Six months from Python basics to models in production. Statistics, machine learning, deep learning and GenAI applications on real datasets, finished with deployed projects recruiters can test, with placement support until you are hired.
Real people who finished this Data Science and AI course and agreed to share their story. The salary numbers are what they were actually paid when they got placed. Tap any short to watch.
Want to talk to someone who has done it?
Request an alumni callAI moved from research labs into every product roadmap, and companies now hire for applied skills: people who can clean data, train a sensible model, evaluate it honestly and ship it. That applied layer, not PhD research, is where the jobs are.
AI and ML specialist roles top every growth ranking of technical jobs.
LLM application skills created roles that did not exist three years ago.
ML engineers earn a clear premium over pure reporting roles.
We optimise for shipping models, reading metrics honestly and explaining trade-offs.
LLM apps, RAG and prompt engineering are core modules, not an afterthought.
Deployed models with live endpoints beat certificates in every screening.
Analysts and developers step up naturally; the course meets you where you are.
Data science rewards mathematical curiosity and patience with messy data. Engineering, science, statistics and strong analytics backgrounds all fit; motivated beginners with quantitative comfort do too.
Week-by-week structure, what past learners built, and every tool you'll touch hands-on. Curriculum 10 · Projects 3 · Tools 12.
Every topic, project and tool, module by module. We send the complete PDF to your WhatsApp after a quick mobile verification.
Get the full syllabus on WhatsAppA churn model from raw data to a documented FastAPI endpoint, with honest metrics and a monitoring plan.
A retrieval-augmented assistant over a real document corpus, with evaluation harness and guardrails.
Transfer-learned image classifier for a manufacturing use case, deployed with a simple review UI.
Your batch is led by an experienced data science professional who works on live projects. A full-time Cokonet mentor supports the batch day to day, so help is always a message away.
Builds ML systems for healthcare and retail clients.
A practising data scientist who has deployed models used in production. She leads your batch with real datasets and unforgiving honesty about metrics.
Your full-time Cokonet mentor for daily doubts, math anxiety and debugging between the lead sessions.
Every graduate earns the Cokonet completion certificate, backed by a verified capstone portfolio. The official industry exams are prepped for in the course, but booked and paid separately.
Issued on completion of all modules and the three capstone projects. Shareable on LinkedIn with a verifiable link.
We prepare you for these during the course. The exams themselves are booked with the certification body and charged separately.
The career track runs alongside the coursework from week one. Placement isn't an afterthought here.
Build Python, ML, deep learning and GenAI skills with three deployed capstones.
Structured preparation for Microsoft AI-900 during the course.
Rebuilt to a professional rubric by the placement lead, projects front and centre.
Technical scenarios and behavioural rounds, all recorded, with feedback.
We introduce you to specific roles across 400+ corporate partners. We don't blast your CV.
Negotiation help, then onboarding coaching. Support continues 6 months post-completion.
Freshers typically start between Rs 4 and Rs 8 LPA, with a 90-day median time to a first offer. Numbers verified in our published placement reports.
The typical Data Science and AI career path. Switch the market to see indicative pay.
Ranges compiled from public 2025-26 market data (Glassdoor, market salary guides). Your offer depends on skills, employer and location.
An honest side-by-side with the typical online "Data Science and AI" course.
You have seen the difference.
Enrol in the next batchIf yours isn't here, a counsellor answers it on a 20-minute call.
Pick a start date below, or talk to a counsellor first if you are not sure which fits.
A free 20-minute call with our lead counsellor. She maps your background to the right batch, fees and EMI. No script, no pressure.
Book a free call → Avg. callback in 2 working hoursA counsellor maps your background to SAP FICO, or a better-fit course. If we're not the fit, they'll say so. Verified by OTP. Never sold or shared.