Data, AI, and Cloud Courses

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

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

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.

Learn to build AI applications using Snowflake Cortexs built-in LLM functions for text analysis, generation, and multi-step workflows.

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

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

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

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

Build a customer-support assistant step-by-step with Google’s Agent Development Kit (ADK).

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

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

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

Learn how to use FastAPI to develop APIs that support AI models, built to meet real-world demands.

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

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

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

Create interactive data visualizations in Python using Plotly.

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

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

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

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

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

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

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

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

Master AWS security, governance, and cost optimization to prepare for the Cloud Practitioner certification.

Master sampling to get more accurate statistics with less data.

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

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