Introduction To Machine Learning Models (AI) Testing

Introduction To Machine Learning Models (AI) Testing
Published 10/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.01 GB | Duration: 4h 54m

From Scratch, Learn testing types and Strategies involved in all the phases of ML Models (AI) with real time examples

What you'll learn Introduction to Artificial Intelligence and Machine Learning Models
Understanding Lifecycle of Machine Learning Models and their testing Scope
Shift-Left Testing in the ML Engineering Phase such as OverFitting & UnderFitting Testing
QA Functional Testing in the ML Validation Phase with 25 different Testing types & Strategies
API Testing Scope for Machine Learning Models with ChatGPT Model example
Responsible AI Testing for Machine Learning Models such as Bias, Fairness, Ethical, Privacy Testing etc
Post-Deployment Testing Strategies for ML Models such as DataDrift & Concept Drift testing
Continuous Tracking and Monitoring Activities for QA in Production

Requirements None. All the concepts are taken care with Scratch explanation

Description This course will introduce you to the World of Machine Learning Models Testing. As AI continues to revolutionize industries, many companies are developing their own ML models to enhance their business operations. However, testing these models presents unique challenges that differ from traditional software testing. Machine Learning Model testing requires a deeper understanding of both data quality and model behavior, as well as the algorithms that power them.This Course starts with explaining the fundamentals of the Artificial Intelligence & Machine Learning concepts and gets deep dive into testing concepts & Strategies for Machine Learning models with real time examples.Below is high level of Agenda of the tutorial:Introduction to Artificial IntelligenceOverview of Machine Learning Models and their LifecycleShift-Left Testing in the ML Engineering PhaseQA Functional Testing in the ML Validation PhaseAPI Testing Scope for Machine Learning ModelsResponsible AI Testing for ML ModelsPost-Deployment Testing Strategies for ML ModelsContinuous Tracking and Monitoring Activities for QA in ProductionBy the end of this course,you will gain expertise in testing Machine Learning Models at every stage of their lifecycle.Please Note:This course highlights specialized testing types and methodologies unique to Machine Learning Testing, with real-world examples.No specific programming language or code is involved in this tutorial.

We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm