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Responsible Safe AI Systems course

Engineering

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

Fairness in Machine Learning

Interpretability I

Interpretability II

Interpretability Hands on Part 1

Interpretability Hands on Part 2

AI Policies Regulations AGI Part 1

AI Policies Regulations AGI Part 2

Another Engineering Courses

Cabinetry Basics

MFT and MFT related accessories

hinges workshops

CNC Computer numerical control

Jointing Systems

Cabinet tips

Festool Domino

Bandsaws

Responsible Safe AI Systems course

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