All capabilities · Product, business & communication

Design and deliver AI training sessions

Turn a GenAI or ML topic into a session plan — slides, a hands-on lab and an assessment — and deliver it to a classroom or corporate cohort, tracking completion in an LMS.

~20 focused hoursbeginner
Explore 6 tools for this project
Market relevance

Which roles ask for this — and how often

Share of job postings in India, per role, that name this capability.

What employers mean

You should be able to…

  1. Turn a topic like 'Intro to Generative AI' into 3–5 measurable learning outcomes and a minute-by-minute session plan that fits the slot you are given
  2. Build a slide deck that teaches one idea per slide, with a live demo or formative check every 20–25 minutes instead of a 90-minute lecture
  3. Write a hands-on lab as a notebook (Colab or Jupyter) with starter cells, expected output and a solution version, that runs on a free API tier so every learner can complete it
  4. Live-code in front of a cohort: narrate what you type, make the errors learners will make, and recover from them out loud
  5. Design a knowledge assessment — MCQs plus scenario questions — with an answer key and a rubric, and load it into the LMS so it auto-grades
  6. Spot and correct misconceptions in the room ('the model looks it up', 'temperature 0 means always correct') using quick polls and minute papers
  7. Run the same session as VILT: manage chat, breakout labs and screen-sharing without losing the slower half of the cohort
  8. Track attendance, lab completion and assessment scores per learner in the LMS and report cohort readiness to the programme manager
  9. Collect end-of-session feedback and change the next delivery — cut, reorder or re-explain — based on what the scores and comments say

Needs first: Explain how LLMs work and where they fail

Learn — free, link-checked

The few resources that matter

Read · beginner · 20 min · support.google.com

Create a quiz assignment (Google Classroom Help)

The fastest free LMS path to an auto-graded assessment: build the quiz as a Google Form, attach it to a Classroom assignment, import grades — the completion-and-score tracking that corporate L&D asks for, with no Moodle server to run. — Google Classroom Help
Read · beginner · 45 min · ai.google.dev

Gemini API quickstart

Get a key from AI Studio and make your first call in Python — the whole lab your learners will run; the free tier needs no card, so a classroom of 40 can follow along on Colab without anyone paying. — Google AI for Developers
Course · beginner · 60 min · cloudskillsboost.google

Introduction to Generative AI

Vendor-neutral, structured primer on what GenAI is and how it differs from traditional ML — good for a first pass. — Google Cloud Skills Boost
Course · beginner · 150 min · carpentries.github.io

The Carpentries Instructor Training

The open curriculum behind thousands of technical workshops: mental models, formative assessment to catch misconceptions, expert blind spots, live coding and motivation — read the core episodes and you have the pedagogy that Indian L&D and skilling ads call 'adult learning principles' and 'technical facilitation'. — The Carpentries
Read · intermediate · 180 min · teachtogether.tech

Teaching Tech Together

The free book the Carpentries curriculum grew from: a lesson design process, exercise types beyond MCQs, teaching as performance, and a chapter on teaching online — the deep dive for turning a one-off workshop into a programme you can run cohort after cohort. — Greg Wilson
Tools for practice

Choose a tool for the job

Start with one tool for each part of your project. You don’t need to learn them all.

Go to the practice brief

6 tools to explore

Google Colab

Code · Data

Share a runnable notebook for an experiment, tutorial or classroom exercise.

Google AI Studio

Build

Test prompts and model inputs before turning a feasibility experiment into code.

Google Slides

Plan & explain

Explain a decision or demonstrate a project with a clear sequence of slides.

Google Forms

Plan & explain · Test

Collect structured feedback or build a short assessment for a workshop.

Moodle

Plan & explain

Organise learning activities, assessments and feedback for a training session.

OBS Studio

Video

Record a screen demonstration or lesson with clear audio and a deliberate scene layout.

Practice

Three-hour 'Intro to Generative AI' workshop kit with a runnable lab, assessment and recorded teach-back

Design a complete 3-hour beginner workshop on Generative AI for a mixed cohort of students and working professionals, then prove you can deliver it. Write 3–5 learning outcomes and a minute-by-minute plan with a formative check every 20–25 minutes, a 25–30 slide deck outline, and a Colab lab on the Gemini API free tier where learners send their first prompt, play with temperature and system instructions, and catch a hallucination themselves. Add a 10-question assessment with an answer key and load it as an auto-graded quiz in Google Classroom, write a facilitator guide with timings and fallback plans, and record a 10-minute teach-back of the hardest segment.

Start from

Gemini API key from Google AI Studio (free tier, no card) plus 20–30 short texts you pick yourself — Indian news headlines, product reviews or FAQ answers — as the lab's working data

Milestones
  1. Write the learning outcomes, the 3-hour plan in 15-minute blocks with a formative check every 20–25 minutes, and the 25–30 slide deck outline with one idea per slide · ~3h
  2. Build the Colab lab on the Gemini free tier: first API call, temperature and system-instruction experiments, a 'catch the hallucination' exercise on your 20–30 texts, starter and solution versions · ~5h
  3. Write the 10-question assessment (7 MCQs, 3 scenario questions) with answer key and rubric, load it as a Google Classroom quiz assignment and test the auto-grading with a dummy learner account · ~3h
  4. Write the facilitator guide: minute-by-minute timings, talking points, the misconceptions to expect and how to answer them, and a fallback plan for no wifi or exhausted API quota · ~2.5h
  5. Record a 10-minute teach-back of the live-coding segment with OBS or your phone, watch it back, and log three concrete fixes to the plan · ~2.5h
Done when
  • The session plan lists 3–5 learning outcomes, every 15-minute block, and at least six formative checks (polls, minute papers, predict-the-output) mapped to those outcomes
  • The Colab lab runs end to end on a fresh free-tier Gemini key in under 25 minutes, with a starter notebook and a solution notebook, and the hallucination exercise has an expected answer
  • The 10-question assessment exists as an auto-graded Google Classroom quiz, and a dummy learner's submission shows a score and per-question feedback
  • A 10-minute teach-back recording exists together with a facilitator guide whose timings match the recording within two minutes, plus the three fixes you made after watching it
Prove it

Evidence a recruiter can check

  • The 10-minute teach-back recording of the live-coding segment, with the three fixes you logged after watching it back
  • The starter and solution Colab notebooks, with a screenshot of a fresh free-tier run and the hallucination exercise's expected output
  • The facilitator guide with minute-by-minute timings, the six formative checks, and the misconception-and-response table
  • A Google Classroom screenshot of the auto-graded quiz showing a dummy learner's score and per-question feedback, next to the answer key and rubric
Signal it

Designed and delivered a 3-hour Intro to Generative AI workshop — slide deck, runnable Colab lab on a free LLM API, auto-graded 10-question assessment in an LMS and a facilitator guide — with a recorded teach-back and formative checks every 20 minutes.

Interview

Questions you'll get asked

  1. You have three hours with 40 final-year engineering students who have never used an LLM API. Walk me through your session plan, minute by minute.
  2. Give me a five-minute explanation of how an LLM generates text, as you would to a non-technical corporate cohort. Now do it for developers.
  3. How do you design the hands-on lab so that a learner with no laptop set-up can still finish it? What happens when the API quota runs out mid-session?
  4. Show me an assessment you wrote. How do you decide between MCQs, scenario questions and a graded project, and how do you write a rubric?
  5. A learner insists ChatGPT 'searches the internet' for every answer. How do you correct that without losing the room?
  6. How do you run a lab in a virtual instructor-led session where you cannot see anyone's screen?
  7. How do you track whether a cohort actually learnt anything, beyond attendance? What do you report to the L&D head after the programme?
  8. Teach me something from your curriculum right now, in ten minutes, on this whiteboard.