Workshops · Webinars · Seminars
Hands on keyboards, or a room of five hundred.
Hands-on AI workshops, live webinars, campus seminars, and hackathon mentoring — from a 60-minute session to a two-day build.
- Workshops
- Webinars
- Seminars
- Hackathons
- Campus
What this is
Three different jobs, often confused. A workshop puts hands on keyboards and ends with something running. A webinar reaches people who cannot be in the room. A seminar changes how a large audience thinks about the field in an hour. We run all three, and will tell you which one your objective actually needs.
Who it is for
- Colleges and university departments
- Student chapters, clubs, and technical fests
- Engineering teams and internal guilds
- Conferences, meetups, and developer communities
- Hackathon organisers
Formats
Pick the shape that fits.
Hands-on workshop
Full day or two days
Participants build and deploy something themselves. Supervised labs, checkpoints, and a demo at the end.
Half-day workshop
4 hours
One build, start to finish — usually a RAG assistant or a tool-using agent.
Live webinar
60–90 minutes
Online, interactive, recorded. Good for launches, community sessions, and internal brown bags.
Campus seminar or keynote
60–90 minutes
A large-hall session on where the field is going and what to learn now. Built for students, not for a boardroom.
Hackathon mentoring
1–3 days
Problem statements, mentoring rounds, judging criteria, and a technical judge who reads the code.
Topics
Choose one, or ask for another.
Build a RAG assistant over your own documents in one day
Ship your first agent: tools, loops, and termination
Build and connect an MCP server
Fine-tune a small model on a single GPU
Evaluate an LLM application before it reaches users
AI for research: literature review, reproducibility, and writing
Careers in AI engineering: what actually gets you hired
Open source as a portfolio strategy
Outcomes
What changes afterwards
- Everyone leaves with something running on their own machine
- A repository participants can keep extending after the session
- For seminars: a clear, current picture of the field and what to learn next
- For hackathons: submissions that are judged on working code, not slides
Deliverables
What you keep
- Setup instructions circulated before the session
- Workshop repository with checkpoints per stage
- Slides and a resource list
- Recording where the format allows
- Participation certificates for institutional events
FAQ
Workshops, Webinars and Seminars — questions
What is the difference between a workshop, a webinar, and a seminar?
A workshop is hands-on and outcome-based — participants build something under supervision, so numbers are capped. A webinar is a live online session, interactive but not hands-on, and scales to any audience. A seminar is an in-person talk to a large hall, aimed at changing how people think about a subject rather than teaching a specific skill.
How many participants can a hands-on workshop take?
Thirty to forty per facilitator. Beyond that, debugging queues form and half the room sits idle. Larger cohorts run with additional facilitators or as parallel batches across two days.
What do participants need to bring?
A laptop with Python 3.10 or later, a browser, and internet. We send a setup script and a pre-flight checklist three days ahead, and open a help channel so nobody spends the first hour installing things.
Do you run free webinars for student communities?
Sometimes. Student chapters and non-profit communities can apply through the enquiry form — mention the audience size and date. We keep a small number of these slots open each quarter.
Can you provide certificates for participants?
Yes. Participation certificates are issued for institutional workshops and seminars, and can be co-branded with your college or company.
Do you travel for on-campus sessions?
Yes, across India, and internationally where the event covers travel. Online delivery is available everywhere and, for hands-on workshops, works better than most people expect.
Can you help design the hackathon problem statements?
That is usually the most useful part. We write problem statements that cannot be solved by a single prompt, define judging criteria that reward working systems, and mentor teams during the build.
Also available
01
Faculty Development Program
Hands-on AI faculty development programs (FDP) for universities and colleges — generative AI, RAG, and agentic systems, taught lab-first, online or on campus.
02
Online Courses on AI
Instructor-led delivery, course design, course development, or a full turnkey package — for AI programs in full stack AI, generative AI, agentic AI, and forward deployed engineering.
03
AI Masterclasses
Focused AI masterclasses for engineering teams, conferences, and cohorts — RAG in production, context engineering, agentic design patterns, evaluation, and AI security.
Ready when
you are.
Send the audience, the headcount, and the window you are working with. You get scope and price in writing within two working days — no discovery call required first.
Enquire about workshops & webinars