Data, AI, and Cloud Courses

Learn to process, transform, and manipulate images at your will.

To understand Fabric’s main use cases, you will explore various tools in the seven Fabric experiences.

Master text analysis with essential NLP techniques from preprocessing to advanced transformer models.

Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.

Build the foundation you need to think statistically and to speak the language of your data.

Apply PyTorch to images and use deep learning models for object detection with bounding boxes and image segmentation generation.

Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!

Learn how to create pivot tables and quickly organize thousands of data points with just a few clicks.

Learn how to create a PostgreSQL database and explore the structure, data types, and how to normalize databases.

Take your R skills up a notch by learning to write efficient, reusable functions.

Learn the fundamentals of gradient boosting and build state-of-the-art machine learning models using XGBoost to solve classification and regression problems.

Create new features to improve the performance of your Machine Learning models.

Unlock BigQuerys power: grasp its fundamentals, execute queries, and optimize workflows for efficient data analysis.

Discover how to make better business decisions by applying practical data frameworks—no coding required.

Gain the essential skills using Scikit-learn, SHAP, and LIME to test and build transparent, trustworthy, and accountable AI systems.

Building on your foundational Power Query in Excel knowledge, this intermediate course takes you to the next level of data transformation mastery

This course focuses on feature engineering and machine learning for time series data.

Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.

Learn to perform linear and logistic regression with multiple explanatory variables.

In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.

Reshape DataFrames from a wide to long format, stack and unstack rows and columns, and wrangle multi-index DataFrames.

In this four-hour course, you’ll learn the basics of analyzing time series data in Python.

Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.

Master Azure Management and Governance with our comprehensive course, ideal for data professionals seeking cloud expertise.

In this course, you’ll explore the modern MLOps framework, exploring the lifecycle and deployment of machine learning models.

Learn the fundamentals of AI security to protect systems from threats, align security with business goals, and mitigate key risks.

Take your dbt skills to the next level with this hands-on course designed for data engineers and analytics professionals.

Data storytelling is a high-demand skill that elevates analytics. Learn narrative building and visualizations in this course with a college major dataset!

Learn to perform linear and logistic regression with multiple explanatory variables.

Get your AI Act together! Understand the obligations, risks, and requirements of the EU AI Act.