Data, AI, and Cloud Courses

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

Master sampling to get more accurate statistics with less data.

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

Find tables, store and manage new tables and views, and write maintainable SQL code to answer business questions.

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

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

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

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

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

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

Master data preparation, cleaning, and analysis in Alteryx Designer, whether you are a new or seasoned analyst.

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

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

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

Master GitHub Copilot to understand, write, and refine code with context, customization, and smart features.

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.

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

Explore AI and data monetization strategies, build ethical infrastructures, and align products with business goals.

Learn how to build intelligent agents that reason, act, and solve real-world tasks using Python.

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

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

In this course you will learn how to predict future events using linear regression, generalized additive models, random forests, and xgboost.

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

Discover the exciting world of Deep Learning for Text with PyTorch and unlock new possibilities in natural language processing and text generation.

Dive into the world of machine learning and discover how to design, train, and deploy end-to-end models.

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

Elevate your Machine Learning Development with CI/CD using GitHub Actions and Data Version Control

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

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

Learn how to clean data with Apache Spark in Python.