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AI & DS

AI & Data Science

Machine learning, data engineering and applied AI.

Field of study

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Core subjects

Subjects you actually study in AI & DS — with notes, PDFs and video links.

Browse all subject notes & PDFs →

Learning roadmap

Phase by phase, with a resource link on every step.

1
Phase 1 — Foundations
2
Phase 2 — Core subjects
3
Phase 3 — Specialise
4
Phase 4 — Job ready

Technical skills

Data wrangling
Feature engineering
Model training & evaluation
Experiment tracking
Model deployment
Data visualisation

Programming skills

PythonSQLRPySparkJavaScript (for apps)

Tools & technologies

PyTorchscikit-learnPandas / NumPyMLflowDockerTableau / Power BI

Mini projects

Short, buildable projects to start with.

  • House price regression with full EDA
  • Image classifier web app
  • Sentiment analysis on reviews
  • Sales forecasting dashboard

Major projects

Final-year scale projects that stand out in interviews.

  • RAG-based study assistant with vector search
  • End-to-end MLOps pipeline with monitoring
  • Real-time recommendation engine
  • Computer vision quality-inspection system

Career paths

  • • Machine learning engineering
  • • Data science
  • • Data engineering
  • • Applied AI / LLM engineering
  • • Analytics
  • • AI research

Job roles

  • • Data Scientist
  • • ML Engineer
  • • Data Analyst
  • • Data Engineer
  • • AI Engineer
  • • Research Assistant

Government & PSU opportunities

Exams and organisations that recruit from this branch.

  • ISRO / DRDO AI research roles
  • NIC data science positions
  • RBI / SEBI analytics roles
  • GATE (DA) for PG admissions
  • Government AI mission projects

Higher studies

  • • M.Tech / MS in AI, Data Science or CSE
  • • GATE (DA / CS) for IITs/IISc
  • • MS abroad in ML / Data Science
  • • PhD in AI research

Certifications

  • • TensorFlow Developer Certificate
  • • AWS ML Specialty
  • • Azure Data Scientist Associate
  • • Databricks Data Engineer Associate

Industry-relevant technologies

What companies in this field are actively working on.

Large language models & agentsRetrieval-augmented generationVector databasesMLOps and model monitoringMultimodal modelsResponsible AI & evaluation

AI & DS career updates

Domains hiring from this branch and the skills each one expects.

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