Data, AI, and Cloud Courses

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0 in Python.

This course dives deeper into the Azures backbone by going into topics like containers, virtual machines and much more.

Master Power Pivot in Excel to help import data, create relationships, and utilize DAX. Build dynamic dashboards to uncover actionable insights.

Learn how to use MLflow to simplify the complexities of building machine learning applications. Explore MLflow tracking, projects, models, and model registry.

Learn Databricks SQL for data engineering, analytics, and real-time data workflows in the lakehouse architecture.

Learn to write cleaner, smarter Java code with methods, control flow, and loops.

Learn how to perform financial analysis in Power BI or apply any existing financial skills using Power BI data visualizations.

Learn to connect Tableau to different data sources and prepare the data for a smooth analysis.

Learn to clean data as quickly and accurately as possible to help you move from raw data to awesome insights.

Learn to use facets, coordinate systems and statistics in ggplot2 to create meaningful explanatory plots.

Discover how to become a data defender and keep data safe and secure with this beginner-friendly interactive course.

Learn how and when to use hypothesis testing in R, including t-tests, proportion tests, and chi-square tests.

Learn about the power of Databricks Lakehouse and help you scale up your data engineering and machine learning skills.

What makes LLMs tick? Discover how transformers revolutionized text modeling and kickstarted the generative AI boom.

Learn the theory behind responsibly managing your data for any AI project, from start to finish and beyond.

R Markdown is an easy-to-use formatting language for authoring dynamic reports from R code.

Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!

Master Apache Kafka! From core concepts to advanced architecture, learn to create, manage, and troubleshoot Kafka for real-world data streaming challenges!

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

Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.

In this course you will learn the basics of machine learning for classification.

Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.

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

Learn how to leverage statistical techniques using spreadsheets to more effectively work with and extract insights from your data.

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

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

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

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

Transform almost any dataset into a tidy format to make analysis easier.

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