What are the main topics covered in the Responsible & Safe AI Systems course?

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The course covers topics such as ethical AI design, risk management, data privacy, bias mitigation, and ensuring transparency and accountability in AI systems. It emphasizes creating AI technologies that are secure, fair, and reliable.

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Responsible Safe AI Systems course

Engineering

NPTEL NOC IITM

How to Get The Certificate

Introduction Responsible Safe AI Systems IIITH IITM

Introduction

AI Capabilities Part 1

AI Capabilities Part 2

AI Risk Part 1

AI Risk Part 2

AI Risk Part 3

AI Risk Part 4

Robustness Part 1

Robustness Part 2

Robustness Hands On

RLHF

AI Alignment

Transformers Part 1

Transformers Part 2

Hugging face

Unlearning

Approximate unlearning

Evaluation of Unlearning and Graph Unlearning Part 1

Evaluation of Unlearning and Graph Unlearning Part 2

Representation Engineering Hands on

Introduction to ML Part 1

Introduction to ML Part 2

Basics of Neural Networks PyTorch Part 1

PyTorch Basic Workflow

PyTorch Classification

Basics of Neural Networks PyTorch Part 2

Bias I

Bias II

Source of Bias

Bias Handson

Bias III

Bias IV

Bias in VLM s

Bias Handon Part 1

Bias Handson Part 2

Data Privacy

Differential Privacy

Approximate Differential Privacy

Exponential Mechanism

Cabinetry Basics

MFT and MFT related accessories

hinges workshops

CNC Computer numerical control

Jointing Systems

Cabinet tips

Festool Domino

Bandsaws

doors building

Communication Circuits Experiments

Experiments with PlutoSDR

Electric Motors

Energy Engineering

Digital Electronics

Engineering Hydrology

Engineering Mechanics