In a recent LinkedIn post, Andrew Bolis discusses a set of 10 AI courses he says Google has made available for free, covering subjects from generative AI basics to image captioning. This article reports on Bolis’s post and the learning options it describes; it is not written by Bolis.
“No sign-up fees or prior skills required.”
Bolis presents the courses as a low-barrier introduction to artificial intelligence, with several short offerings aimed at beginners. According to Bolis, the introductory courses on generative AI and large language models each take about 45 minutes. He says they cover how the technologies work, where they can be useful and how learners might build applications with Google tools.
A broad path from basics to practice
The list moves from foundational concepts toward applied work. Bolis includes courses on prompt design in Vertex AI and Google’s Generative AI Studio, describing hands-on exercises and demonstrations for building AI applications. He also highlights image generation and image captioning, which connect computer vision with language tasks.
“Master the art of talking to AI to get exactly what you want.”
That description of prompt design captures the practical emphasis in Bolis’s roundup: learners are invited to experiment with instructions, generated text and images, and application-building tools. His post also includes more technical topics, including encoder-decoder architecture, attention mechanisms, transformer models and BERT. The range suggests different entry points for people who want either a general orientation or a closer look at the mechanics behind language systems.
Responsible AI alongside technical skills
Bolis includes a course on responsible AI among the 10 selections, noting that it introduces Google’s principles for ethical AI development. Its presence places fairness and responsible design alongside the technical subjects rather than treating them as an unrelated concern.
“Understand the 7 principles that guide ethical AI development.”
As Bolis notes, the course is presented as suitable for people interested in AI ethics. His post does not elaborate on the course content or assess how the principles are applied in practice, but it signals that ethical questions form part of the learning collection he is recommending.
Skills and credentials as a career pitch
Bolis closes with a career-oriented appeal, encouraging readers to upskill and pursue opportunities. He mentions a digital badge for completing the transformer and BERT course, while the post’s other descriptions emphasize short lessons, practical exercises and introductory concepts.
The list is therefore framed as a menu rather than a single curriculum: readers can begin with a short introduction, explore responsible AI, or choose a more focused technical topic. Bolis’s post offers links to each course, but prospective learners will need to review the course pages for current details, prerequisites and any credential requirements.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on November 6, 2026 | View original post on LinkedIn →