AI for Science Students (No Coding)
You do not need to code to put AI to work in a science degree. This workshop is for BSc and MSc students in physics, chemistry, biology, and beyond who want practical help with the work that eats their week: dense papers, lab reports, messy data, and seminar prep. You will summarise literature with NotebookLM, draft and structure lab reports honestly, turn confusing concepts into diagrams, organise readings in Google Sheets with AI help, and build a poster. Running through all of it is one serious skill: spotting when AI confidently states scientific claims that are simply wrong.
Who is this for: BSc and MSc students outside computer science who want AI for study, lab work, and seminars without writing a line of code
Where this course sits
For complete beginners. No AI experience needed, and no coding, ever. If you can use WhatsApp, you are ready.
Prerequisites: None, and truly no coding anywhere. Basic phone and browser use is enough.
Exactly what happens in these 5 days
No vague promises. Open each day and see what you will learn and the real thing you will make.
Day1
Papers you can finally read
Within 30 minutes, AI is summarising a real paper from your own field.
- Setting up ChatGPT, Gemini, and NotebookLM free accounts
- Uploading a paper to NotebookLM and interrogating it section by section
- Abstract, methods, results: what to read yourself and what to delegate
- First hallucination check: asking about a paper that does not exist
- What not to upload: unpublished lab data and anything your guide has not cleared
You make today: A one-page literature summary of two or three papers on a topic you choose, in your own words
Day2
Lab reports without the dread
Structure and draft reports faster while keeping the science and the data honest.
- The standard lab report skeleton, built once and reused
- Drafting aim, procedure, and discussion with AI as editor
- The hard rule: AI never touches your readings or invents observations
- Turning rough observations into clear scientific sentences
- Getting AI to question your sources of error like a strict examiner
You make today: A complete formatted lab report from one of your own recent experiments
Day3
Seeing the concept
Turn the topics that refuse to make sense into visuals that do.
- Explaining a concept back to AI until the gaps in your understanding show
- Generating diagrams and flowcharts with a text-to-diagram tool (currently Napkin, Canva as fallback)
- Building a revision one-pager in Canva
- Analogies on demand: asking AI for three different ways to see one idea
- Checking AI's explanation against your textbook, because it simplifies wrongly sometimes
You make today: A concept diagram plus revision one-pager for the topic that troubles you most
Day4
Your data, organised in Sheets
Tame experimental readings and references with Google Sheets and AI help, no code.
- Setting up a clean data table: rows, columns, units, no chaos
- Asking Gemini (the free chat) for Sheets formulas: averages, standard deviation, unit conversions, then pasting them in
- Making a proper chart and labelling axes like a scientist
- A reading tracker for papers: what you read, what it claimed, where to find it
- Why you always sanity-check calculated values by hand once
You make today: A working Sheets file with your experimental data, calculations, one chart, and a paper tracker
Day5
Posters, seminars, and the nonsense detector
Prepare to present, and graduate as the person who catches AI's scientific mistakes.
- Turning your literature summary into a poster layout in Canva
- A seminar talk outline in Gamma with speaker notes
- Practising the two-minute explanation with AI as audience
- Live hallucination hunt: real AI answers with planted scientific errors
- Building your personal verification checklist for AI-assisted science
You make today: A printable seminar poster plus your own laminated-worthy AI verification checklist
Walk out able to do this
- Summarise research papers with NotebookLM and question them until you actually understand
- Draft a properly structured lab report with AI as editor, keeping your data and observations honest
- Turn a difficult concept into a clear diagram or one-pager for revision or teaching
- Organise experimental readings and references in Google Sheets with AI-assisted formulas and charts
- Walk out with a finished, formatted lab report from your own experiment and a literature summary ready to show your guide
- Test AI's scientific claims and catch hallucinated facts, references, and mechanisms
Made for people like
Tools you will use
To bring: None, and truly no coding anywhere. Basic phone and browser use is enough.
You leave with real things
A literature summary, a finished lab report, a concept one-pager, a working data spreadsheet, a seminar poster, and a personal AI verification checklist, plus the downloadable workbook with every prompt.
Your study material pack
- The full course workbook, chapter by chapter
- Every prompt used in class, ready to copy
- Checklists and templates from the exercises
You get a batch access code during the workshop. Enter it any time on the study material page to download everything.
Questions people actually ask
I have never coded and do not want to. Is this really for me?
Yes. There is no coding anywhere in the five days, not even a formula you have to memorise. Everything runs through chat, clicks, and plain English or Hindi.
Can AI analyse my actual lab data?
It can help you organise, calculate, and chart it in Sheets, and we do exactly that on day four. But we teach you to sanity-check every calculated value, and to never let AI invent or adjust readings. Your data stays yours and stays honest.
Is it safe to trust AI summaries of research papers?
Mostly useful, sometimes wrong, which is why verification runs through the whole course. NotebookLM sticks to the document you give it, which helps, but you will still learn to check claims against the actual paper before citing anything.
Do I need a laptop?
A laptop makes Sheets and poster work much easier, so bring one if you can. If you only have a phone, tell us when you enquire and we will pair you up or arrange a machine for the sessions.
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Get the start date for your batch
Tell us you are interested and we will call you with the next batch start date for your city or online, plus honest advice on whether this course fits you.