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HomeData, Analytics and AIData, Analytics and AIData Science and AI
● 6-month course · Next batch 3 August

Data Science and AI, from math to models in production.

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.

Enrol in next batch Download syllabus
100%Project-based
0Corporate partners
4.7★On Google
5.5 LPAAvg fresher salary
Placed from this course
[ Big photo: Gautham S. ]UST₹8.5 LPA
Gautham S.Data Scientist · UST
[ Data analyst ]Data Scientist
[ Big photo: Aleena T. ]Startup₹7.0 LPA
Aleena T.ML Engineer · Startup
[ B.Tech fresher ]ML Engineer
[ Big photo: Nandu K. ]GCC₹12.0 LPA
Nandu K.GenAI Engineer · GCC
[ Python developer ]GenAI Engineer
[ Big photo: Riya V. ]IBS₹6.5 LPA
Riya V.Junior Data Scientist · IBS
[ M.Sc graduate ]Junior Data Scientist
And they are not alone.More from recent batches
Ajmal H.₹6.0 LPADS · Fintech
Krishna P.₹7.5 LPAML · Retail GCC
Sona M.₹5.5 LPADS · Healthcare
Vishnu A.₹9.0 LPAGenAI · SaaS
See their stories
Where past batches landed

Four of our graduates. In their own words.

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.

Shorts5 → 8.5 LPA[ Shorts thumbnail: Gautham ]
Gautham S.Data Scientist · UST
ShortsFresher to 7 LPA[ Shorts thumbnail: Aleena ]
Aleena T.ML Engineer · Startup
Shorts6 → 12 LPA[ Shorts thumbnail: Nandu ]
Nandu K.GenAI Engineer · GCC
ShortsFresher to 6.5 LPA[ Shorts thumbnail: Riya ]
Riya V.Junior DS · IBS

Want to talk to someone who has done it?

Request an alumni call
Why now

Why data science and AI, and why now.

AI 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.

#1Fastest-growing tech role

AI and ML specialist roles top every growth ranking of technical jobs.

GenAIA new job family

LLM application skills created roles that did not exist three years ago.

+40%Premium over analytics

ML engineers earn a clear premium over pure reporting roles.

Why it is a smart move for you

Applied, not academic

We optimise for shipping models, reading metrics honestly and explaining trade-offs.

GenAI built in

LLM apps, RAG and prompt engineering are core modules, not an afterthought.

Portfolio recruiters can run

Deployed models with live endpoints beat certificates in every screening.

Bridges from analytics

Analysts and developers step up naturally; the course meets you where you are.

Eligibility

Is Data Science and AI right for you?

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.

A strong fit if you are
  • An engineering or science graduate with quantitative comfort
  • A data analyst stepping up to ML
  • A developer moving toward AI engineering
  • A statistics or math graduate seeking applied skills
  • A professional targeting GenAI application roles
What you will need
  • A graduate degree, ideally quantitative
  • 10 hours a week for six months
  • Basic Excel or any coding exposure helps
  • Willingness to practise math without fear
[ counsellor photo ]
Not sure you qualify?A counsellor reviews your background and tells you honestly. Free, no pressure.
Check my eligibility
The full course

Curriculum, projects and tools.

Week-by-week structure, what past learners built, and every tool you'll touch hands-on. Curriculum 10 · Projects 3 · Tools 12.

M01Python for data science26 hrs · Wk 1-3 +
M02Statistics that matter24 hrs · Wk 3-5 +
M03SQL and data engineering basics18 hrs · Wk 5-6 +
M04Machine learning core30 hrs · Wk 6-9 +
M05Unsupervised and applied ML20 hrs · Wk 9-10 +
M06Deep learning foundations24 hrs · Wk 10-12 +
M07NLP and transformers22 hrs · Wk 12-14 +
M08Generative AI applications26 hrs · Wk 14-16 +
M09MLOps and deployment22 hrs · Wk 16-18 +
M10Capstone and interview sprint28 hrs · Wk 18-24 +
The full week-by-week syllabus is free

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 WhatsApp

Three capstones, reviewed by working professionals

[ Screenshot: model API docs ]
Capstone themeChurn prediction in production

A churn model from raw data to a documented FastAPI endpoint, with honest metrics and a monitoring plan.

scikit-learnFastAPIDocker
[ Screenshot: RAG chat interface ]
Capstone themeDomain RAG assistant

A retrieval-augmented assistant over a real document corpus, with evaluation harness and guardrails.

LLM APIsVector DBEvaluation
[ Screenshot: classifier demo UI ]
Capstone themeVision quality-check system

Transfer-learned image classifier for a manufacturing use case, deployed with a simple review UI.

PyTorchTransfer learningDeployment

Every tool you'll touch

PYPythonCore language
NPNumPyNumerics
PDpandasData wrangling
SKscikit-learnClassical ML
PTPyTorchDeep learning
HFHugging FaceTransformers
SQLSQLFeature prep
FAFastAPIModel APIs
DKDockerPackaging
VDVector DBRAG
GPTLLM APIsGenAI apps
GHGitHubPortfolio
Who teaches this

Led by a senior practitioner, backed by a full-time mentor.

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.

[ Photo: lead trainer, candid ]
Lead trainer · Industry expert · Currently practising Dr. Meera J.

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.

12 years experienceEx · GCC AI lab
[ Photo: mentor ]
Full-time mentor · Cokonet Akhil P.

Your full-time Cokonet mentor for daily doubts, math anxiety and debugging between the lead sessions.

[ counsellor photo ]
Want to meet the trainer for your batch?The Cokonet method: you advance on competency, not attendance, and are introduced to employers only once your Career Readiness Index clears our bar.
Book a free call
What you walk away with

One certificate included. The industry exams are optional.

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.

Included with the course
[ Certificate preview: Cokonet completion certificate ]
Cokonet completion certificate

Issued on completion of all modules and the three capstone projects. Shareable on LinkedIn with a verifiable link.

Optional industry certifications

We prepare you for these during the course. The exams themselves are booked with the certification body and charged separately.

Microsoft Azure AI Fundamentals (AI-900)
~45 mins · fundamentalsRecognised baselineOptional · charged separately
Microsoft Power BI Data Analyst (PL-300)
For the analytics layerStrong resume pairingOptional · charged separately
Get the full breakdown · Download syllabus
How placement works

Six steps to your first offer.

The career track runs alongside the coursework from week one. Placement isn't an afterthought here.

1

Skills + portfolio

Build Python, ML, deep learning and GenAI skills with three deployed capstones.

2

Certification prep

Structured preparation for Microsoft AI-900 during the course.

3

Resume + LinkedIn

Rebuilt to a professional rubric by the placement lead, projects front and centre.

4

Three mock interviews

Technical scenarios and behavioural rounds, all recorded, with feedback.

5

Matched introductions

We introduce you to specific roles across 400+ corporate partners. We don't blast your CV.

6

Offer & beyond

Negotiation help, then onboarding coaching. Support continues 6 months post-completion.

0Years training since 2010
0Corporate partners
₹18 LPAHighest package recorded
58%Average hike for switchers

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.

[ counsellor photo ]
Where our learners get hired.Alumni work as data scientists and ML engineers in GCCs, startups and IT services AI practices.
Talk to the placement team
After the course

What you will be after this course.

The typical Data Science and AI career path. Switch the market to see indicative pay.

Showing India base CTC ranges
YearRoleBase CTC
Year 0Course completeCertified + portfolio
Year 1Junior Data Scientist / ML EngineerRs 4-8 L
Year 2-3Data ScientistRs 8-16 L
Year 3-5Senior Data ScientistRs 16-28 L
Year 5-7ML Lead / GenAI EngineerRs 28-45 L
Year 7-8Principal / AI ArchitectRs 45-65 L

Ranges compiled from public 2025-26 market data (Glassdoor, market salary guides). Your offer depends on skills, employer and location.

[ counsellor photo ]
Ready to start this trajectory?Pick a batch below or talk to a counsellor first.
Enrol now
A direct comparison

Cokonet vs other EdTechs. No spin.

An honest side-by-side with the typical online "Data Science and AI" course.

What mattersTypical online EdTechCokonet Academy
Recognition✕ Self-issued, not recognised.✓ Microsoft AI certification tracks.
Cohort size✕ 100–500+; a row in a sheet.✓ 25 max, the trainer knows you.
Trainers✕ Often recent grads, scripted.✓ Industry pros on live projects.
Hands-on✕ Slides and a recorded screen.✓ Real datasets, deployed models, live API endpoints.
Placement claims✕ "95-100% assistance", vague.✓ 76% verified, a published method.
Refund✕ Usually none after session 1.✓ 7-day refund, no questions asked.
In-person option✕ Online-only.✓ TVM, Kochi + Bengaluru in-person centres.

You have seen the difference.

Enrol in the next batch
Give a career

Gift this course

  • Cover a partner, sibling or friend's seat, in full or in part
  • We set it up and send a gift note in your name
  • Full or part payment · EMI available
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Refer & earn

Refer a friend, earn cash

  • Know someone switching careers? When they enrol, you get paid
  • They get a discount too
  • Rs 2,000 to 5,000 per successful referral
Start referring
FAQ

The questions people actually ask.

If yours isn't here, a counsellor answers it on a 20-minute call.

How much math do I really need? +
Enough to reason, not to prove theorems. We teach the statistics and linear algebra you need inside the modules, always tied to a model you are building. Quantitative comfort matters more than a math degree.
What is the difference between this and the Data Analytics course? +
Analytics answers what happened using SQL and dashboards. Data science predicts and automates decisions using models. This course includes Python at depth, ML, deep learning and GenAI, and runs six months instead of four.
Will I work on GenAI or just classical ML? +
Both, deliberately. Classical ML remains most production work; GenAI is the fastest-growing layer. You build a RAG assistant and LLM applications alongside churn and vision models.
What is the starting salary in data science? +
Junior roles typically start between Rs 4 and 8 lakh depending on portfolio strength. With deployed projects and two years of experience, Rs 8 to 16 lakh is common, and GenAI skills push the top of every band.
Do I need to know coding before joining? +
Some exposure helps but is not required. The first month builds Python fluency from fundamentals with heavy practice. Analysts and developers can fast-track through it.
Are the projects real or toy datasets? +
Real and messy. Capstones use realistic business data, and every model ends behind a live endpoint recruiters can call. Toy notebooks do not survive interviews; deployed work does.
Is it online or classroom, and is Malayalam support available? +
Both. In-person batches in Trivandrum, Kochi and Bengaluru, plus live online batches across Kerala and the GCC. Sessions are in clear English with Malayalam support.
Do you guarantee a job after the course? +
No, and we will not pretend otherwise. We provide structured placement support and real introductions across 400+ corporate partners, with support continuing six months after you finish.
Upcoming cohorts · seats capped at 25

Ready to start?

Pick a start date below, or talk to a counsellor first if you are not sure which fits.

3 August 2026MondayFilling fast
  • Mode · Trivandrum + Online
  • Schedule · Weekday evenings
  • Trainer · Dr. Meera J.
  • Language · English with Malayalam support
  • Certification · Microsoft AI-900 prep included
  • Payment · EMI and scholarships available
15 of 25 seats taken Enrol in this batch
[ Anjali · photo ] Most chosen first step Not sure which batch 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 hours