In a recent LinkedIn post, Andrew Bolis highlights a curated list of top free courses for individuals looking to build their artificial intelligence skills. Bolis emphasizes the importance of rapidly acquiring AI knowledge, stating that the recommended courses are designed to foster skills that “compound over time.” The post aims to provide accessible learning pathways for those interested in AI fundamentals, applications, and development.
Key Learning Opportunities Identified by Bolis
Andrew Bolis has compiled a list of nine free courses from prominent technology organizations and educational institutions. These resources cover a broad spectrum of AI topics, from the foundational concepts of generative AI to practical application in business and development.
“These free courses focus on AI fundamentals, applications, and development.”
According to Bolis, these courses are “proven courses from leading organizations,” suggesting a high level of quality and relevance for learners.
Generative AI and Foundational AI Skills
Several of the highlighted courses specifically address generative AI, a rapidly evolving area of artificial intelligence. Bolis points to offerings from Microsoft, Amazon, and Google that delve into the core concepts, ethical considerations, and business applications of generative AI.
Microsoft’s Contributions
Microsoft’s “Career Essentials in Generative AI” is featured, which Bolis notes covers “core concepts of generative artificial intelligence” and the role of tools like Copilot. Additionally, “AI For Beginners” from Microsoft aims to teach basic AI building blocks and logic.
Amazon and Google’s Offerings
Amazon’s “Generative AI Learning Plan for Decision Makers” is included for leadership roles, focusing on how AI applies to business decisions. Google offers “Introduction to Generative AI,” providing foundational knowledge on how generative AI works and different model types.
Broader AI and Machine Learning Education
Beyond generative AI, Bolis’s list includes courses that cover broader artificial intelligence and machine learning principles. Harvard University’s “Introduction to Artificial Intelligence with Python” is recommended for learning core AI ideas and building basic projects.
“Learn core artificial intelligence ideas and logic”
Coursera’s “AI For Everyone” is also on the list, offering a general overview of AI, machine learning, and their societal implications. The Linux Foundation’s “Data and AI Fundamentals” provides a look at key AI technologies and real-world use cases.
Practical Application and Prompt Engineering
Andrew Bolis also includes resources focused on practical application and specific skill development, such as prompt engineering. The “ChatGPT — Prompt Engineering for Developers” course is highlighted for learning effective prompt design techniques to “build better AI outputs with structured prompts.” Google Cloud’s “Machine Learning & AI Training” is also part of the curated list, focusing on ML system basics and the use of cloud tools.
Bolis encourages readers to “save this list for later and share it with others,” emphasizing the value of these free resources for personal and professional development in the field of AI.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on January 24, 2026 | View original post on LinkedIn →