Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Digital Health Specialization

Explore the multidisciplinary field of digital health, covering technologies like mobile apps, wearables, AI, and big data, emphasizing their role in public health and healthcare systems, and prepare learners to design, implement, and evaluate digital health interventions.

ML Rapid Prototyping with IBM Watson Studio

This AI course instructs data scientists on the development of automated algorithms using Watson Studio's AutoAI, with an emphasis on hyperparameter optimization, feature engineering, and model selection.

Naive Bayes 101: Resume Selection with ML

The course encompasses the following topics: the development of a text processing pipeline, the comprehension of Naive Bayes classifier theory, and the assessment of the efficacy of classification models following training.

Data Pipelines with TensorFlow Data Services

This AI course instructs students on the optimization of input pipelines, dataset segmentation, data preparation for training pipelines, and efficient ETL tasks using TensorFlow Data Services APIs.

ML with Python: Introduction

A comprehensive course on machine learning using Python, covering deep learning, GANs, image processing, various algorithms, and industrial applications, accessible to all skill levels.