Most AI courses give you a video library and a certificate. This one gives you 11 days, a live mentor and a portfolio project. If you are a college student who wants AI skills for internships and real work — without paying for a 40-hour course you will never finish — this is the sprint version.
Free seats for this cohort are limited.Reserve your seat before the batch fills — no payment, no card.
Reserve my free seat →It is an 11-day live sprint where you learn one AI tool and one prompt skill each day, then use them to build something small. The course is designed for college students in India who want practical AI skills, not another theory course. You work in a browser, follow a mentor in real time and finish each day with a deliverable you can keep.
The format matters more than the tool list. A 40-hour recorded course becomes a tab you never reopen because there is no deadline. Eleven days with a daily task creates eleven small deadlines — and deadlines are what turn a course into a skill. The goal is not to “learn AI.” The goal is to build one repeatable workflow you can explain in an interview.
The course is led by Asma Fathima, AI Trainer and Mentor at TaskVeda, and capped so students get feedback rather than watching a large webinar. If you want definitions before you join, read the complete AI tools and prompt engineering guide for students. If you want the build-first version, this is it.
Students often use the two terms interchangeably, but they describe different things. AI tools are the software you open: ChatGPT, Claude, Gemini, Perplexity, NotebookLM, Gamma, Canva, Ideogram, Whisper and Make. Prompt engineering is the skill of telling those tools exactly what you want — the role, the task, the context, the output format and the constraints.
Tools change every few months. The skill compounds. A student who understands why a prompt works can move from ChatGPT to Claude to a tool that launches next year without starting over. A student who only memorises buttons is stuck when the interface changes.
That is why this course teaches them together. On Day 1 you learn prompt anatomy inside ChatGPT. On Day 8 you apply the same thinking to image generation in Ideogram. On Day 10 you put a prompt inside an automation in Make. The tool is the vehicle; the prompt is the driving skill.
A simple example makes the difference clear. “Summarise this chapter” is a tool request. “Act as a strict exam examiner. Summarise this chapter in 150 words, list the five most likely exam questions, and mark the three concepts a student usually gets wrong” is prompt engineering. Same tool, very different output.
The problem is rarely intelligence. It is format. Most students start a 40-hour recorded course, watch the first four videos, feel productive and then never return. There is no deadline, no output and no one expecting anything. A week later the course sits in a folder next to six other unfinished courses.
Three patterns repeat:
The 11-day format is a direct answer to those three failures. One tool a day removes the overload. A daily build task removes passive watching. A capstone and a public README remove the “no proof” problem. The cohort and the mentor create the deadline that a recorded course cannot.
Use the filter to see the days that match your goal. Every day has one tool, one prompt skill and one deliverable. The free course covers the workflow; you do not need to master every feature of every tool.
Showing 11 of 11 days
Learn role, task, context, format and constraints — the five parts of a prompt you can reuse.
Build: a reusable study prompt Prompt engineeringUpload a long PDF, extract claims and summarise it without losing the nuance.
Build: a one-page brief Prompt engineeringCross-check claims across sources and catch hallucinations before they reach your assignment.
Build: a verified research note AI toolsAsk research questions and force citations so you can trace every claim back to a source.
Build: a source list for a project AI toolsTurn your own notes and PDFs into summaries, Q&A and revision material.
Build: a study and revision pack AI toolsGo from an outline to a clean presentation without fighting slide design.
Build: a five-slide deck AI toolsCreate a thumbnail or social visual with AI assistance and a consistent brand look.
Build: three ready-to-post visuals AI toolsControl style, composition and text inside an image instead of hoping for a lucky result.
Build: an event poster Prompt engineeringTurn a lecture, meeting or interview into a transcript and a short action list.
Build: notes with action items AI toolsConnect a trigger, an AI step and an output so a boring task runs without you.
Build: one working automation AutomationPackage one workflow, write the README and publish it as proof of work.
Build: your portfolio entry Career & portfolioThe day-by-day plan is intentionally narrow. You learn enough of each tool to finish a real task, not every menu and setting. That is why beginners can keep up and why the capstone is a working project instead of a quiz.
Want the full 11-day syllabus and Day 1 details?Free seats are capped for this cohort. Reserve now and get the group link instantly.
See the 11-day challenge →Here is the same curriculum in a compact table. Bookmark this section if you are comparing courses or want to see exactly what is covered before you register.
| Day | Tool | Prompt skill | What you build |
|---|---|---|---|
| 01 | ChatGPT | Prompt anatomy | Reusable study prompt |
| 02 | Claude | Deep reading | One-page document brief |
| 03 | Gemini | Research & verification | Verified research note |
| 04 | Perplexity | Cited answers | Source list with links |
| 05 | NotebookLM | Study packs | Revision and Q&A pack |
| 06 | Gamma | Deck structure | Five-slide presentation |
| 07 | Canva AI | Visual prompts | Three social visuals |
| 08 | Ideogram | Image prompting | Poster with readable text |
| 09 | Whisper | Transcribe & summarise | Notes with action items |
| 10 | Make | No-code automation | One working automation |
| 11 | Capstone | Packaging proof | Portfolio-ready workflow |
You do not need a computer science degree to write a good prompt. You need a structure. The course uses a five-part pattern that works across tools: role, task, context, format and constraints.
Here is the pattern applied to a real student task. A weak prompt says: “Explain DBMS normalisation.” A stronger prompt says: “Act as a placement trainer. Explain database normalisation to a second-year student who knows tables but not keys. Use one example table, walk through 1NF to 3NF, and end with three interview questions. Keep it under 400 words and avoid jargon you have not defined.”
The second prompt is not longer for the sake of length. Each part does a job. The role sets the level, the context sets the audience, the format makes the output usable and the constraints prevent a wall of generic text.
Days 1 and 2 build this pattern in ChatGPT and Claude. Day 3 applies it to research and verification in Gemini. Day 8 applies it to images, where composition and text constraints matter. Day 10 embeds a prompt inside an automation, where a vague instruction fails silently. By the end, you are not collecting prompts — you are writing them for the task in front of you.
The course is judged by output, not attendance. By Day 11 you should have five assets you can reuse:
This is proof of work, not a participation certificate. Recruiters cannot verify that you watched a video. They can open a GitHub link, read a README and ask you why you made the choices you made. That is the difference between “knows ChatGPT” and “can build with AI.”
Plan for 30 to 60 minutes a day. The live session covers the concept and the prompt pattern; the build task is where the learning sticks. Across 11 days that is roughly 6 to 10 focused hours — less than a weekend of scrolling, and far more useful.
You do not need to be online at a specific hour for the full day, but the cohort moves together. If you fall behind, do the build task before the next session. The course is designed to be finished, not to be impressive on a landing page.
There are hundreds of AI courses online, and most are not dishonest — they are just built for a different outcome. Before you pay for one, check seven things. They matter more than the course trailer.
Red flags are easier to spot than good signs. “Guaranteed job”, “100+ tools in 7 days” and “certificate with no project” are marketing, not education. No honest course can guarantee a job, and no student needs 100 tools in a week.
TaskVeda's 11-day course is not the right fit for everyone. It is free, live, capped and project-based, which is ideal if you want proof of work and difficult if you cannot commit 30–60 minutes a day. Use the checklist honestly before you register — for this course or any other.
All three can teach you something. They are not built for the same outcome. Here is an honest comparison for a college student deciding where to start.
| Factor | TaskVeda 11-day free course | Paid certification | YouTube self-study |
|---|---|---|---|
| Cost | ₹0 | ₹2,000–₹50,000+ | Free |
| Structure | Daily live sprint + build task | Often recorded, self-paced | Playlist, no deadline |
| Mentor feedback | Live mentor in the room | Varies by provider | None |
| Portfolio project | Capstone + GitHub project | Sometimes | Rarely finished |
| Best for | Students who want proof of work | Students who need a specific credential | Curious beginners testing interest |
A paid certificate can be worth it if a job application explicitly asks for one. For most students, the first goal is not another line on a resume — it is a project you can explain. Build that first. You can always add a certificate later.
Seats are capped because the sessions are live and mentor-reviewed. When the cohort fills, registration closes — there is no point collecting thousands of sign-ups you cannot support.
11 days. 10 tools. One portfolio project.
Free seats are limited for this cohort. Reserve yours before the batch fills.
Limited free seats — registration closes when the cohort fills.
You do not need to install anything or buy a subscription. Setup takes about 20 minutes, and you can do it the day before the cohort starts.
That is the entire prep list. The course is designed for students who do not already have an AI setup, not for people who have been building workflows for years.
It is useful, but be clear about what it does. No 11-day course can guarantee a job. What this course does is give you evidence: a working automation, a GitHub project and a portfolio entry that shows how you approached a real problem. That evidence is what makes an internship interview easier to handle.
Recruiters do not hire a course name. They hire evidence, communication and the ability to learn. A student from a tier-2 or tier-3 college can compete when they can open a project and explain the decisions behind it. That is the point of the capstone — and it is why the course is built around shipping, not watching.
If you want the longer career plan after the 11 days, read the AI career roadmap for students and the complete AI tools and prompt engineering guide. Finish the free course first, then decide what to learn next.
Yes. The TaskVeda 11-day AI tools and prompt engineering course is completely free. There is no registration fee, no payment at the end and no hidden charge. You reserve a free seat on the 11-day challenge page.
No. The course starts from zero and uses browser-based AI tools, templates and no-code automation. Coding is optional and only appears if you choose to connect tools with an API.
Plan for 30 to 60 minutes a day: one live session and one short build task. The full 11 days takes roughly 6 to 10 focused hours, depending on how deep you go on the project.
The course covers ChatGPT, Claude, Gemini, Perplexity, NotebookLM, Gamma, Canva AI, Ideogram, Whisper and Make, plus a capstone where you package and publish your workflow.
The free 11-day challenge is project-based and does not include a certificate. You leave with a working workflow, an automation, a GitHub project and a portfolio entry, which are stronger proof of skill in an interview.
Yes. Students from commerce, arts, science, design and management join regularly. The tools are used in marketing, finance, operations, research and content, so non-CS students can apply them to work they already understand.
You will build a reusable prompt library, one no-code automation, one GitHub project with a README and one portfolio case study that explains the problem, the workflow and the result.
Open the 11-day challenge page, fill the short form with your name, email, WhatsApp number, college, branch and year, then join the WhatsApp group. Seats are capped because the sessions are live and mentor-reviewed.
Eleven days is short enough to start and long enough to build something real. If you have been waiting to learn AI tools and prompt engineering, this is the cheapest and fastest way to stop watching and start shipping. You do not need a famous college, a coding background or a paid certification to begin. You need a deadline, a mentor and one project worth showing.
Reserve your free seat, join the group and show up for Day 1. The cohort is capped, and the next step is on the challenge page.
Last updated: 21 October 2026