Google NotebookLM Complete Course: Visual AI Mastery
Medhat Gadallah
- Source-based summaries
- Visual knowledge assets
- Briefing and slide structures
- Output/citation checks
- Multi-source research
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Compare 1,200 AI training listings by curriculum, format and provider. Choose PM-specific training or broader workflows; every listing has its own course page.
Alphabetical order · 721–740 of 1200
Medhat Gadallah
Naresh Kandra
René Fürst
Import documents into NotebookLM and extract source-based summaries, FAQs and briefings.
Asim Noaman Lodhi
Organize and query sources in NotebookLM, handle document context and create source-based outputs.
Tracey Barron
Upload/organize documents in NotebookLM, extract information, summarize and query relevant sections.
Seven-course broad PM certificate. Added AI outcomes include charter creation, risk identification, communication, meetings and sprint retrospectives with AI.
Larnova STEM
Syllabus includes task tracking, budgets, dashboards, business scenarios, and finance/reporting analysis with ChatGPT.
Sandeep Kumar
Learn conventional slide design and collaboration with a separate Gemini section for AI-supported presentation work.
Sandeep Kumar
Turn raw information into slide outlines, refine audience-specific text and build a quarterly business review with Gemini/Slides.
조코디 Jo Cody
Break down work into Gemini-supported tasks across Gmail, Docs, Sheets, Slides, Calendar and Drive.
Google Cloud
Knowledge Accelerators
Dr. Suat ATAN
Use NotebookLM to compare source documents, analyze reports/contracts and generate decision-oriented summaries.
LinkedIn Learning / Microsoft Press and Alan Murray
Set up ChatGPT-assisted Excel workflows for functions, data manipulation and analysis.
Microsoft Learn
Guided Copilot Studio agent creation with conversational topics, trigger phrases and responses.
Microsoft Learn
Guided document-extraction model plus a Power Automate approval-email process.
Microsoft Learn
Evaluate responsible-AI cases, design an AI system responsibly and examine organizational implementation, fairness and privacy.
James Gray
A seven-step lifecycle for selecting recurring work, decomposing it, designing and building AI workflows, testing, operating and improving them; includes reusable agent skills, deterministic/collaborative workflows, multi-agent systems and a Notion registry.
Haufe Akademie
Advanced prompting, project use cases, AI agents, skills and workflows; workbook and lifecycle applications.
Haus der Technik
PM use cases, tool/system limits and practical evaluation.