GenAI for Machine Learning Engineers

Master the integration of Generative AI into your machine learning workflows to automate tasks, enhance model performance, and ensure responsible AI practices.

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Fundamentals of GenAI for Machine Learning

Unit 1: GenAI Core Concepts

Unit 2: GenAI Model Landscape

Unit 3: Setting Up Your Environment

Data Augmentation and Feature Engineering with GenAI

Unit 1: GenAI for Data Augmentation

Unit 2: GenAI for Feature Engineering

Unit 3: Evaluating GenAI Impact

GenAI for Model Debugging, Explainability, and Anomaly Detection

Unit 1: GenAI for Model Debugging

Unit 2: GenAI for Model Explainability

Unit 3: GenAI for Anomaly Detection

Automating ML Pipelines and Ensuring Responsible GenAI Use

Unit 1: GenAI for ML Pipeline Automation

Unit 2: Integrating GenAI into ML Workflows

Unit 3: Responsible GenAI Use and Security

Unit 4: Evaluating and Comparing GenAI Models