In a recent LinkedIn post, Andrew Bolis highlighted a valuable, free resource for professionals looking to upskill in Generative AI: an 18-part course released by Microsoft. Bolis emphasized the course’s practical approach, designed to quickly enhance skills from foundational concepts to more advanced applications.
Bolis shared his enthusiasm for the course, noting its comprehensive nature. He stated:
“Microsoft just released a free 18-part Generative AI course, and it’s packed with value (link below). ⬇️ Short lessons to quickly upgrade your skills. From fundamentals to advanced topics. All from Microsoft.”
Key Learning Objectives Detailed
Andrew Bolis broke down the core components of the Microsoft course, explaining what participants can expect to learn and why these skills are crucial in the current technological landscape. According to Bolis, the curriculum is structured to cover essential aspects of Generative AI development and application.
Understanding and Comparing LLMs
One of the primary takeaways Bolis pointed out is the course’s focus on understanding Large Language Models (LLMs). Participants will learn how to compare different LLMs and select the most appropriate model for specific objectives. This foundational knowledge is critical for anyone looking to leverage AI effectively.
Mastering Prompt Engineering
Bolis also highlighted the emphasis on prompt engineering, a key skill for interacting with AI models. The course, as described by Bolis, covers prompt engineering from basic principles to sophisticated techniques, enabling users to elicit desired outputs from AI systems.
Building Real-World AI Applications
A significant portion of the course, according to Bolis’s post, is dedicated to practical application. He noted that learners will be guided through the process of building actual AI applications, including chatbots, text manipulation tools, and image generators. This hands-on approach is designed to solidify learning and build confidence.
“Build real AI apps, including chatbots, text tools, and image generators.”
Advanced Concepts for Production
Beyond the basics, Bolis underscored that the course delves into more advanced topics necessary for deploying AI in real-world scenarios. He mentioned that topics such as Retrieval-Augmented Generation (RAG), vector databases, agents, and fine-tuning are covered, providing a pathway to production-ready AI solutions.
“Explore RAG, vector databases, agents, and fine-tuning for production use.”
Why Bolis Recommends the Course
Andrew Bolis emphasized the practical benefits and structure of the Microsoft course, likening it to an intensive developer bootcamp. He praised its format of short, practical video lessons designed for immediate application of learned skills.
Bolis further elaborated on the course’s value proposition, stating:
“Focused on real-world GenAI skills you can apply immediately. Created by experts for AI builders, developers & PMs who want results.”
He encouraged his network to explore the full course, providing a direct link, and also shared a link to a related resource on learning free AI tools. Bolis’s post serves as a valuable curation, directing professionals towards a high-quality, accessible learning opportunity in the rapidly evolving field of Generative AI.
📝 About This Content
This article is based on insights shared by Andrew Bolis on LinkedIn.
📅 Originally posted on December 27, 2025 | View original post on LinkedIn →