In a recent LinkedIn post, Andrew Bolis highlights the accessibility of Artificial Intelligence education, asserting that formal degrees are not a prerequisite for acquiring AI knowledge. Bolis provides a curated list of free online courses designed to equip individuals with essential AI skills.
Bridging the AI Skills Gap with Free Resources
Andrew Bolis emphasizes that the burgeoning field of AI is open to all, regardless of academic background. His post aims to empower individuals by offering direct pathways to learn about AI through readily available online courses. Bolis notes the importance of practical, accessible learning, stating:
“You don’t need a degree to learn AI.”
This statement sets the stage for his comprehensive list, which includes courses from major tech players like IBM and Meta, as well as foundational introductions to key AI concepts.
Key AI Learning Pathways Identified by Bolis
The curated list by Andrew Bolis spans various facets of AI, from product management and data analysis to the intricacies of Large Language Models (LLMs) and responsible AI development. Each course is presented with a brief description and a direct link, facilitating immediate access for interested learners.
Foundational AI Understanding
For those new to the field, Bolis recommends introductory courses such as ‘AI for Everyone,’ which demystifies AI’s core concepts and its business implications. He also points to ‘Building A Brain in 10 Minutes,’ offering a quick, hands-on introduction to neural networks.
Specialized AI Skills Development
Andrew Bolis also highlights resources for developing more specialized skills. His list includes:
- IBM’s AI Product Manager course, focused on end-to-end AI product lifecycle management.
- Meta’s Data Analyst course, which develops job-ready skills in data analysis and SQL.
- An ‘Intro to LLMS’ course, explaining the functionality and applications of Large Language Models.
- ‘Generative AI for Leaders,’ aimed at leveraging generative AI for enhanced decision-making and productivity.
Bolis further emphasizes practical application, pointing to courses designed to enhance data analytics and data science careers using generative AI tools. As Andrew Bolis advises:
“Use generative AI to boost efficiency in data science workflows.”
Promoting Ethical AI and Continuous Learning
Beyond technical skills, Andrew Bolis includes ‘Introduction to Responsible AI,’ underscoring the growing importance of ethical considerations in AI development and deployment. This inclusion suggests a holistic approach to AI education, balancing technical proficiency with ethical awareness.
The post concludes with a call to action, encouraging readers to save the post, share it, and begin a course. Bolis also provides a link to a larger compilation of free AI courses from top companies like Google, Amazon, and Microsoft.
“The best thing you can do today? Save this post. Share it with your network. Start one course.”
Andrew Bolis’s initiative on LinkedIn serves as a valuable resource for anyone looking to enter or advance within the AI domain without the need for traditional academic pathways. His curated list democratizes access to AI education, making cutting-edge knowledge attainable for a broader audience.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 20, 2025 | View original post on LinkedIn →