In a recent LinkedIn post, Andrew Bolis highlights a curated list of top free Artificial Intelligence courses designed to help professionals upgrade their skills. Bolis emphasizes the importance of continuous learning in AI, noting that mastering skills in areas like AI fundamentals, prompting, and automation is crucial for career advancement in the current technological landscape. He presents this resource as a valuable tool for individuals seeking to build expertise without financial barriers.
“Top 10 Free AI Courses to Upgrade Your Skills. Learn from Harvard, Microsoft, Google, and more. No payment required to build skills & advance career.”
Andrew Bolis’s compilation aims to provide accessible pathways to AI knowledge, drawing from reputable institutions and tech giants. The post is structured into distinct categories to facilitate learning, covering core AI concepts, prompt engineering, and the ethical considerations surrounding AI development and deployment.
Foundational AI Knowledge is Key
Bolis begins by spotlighting courses that cover the fundamental principles of AI. According to him, a strong foundation is essential before diving into more specialized areas. He includes offerings from institutions like Harvard, Microsoft, and Google, which provide comprehensive introductions to AI and machine learning.
Core Concepts and Introductory Paths
As Andrew Bolis notes, these introductory courses are designed to equip learners with the core logic and foundational understanding necessary to navigate the complexities of AI. He points out the value of programs such as Microsoft’s “AI For Beginners” as a simple yet effective starting point.
“Learn the core logic behind AI using Python.”
This emphasis on foundational learning is a recurring theme in Bolis’s advice, suggesting that a solid grasp of AI fundamentals, often built with programming languages like Python, is a prerequisite for more advanced applications.
Mastering Prompt Engineering for Applied AI
A significant portion of Bolis’s shared list is dedicated to prompt engineering, a critical skill for effectively interacting with and leveraging modern AI models, particularly generative AI. He highlights that prompt engineering is not just about asking questions but about designing specific inputs to achieve desired outputs from AI systems.
Techniques for ChatGPT and Beyond
Andrew Bolis argues that proficiency in prompt engineering is becoming indispensable for professionals across various roles. His selection includes courses from Vanderbilt, DeepLearning.AI in collaboration with OpenAI, and edX, all focusing on practical techniques for optimizing AI interactions.
“Learn prompt design techniques for ChatGPT optimization.”
Bolis further elaborates on the importance of these skills by including specific developer-focused courses, indicating his view that applied AI and prompt engineering are directly translatable into tangible project outcomes and career opportunities.
Addressing the Ethical Dimensions of AI
Beyond technical skills, Andrew Bolis underscores the importance of understanding the ethical implications of AI. He includes a course from UC Davis that addresses Big Data, AI, and Ethics, signaling his belief that responsible AI development and deployment are as critical as technical competence.
Responsible AI Use
According to Bolis, learning about the ethical side of AI and responsible data use is a vital component of becoming a well-rounded AI professional. This inclusion suggests a holistic approach to AI education, encompassing not just how to build and use AI, but how to do so ethically and responsibly.
Bolis concludes his post by encouraging readers to save the list for future reference and to consider following him for more insights. He also provides a link to learn 30 free AI tools in 30 days, further extending the resources available to his audience. The overall message from Andrew Bolis is clear: accessible AI education is readily available, and now is the time to leverage these free resources to future-proof one’s career.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on February 22, 2026 | View original post on LinkedIn →