Recorded Workshop • AI Education • Google NotebookLM
Watch the recorded workshop with Joshua T. Berglan and Ngum Dieudonne and learn how to turn your own sources into slides, reports, podcasts, videos, mind maps, Q&A, data tables, and practical AI workflows.
This workshop is a practical introduction to using AI as a tool for learning, creating, organizing, researching, studying, and working smarter. The central focus is Google NotebookLM, a source-based AI workspace that can help users transform their own documents, notes, links, videos, and research materials into useful outputs.
AI for All was created for people who know AI matters but need a simple, practical, human-centered way to begin. Instead of treating artificial intelligence as something distant, complicated, or reserved for experts, this workshop makes AI useful for everyday life, education, business, creativity, and professional growth.
Joshua T. Berglan opens the workshop by celebrating the global learning community represented on the call, including participants connected across Cameroon, Rwanda, Nigeria, the United Kingdom, Germany, Mexico, the United States, and beyond. He then introduces Ngum Dieudonne as a brilliant AI educator, ML engineering student, and builder of real-world AI learning systems.
Ngum leads the training by showing how Google NotebookLM can help users move from simply “testing” AI to actually using it as a serious productivity, learning, and creation tool.
Google NotebookLM is a source-based AI workspace. In the workshop, Ngum explains that a “source” can be a PDF, Google Doc, slide deck, website link, YouTube video, text note, academic material, business document, or any other learning or working material the user adds.
The important difference is that NotebookLM answers from the sources you provide. That makes it especially valuable for students, educators, researchers, business owners, creators, consultants, and professionals who need to organize knowledge, produce content, study material, or generate reports from trusted documents.
This recorded training walks through the practical side of NotebookLM and AI productivity. The goal is not just to talk about AI, but to help learners understand how to use it in real situations.
Use these timestamps to jump through the recorded session and find the topics most useful to you.
Students can upload notes, PDFs, textbooks, or study materials and ask NotebookLM to summarize concepts, create quizzes, explain formulas, generate study guides, and help them prepare for exams.
Educators can use NotebookLM to build slides, lesson notes, teaching materials, Q&A documents, and simplified explanations from trusted source material.
Professionals can use AI to generate reports, organize documents, create presentations, summarize meetings, prepare briefing documents, and make decision-making faster without losing the need for human review.
Creators can turn source material into content assets, podcasts, videos, blog ideas, social posts, and educational media. Entrepreneurs can use AI to clarify offers, organize business ideas, map problems, and build content faster.
The workshop also explores how AI can support accounting reports, data analysis, technical study, oil and gas formulas, industry trends, and professional research.
The workshop makes it clear that AI should be used responsibly. Users should avoid uploading sensitive, confidential, restricted, legal, private, or proprietary information unless they own the material, have permission to use it, and understand the platform’s data policies.
AI can accelerate work, but it should not remove human judgment. For emails, reports, publishing, financial decisions, legal material, business documents, or academic work, human review matters.
This recorded workshop teaches practical AI skills with a focus on Google NotebookLM. It shows how to use your own sources to create slides, reports, podcasts, videos, mind maps, Q&A, data tables, and study materials.
The workshop is hosted by Joshua T. Berglan and led by Ngum Dieudonne, an AI engineer, ML engineering student, AI educator, and founder of the NEST AI Learning Platform.
NotebookLM works from the sources you provide. This makes it useful for learning, research, studying, reporting, and creating content from trusted information instead of relying only on general chatbot responses.
Yes. The workshop explains that while a laptop can be helpful, users can also access AI tools through a phone, making the training useful even for people with limited equipment.
The workshop explains that AI can support income generation by helping people create content, reports, presentations, data tables, business materials, study assets, and productivity systems. The key is learning how to use AI tools practically and responsibly.
The AI for All Workshop begins with a warm welcome from Joshua T. Berglan as participants join from several countries and regions. Joshua introduces the session as a practical AI training experience and explains why he asked Ngum Dieudonne to lead. He highlights Ngum’s teaching ability, intelligence, and commitment to helping people understand AI in a way that can be applied immediately.
Ngum begins by sharing his background as an ML engineering student, educator, and builder. He explains that the world is moving rapidly toward AI and that learners should not simply watch from the sidelines. Instead, they should understand how to make AI part of their work, studies, creativity, and future opportunities.
The main demonstration focuses on Google NotebookLM. Ngum shows how users can create a new notebook, add sources, chat with those sources, and use the studio tools to generate outputs. He explains that sources can include PDFs, text, Google Docs, websites, YouTube links, and other learning materials.
One of the most important lessons is the difference between NotebookLM and a normal chatbot. A normal chatbot may generate broad answers from general information, while NotebookLM works from the specific source material added by the user. This makes it useful for students, researchers, educators, professionals, and anyone who needs more grounded answers.
The workshop then demonstrates slide generation, report creation, podcast generation, video examples, data tables, mind maps, and professional use cases. Ngum shows that AI can quickly produce structured material that would normally take hours or days to prepare manually.
During the Q&A, participants ask about limitations, daily generation limits, privacy concerns, logo design, AI videos, podcast quality, professional use cases, studying, using AI without a laptop, music, accounting, oil and gas studies, and making AI profitable.
The workshop closes with encouragement for participants to keep learning, keep asking questions, and continue applying AI based on their profession, passion, and goals.
This recorded workshop is part of a larger mission to make practical media, AI, and digital education accessible to people who are ready to build, create, and own their voice.
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The Mission Is Mine to Carry · Sell the Scar, Not the Wound · Commitment Is the Gate
Below is the living archive of field notes, frameworks, and reflections from the work of building sovereign media infrastructure through Media Company in a Box, The Sovereign Protocol, and The Sovereign Franchise.
