- Type
- University workshop (first full 5-day format delivered)
- Duration
- 5 full days, roughly 5–6 hours of working time each day
- Audience
- 80+ students, plus 2 participating faculty members
Context & Audience
Indus University approached with a request for a full five-day workshop — the first time a session of this length and depth had been delivered. 80+ students took part, alongside two faculty members who participated as learners alongside their students. Every day carried a substantial 5–6 hour working block, making this the most immersive program on this journey.
What Was Delivered
Day 1 — Prompting, done properly. Students walked in confident they already knew what a prompt was and how to write one. The day was spent breaking that assumption down gently and rebuilding it — covering what a prompt actually is, how to write a genuinely effective one, and the different prompting techniques available. End-of-day feedback captured the shift directly: students said they weren't aware of this level of prompting before that day.
Days 2–4 — The AI agent tooling journey. From the prompting foundation, the workshop moved into the broader landscape of AI agent tools. The core focus was building the right mindset for picking the right tool for a given task — deep research, logical and reasoning-heavy thinking, coding, and other task types each called for a different tool, and students learned which tool fit which job and why. This stretch also covered the best practices of prompting and context engineering, built up from the ground level rather than assumed.
Day 5 — Hackathon. The workshop closed with a hackathon built around state-level challenge problem statements designed by the Gujarat state government. Students could pick whichever problem statement they connected with and build their own solution — turning four days of learning into one day of applied, independent execution.
Tools & Tech Used
- Prompt engineering fundamentals and advanced techniques
- Multiple AI agent tools, selected and compared by task type (deep research, reasoning, coding, and more)
- Context engineering practices
- State-level hackathon challenge problem statements (Gujarat state)
Outcomes & Feedback
Day-one feedback set the tone: students explicitly said they hadn't known this level of prompting existed until that day. By the close of the five days — capped by the hackathon — participants described feeling on a genuinely different level of mindset, with several saying they now felt ready to consider starting their own startups. Both students and faculty independently shared the same feedback, and the overall experience across the full five days was rated as excellent by everyone involved.
This was also delivered under the standing 80% hands-on, 20% theory approach — the same ratio held for all five days despite the depth of content covered.