In a recent LinkedIn post, Andrew Bolis discusses 11 free courses he says can help learners develop ChatGPT and prompt-engineering skills, from introductory techniques to data analysis and Deep Research. His post presents the courses as a progression from basics to more specialized applications.
“OpenAI released 11 free prompt courses.”
A learning path from prompts to practical projects
Bolis’s list begins with “Introduction to Prompt Engineering,” described as a course on writing clear, effective prompts, and “Advanced Prompt Engineering,” which he says covers structures for greater precision and control. He also includes “ChatGPT 101: A Guide to Your AI Superassistant,” focused, according to his summary, on everyday uses.
The selection extends beyond prompt writing. Bolis points readers to “ChatGPT Projects” for hands-on practice and “ChatGPT & Reasoning” for logical tasks and explanations. As Andrew Bolis notes in the post, the courses span several levels and use cases, though the post itself does not provide details on course length, prerequisites or how each course assesses learning.
“Use these courses to master ChatGPT prompts.”
Broader topics in the course list
Several entries address capabilities and tools around ChatGPT. Bolis lists “Multimodality Explained,” covering text and visual inputs; “ChatGPT Search,” framed as a guide to search and research workflows; and “OpenAI, LLMs & ChatGPT,” which he describes as an introduction to how models and large language models work.
Building and applying AI tools
The final courses in Bolis’s roundup turn toward creation and analysis. “Introduction to GPTs” is presented as a resource for building and customizing GPTs, while “ChatGPT for Data Analysis” concerns working with data, charts and spreadsheets. The list closes with “Deep Research,” which Bolis says is intended for producing detailed, sourced insights and summaries.
According to Andrew Bolis, the collection is meant to help people move from learning prompts to getting practical results. Readers interested in the individual courses can use the links included in his original LinkedIn post; the post does not independently establish course availability or verify the scope of each offering.
“Learn it today. Lead tomorrow.”
A call to build familiarity
Bolis frames the roundup as a reason to invest in AI skills, adding the claim that ChatGPT has “1 billion monthly active users” and that “Less than 1% know how to get real results.” Those figures appear in his post without supporting sources or a definition of what counts as getting “real results.” His closing message is therefore best read as a motivational appeal accompanying the course list, rather than as evidence about users’ proficiency.
Overall, Bolis’s post gives readers a concise catalog of learning topics, spanning prompt design, model concepts, search, custom GPTs and data work. Its central argument is that structured learning can help users make more effective use of ChatGPT.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on November 7, 2026 | View original post on LinkedIn →