Intel AI Fundamentals Specialization

ML in Healthcare: Fundamentals & Applications

Explore healthcare data mining methods, theoretical foundations of key techniques, selection criteria, and practical applications with emphasis on data cleansing, transformation, and modeling for real-world problem solving.

Computer Science and Programming: Introduction

This training offers essential knowledge in the domains of data, computation, cryptography, and programming, with a focus on the Ruby on Rails framework.

ML on AWS An Introduction

The program provides students with the knowledge and abilities to differentiate between AI technologies, host models on Amazon Sagemaker, and apply AI and machine learning to real-world activities.

Prompt Engineering and Advanced ChatGPT

Gain an extensive understanding of the strategies for optimizing chatbot applications, integration with NLP/ML, and advanced ChatGPT prompting.

MLOps1 (AWS): Deploying AI & ML Models in Production using Amazon Web Services

Acquire practical expertise in the integration of machine learning models into pipelines, optimizing performance, and efficiently managing versioning and artifacts.