Data, AI, and Cloud Courses

Navigate and use the extensive repository of models and datasets available on the Hugging Face Hub.

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

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

You will investigate a dataset from a fictitious company called Databel in Tableau, and need to figure out why customers are churning.

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

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

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

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

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

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

Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.

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

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

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

Leverage the OpenAI API to get your AI applications ready for production.

Learn about string manipulation and become a master at using regular expressions.

Unlock more advanced AI applications, like semantic search and recommendation engines, using OpenAIs embedding model!

Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.

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

Discover how Marketing Analysts use data to understand customers and drive business growth.

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

Learn the fundamentals of neural networks and how to build deep learning models using TensorFlow.

Master sampling to get more accurate statistics with less data.

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

Learn to start developing deep learning models with Keras.

In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.

Learn how to calculate meaningful measures of risk and performance, and how to compile an optimal portfolio for the desired risk and return trade-off.

Build up your pandas skills and answer marketing questions by merging, slicing, visualizing, and more!

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

Learn to create your own Python packages to make your code easier to use and share with others.