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Data Science and AI syllabus.

The complete module-by-module curriculum for the Data Science and AI program, exactly as it is taught. Enter your details and the full syllabus opens right here; a counsellor can also walk you through it on a call.

✓ Every module, tool and project, nothing hidden✓ Taught live by working professionals✓ Batch dates and mode options included on the call

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

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

Capstone themeDomain RAG assistant

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

LLM APIsVector DBEvaluation

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

FAQ

The questions people actually ask.

How many modules are in the Data Science and AI syllabus? +

There are 10 modules, from M01 Python for data science through M10 Capstone and interview sprint. Each one lists its own topics, hours and week numbers, and the full breakdown opens on this page once you verify your mobile.

How long is the Data Science and AI course? +

The syllabus lists 240+ hours of live instruction across 24 weeks. Module M01 starts in week 1 and M10 closes the course in weeks 18-24.

What projects will I build on the Data Science and AI course? +

Three capstones, reviewed by working consultants: Churn prediction in production, Domain RAG assistant and Vision quality-check system. They are what you show in an interview, so the portfolio is finished before the course ends.

Which tools does the Data Science and AI course cover? +

12 tools in all, including Python, NumPy, pandas, scikit-learn, PyTorch and Hugging Face. The tools tab on this page lists every one of them, and you work in them hands-on rather than watching a demo.

Is the Data Science and AI syllabus free to download? +

Yes. Verify your mobile once and the complete syllabus opens on this page, and we also send the PDF to your WhatsApp. There is no charge and no obligation to enrol.

How large is a Data Science and AI batch? +

Batches are capped at 25 seats and every class is taught live by working professionals, not played back from a recording.