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Syllabus

Week topics from the course map

00W00

Topic

Incomplete

01W01

Week 1: Data Science & Python Stack Refresher

Incomplete

02W02

Week 2: Machine Learning with Scikit-learn

Incomplete

03W03

Week 3: Deep Learning with PyTorch and TensorFlow

Incomplete

04W04

Week 4: Computer Vision and Image Processing

Incomplete

05W05

Week 5: NLP and LLMs using HuggingFace

Incomplete

06W06

Week 6: Prompt Engineering, LangChain & LLM APIs

Incomplete

07W07

Week 7: Retrieval-Augmented Generation (RAG) & Vector DBs

Incomplete

08W08

Week 8: Agents and Autonomous AI (Langchain, LangGraph)

Incomplete

09W09

Week 9: Data Visualization & Dashboards

Incomplete

010W10

Week 10: Time Series Forecasting

Incomplete

011W11

Week 11: Big Data and Cloud Platforms - Google Cloud Platform

Incomplete

012W12

Week 12: Model Explainability, Ethics & Mini-project

Incomplete

Study tools

Memorize first

Compact recall strip

Open notes

1 min

Big Data Tools

Open this first for the core logic and traps.

Dive in

1 min

Computer Vision

Open this first for the core logic and traps.

Dive in

1 min

Data Visualization Lab

Open this first for the core logic and traps.

Dive in

Practice Dock

One drill at a time, with Theo hints, teacher lanes, and a replay queue.

Use this when the theory is already clear and the goal is fast, clean retrieval under pressure. Mark weak questions, copy a revision pack, and move on.

TheoTeacherTextbookSpeedrun

Ask less. Recall more.

Open Practice Dock

SM-2 Active

Spaced Repetition

Flashcards

Spaced repetition engine for long-term retention of core concepts.

Start session

Not Available

Interactive Simulations

Visual Labs

Exam Mode

Adaptive Practice

Mock Exam

Set paper

Code Protocol

OPPE Simulator

Secure Comm-Link Terminal

Secure Comm-Link // @IITMadrasBSDegreeProgramme

Uplink 12ms

Syllabus Synchronization: Active

Open current cue

Syllabus Matrix Registry

Global Course Index

Open Full Frame

Master Registry

v6.4 Directory

Foundational

Diploma

BSc Degree

BS Degree

PG / MTech

BSDA4001

BS Degree

4 Credits

35. Data Science and AI Lab

This is a hands-on course designed to bridge the gap between academic knowledge and industry needs in Data Science and AI. The course revisits esse...

Required Dependencies:

Deployment Hub External Docs

Execution Protocol

Module 0

Topic

Module 1

Week 1: Data Science & Python Stack Refresher

Module 2

Week 2: Machine Learning with Scikit-learn

Module 3

Week 3: Deep Learning with PyTorch and TensorFlow

Module 4

Week 4: Computer Vision and Image Processing

Module 5

Week 5: NLP and LLMs using HuggingFace

Module 6

Week 6: Prompt Engineering, LangChain & LLM APIs

Module 7

Week 7: Retrieval-Augmented Generation (RAG) & Vector DBs

Module 8

Week 8: Agents and Autonomous AI (Langchain, LangGraph)

Module 9

Week 9: Data Visualization & Dashboards

Module 10

Week 10: Time Series Forecasting

Module 11

Week 11: Big Data and Cloud Platforms - Google Cloud Platform

Module 12

Syllabus

Topic

Week 1: Data Science & Python Stack Refresher

Week 2: Machine Learning with Scikit-learn

Week 3: Deep Learning with PyTorch and TensorFlow

Week 4: Computer Vision and Image Processing

Week 5: NLP and LLMs using HuggingFace

Week 6: Prompt Engineering, LangChain & LLM APIs

Week 7: Retrieval-Augmented Generation (RAG) & Vector DBs

Week 8: Agents and Autonomous AI (Langchain, LangGraph)

Week 9: Data Visualization & Dashboards

Week 10: Time Series Forecasting

Week 11: Big Data and Cloud Platforms - Google Cloud Platform

Week 12: Model Explainability, Ethics & Mini-project

Compact recall strip

One drill at a time, with Theo hints, teacher lanes, and a replay queue.

Flashcards

Visual Labs

Mock Exam

OPPE Simulator

Secure Comm-Link Terminal

Syllabus Matrix Registry

Master Registry

Foundational

Diploma

BSc Degree

BS Degree

PG / MTech

35. Data Science and AI Lab

Execution Protocol

Topic

Week 1: Data Science & Python Stack Refresher

Week 2: Machine Learning with Scikit-learn

Week 3: Deep Learning with PyTorch and TensorFlow

Week 4: Computer Vision and Image Processing

Week 5: NLP and LLMs using HuggingFace

Week 6: Prompt Engineering, LangChain & LLM APIs

Week 7: Retrieval-Augmented Generation (RAG) & Vector DBs

Week 8: Agents and Autonomous AI (Langchain, LangGraph)

Week 9: Data Visualization & Dashboards

Week 10: Time Series Forecasting

Week 11: Big Data and Cloud Platforms - Google Cloud Platform

Week 12: Model Explainability, Ethics & Mini-project

Intelligence Hub