Data, AI, and Cloud Courses

Learn AI governance with Collibra. Build, embed, and scale responsible AI using tools, frameworks, and MLOps workflows.

Master the key concepts of data management, from life cycle stages to security and governance.

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

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

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

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

Learn the fundamentals of data visualization using Google Sheets.

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

Master data manipulation and analysis techniques such as CASE statements, subqueries, and CTEs in Snowflake.

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

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

Learn to use the KNIME Analytics Platform for data access, cleaning, and analysis with a no-code/low-code approach.

Boost your coding with AI—guide your coding assistant to write, test, and document code effectively.

Understand the role and real-world realities of Explainable Artificial Intelligence (XAI) with this beginner friendly course.

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

Explore Azure services like Compute, Storage, and Automation, with hands-on experience.

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

Understand the concept of reducing dimensionality in your data, and master the techniques to do so in Python.

Master sampling to get more accurate statistics with less data.

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

Conquer NoSQL and supercharge data workflows. Learn Snowflake to work with big data, Postgres JSON for handling document data, and Redis for key-value data.

Learn how to prepare credit application data, apply machine learning and business rules to reduce risk and ensure profitability.

Create multi-modal systems using OpenAIs text and audio models, including an end-to-end customer support chatbot!

Learn how to clean data with Apache Spark in Python.

Learn how to build your own SQL reports and dashboards, plus hone your data exploration, cleaning, and validation skills.

Learn how to work with Claude using the Anthropic API to solve real-world tasks and build AI-powered applications.

Learn Excel data validation to improve accuracy, create drop-downs, and manage inventory and orders with confidence.

Learn to start developing deep learning models with Keras.

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

Shift to an MLOps mindset, enabling you to train, document, maintain, and scale your machine learning models to their fullest potential.