Practical AI training for college students and faculty
Live sessions for colleges and universities, built around your own syllabus. Faculty leave with question banks and lecture plans; students leave with study sets and project workflows.
Taught by Karan Kumar Former Google Student Ambassador for Gemini
Worked exampleModule 02 · Faculty
Prompt
Draft 5 MCQs on binary search trees for B.Tech CSE, Semester 3 (Data Structures). Map each to CO3: three at Bloom’s Apply level, two at Analyse. Include an answer key with a one-line rationale.
Draft output, all mapped to CO3
Question
Level
Key
Worst-case search time in a BST built by inserting 1, 2, … n in order
Apply
O(n)
Order of keys produced by an inorder traversal of a BST
Apply
Ascending
An insertion order of keys 1–7 that gives a BST of height 3
Analyse
4, 2, 6, 1, 3, 5, 7
2 more questions and a rationale for each answer.
Every answer is verified in the session before it goes into a question paper.
Two programs
Students and faculty need different things from AI, so each group gets its own examples, exercises and pace.
AI Webinar for College Students
Webinar
60–90 min, online
Use AI for coursework, projects and placements.
Turn lecture notes and PDFs into flashcards and practice tests before semester exams
Research papers faster and check every AI claim against the real source
Plan and debug minor and major projects with AI, and explain every line in your viva
Write lab reports, assignments and presentations within your college rules on AI
Prepare for placements and internships: resumes, mock interviews and aptitude practice
Four modules, covered at the depth that suits your group, with exercises built on examples from your field.
01
AI foundations & prompting
What large language models are, why they sound confident when they are wrong, and a simple, repeatable way to write prompts that get useful results.
LLMs in plain language
Hallucinations & limits
Role · Context · Task · Format
02
AI for teaching & learning
Faculty build lecture plans, question papers and rubrics from their own syllabus. Students turn lecture notes into practice tests and use AI as a tutor that asks questions back.
Lecture plans & question papers
CO-mapped MCQ banks
Notes → practice tests
AI as a Socratic tutor
03
Research, integrity & responsible AI
Literature reviews, paper summaries and fact-checking without handing your thinking over to a chatbot. Covers plagiarism, citing AI use, privacy, and a practical AI policy for your department.
Literature reviews
Plagiarism & citing AI
Student data & privacy
Department AI-use policy
04
Build your own AI assistant
No code needed. Set up an assistant grounded in your course material, lab manuals or department documents, and share it with a batch.
Every exercise works on the free plans. No coding needed.
What participants take home
A prompt playbook
Ready-to-use prompts for your subject and role, yours to keep after the session.
Work you made in the session
The lecture plans, question banks, study sets or assistants you built during the session, ready to use the next day.
Guidance on what to avoid
Where AI fails, what not to share with it, and how to stay within academic-integrity rules.
Follow-up Q&A
A way to ask questions after the session, once you have tried things with your own classes.
How booking works
Tell me about your group
Which department and year, how many people, how comfortable they are with tech, and what you want them to leave with.
I plan the agenda
You get a session outline planned around your field, with examples from your own syllabus.
We run it live
Online, on Google Meet, Zoom or your college’s own platform. Mostly hands-on, with demos, exercises and plenty of time for questions.
You keep the resources
Prompt playbooks, templates and follow-up support so what participants learned gets used.
Your instructor, Karan Kumar
I build AI products, including RAG tutors, AI code reviewers and Gemini-powered assistants, and I teach people how to use these tools well. As a Google Student Ambassador for Gemini I ran workshops that got students using AI for real work.
Organised workshops and events to promote awareness and adoption of Google Gemini and AI. Acted as a liaison between Google and students, fostering a developer community and sharing feedback.
Web Development Intern
2025
Code Caffeine, Jhunjhunu
Contributed to internal web tools using React.js and Node.js. Built reusable components and secure REST APIs.
Web Development Intern
2024
BILLFOREST Solutions, Patna
Designed social media graphics, banners, and presentation assets. Contributed to branding, layout planning, and UI mockups for internal projects.
An LLM-powered code reviewer that gives actionable feedback on GitHub repositories.
Certifications
AWS APAC Solutions Architecture, AWS
Deloitte Technology Job Simulation, Deloitte
Deloitte Australia Cybersecurity Simulation, Deloitte
HackerRank CSS Certification, HackerRank
Complete Web Development Bootcamp, Udemy / Hitesh Choudhary
Web Dev Cohort Live 1.0, ChaiCode
GenAI with JS, ChaiCode
Common questions
No. The sessions for faculty and non-CS students assume no coding knowledge at all. If you can use email and a browser, you can follow along. Engineering and CS groups get a more technical track.
All sessions are live and online, on Google Meet, Zoom or your college’s own platform. Participants can join from a lab, a seminar hall or their own laptops.
Mainly ChatGPT, Google Gemini, NotebookLM and Claude, with others added depending on the field. Everything taught works on the free tiers, and I point out when a paid plan is actually worth it.
Academic integrity is part of every session. Students learn to use AI to understand material, not to outsource it, and faculty learn to design assignments, vivas and policies that hold up when AI is available.
Yes, and it is recommended. Before the session I ask for your subjects and a few topics from the syllabus so every demo uses material your faculty actually teach or your students actually study.
It depends on the program, session length and group size. Send your details through the form below and I will reply with a quote and a draft agenda, usually within 24 hours.
Book a session for your college
Tell me which department and year the session is for, and I'll send back a draft agenda and a quote, usually within 24 hours.
