Generative Artificial Intelligence (AI) engineering with Azure Databricks uses the platform's capabilities to explore, fine-tune, evaluate, and integrate advanced language models. By using Apache Spark's scalability and Azure Databricks' collaborative environment, you can design complex AI systems.

In this learning path, the student is exposed to various ways to:

Row-level security (RLS) allows you to create a single or a set of reports that targets data for a specific user. In this module, you'll learn how to implement RLS by using either a static or dynamic method and how Microsoft Power BI simplifies testing RLS in Power BI Desktop and Power BI service.

Learn how to construct transactions to control the behavior of multiple Transact-SQL statements. You'll learn how to determine whether an error has occurred, and when to roll back statements.

This course focuses on conceptually understanding and robustly implementing various Bootstrap methods in estimation, including correctly using the non-parametric bootstrap, extending the bootstrap method to a Bayesian world, and more.

Charts allow any audience to understand a topic and quickly make decisions. This course will teach you how to use chart elements to your advantage while creating visualizations based on various types of data.

Some problems are difficult or impossible to solve with standard mathematical or statistical approaches - these can often be solved by using the Monte Carlo method. This course covers multiple Monte Carlo applications for ready use.

This course offers a deep dive into addressing dataset incompleteness. From basic drop methods to intricate regression imputations, emerge equipped to tackle any missing data challenge with confidence.

This course shows how R’s capabilities can help you retrieve data from relational databases and make it available to R for adding value with other operations, such as analysis and visualization.

R is a widely used programming language for statistical computing. This course will teach you the fundamentals of understanding how to import formatted text files within R.

Can we characterize intelligent behavior? Are there theoretical foundations on which Artificial Intelligence can be grounded?

In this course, you’ll learn how to use Pandas index objects for advanced data analysis. You'll learn how to create and use numerical, interval, period, categorical, date-time, time-delta, and multi-indexing in Pandas to retrieve and manipulate data.