I have a Master in Mechanical Engineering and had worked as a energy efficiency, green building and sustainability consultant for more than a decade.

Recently, I have been actively testing and implementing AI solutions within my field of expertise, especially for workflows that are relevant to Environmental, Social & Governance (ESG) applications. The tech stack that I am familiar and most actively involved is Google Workspace and other general Google apps, as  well as Google Cloud Platform.

My aim is to share my knowledge and specific solutions that I have figured out so far. Another highlight, I am not a coder - thus the emphasis is also on solutions that can be configured, built, and implemented using "no-code" and "low code" methods. However, some of the AI solutions that I am using involves many lines of code, which are mainly developed using Google Gemini AI models.

So, my courses will align well with people who are within the enterprise or small business ecosystem, who are exploring effective AI infused solutions, but lack professional IT expertise. Thus, some of my courses will also include the solution "discovery" process, which are mainly done by "discussing" with Google Gemini AI model.

In this aspect, Google probably has the highest performing, most flexible, highly scalable and easily adoptable solutions out there.