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For colleges & universities

Graduates who can build with AI.

Hands-on programmes where students build real things: web apps from a prompt, voice agents that take calls, automations in n8n. And the habits that use AI to learn faster and get hired. Every student leaves with projects they can show.

Plan a programme See the topics

Hands-on builds For students and faculty On campus or online

  • Web app

    Hostel mess feedback app

    DeployedBuilt with Emergent

  • Voice agent

    Helpdesk that answers calls

    Taking callsBuilt with Vapi

  • Automation

    Placement alerts on WhatsApp

    Runs dailyBuilt with n8n

  • Career

    Portfolio site from a resume

    SharedBuilt with AI

Example projects. Students build their own.

01What we cover

Build with AI. Learn with AI. Get hired with AI.

Mix topics into a workshop, a bootcamp or a semester programme. Every one is hands-on, and every one ends with something built.

Build

Build web apps with AI

From one clear prompt to a working app with a database, login and payments, then saved to GitHub and deployed.

  • Emergent
  • Lovable
  • Antigravity
  • Claude Code

Build

Voice agents

Agents that answer phone calls, book appointments into Google Calendar and log every call to a sheet, with natural-sounding voices.

  • Vapi
  • ElevenLabs
  • Twilio

Build

Automation with n8n

Triggers, actions and AI steps: workflows that read email, update sheets, collect data from the web and call APIs, on their own.

  • n8n
  • Webhooks
  • APIs

Build

AI agents and MCP

How agents use tools, memory and guardrails, and how the Model Context Protocol lets them plug into real systems.

  • Agent builders
  • Guardrails
  • MCP

Learn

AI for learning

Study smarter, not just faster: ChatGPT study mode, NotebookLM notes, quizzes and audio overviews, and research tools that cite their sources.

  • Study mode
  • NotebookLM
  • Research

Get hired

Interview and job readiness

Resumes that get past applicant tracking systems, a portfolio site built from a resume, a LinkedIn profile that gets found, and AI mock interviews before the real one.

  • Resume
  • Portfolio
  • LinkedIn
  • Mock interviews

Learn

Responsible AI

Deepfakes, privacy, bias and academic honesty: what AI should not be used for, and why it matters from the first job.

  • Privacy
  • Bias
  • Integrity

Faculty

Faculty enablement

AI for teaching: lesson prep, quizzes, presentations and research, plus how to set fair rules for AI in assignments.

  • Lesson prep
  • Assessment
  • Research

02What students leave with

Projects they can show, not notes they forget.

  • Unlocked

    A deployed web app

    Built from a prompt, with a real database and a link they can share.

  • Unlocked

    A working voice agent

    It answers a call, understands the question and books the next step.

  • Unlocked

    An automation that runs itself

    An n8n workflow that does a real job, every day, with nobody pressing a button.

  • Unlocked

    A resume and portfolio that get read

    Ready for applicant tracking systems, with the projects above on show.

  • Unlocked

    Interview practice

    Mock interviews with AI, and honest feedback before the real one.

  • Unlocked

    The judgement to pick the right tool

    When to prompt, when to build, when to automate, and when not to use AI at all.

03Formats

From one day to a full semester.

On campus or online. Every format starts with a short call about your students and ends with a plan you approve.

1 day

Workshop

One topic, built end to end. A strong start for a department, a club or a fest.

2 to 5 days

Bootcamp

Several topics, a build every day, and a project showcase at the end.

Across a term

Semester programme

A project-based programme alongside the curriculum, with regular sessions and reviews.

1 to 2 days

Faculty programme

For teachers: AI for lesson prep, assessment and research, and rules for AI in coursework.

Ritesh Hegde, founder of Ritz7 and lead instructor at ABCD

Ritesh HegdeFounder, Ritz7 · Your guide

04Your guide

Learn from someone who builds these for a living.

Ritesh started in automotive systems, spent 17 years automating software, and has built on WhatsApp for more than 5. He teaches what he runs: the agents and flows he teaches are the same kind Ritz7 builds for clients, and the kind that run his own working day.

His rule for every build: start with the problem, not the tool.

  • 25,000+people trained in the last 2 years
  • 450+projects delivered by Ritz7
  • 30+countries served
  • 17+ yrsbuilding automation
Message Ritesh

05Plan a programme

Tell us about your students.

A few details are enough. Ritesh gets back to you with a few questions and a suggested plan.

Topics you are interested in (pick any)

06Questions

What colleges ask before booking.

Which students is this for?

Any stream. Engineering and computer science students go deeper into building. Management, commerce and arts students focus on AI for learning, work and careers. We shape the plan around your students.

Do students need to know how to code?

No. Building apps with AI starts from a clear prompt, and n8n is visual. Students who already code simply get further, faster.

On campus or online?

Both. Hands-on sessions work on campus in a lab, or online on Zoom, Google Meet, Microsoft Teams or whichever platform you already use, with breakout rooms.

What do students need?

A laptop, a good internet connection and free accounts on the tools, which we list before the programme starts.

Can faculty join?

Yes. Faculty can sit in with students, and we also run programmes for faculty on their own: AI for teaching, assessment and research.

How do we get started?

Send the form above or message Ritesh. We start with a short call about your students, then share a programme plan for your approval.

For colleges & universities

Send them out able to build.

Tell us about your students, and we will shape a programme around them.

Plan a programme Book a call