Most “free” AI courses are three videos and a paywall. This one is different. Over 11 days you learn the AI tools that actually show up in internships and entry-level jobs — ChatGPT, Claude, Gemini, research tools, automation and no-code agents — and you build something real with each one. It is completely free. No fee, no hidden charge, no certificate upsell at the end. Just a free seat, a live mentor and a daily build task.
It is a mentor-led bootcamp, not a playlist. Each day has a live session, a short explanation of the tool, and a build task you finish the same evening. By day 11 you are not “aware of AI tools” — you have a working workflow, an automation project and a GitHub repository that proves you can use them.
This matters because recruiters have already stopped being impressed by the phrase “knows ChatGPT.” Every second resume says that. What stands out is a student who can show a repeatable workflow: how they researched a topic, how they used AI to draft and verify, how they automated a boring task, and what the output looked like before and after.
The 11-day format is deliberate. A 40-hour recorded course becomes a tab you never reopen. Eleven days with a live mentor creates a deadline every single day — and deadlines are what turn a course into a skill.
Online course platforms sell you access, not completion. The average student buys a course, watches the first two modules and stops. A cohort works the opposite way: everyone is building on the same day, mentors answer questions in the group, and you feel the cost of falling behind.
Eleven days is also long enough to build a habit and short enough to finish. You can fit it around college, internships and semester exams. And because every session produces a small artifact — a prompt library, a research brief, a slide deck, an automation — you leave with a portfolio instead of a certificate you cannot defend in an interview.
| Day | Focus | What you build |
|---|---|---|
| Day 1 | How modern AI actually works — models, tokens, context, limits | A one-page cheat sheet of which model to use for which task |
| Day 2 | Prompt fundamentals — role, task, context, format, constraints | A reusable prompt template for one real college task |
| Day 3 | Research with AI — search, sources, verification | A verified research brief with citations on a topic from your branch |
| Day 4 | Writing and thinking — notes, summaries, drafts, rewriting | A polished 600-word write-up built from your day-3 research |
| Day 5 | Visual tools — images, slides and documents | A five-slide deck made with AI, with a human-edited narrative |
| Day 6 | Data and spreadsheets — analysis, formulas, charts | A cleaned dataset and a one-page insight report |
| Day 7 | Automation basics — triggers, actions, repeatable workflows | One workflow that saves you at least 30 minutes a week |
| Day 8 | No-code AI agents — connecting tools without writing code | A small agent that takes an input and returns a useful output |
| Day 9 | AI for coding and debugging — using it without becoming dependent | A working mini-project or a fixed bug with an explanation |
| Day 10 | GitHub and portfolio — packaging your work | A public repo with a README that explains your workflow |
| Day 11 | Resume, LinkedIn and interview framing | A portfolio entry, a resume bullet and a 60-second interview answer |
The exact order can shift slightly depending on the cohort, but the outcome does not: every student ends with proof of work.
“Build projects” is easy to say and hard to do alone. The bootcamp gives you a small, finishable build every day, then helps you turn three of them into one portfolio story. The three that matter most:
None of these require a powerful laptop or a paid subscription. A browser, a free account on the tools and 60–90 minutes a day are enough.
| Tool | Best for | Student reality |
|---|---|---|
| ChatGPT | General reasoning, drafting, coding help, brainstorming | Free tier is enough to learn; paid tier is optional |
| Claude | Long documents, careful writing, structured analysis | Strong for reading PDFs and improving drafts |
| Gemini | Google ecosystem, research, multimodal tasks | Useful when your college work already lives in Google Workspace |
| Perplexity | Source-backed answers and quick research | Always open the cited sources; do not trust the summary alone |
| NotebookLM | Turning your own notes and PDFs into study material | Excellent for exam revision and project literature |
| Canva / Gamma | Slides, posters, presentations | Use AI for the first draft, then edit the narrative yourself |
| n8n / no-code automations | Connecting apps and removing repeated work | Start with one trigger and one action, not a 20-step workflow |
| GitHub | Showing your work publicly | The README matters more than the code for a first portfolio |
Tool names change every few months. The skill underneath does not: knowing which tool fits a task, writing a clear instruction, checking the output, and packaging the result.
Join if you are a college student who has used ChatGPT a few times but cannot explain how to use it reliably; if you want a portfolio project but keep starting and abandoning tutorials; if you are from a non-CS branch and want a practical AI skill without a coding bootcamp; or if you are preparing for internships and need something concrete to talk about.
Skip it if you are looking for a passive certificate to add to a list, if you cannot commit 60 minutes a day for 11 days, or if you already build and deploy AI workflows regularly. The bootcamp is beginner-friendly, but it is not passive.
Completely free. No fee. No hidden charge.
11 days, live mentorship, real projects — for students who show up.
Limited free seats for this cohort — registration closes when it fills.
The students who finish are not the ones with the most free time. They are the ones who use a repeatable routine:
By day 11 that log becomes interview material. When a recruiter asks “How do you use AI?”, you do not give a vague answer. You describe a workflow, a mistake you fixed and a result you measured.
| Factor | Free 11-day bootcamp | Paid AI course | YouTube self-study |
|---|---|---|---|
| Cost | ₹0 | ₹2,000–₹50,000+ | ₹0 |
| Structure | Live, day-by-day | Recorded or cohort | Whatever you find |
| Accountability | Mentor + group | Varies | None |
| Portfolio output | Built into the tasks | Sometimes | Rarely |
| Best for | Students who need momentum | Students who need depth in a niche | Students who already know what to learn |
Free does not mean low quality. It means the program is designed to earn your attention rather than your payment. The trade-off is simple: you still have to do the work.
Do not collect another course immediately. Turn the bootcamp output into opportunity first:
If you want to go deeper after the free bootcamp, explore TaskVeda's longer AI Tools & Prompt Engineering accelerator, but only after you have finished and shipped something from the free 11 days.
Yes. The TaskVeda 11-day AI tools and prompt engineering bootcamp is completely free. There is no registration fee, no certificate charge and no hidden payment at the end. You claim a free seat on the 11-day challenge page and attend the live sessions.
No. The bootcamp starts from zero. You will use browser-based AI tools, templates and no-code automation, so a student from any branch can follow along. Coding is optional and only appears when you choose to connect tools with an API.
You will have a working AI workflow, one automation project, a GitHub repository that documents it, and a portfolio entry you can show in internship interviews. The goal is proof of work, not just notes.
Plan for 60 to 90 minutes a day: one live session plus a short build task. Students who only watch the sessions learn the ideas, but students who finish the daily task leave with something real to show.
Yes. The tools covered are used in marketing, finance, design, operations, research and sales. Non-CS students often get more value because they can apply automation to work that their branch already understands.
Reserve your free seat on the 11-day challenge page linked on this page. You will receive the session link, daily tasks and mentor support by email and WhatsApp. Seats are limited because the sessions are live and reviewed by mentors.
Limited free seats — first come, first served.