topics from foundational knowledge to specialized techniques in AI and machine learning.
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