AI Training Over Zoom: Fumbles & Lessons

Last Friday, I took on the nerve-wracking task of hosting an AI training session over Zoom for my colleagues.

If you've ever found yourself fumbling through screen sharing, toggling between tabs, and muttering “OMG” under your breath, you’ll relate to my experience.

Let me tell you—it wasn’t smooth sailing, but it was absolutely worth it.

The session revolved around exploring AI tools and frameworks to enhance our technical knowledge and daily workflows.

My focus? Practical applications.

We started with the Co-Star Framework for crafting precise AI prompts—think of it as setting the stage for a productive AI dialogue. From there, I introduced Perplexity, a tool for navigating complex information with ease, and Google Notebook LLM, a promising resource for managing large datasets and summaries.

Next, I showcased ChatGPT 4.0 Canvas, perfect for creating structured visual outputs, followed by Copilot, an AI assistant to accelerate coding and drafting processes. Wrapping up, I couldn’t leave out Claude, known for its ability to generate natural, human-like interactions.

Each tool served a purpose: researching technical challenges, summarizing key insights, and seamlessly applying them to work.

Now, let’s talk about the elephant in the room—my nerves.

First the mic is not working. Fumbling between PC to notebook eventually.

Screen sharing turned into screen staring as I scrambled to find the right window (who else has 5 tabs open during Zoom?).

A few hiccups later, I found my rhythm. My colleagues were patient, thankfully, and by the end of 45 minutes, the awkward moments were forgotten.

Looking back, I realized the training was not about perfection but about sharing knowledge and empowering others.

AI tools can feel overwhelming at first, but with a clear framework and practical guidance, they can become a powerful extension of our skills.

Next may be I can teach my colleagues API and Phyton as I am currently learning.