Practical AI with Google Gemini and NotebookLM
DataCamp
Last updated June 30, 2026
A hands-on, no-coding course in getting real work done with Google's AI tools, Gemini and NotebookLM. With Gemini you practise writing effective prompts, iterating on drafts, running research across multiple sources, working by voice, and automating repetitive tasks, including generating images and video. You also see Gemini working inside Google Workspace — summarizing email, drafting in Docs, searching Drive in plain language, and analyzing spreadsheet data. The final stretch covers NotebookLM, Google's research assistant that grounds its answers in sources you provide, so you can build citation-backed notebooks and audio summaries. Worked exercises run through realistic scenarios throughout. You finish able to fold these tools into your daily workflow.
What you'll learn
- Writing effective prompts and iterating with Gemini
- Researching across multiple sources and working by voice
- Automating repetitive tasks, including image and video generation
- Using Gemini inside Google Workspace (email, Docs, Drive, Sheets)
- Building source-grounded, citation-backed research with NotebookLM
Frequently asked questions about Practical AI with Google Gemini and NotebookLM
Is Practical AI with Google Gemini and NotebookLM free?
No — Practical AI with Google Gemini and NotebookLM is a paid course.
What are the prerequisites for Practical AI with Google Gemini and NotebookLM?
None.
Does Practical AI with Google Gemini and NotebookLM offer a certificate?
Yes. DataCamp Statement of Accomplishment on completion (requires DataCamp Premium).
Why we suggest this course
A practical productivity course for anyone already in Google's ecosystem who wants to use its AI tools well rather than poke at them. It is genuinely task-focused — real Workspace scenarios, source-grounded research with NotebookLM — instead of a feature demo. Bear in mind that Google's AI tools change quickly, so specific features may have been renamed or added since the course was recorded, even though the working approach it teaches carries over. You can sample the opening chapter before subscribing; the full course and its Statement of Accomplishment are part of DataCamp Premium.