Vibe Youtubing with NotebookLM: The MLOps Coding Course Gets a Video Upgrade in Under 48 Hours

# Generative AI

# Machine Learning

# MLOps

# Artificial Intelligence

# Data Science

How NotebookLM helped turn months of content into polished video lessons in just two days

September 23, 2025

Médéric Hurier

I’m incredibly excited to announce the launch of the first video series for my MLOps Coding Course, covering the introduction and the entire first chapter on AI/ML Project Initialization! But this announcement is about more than just new content. It’s the story of how a powerful AI tool transformed my workflow, turning a mountain of a task into a manageable and even enjoyable creative process.

In this article, I want to share my journey of using NotebookLM’s new Video Overview feature. I’ll take you behind the scenes of how I turned a comprehensive, text-based course into engaging video content at a speed I never thought possible, and how it has fundamentally changed my perspective on content creation you are not specialized in.

The Challenge: A Mountain of Content to Visualize

I poured my heart and soul into creating the MLOps Coding Course, spending over six months meticulously crafting the content in Markdown and Python. My goal has always been to make MLOps accessible and practical to everybody on the Internet, but I knew that video would take the learning experience to the next level. The problem? The thought of scripting, recording, and editing videos for every single section was daunting. I estimated it would take me at least a month of dedicated work to produce the first batch alone.

_{Using NotebookLM is like casting a crew of robots to record a video}

The Game-Changer: NotebookLM’s Video Overview

This is where Google’s NotebookLM came in and completely changed the game for me. Since my entire course was already in Markdown, the process was incredibly straightforward. I imported my content, and from there, I could generate a video for each section individually. The results were astounding!

_{Capture of NotebookLM for the MLOps Coding Course}

The process was unbelievably fast, clocking in at about 5–10 minutes per video. But it wasn’t just about speed. I was blown away by the quality. NotebookLM didn’t just read my text; it understood the context. It automatically generated insightful charts and tables from my data, and even grasped nuanced MLOps challenges I had written about, like the classic “but it runs on my machine” problem. It felt less like a text-to-video converter and more like a true creative partner.

The “One-Man Army” Experience: Human Curation, AI Generation

This new workflow transformed my role from a content creator buried in the mechanics of production to an editorialist. My focus shifted to curating and refining the AI-generated content, ensuring it perfectly matched the tone, intent, and high standards of the course.

_{Content of the MLOps Coding Course as a MindMap Generated by NotebookLM}

It was a profound experience. NotebookLM respected the six months of effort I put into writing the material, using it as a solid foundation to build upon. I was able to produce the entire first set of videos in just two days. This wasn’t just a productivity boost; it made me feel like a one-man army, capable of executing a project that would have otherwise required a small team or a significant budget.

The Future is a Hybrid of Human and Machine

This experience has solidified my belief that we are in a new era of content creation. Tools like NotebookLM don’t replace human expertise; they amplify it. They empower us to focus on our unique strengths — our knowledge, our creative vision, our deep understanding of the subject — while automating the tedious and time-consuming tasks.

_Source:_{https://blog.google/technology/google-labs/notebook-lm-audio-video-overviews-more-languages-longer-content/}

I see immense potential for this technology in both professional and personal projects. It’s a true productivity superpower. I highly encourage you to try it out, especially now that NotebookLM’s video and audio overviews are available in over 80 languages, opening up these capabilities to a global audience.

What’s Next?

This is just the beginning! I’ll be releasing more video overviews for the MLOps Coding Course in the coming months. Stay tuned for updates. In the meantime, I’d love to hear from you. Have you tried NotebookLM’s video overview feature? What are your experiences with AI-assisted content creation? Let’s discuss in the comments below!

MLOps Coding Course: https://mlops-coding-course.fmind.dev/

GitHub (CC-BY-4.0 license): https://github.com/MLOps-Courses/mlops-coding-course

Playlist for the 1st Chapter on Initialization: https://www.youtube.com/playlist?list=PLPCnNL6Y2PbTxRS24rkQ7mATQXjbR0PU7

Originally posted @ https://fmind.medium.com/vibe-youtubing-with-notebooklm-the-mlops-coding-course-gets-a-video-upgrade-in-under-48-hours-d34efd306207

Vibe Youtubing with NotebookLM: The MLOps Coding Course Gets a Video Upgrade in Under 48 Hours

How NotebookLM helped turn months of content into polished video lessons in just two days

Popular

Related