One course per tool, written out here in full — the same twenty products Indian employers now name in fresher listings. Every lesson ends with something you can show: a prompt library, a workflow, an image set, a deployed app. Nothing is behind a paywall and no account is needed to read a syllabus.
A single "introduction to AI" course teaches you nothing an employer can check. Each course here is about one product you will be asked to use by name: how it thinks, where it breaks, and the workflow that gets a usable result on the third prompt rather than the thirtieth.
Read the explanation, copy the worked example, then do the practice task. The task is the point — an interview does not ask what you know about Cursor, it asks to see what you built with it.
Finish a course and you have the modules, the completion certificate and the two projects that turn "familiar with AI" into a line on a resume that a recruiter can follow up on.
Each card opens the whole course — modules in order, worked examples, practice tasks and its certificate. Take one properly rather than five halfway.
Produce finished design work for real purposes — a portfolio, a presentation, a social post set, a personal brand — using AI for the drafts and your own judgement for the final call.
4 modules 15 lessons
Use ChatGPT as a working assistant — prompts you can reuse, files you can question, one small automation, and a portfolio project you can defend in an interview.
4 modules 15 lessons
Use Claude for the work it is genuinely best at — long documents, careful editing, structured analysis and Artifacts you can hand over as a real file.
4 modules 15 lessons
Drive an editor where the assistant can see and change the whole project, and learn the discipline that makes that safe: describe, review the diff, test, commit.
4 modules 15 lessons
Use a reasoning model properly — when to pay for thinking time, how to read the reasoning, and how to run the same open weights yourself when you need privacy or volume.
4 modules 15 lessons
Produce audio you would actually publish — narration for a project video, an audio version of an article, a language-practice file — and understand the consent rules around voices before you touch a clone.
4 modules 15 lessons
Use an AI coding assistant the way a working developer does — as a reviewer, an explainer and a first-draft machine — without ever shipping code you cannot defend.
4 modules 15 lessons
Use Gemini where it is unbeatable — a current fact with a source, a YouTube video you have to revise from, and the Docs, Sheets and Gmail you already write in every day.
4 modules 15 lessons
Use Grok for what it is genuinely useful for — live information, a blunt second opinion, and a reality check on your own plan — while learning where its bluntness stops being an advantage.
4 modules 15 lessons
Delegate a whole task rather than a single request: write a brief, let an agent work, and check what it produced against what you asked for.
4 modules 15 lessons
Understand what open weights actually let you do, run a model on your own laptop, and build one small tool that would not have been possible through a hosted chat window.
4 modules 15 lessons
Use Copilot where it is genuinely different — inside Word, Excel and Outlook on real files — and know exactly when a standalone assistant would be the better tool.
4 modules 15 lessons
Produce images you can actually use — on a portfolio, a project, a poster, a slide — and understand the licensing, the controls and the ethics before you publish anything.
4 modules 15 lessons
Use a fast, efficient assistant for the everyday work it is good at, and understand when a smaller open model is genuinely the better engineering choice.
4 modules 15 lessons
Build a notebook for every subject or project you are working on, and use it to revise, question and write — with every claim traceable to a page you were given.
4 modules 15 lessons
Replace half your search-engine time with sourced answers, learn to read the citation before the claim, and run research that produces a brief you can defend.
4 modules 15 lessons
Take one real idea from a paragraph to a deployed, working application you can show somebody — and learn to read, change and defend the code that got you there.
4 modules 15 lessons
Produce short video that looks deliberate — a demo reel, a title sequence, a fixed-up clip — and learn to plan in shots rather than in scenes.
4 modules 15 lessons
Produce music you can use — a background bed for a project video, a jingle for a college event, an audio identity for a channel — and understand what you may do with it.
4 modules 15 lessons
Automate real parts of your own week — applications, notes, alerts, a study log — and understand the trade between no-code speed and code-level control.
4 modules 15 lessons
Four steps, in this order. The first one is the only one that is not obvious.
Take the free readiness check. It names the tools and skills the roles you are applying for are asking for, so you spend six weeks on the right two courses instead of all twenty.
ChatGPT or Microsoft Copilot, whichever your field uses. It teaches prompting as a method — context, constraints, examples, iteration — and every other tool on this page assumes you already think that way.
Including the ones you think you understood. Reading a solution teaches its shape; producing it teaches you the part you would have got wrong in an interview.
A prompt library, a dashboard, an image set, a deployed app — whichever two came out of the courses you took. Then apply, with the work attached.
The readiness check scores you on fifteen criteria that decide fresher hiring — including the tools your target role names — and gives you a roadmap for what to fix this month.