Data, AI, and Cloud Courses

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

Expand your Google Sheets vocabulary by diving deeper into data types, including numeric data, logical data, and missing 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.

Master sampling to get more accurate statistics with less data.

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

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

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

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.

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

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

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.

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

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.

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

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

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.

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.

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

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

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

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.

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

Learn how to clean data with Apache Spark in Python.

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